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Conversational Shopping Trends

Conversations Are Becoming a Revenue Channel: The Data Proves It

Brands using AI-driven conversational commerce are seeing measurable gains in purchase rates, retention, and AOV. The data from 16,000+ ecommerce brands shows why conversation has become the new path to checkout.
By Gabrielle Policella
0 min read . By Gabrielle Policella

TL;DR:

  • Customer journeys are collapsing to a single conversation. The traditional browse-and-buy journey is giving way to AI-guided shopping that moves from discovery to purchase in a single exchange.
  • 79% of brands say AI-driven conversational commerce has increased their sales and purchase rates.
  • AI-only influenced orders grew 63% in a single year, from 2.7 million in Q1 to 4.4 million in Q4.
  • Brands treating conversation as a revenue channel. They’re not just a support function, generating higher AOV, shorter buying cycles, and stronger retention.

The page-based shopping experience dominated for decades. Customers would search, browse, compare, abandon, get retargeted, return, and eventually buy (sometimes). 

That journey is no longer the only option.

Shoppers are turning to chat, messaging, and AI-powered tools to find what they need. Instead of clicking through product pages or reading static FAQs, they ask questions, have back-and-forth conversations, and get answers that move them closer to a purchase in real time. The path to checkout has changed, and the brands that recognize this are pulling ahead.

Read our 2026 State of Conversational Commerce Report to learn more about conversation commerce trends from 400 ecommerce decision-makers and 16,000+ ecommerce brands using Gorgias. 

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The shopping journey has collapsed into a single thread

The traditional shopping journey was a solo experience. A shopper had a need, searched for options, browsed across sessions, and eventually made a decision — often days later, after being retargeted multiple times. Support only entered the picture after the purchase.

Side-by-side comparison showing traditional page-based shopping with multiple steps and drop-offs versus a streamlined conversation-led journey with AI guidance and fewer friction points.

The conversation-led journey collapses that timeline:

  1. A shopper recognizes a need and starts a conversation via chat, messaging, or a search-triggered prompt
  2. An AI agent asks clarifying questions about preferences, budget, and constraints
  3. The AI provides personalized product recommendations in real time
  4. The shopper validates concerns about fit, compatibility, delivery, and returns, all inside the conversation
  5. The shopper completes the purchase directly within or immediately after that exchange
  6. The AI picks up the conversation post-purchase for order tracking and proactive support
  7. A human agent steps in only when the situation calls for it

What used to take days now takes minutes. Discovery, evaluation, and purchase happen in a single thread.

Conversation is a revenue strategy, not a support upgrade

79% of brands agree that AI-driven conversational commerce has increased sales and purchase rates in their business. When brands were asked to rank the highest-return areas:

  • 38% cited improved customer support efficiency
  • 23% pointed to higher customer retention and loyalty
  • 20% saw improved purchase rates

Those numbers reflect something important: the value of conversation compounds. Faster support reduces friction. Better retention raises lifetime value. More confident shoppers buy more often and spend more per order.

The brands seeing the biggest returns aren't just using AI to deflect tickets. They're using it to create one-to-one shopping experiences at scale.

What the data shows about AI-influenced orders

Looking at AI-only influenced orders across key verticals like Apparel and Accessories, Food and Beverages, Health and Beauty, Home and Garden, and Sporting Goods, the growth across a single year was significant. 

Quarterly bar chart showing conversations linked to orders increasing from about 2.7M in Q1 to 4.4M in Q4, with a small share influenced by AI.
Quarterly bar chart showing conversations linked to orders growing from about 753K in Q1 to just over 1M in Q4, with a small AI-driven portion.
Quarterly bar chart showing conversations linked to orders growing from about 2.05M in Q1 to 2.82M in Q4, with a small portion influenced by AI.
Quarterly bar chart showing conversations linked to orders increasing from about 651K in Q1 to 978K in Q4, with a minor AI contribution.
Quarterly bar chart showing conversations linked to orders rising from about 322K in Q1 to 509K in Q4, with minimal AI influence.

Across industries, ecommerce brands saw AI step into conversations, reduce shopper hesitation, and drive higher QoQ conversion rates. 

Learn more about AI-powered revenue generation in the full 2026 Conversational Commerce Report.

Why brands are making this a strategic priority

84% of brands say the strategic importance of conversational commerce is higher than it was a year ago. 82% agree it will be mainstream in their sector within two years.

Statistics showing 84% of brands increased the strategic importance of conversational commerce and 82% expect AI-driven conversational commerce to become mainstream within two years.

That shift is registering at the leadership level because of what conversational commerce does to the buying experience. Creating one-to-one touchpoints earlier in the journey drives higher AOV, shorter buying cycles, and stronger purchase rates. Shoppers who get real-time answers to their questions are more confident.

What this looks like in practice: TUSHY

TUSHY, known for eco-friendly bidets and bathroom essentials, is a useful example of what happens when you take conversational commerce seriously.

Bidets aren't an impulse purchase. Shoppers have real questions about fit, compatibility, and installation. Those questions used to go unanswered until the CX team could respond, often after the customer had abandoned the cart.

TUSHY used Gorgias's AI Agent and shopping assistant capabilities to automate pre-sales support. AI Agent engaged shoppers in real-time conversations, addressed their concerns directly, and built confidence at the moment of highest intent.

This resulted in a 190% increase in chat-based purchases, a 13x return on investment, and twice the purchase rate of human agents.

How to apply this to your strategy

You don't need to overhaul your entire operation to start seeing results. The most effective approach is to start where the impact is clearest and expand from there.

A few places to begin:

  • Pre-sales chat. Identify your most common pre-purchase questions (sizing, compatibility, shipping timelines) and ensure your AI can answer them confidently and promptly.
  • Product page engagement. Use proactive chat prompts triggered by page behavior to start conversations before shoppers leave.
  • Post-purchase follow-up. Let AI pick up the conversation after checkout with order updates and proactive support, reducing inbound volume and building trust.
  • Human escalation. Define clearly which situations require a human agent – complex issues, emotional exchanges, high-stakes decisions. 

Want to see the full picture of where conversational commerce is headed in 2026? Read the full report to explore the data, trends, and strategies shaping the next era of ecommerce.

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min read.
ai adoption trends

AI Is Table Stakes for Ecommerce: What the Data Tells Us About 2026

AI adoption in ecommerce has reached 96% in 2026, with use cases spanning support automation, personalization at scale, product discovery, and end-to-end operations.
By Gabrielle Policella
0 min read . By Gabrielle Policella

TL;DR:

  • AI adoption is rapidly accelerating. 96% of ecommerce professionals now use AI in their roles, up from 69% in 2024.
  • AI has moved beyond support automation. Use cases have evolved into revenue generation, personalization, and logistics.
  • Brands are tying AI success to profit-and-loss outcomes. 60% of brands consider AOV a top indicator of AI effectiveness.  

A year ago, ecommerce brands were still debating whether AI was worth the investment. That debate is over. Today, nearly every ecommerce professional uses AI to do their job.

The shift isn't just about adoption. It's about what AI is used for and how brands measure its impact. Support automation was the entry point. Now, AI is embedded across the full operation, from product recommendations to inventory control to real-time shopping conversations.

In our 2026 State of Conversational Commerce Report, we break down trends on AI usage among 400 ecommerce decision-makers and 16,000+ ecommerce brands using Gorgias. 

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AI adoption has reached a tipping point

If we rewind 12 months ago, the industry was still split on AI. Some ecommerce professionals were excited, but most were still hesitant. In 2024, 69% of ecommerce professionals used AI in their roles. By 2025, that number reached 77%. In 2026, it hit 96%.

Ecommerce professionals using AI: 69.2% in 2024, 77.2% in 2025, and 96% in 2026.

The confidence numbers back it up. 71% of brands say they are confident using AI for ecommerce, and 73% are satisfied with its business impact. 

In early 2025, only 30% of ecommerce professionals rated their excitement for AI at 10/10. Today, zero percent of respondents describe themselves as hesitant about AI. 

Views on AI among ecommerce professionals: 33% say it’s transforming their business, 50% see steady improvements, 18% say it hasn’t delivered, and 0% remain hesitant.

AI use cases now span the full ecommerce stack

Using AI in ecommerce is not new. In fact, it dates back to the 1980s with the invention of algorithms and expert systems. And if you’ve ever leveraged similar product recommendations or chatbots, you’ve already integrated AI into your ecommerce stack. 

Modern AI is far more sophisticated. 

With the rise of agentic commerce and conversational AI, brands began leveraging AI agents to automate the processing of repetitive support tickets. That’s still happening today, but the scope has expanded beyond the support queue. 

AI use cases in ecommerce include customer support automation (96%), product recommendations (88%), tracking updates (69%), personalization (64%), inventory control (51%), dynamic pricing (36%), and order fulfillment (18%).

Ecommerce brands are deploying AI across every layer of their operation:

  • Customer support automation: 96%
  • Product recommendations: 88%
  • Automated tracking and status updates: 69%
  • Personalization: 64%
  • Inventory control: 51%
  • Dynamic pricing and discounting: 36%
  • Order fulfillment: 18%

When brands were asked which channels contribute most to their AI success, conversational channels dominated. Social media messaging led at 78%, followed by SMS at 70%, and website live chat at 51%. Shoppers want fast, personal conversations, and AI is the best way to deliver that at scale.

Learn more about AI adoption, perception, and use case trends in the full 2026 Conversational Commerce Report.

How AI is changing CX success metrics

For decades, customer support success meant fast response times and high satisfaction scores. Those are still important indicators of success, but leading brands are adding revenue-focused metrics to their dashboards.   

91% of brands still track CSAT as a measure of AI's impact. But 60% now include AOV as a top indicator, and higher-revenue brands earning $20M+ are focusing on metrics like total operating expenses, cost per resolution, incremental revenue, and one-touch ticket rate.

AI impact measured by 91% customer satisfaction, 60% average order value, and 43% resolution time.

AI can now start a conversation, ease customer doubts, sell, upsell, and recover abandoned carts in a single conversation. When you’re only measuring CSAT, you’re ignoring the real ROI of conversational AI investment. 

AI makes every conversational channel a storefront

Virtual shopping assistants now proactively engage shoppers, adapt to their needs in real time, and offer contextual product recommendations and upsells. When the moment calls for it, they can close the deal with a targeted discount. 

Gorgias brands using AI Agent's shopping assistant capabilities nearly doubled their purchase rates and converted 20–50% better than those using AI Agent for support only.

Orthofeet, the largest provider of orthopedic footwear in the US, is a concrete example of this in practice. Using Gorgias, they achieved:

  • 56% of support tickets automated in 2 months
  • Email response times down from 24 hours to 35 seconds
  • Double-digit revenue growth without adding headcount. 

What this means for your AI strategy

The data tells a clear story: AI has evolved beyond a tool for handling tier 1 support tickets. It’s a core part of your revenue generation strategy. 

57% of brands are already using AI for 26–50% of all customer interactions, and 37% expect that share to rise to 51–75% within the next two years. The brands building toward that range now are the ones who will have the operational advantage when it matters most.

The practical question isn't whether to invest in AI. It's where to focus first. Based on where brands are seeing the most impact, three priorities stand out:

  • Start with high-volume, low-complexity tickets. WISMO (where is my order) inquiries, return policy questions, and order status updates are where AI delivers the fastest return. Automate these first.
  • Expand into conversational channels. Social messaging and SMS are where AI is driving the most success right now.
  • Connect AI performance to revenue metrics. If you're only measuring CSAT and response time, you're missing half the story. Add AOV, conversion rate, and incremental revenue to your reporting.

Want to go deeper on the full 2026 conversational commerce trends? Read the complete report for data across every major AI use case in ecommerce.

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min read.
Conversational Commerce Trends

The State of Conversational Commerce: 5 Trends Reshaping Ecommerce in 2026

Explore 5 key trends from The State of Conversational Commerce Trends Report in 2026.
By Gabrielle Policella
0 min read . By Gabrielle Policella

TL;DR:

  • AI is resolving tickets, not just replying. AI now handles 31% of customer interactions for ecommerce brands, and that number is expected to nearly double within two years.
  • Every channel is becoming a storefront. Conversations are replacing the traditional browse-and-buy journey, with 79% of brands reporting sales from AI-driven interactions. 
  • AI is shortening the buying cycle. 93% of AI-influenced purchases happen within the first 48 hours of the conversation. 
  • CX teams are changing, not shrinking. Ecommerce brands are actively hiring for more technical roles to implement, coach, and maintain AI. 
  • The winning model is hybrid. AI handles volume and speed, while humans handle complexity and judgment. 

The way shoppers buy online has shifted and customers are at the center. 

They no longer want to scroll through product pages, dig through FAQs, or wait 24 hours for an email reply. They open a conversation, ask a specific question, and expect a useful answer in seconds. Brands that can’t deliver these experiences at scale are seeing customer hesitation turn into abandoned carts and lost revenue. 

This shift has a name: conversational commerce. It's the practice of using real-time, two-way conversations as your primary sales channel, through chat, AI agents, messaging apps, and voice. 

What started as an experiment for early adopters has become a key growth lever, with 84% of ecommerce brands treating conversational commerce as a strategic pillar this year vs. last year. 

Bar chart showing percentage of customer interactions handled by AI: 31% in 2025 and 47% within the next two years.

We surveyed 400 ecommerce decision-makers across North America, the U.K., and Europe to understand how conversational commerce and AI are reshaping the ecommerce landscape. These findings are complemented by aggregated and anonymized internal Gorgias platform data from 16,000+ ecommerce brands.

The State of Conversational Commerce in 2026 trends report breaks down all of the findings, including five key trends shaping the ecommerce landscape. 

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Trend 1: AI is table stakes for ecommerce and it’s no longer just about efficiency

A few years ago, adding an AI chatbot to your site that could provide tracking links and Help Center article recommendations was a differentiator. Today, it's table stakes. McKinsey found that 71% of shoppers expect personalized experiences, and 76% get frustrated when they don't get them. 

Right now, most ecommerce professionals use AI, with 93% having used it for at least 1 year. Enthusiasm is accelerating quickly, with only 30% of ecommerce professionals rating their excitement for AI at 10/10 in April 2025. Similarly, while AI adoption rose steadily year over year, it reached a clear peak in 2026.

Bar chart showing ecommerce professionals using AI: 69.2% in 2024, 77.2% in 2025, and 96% in 2026.

The use cases driving this adoption are practical and high-volume:

  • Order tracking and status updates
  • Returns, exchanges, and refund requests
  • Shipping FAQs and delivery estimates
Bar chart showing AI use cases across ecommerce: customer support automation (96%), AI product recommendations (88%), automated tracking updates (69%), AI personalization (64%), inventory control (51%), dynamic pricing (36%), and order fulfillment (18%).

These are the tickets that flood brands’ inboxes every day. AI agents resolve them instantly, without pulling teams away from conversations that actually require human judgment.

Explore AI adoption and use case data in more depth in the full report. 

Trend 2: Conversations are the new path to checkout

The traditional ecommerce funnel, visit site, browse products, add to cart, check out, is losing ground. Shoppers now discover products on Instagram, ask questions via direct message, and complete purchases without ever visiting a website.

Side-by-side comparison of page-based and conversation-led customer journeys, highlighting AI-driven real-time recommendations, proactive information, and post-purchase support within a single conversation.

Conversational AI is actively increasing revenue, with 79% of brands reporting that AI-driven interactions have increased sales and conversion in their business.

Bar chart showing percentage of customer interactions handled by AI: 31% in 2025 and 47% within the next two years.

The practical implication is that every channel is becoming a storefront. Creating personalized touchpoints with customers earlier in the journey, through proactive engagement, is impacting the bottom line. 

Read the full report to explore how AI conversions have increased QoQ by industry.  

Trend 3: AI is accelerating the purchase cycle

Pre-purchase hesitation is one of the biggest conversion killers in ecommerce. A shopper lands on your product page, has a question about sizing or compatibility, can't find the answer quickly, and leaves. That's a lost sale that had nothing to do with your product.

Conversational AI changes that dynamic. When a shopper can ask a question and get an accurate, personalized answer in real time, the friction disappears. 

Brands using Gorgias saw this play out at scale in 2025. When AI Agent recommended a product, 80% of the resulting purchases happened the same day, and 13% happened the next day. 

AI chat interface recommending apparel items based on cart contents, alongside statistic stating 93% of purchases occur within 48 hours of an AI agent’s recommendation.

Brands are further accelerating the buying cycle through proactive engagement. On-site features such as suggested product questions, recommendations triggered by search results, and “Ask Anything” input bars drove 50% of conversation-driven purchases during BFCM 2025. 

Explore how AI is collapsing the purchase cycle in Trend 3 of the report.

Trend 4: AI is making CX teams more technical 

There's a persistent narrative that AI is making CX teams redundant. The data tells a different story. 62% of ecommerce brands are planning to grow their teams, not cut them. But the scope of those teams is changing.

Bar chart of expected headcount changes over 12 months: 21% increase significantly, 41% increase somewhat, 28% stay the same, 9% decrease somewhat, and 1% decrease significantly.

New roles are emerging around AI configuration and quality assurance. Teams are investing in technical members to write AI Guidance instructions, develop tone-of-voice instructions, and continuously QA results. 

CX teams are also bridging the gap between support goals and revenue goals, as the two functions increasingly overlap.

Donut chart indicating 77% of companies report at least some convergence between support and sales functions due to AI.

The result is CX teams that are more technical than they were before. Agents who once spent their days answering repetitive tickets are now spending that time on higher-value work: complex escalations, VIP customer relationships, and improving the AI systems and knowledge bases that handle the volume.

Learn more about the evolution of CX roles in Trend #4. 

Trend 5: The future is hybrid: AI-first, humans when it counts

Despite increasing AI adoption, data shows that ecommerce brands shouldn’t strive for 100% automation. Winning brands are building systems in which AI handles repetitive tier-1 tickets, and humans handle complex, sensitive cases. 

Chart showing which inquiries are handled by AI vs. humans.

AI handles speed and scale. It resolves order-tracking requests at 2 a.m., processes return-eligibility checks in seconds, and answers the same shipping question for the thousandth time without compromising quality. 

Human agents handle conversations that require context, empathy, or decisions that fall outside the standard playbook. There are several topics where shoppers still prefer human support.

Bar chart showing customers prefer human support for order issues (54%), product advice (35%), and returns or refunds (24%).

Successful hybrid systems require continuous iteration, meaning reviewing handover topics, Guidance, and reviewing AI tickets on a weekly basis. 

Discover how leading brands are balancing human and AI systems in Trend #5. 

Where conversational commerce is heading by 2030

The 2026 trends are about expansion and standardization. The 2030 predictions are about what comes next.

Bar chart showing brand expectations by 2030: 89% expect AI voice purchasing, 29% expect AI multilingual support, and 19% expect proactive AI upsells and cross-sells.

Voice-based purchasing is the biggest bet on the horizon. Only 7% of brands currently use voice assistants for commerce, but 89% expect it to be standard by 2030. The vision is a customer who can reorder a product, check their subscription status, or manage a return entirely over the phone.

Proactive AI is the other major shift. Rather than waiting for a customer to reach out, AI will anticipate needs based on browsing behavior, purchase history, and where someone is in their relationship with your brand. Think of it as the digital equivalent of a sales associate who remembers what you bought last time and knows what you're likely to need next.

Explore where ecommerce brands are allocating their AI budgets in the full report. 

Start building your conversational commerce strategy today

The brands winning in 2026 are creating smart, scalable systems where AIhandles volume and humans handle nuance. They’re treating every conversational channel as an opportunity to serve and sell.

The data is clear: AI adoption is accelerating, customer expectations are rising, and the revenue impact of getting this right is measurable.

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min read.
Create powerful self-service resources
Capture support-generated revenue
Automate repetitive tasks

Further reading

Outlook Support New Editor

Outlook support & New editor

By
1 min read.
0 min read . By

We've been busy, but not deaf!

Last few months we got lots of feedback about our extension and found to our delight that most people are satisfied, but still a few recurrent issues came up:

  • The HTML/WYSIWYG editor sucks.
  • No support for Outlook.com.

We listened and now we're presenting:

  • A brand new editor
  • Support for outlook.com
  • More on the Rich-Text editor

WYSIWYG editors for the web are notoriously buggy and are just difficult to develop.

I have yet to see one that is bug free. There are few venerable editors that do a good job like TinyMCE, FKEditor or CKEditor.. but they are big and all have edge cases that break the intended formatting and add a lot of garbage html.

There are newer good quality editors in town such as Redactor. The one that got my attention and finally landed in Gorgias is this wonderful editor called which is super lightweight, uses modern content-editable (no i-frames) and 'just works' most of the time. That's not to say it's perfect, but it's good enough and I'm satisfied with it's direction in terms of development.

Enjoy it and as always send us bug-reports or feedback on: support@gorgias.com

No items found.
Seat-Based vs. Usage-Based Pricing

Seat-Based vs. Usage-Based Pricing: Which Model Fits Your Ecommerce Support Stack?

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Seat-based pricing charges a fixed fee per agent, regardless of usage. It’s predictable and easy to budget, but you may overpay during slow periods or when agents are underutilized.
  • Usage-based pricing charges based on actual activity like tickets or AI interactions. It scales with demand and can be more efficient, but costs are harder to forecast and can spike.
  • Pricing model matters as much as the price itself. The wrong structure can lead to wasted spend, surprise overages, and ongoing friction with finance.
  • Seasonality and AI usage heavily influence total cost. Volume swings and automation can quickly make one model more cost-effective than another.
  • Hybrid pricing balances predictability and flexibility. A base fee plus usage charges reduces risk, especially when paired with strong billing guardrails.

Picking a support platform is one decision. Figuring out whether you can actually forecast the bill is another. For ecommerce brands, the pricing model — how costs are calculated, what drives them up, and what happens during a volume spike — often creates more friction than the price itself.

This guide breaks down seat-based, usage-based, and hybrid pricing in ecommerce CX to help you answer the questions that matter most: Will this be easy to budget? What happens if usage spikes? Will you overpay during slow seasons? And how does AI complicate the cost?

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Why pricing model matters as much as price

The wrong pricing model creates budget problems, internal friction, and surprise charges even if the platform itself is a strong fit. That's why the structure of how you're billed matters as much as the number on the invoice.

A seat-based model might look affordable until you're paying for 15 agents during a slow January when half the team is idle. A usage-based model might seem efficient until a Black Friday spike generates an overage nobody budgeted for. The model shapes how costs behave across seasons, headcount changes, and AI adoption. The wrong fit creates friction at renewal, during audits, and every time you have to explain a variable invoice to finance.

The real tradeoff isn't just predictability versus flexibility. It's whether your pricing structure matches how your team actually operates, and whether you can explain it clearly enough to get and keep internal buy-in.

What is seat-based pricing vs usage-based pricing?

Category

Seat-Based

Usage-Based

What you pay for

Number of agents

Activity (tickets, AI, etc.)

Cost

Fixed per seat

Varies with usage

Predictability

High

Lower

Flexibility

Low

High

Main risk

Paying for unused seats

Cost spikes with high volume

The core difference is simple: seat-based pricing ties your costs to team size, and usage-based pricing ties your costs to activity. Everything else flows from that distinction.

With seat-based pricing, you pay a flat fee per user regardless of how much your team actually uses the platform. Predictable, easy to budget, but you pay the same whether agents are handling 500 tickets a day or 50.

With usage-based pricing, you're billed for what you actually consume: tickets resolved, conversations handled, AI interactions completed. Costs can scale down during slow periods, but also up when volume spikes.

Most platforms today sit somewhere between the two, with a base fee for core access and usage charges on top for features like AI or automation. Understanding the billing units in play is key to forecasting what you'll actually pay.

Common billing units in CX tools:

  • Seats: fixed fee per agent or user account
  • Tickets or conversations: charges per support interaction handled
  • Automations: fees per workflow or rule triggered
  • AI interactions or resolutions: costs tied to AI-handled or AI-resolved conversations

Five questions to ask before you choose a pricing model

Before evaluating pricing models, it helps to get clear on what you actually need from a billing structure. These are the questions worth answering before you start comparing plans.

  1. Can I forecast this cost 12 months out? If your finance team needs a fixed number for annual planning, that requirement should drive your model decision as much as any feature comparison.
  2. What's the worst-case scenario if usage spikes? Know the ceiling before you sign. Understand exactly what triggers an overage, how much it costs, and whether you can set a hard cap to prevent it.
  3. Where are we most likely to pay for something we don't use? Seat-based models create waste during slow seasons. Prepaid usage volume creates waste if forecasts are off. Identify which risk is more manageable for your team before committing to a structure.
  4. How does AI change our cost exposure? If you're evaluating a platform with AI features, treat AI pricing as a separate evaluation. Understand the billing units, the thresholds, and what happens when AI usage scales up.
  5. Can we explain this bill to finance every month? Variable costs require justification. If your invoice will fluctuate, make sure you have the data and guardrails in place to explain why, and a clear ceiling on how high it can go.

Seat-based pricing: where it works and where it creates friction

Seat-based pricing means the bill is fixed, the math is simple, and finance knows exactly what to expect every month.

It works best for teams with stable headcount and consistent ticket volume year-round. If your support team size doesn't change much and your demand is predictable, seat-based pricing removes a lot of billing complexity without many cons.

The friction shows up when your usage doesn't match your headcount. During slow seasons, you're paying full price for seats that aren't generating much value. When AI starts resolving a large share of your tickets, the per-agent model starts to feel misaligned with where the work is actually happening. And when other teams want occasional platform access, such as marketing pulling customer insights or finance reviewing chargeback data, every additional user has a cost attached.

Seat-based pricing works well when:

  • Your support headcount is stable year-round
  • Ticket volume is consistent and predictable
  • Your finance team requires fixed, forecastable costs

It creates friction when:

  • You're paying for idle seats during off-peak seasons
  • AI or automation is handling a significant share of your ticket volume
  • Cross-team access needs are growing but budget is tight

Usage-based pricing: where it works and where buyers hesitate

Usage-based pricing is the more efficient model on paper. You pay for what you use, costs scale with demand, and you're not carrying unused capacity through slow seasons.

It works best for lean teams, highly automated operations, and brands with significant volume swings between peak and off-season. If AI is resolving the majority of your tickets, usage-based pricing reflects that reality better than paying per human agent.

The hesitation is legitimate, though. Variable billing is harder to forecast, harder to explain to finance, and carries real overage risk if usage spikes faster than expected. There's also a definitional problem: not every platform defines billable units the same way. A "conversation" on one platform may not equal a "conversation" on another, which makes apples-to-apples comparisons difficult.

Usage-based pricing works well when:

  • Your ticket volume varies significantly across the year
  • AI or automation handles a large share of your support volume
  • You want costs to scale down during slow periods, not just up during peaks

It creates friction when:

  • Monthly cost variance makes internal budgeting and approvals difficult
  • Billable unit definitions are unclear or hard to monitor
  • Growth in support volume automatically means a higher bill without a clear ceiling

Why seasonality changes the pricing decision in ecommerce

For seasonal ecommerce brands, the pricing model question is more urgent than it is for most SaaS buyers. A structure that works fine for a stable support team can create serious budget problems when your ticket volume in November is five times what it is in February.

Usage-based pricing looks like the natural fit. Costs go up during peaks and come back down in slow periods. But variable billing during your highest-revenue, highest-stress period of the year carries its own risk. An unexpected overage in November is a harder conversation to have than one in March.

The goal isn't just a model that scales up during peak season. It's one that scales back down reliably afterward, has a clear ceiling on costs, and doesn't lock you into commitments based on peak-period usage for the rest of the year. Before signing anything, make sure you understand exactly how the pricing behaves at both ends of your volume range, not just the high end.

Is a hybrid pricing model the better fit?

Hybrid pricing is the most practical option for most ecommerce teams. It reduces the most common risks on both sides: the waste of paying for unused seats and the unpredictability of a fully variable bill.

A typical hybrid structure includes a base fee for core platform access and usage-based charges on top for features like AI, automation, or high-volume messaging. You get cost certainty for everyday operations and flexibility where your usage is harder to predict.

Common hybrid structures include:

  • Base platform fee + usage: fixed access to core features, variable charges for premium capabilities
  • Seat fee + usage threshold: per-agent pricing up to a usage limit, then per-unit charges above it
  • Bundled usage + overage pricing: a set amount of usage included in the plan, with clear rates for anything above it

The risk is complexity. When you're tracking multiple billing meters at once, forecasting gets harder, auditing gets harder, and explaining the bill to finance gets harder. A hybrid model is only better than a pure usage model if it's transparent enough to actually manage.

Billing guardrails that reduce pricing risk

Regardless of which model you choose, the platforms that handle pricing best give you tools to stay in control of costs.

The most important controls to look for are usage caps that set a hard ceiling on monthly consumption, alert thresholds that notify you before you hit a limit, and transparent overage rules with published rates rather than ambiguous "contact us" language. Beyond those basics, look for clear definitions of what counts as a billable event, flexibility to upgrade or downgrade mid-cycle without penalties, and monthly commitment options that let you test a pricing model before locking into an annual contract.

If a vendor can't clearly answer what triggers a charge, what the ceiling is, and how you'll be notified before you hit it, that's a signal the pricing structure will be harder to manage than it needs to be.

How AI changes pricing for support platforms

AI introduces a second pricing layer that many buyers don't fully account for until after they've signed. Here's how it changes the pricing equation:

  • AI doesn't fit per-seat billing. It works 24/7, handles variable volumes, and its value isn't tied to a single human user
  • Platforms charge for work performed, not access. You pay for conversations handled, tickets resolved, or API calls made
  • Common billing units vary by platform. Per conversation, per resolution, token-based, or tiered by complexity
  • Per-resolution pricing is the most value-aligned. You only pay when the AI successfully closes a ticket without human intervention
  • AI costs are harder to forecast than seat costs. Usage is less predictable than headcount, especially during peak seasons
  • Hard caps and escalation rules are essential. Without them, AI usage can scale faster than your budget allows
  • AI pricing often requires a separate evaluation. Treat it as a second pricing decision, not a footnote to the core platform cost

How to choose the right pricing model for your support stack

No single model works for every ecommerce brand, but most teams fit a recognizable pattern. Work through these steps to identify the right fit.

Step 1: Assess your team and volume stability

If your headcount and ticket volume are consistent year-round, seat-based pricing is likely the simpler, lower-risk choice. If either fluctuates significantly, move to step 2.

Step 2: Map your seasonal exposure

Identify the gap between your peak and off-peak support volume. The wider that gap, the more a fixed seat-based model will cost you in unused capacity during slow periods.

Step 3: Evaluate your automation and AI maturity

If AI or automation is already handling a significant share of your tickets, or you plan to scale it, evaluate AI pricing as a separate layer. A platform that looks affordable on seats may become expensive once AI usage is factored in.

Step 4: Clarify your finance and procurement requirements

Understand what your internal approval process requires. If finance needs a fixed annual number, that constraint should shape your model decision before you start comparing features.

Step 5: Match the model to your profile

  • Stable team, predictable volume: seat-based
  • Seasonal business or variable demand: usage-based
  • Growing team or heavy AI usage: hybrid

Make the pricing model work for your ecommerce support goals

The right pricing model matches how your team actually operates.

As your support volume grows and AI takes on more of the workload, reassess your pricing structure at least once a year. The model that made sense at 10 agents may work against you at 30.

Once you've identified the right model, the next step is finding the right plan.

See how Gorgias pricing is structured and which plan fits your team.

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Siena AI Alternatives

10 Best Siena AI Alternatives for Ecommerce Brands

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Siena AI is an add-on, not a full helpdesk. It automates customer conversations but requires a separate platform for ticketing, workflows, and data management.
  • Brands often outgrow Siena due to operational friction. Issues like routing errors, inconsistent AI responses, and per-message pricing can make scaling costly.
  • Each alternative serves a different use case. Some focus on automation (Ada), others on agent assist (Yuma), or enterprise features (Zendesk), so your choice depends on your needs.
  • Choosing the right tool comes down to your priorities. Factors like integration depth, scalability, deployment speed, and AI control should guide your decision.

Siena AI was built as a standalone AI layer, which means it needs to plug into a separate helpdesk. For ecommerce brands that want one platform handling AI, ticketing, and Shopify data together, that gap starts to show quickly.

This guide looks at the top Siena AI alternatives based on ecommerce functionality, AI capabilities, and scalability, so you can find the platform that fits into your store operations.

What is Siena AI?

Siena AI is an AI customer service agent that sits on top of your existing helpdesk. It uses generative AI to automate customer interactions across email, chat, and social media — reading incoming messages, understanding intent, and responding automatically based on your brand's knowledge and policies.

Because Siena is a standalone AI layer rather than a full helpdesk, it requires integration with a separate support platform to manage tickets, agent workflows, and customer data. It's designed primarily for brands that want to add AI automation to their current support stack without replacing it entirely.

Why do people look for Siena AI alternatives?

Siena AI works well as an AI agent, but ecommerce brands often outgrow it or run into limitations that push them to look elsewhere:

  • It's not a helpdesk. Siena requires a separate support platform to manage tickets and agent workflows, which means more tools, more contracts, and more context-switching for your team.
  • Routing issues. Users report that Siena sometimes continues responding after escalating to a human agent, or closes tickets before a customer's issue is actually resolved.
  • Unpredictable pricing. Siena charges per message sent, not per resolution, meaning multi-reply conversations can drive up costs quickly without guaranteeing an outcome.
  • Inconsistent AI accuracy. Some users note inaccurate or off-brand responses, with limited quality controls to prevent the AI from sending a reply it shouldn't.
  • Shallow ecommerce integrations. Siena's integration score on G2 sits at 7.9, lower than many competitors. This matters for brands that need deep Shopify connectivity to handle orders, returns, and customer data in one place.
  • Limited scalability. As ticket volume grows, managing two separate platforms (Siena and a helpdesk) becomes challenging.

Quick comparison of Siena AI alternatives

Platform

Best For

Starting Price

Key Differentiator

Deployment Time

Gorgias

Shopify brands focused on support and revenue

$10/month

AI that resolves tickets and drives sales

Hours to days

Yuma AI

Teams wanting AI within existing helpdesk

Custom

Response suggestions for human agents

Days

Zendesk

Large enterprises needing feature-rich helpdesk

$55/agent/month

Comprehensive enterprise features

Weeks to months

Fin by Intercom

Businesses focused on proactive chat

$39/seat/month

Proactive engagement and chatbot builders

Weeks

Tidio

Small businesses needing simple live chat

Free plan available

Easy-to-use interface with Lyro AI

Hours

Freshdesk

Mid-market companies wanting business suite

$15/agent/month

Part of broader Freshworks ecosystem

Weeks

Ada

AI-first companies building complex automation

Custom

Powerful no-code platform for custom agents

Months

Richpanel

Brands prioritizing self-service portals

$29/month

Focus on customer account portals

Days to weeks

eDesk

Marketplace sellers on Amazon, eBay, Walmart

$79/month

Deep marketplace integrations

Days

Ringly.io

Companies needing AI voice and chat support

Custom

Voice automation and call center features

Weeks

Best Siena AI alternatives for ecommerce brands

Gorgias

Gorgias is a conversational commerce platform built specifically for ecommerce brands. This means it's designed to handle both customer support and sales conversations in one place.

Gorgias's AI Agent can automate up to 60% of common inquiries while also helping convert browsers into buyers. Unlike generic AI tools, Gorgias integrates directly with Shopify, allowing it to perform real actions like tracking orders, processing returns, and recommending products based on what customers are viewing.

What sets Gorgias apart is its dual focus on support efficiency and revenue generation. The AI doesn't just answer questions — it actively helps increase sales through personalized recommendations and strategic upselling.

Main features:

  • AI Agent that automates support tickets and drives sales
  • Native Shopify integration with real-time order management
  • Unified helpdesk for email, chat, SMS, voice, and social media
  • Shopping Assistant that provides product recommendations
  • Self-service order tracking and returns

Ideal for:

  • Shopify and Shopify Plus brands of all sizes
  • Teams wanting to turn support into a revenue center
  • Brands needing fast AI deployment with minimal setup
  • Companies seeking ecommerce-specific automation

Pricing:

  • Starter plans from $10/month per agent
  • AI Agent available as add-on
  • Custom enterprise pricing available

Read more: What's the difference between Gorgias and Siena?

Yuma AI

Yuma AI works within your existing helpdesk to help human agents respond faster. This means you don't need to replace your current system — Yuma simply makes your team more efficient.

The platform analyzes incoming tickets and suggests draft responses that agents can edit and send. It learns from your past conversations and knowledge base to generate responses that match your brand voice.

While Yuma doesn't offer 24/7 autonomous support like other alternatives, it excels at augmenting human agents. This makes it a good choice for teams that want to improve efficiency without fully automating their support.

Pricing:

  • Custom pricing only
  • Usage-based model

Zendesk

Zendesk is one of the most established names in customer service software. It offers a comprehensive suite of tools for large enterprises that need extensive customization and reporting capabilities.

The platform includes advanced ticketing, omnichannel support, and AI features through its bot and agent-assist tools. However, Zendesk requires significant setup and configuration to work effectively for ecommerce brands.

For ecommerce-specific features, Zendesk often relies on third-party apps from its marketplace. This can make it powerful but complex, requiring technically adept team members to manage the system.

Pricing:

  • Suite Team plans start at $55 per agent per month
  • AI add-ons start at an additional $50 per agent per month

Fin by Intercom

Intercom is a customer communications platform known for proactive chat features and sophisticated chatbot building. Fin is its AI agent that provides instant answers and resolves issues directly in chat widgets.

The platform excels at engaging website visitors, qualifying leads, and booking meetings. While it can handle support inquiries, its core strength lies in pre-sale conversations and marketing interactions rather than post-purchase ecommerce workflows.

Fin can be trained on your knowledge base and external content to deliver conversational support that feels natural and helpful.

Pricing:

  • Essential plans start at $39 per seat per month
  • Fin AI priced based on usage

Tidio

Tidio combines live chat, chatbots, and email marketing in one affordable platform. It's particularly popular with small businesses because of its free plan and user-friendly interface.

The platform's AI chatbot, Lyro, can answer customer questions based on your FAQ content. While easy to set up and use, Tidio lacks the deep ecommerce integrations and advanced automation of more specialized platforms.

Tidio works well as a starting point for brands new to live chat and AI, but may not scale effectively for businesses with high ticket volumes or complex support needs.

Pricing:

  • Free plan available
  • Paid plans start at $29 per month

Freshdesk

Freshdesk is a cloud-based helpdesk that's part of the larger Freshworks suite of business software. It offers robust ticketing, self-service options, and AI features through Freddy AI.

Freddy can help with ticket routing, suggest responses to agents, and power customer-facing chatbots. Like Zendesk, Freshdesk is a general-purpose helpdesk that requires customization for ecommerce workflows.

The platform works well for mid-market companies that may also be interested in other Freshworks products like CRM or IT service management tools.

Pricing:

  • Growth plans start at $15 per agent per month
  • Freddy AI add-on pricing varies

Ada

Ada is an AI-first platform focused entirely on automated customer service. It provides a powerful, no-code builder for creating sophisticated AI agents that handle complex, multi-step conversations.

The platform is designed to resolve the majority of inquiries without human involvement. Because of its AI-first approach, Ada requires significant investment in time and resources to build and maintain the AI agent.

Ada works best for companies committed to an automation-heavy support strategy, but may be overly complex for ecommerce brands needing a solution that works immediately.

Pricing:

  • Custom pricing only
  • Includes platform fee plus usage costs

Richpanel

Richpanel focuses heavily on self-service through customer portals where shoppers can track orders, initiate returns, manage subscriptions, and find answers without contacting support.

The platform includes a helpdesk and AI features to automate responses. Its emphasis on self-service makes it strong for brands looking to reduce overall ticket volume.

Richpanel works well for Shopify brands that want to offer comprehensive self-service account experiences while maintaining a streamlined support operation.

Pricing:

  • Starter plans begin at $29 per month
  • Custom pricing for AI features

eDesk

eDesk is built specifically for online sellers operating across multiple marketplaces. It consolidates customer messages from Amazon, eBay, Walmart, and Shopify into a single inbox.

The platform's key strength is its deep integration with these marketplaces, allowing agents to see order details and customer information directly within tickets. While it offers automation features, its AI capabilities are less advanced than other platforms.

eDesk is the go-to solution for multichannel marketplace sellers who need unified message management across platforms.

Pricing:

  • Plans start from $79 per month
  • Per-ticket pricing model

Ringly.io

Ringly.io is a conversational AI platform with strong voice automation capabilities. It helps companies manage inbound and outbound calls using AI agents that can answer questions, book appointments, and route calls.

For ecommerce brands receiving high phone call volumes, Ringly.io can reduce contact center load. Its voice capabilities differentiate it from primarily text-based AI alternatives. Some brands also explore similar tools like Hurumo AI for voice automation.

The platform also supports chat and other digital channels beyond voice.

Pricing:

  • Custom pricing
  • Usage-based model

How to choose the right Siena AI alternative for ecommerce

Start with your biggest operational pain points. Different platforms excel at solving different problems, and tracking the right support metrics helps identify your biggest operational pain points.

For high ticket volume: Focus on platforms with strong automation capabilities and proven deflection rates. Look for tools that can handle common questions without human intervention.

For complex products: Prioritize AI training capabilities and knowledge base integration. You need AI that understands nuance and provides detailed, accurate answers.

For multichannel selling: Look for marketplace integrations and unified inbox features if you sell on Amazon, eBay, or other platforms beyond your website.

For Shopify brands: Choose platforms with native Shopify integration and order management features that let you handle transactions directly within the helpdesk.

Key evaluation criteria include:

  • Integration depth: Native vs API connections to your tech stack
  • AI control: Ability to customize responses and set guardrails
  • Deployment speed: Time from signup to first automated response
  • Scalability: How pricing and performance change as you grow
  • Support quality: Vendor's own customer support and onboarding resources

Why settle for AI alone when you can have a full helpdesk too?

Siena automates conversations, but it still needs a separate helpdesk to manage tickets, agents, and customer data. Gorgias gives you ecommerce-native AI and a full helpdesk in one platform.

If you're locked into a current contract, Gorgias's Buyout Program covers your remaining term so you can switch without waiting. Or, book a demo to see it in action.

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Help Scout Alternatives

9 Help Scout Alternatives: Best Options, Comparisons, and How to Choose

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Why teams switch from Help Scout: It’s easy to use, but reporting is basic, omnichannel support is limited, and structured workflows like SLAs and escalations are missing.
  • Who Help Scout is best for: Small to mid-size, email-first teams that want a simple shared inbox, quick setup, and lightweight collaboration without a lot of complexity.
  • Top Help Scout alternatives by use case: Gorgias (ecommerce), Freshdesk (budget-conscious omnichannel teams), Intercom (product-led SaaS), and Zendesk (enterprise support ops).
  • Key gaps to watch: Help Scout can become limiting if you need deeper analytics, more channel coverage, stronger automation, or a more flexible knowledge base.
  • What to consider before switching: Compare pricing predictability, channel needs, SLA requirements, reporting depth, and how well the platform connects to your ecommerce or CRM stack.

Whether you're outgrowing Help Scout or shopping for your first helpdesk, you're probably looking for the same thing: a tool that brings all your customer conversations into one place without the chaos.

Help Scout is a solid starting point, but contact-based pricing gets unpredictable as you grow, reporting is limited, and omnichannel support is an afterthought.

This guide covers nine alternatives to help you find the right fit.

What you need to know about Help Scout

Help Scout is a shared inbox platform built for small to mid-size teams that want simple, email-first customer support. It comes with a built-in knowledge base (Docs) and a chat widget (Beacon), and it's known for being easy to set up and easy to use.

Where it works well:

  • Clean, intuitive interface that's easy to learn
  • Docs module for building a knowledge base
  • Beacon widget for embedded chat and Self-service
  • Collision detection to prevent duplicate responses

Where it falls short:

  • Basic reporting with limited customization
  • No native SLA enforcement or escalation rules
  • Single knowledge base template
  • Minimal support for phone, SMS, or social channels
  • Some users report connection reliability issues

Pricing:

Help Scout charges per user, not per contact. Standard starts at $20/user/month, Plus at $40/user/month. Both plans include unlimited mailboxes, but costs can get unpredictable as your customer base grows.

Why consider Help Scout alternatives

Help Scout is easy to love at first, but here's where it tends to fall short as you grow:

  • Reporting is too basic. No custom dashboards, no real-time analytics, and limited ability to track agent performance or spot customer trends. As one G2 reviewer put it, the reporting "doesn't allow for much drilldown or custom views."
  • One knowledge base template. Limited customization and no collaborative editing make it hard to scale your self-service content. One reviewer noted it "limits how we can structure our help content."
  • Reliability hiccups. Some users report connection drops and image handling issues during busy periods, making it "frustrating to use during busy periods" according to one G2 reviewer.
  • Pricing gets unpredictable. Contact-based pricing means seasonal spikes or marketing campaigns can inflate your bill without warning.
  • No SLAs or escalation rules. If your team needs structured workflows as you grow, Help Scout doesn't have the tools to support them.

Best Help Scout alternatives at a glance

Platform

Best For

Starting Price

Free Trial

Key Features

Gorgias

Ecommerce brands

$50/350 tickets/month

seven days

Shopify integration, AI automation, multichannel

Zendesk

Enterprise teams

$55/agent/month

14 days

AI Copilot, skills-based routing, 1,000+ integrations

Freshdesk

Budget-conscious teams

Free (up to 10 agents)

21 days

Freddy AI, built-in telephony, omnichannel

Intercom

Product-led SaaS

$39/user/month

14 days

Fin AI chatbot, in-app messaging, product tours

Front

Email-style collaboration

$25/seat/month

seven days

Shared drafts, AI Topics, calendar integration

Zoho Desk

Zoho ecosystem users

$14/agent/month

15 days

Zia AI, low-code customization, CRM integration

Kayako

On-premise deployment

$79/month + $1/AI ticket

14 days

SingleView timeline, self-learning KB, guest access

LiveAgent

Global multilingual support

$15/agent/month

14 days

40+ languages, call center, social routing

Hiver

Gmail users

$19/user/month

7 days

Works in Gmail, collision detection

9 Best Help Scout alternatives (deep dive)

Gorgias

Gorgias

Gorgias is built specifically for ecommerce brands that need to manage customer conversations across multiple channels while accessing order data in real time. The platform integrates deeply with Shopify, Magento, and BigCommerce. This lets support teams view order details, process refunds, and update shipping addresses without leaving the help desk.

Key features:

  • Multichannel support for email, Live Chat, phone, SMS, and social media (Facebook Messenger, Instagram)
  • Deep ecommerce integrations with Shopify, Magento, BigCommerce, and apps like Yotpo and Smile.io
  • Powerful automation with Macros, Rules, and customer sentiment tagging
  • Mobile apps on Google Play and Apple App Store for on-the-go support
  • Ticket management with search, assignment, tags, and resolution tracking

Pricing: Starts at $50 per 350 tickets per month, billed annually.

Free trial: 7 days. No credit card required.

Best for: Ecommerce businesses that need ecommerce-focused integrations and ticket-based pricing aligned with store size.

What makes Gorgias better than Help Scout:

  • Ticket-based pricing that scales with volume, not contacts
  • Ecommerce-focused integrations designed for online stores
  • Pricing plans consistent with store size and support needs
  • Feature-rich ticket management with tags and automation

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Zendesk

Zendesk workspace

Zendesk is an enterprise-grade platform with deep automation capabilities and AI-powered support tools. It's designed for large teams that need advanced routing, comprehensive reporting, and integration with thousands of third-party apps.

Key features:

  • Omnichannel ticketing across email, chat, voice, and social media
  • AI Copilot for automated triage and response suggestions
  • Skills-based routing and advanced SLA management
  • Access to over 1,000 integrations through the Zendesk marketplace
  • Custom reporting with flexible data visualizations

Pricing: Suite Team plan starts at $55 per agent per month.

Free trial: 14 days. No credit card required.

Best for: Large teams, regulated industries, and companies with complex workflows.

Zendesk vs Help Scout: HeliosX, a Zendesk customer, noted that "automation was much easier to set up in Zendesk compared to our previous platform. We could create rules and triggers without needing developer help, which saved us weeks of onboarding time."

Freshdesk

Freshdesk workspace

Freshdesk offers a budget-friendly alternative with omnichannel support and AI-powered automation. The platform includes a free plan for up to 10 agents, making it accessible for growing teams that aren't ready for enterprise pricing.

Key features:

  • Free plan available for up to 10 agents
  • Freddy AI for ticket triage, chatbots, and sentiment analysis
  • Built-in telephony and WhatsApp support
  • Automation rules and SLA management with escalation workflows
  • Connect with Freshworks products like Freshsales and Freshchat

Pricing: Free plan available. Growth plan starts at $15 per agent per month.

Free trial: 21-day free trial for paid plans. No credit card required.

Best for: Growing teams needing multichannel support without high costs.

Freshdesk vs Help Scout: Freshdesk's multichannel approach and free tier make it easier for budget-conscious teams to test omnichannel support before committing to paid plans.

Intercom

Intercom is designed for product-led SaaS companies that need to support customers within the app. Its Fin AI chatbot handles complex queries, and in-app messaging lets you guide users through features without email back-and-forth.

Intercom workspace

Key features:

  • Fin AI chatbot for automated responses to complex questions
  • In-app messaging and product tours for onboarding
  • Unified inbox with full customer context
  • Custom bots for lead qualification and routing
  • Outbound messaging for proactive support

Pricing: Starter plan at $39 per user per month.

Free trial: 14 days. Credit card required.

Best for: SaaS companies focused on in-app support and customer onboarding.

Intercom vs Help Scout: Intercom's strength lies in product-led growth strategies, where Help Scout focuses on traditional email support. If your product requires in-app guidance, Intercom offers tools Help Scout doesn't provide.

Front

Front brings an email-style interface to team collaboration, making it feel familiar for teams transitioning from Gmail or Outlook. It combines a shared inbox with internal comments, shared drafts, and real-time collaboration features.

Front works

Key features:

  • Shared inbox with internal comments and collaborative drafts
  • AI Topics for automatic categorization and routing
  • Calendar and scheduling integration
  • Familiar email-style interface
  • Collision detection to prevent duplicate work

Pricing: Starter plan at $25 per seat per month (up to 10 seats).

Free trial: 7 days

Best for: Teams wanting an email-like interface with real-time collaboration.

Front vs Help Scout: Both platforms prioritize email support, but Front's collaborative features - like shared drafts and internal comments - make it easier for teams to work together on complex replies.

Zoho Desk

Zoho Desk workspace

Zoho Desk offers budget-friendly pricing and low-code customization tools for teams that need to tailor workflows without hiring developers. It integrates natively with the Zoho ecosystem, including Zoho CRM, for unified customer data.

Key features:

  • Low-code customization tools for workflows and ticket forms
  • Zia AI for sentiment analysis and automated responses
  • Multichannel support across email, chat, phone, and social media
  • Native Zoho CRM integration
  • GDPR compliance features

Pricing: Standard plan at $14 per agent per month. Free plan available for up to 3 agents.

Free trial: 15 days. No credit card required.

Best for: Teams using the Zoho ecosystem or needing custom workflows.

Kayako

Kayako uses a timeline-based interface called SingleView that shows a customer's full interaction history in one place. It's designed for IT and regulated industries that need on-premise deployment options and granular control over data.

Key features:

  • SingleView timeline showing full customer interaction history
  • Self-learning knowledge base that suggests articles based on ticket content
  • On-premise deployment option for data security
  • Guest collaborator access for external partners
  • Facebook and Twitter integration

Pricing: Kayako One at $79 per month flat fee plus $1 per AI-resolved ticket.

Free trial: 14 days. No credit card required.

Best for: IT and regulated industries needing on-premise control.

LiveAgent

LiveAgent is built for global teams that need multilingual support. The platform offers 40+ language translations with automatic detection, plus a built-in call center and social media routing.

Key features:

  • 40+ language support with automatic detection
  • Built-in call center with recording and transcription
  • AI chatbot and answer assistant
  • Agent collision detection
  • Unlimited mailboxes, automation rules, and chat buttons

Pricing: Small plan starts at $15 per agent per month. Free plan available.

Free trial: 14 days. No credit card required.

Best for: Global ecommerce, hospitality, and travel brands needing multilingual support.

Hiver

Hiver is a Gmail-native shared inbox that requires no separate login or interface. Teams already using Google Workspace can add shared labels, collision detection, and SLA reminders directly within Gmail.

Hiver workspace

Key features:

  • Gmail-native interface with no separate platform
  • Live Chat and WhatsApp channels
  • Collision detection and shared drafts
  • SLA reminders and automation rules
  • Analytics dashboard within Gmail

Pricing: Lite plan at $19 per user per month.

Free trial: 7 days

Best for: Teams already using Google Workspace who want shared inbox features without leaving Gmail.

How to choose the best Help Scout alternative

The best way to find the right fit is to start by looking at where Help Scout may not meet  your needs. Ask yourself:

  • Is your pricing predictable? If seasonal spikes or a growing customer base are inflating your bill, look for seat-based or flat pricing instead of contact-based models. It's worth calculating the true cost of your customer support before committing to a new platform.
  • Are you email-only or do you need more? If customers are reaching you on chat, social, or SMS and you're managing it outside Help Scout, you need omnichannel coverage.
  • Do you need SLAs and structured routing? If tickets are falling through the cracks or the wrong agents are handling the wrong issues, look for platforms with native SLA enforcement and skills-based routing.
  • Can you actually measure your team's performance? If you're making decisions without data, you need custom dashboards and real-time analytics, not just basic canned reports.
  • Does it connect with your ecommerce stack? If your agents are switching tabs to check orders, look for platforms that embed Shopify or Magento data directly in the ticket view.
  • What do you actually need from AI? Chatbots, auto-tagging, and sentiment analysis can cut ticket volume, but only if the pricing model makes sense for your usage. Read more on building an AI customer support strategy.
  • How much migration support do you need? Most platforms offer import tools for tickets, articles, and customer data. One HappyFox customer migrated over 50,000 tickets and 200 knowledge base articles in under two weeks with the help of their migration team. If you're ready to move, here's how to migrate your helpdesk.

Which Help Scout alternative is right for you?

You've seen the alternatives. Now your decision boils down to your team's size, channels, and budget. Here's where to go from here:

  • Still early-stage and email-focused? Help Scout might still work, but keep an eye on your contact count and reporting needs as you grow.
  • Scaling fast and need omnichannel? Freshdesk or Zendesk gives you the channel coverage and SLA tools to keep up.
  • Running an ecommerce brand? You need a platform built for it, like Gorgias. That means order data in the ticket view, no tab switching, and AI that handles the repetitive stuff.

Before committing, test a few platforms with a real support workflow and factor in migration costs and AI fees beyond the base price.

Ready to see what a helpdesk built for ecommerce looks like? Book a demo to see how Gorgias scales with your brand.

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CX Helpdesk

The 4 Best CX Helpdesk Platforms for Ecommerce Brands

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • A CX helpdesk centralizes customer conversations across email, chat, SMS, and social into one unified inbox
  • Modern CX helpdesks combine support ticket management with revenue-driving features like personalized recommendations and automated order management
  • The best platforms for ecommerce integrate deeply with Shopify and other commerce tools to enable self-service order tracking, returns, and account management
  • Leading solutions like Gorgias, Zendesk, and Freshdesk now include AI agents that can resolve up to 60% of inquiries automatically
  • Choose based on your ecommerce stack, team size, and whether you need specialized features for conversion optimization versus general support

A CX helpdesk is the command center where ecommerce brands manage every customer conversation, from pre-purchase questions to post-purchase support.

Unlike traditional IT helpdesks that focus on internal tickets, CX helpdesks are built for customer-facing teams who need to resolve issues fast while driving sales. Modern platforms combine ticket management with AI automation, letting you handle support at scale without sacrificing quality.

For ecommerce brands specifically, the right CX helpdesk turns support from a cost center into a revenue driver by enabling agents to recommend products, process returns, and recover abandoned carts — all from one screen.

What is a CX helpdesk?

A customer experience (CX) helpdesk is a software platform that unifies all customer conversations from every channel into a single, shared inbox. This means emails, live chat messages, social media comments, and SMS texts all land in one place, giving your support team a complete view of every customer interaction.

CX stands for customer experience, which is the entirety of a customer's interaction with your brand. This includes everything from browsing your website to receiving their order and getting help when they need it. A CX helpdesk focuses specifically on managing these conversations to create positive experiences that keep customers coming back.

Unlike a generic helpdesk built for IT or B2B companies, a CX helpdesk for ecommerce is designed around the shopper. It integrates directly with your store backend, like Shopify, to pull in crucial data like order history, shipping status, and past purchases. This allows agents to resolve issues without switching tabs, turning a simple question into a fast, personalized experience.

The core of any CX helpdesk is its ticketing system. A ticketing system is a tool that organizes each customer inquiry into a trackable ticket with a unique ID, status, and history. From there, automation and AI can tag, prioritize, and even resolve common questions automatically.

Key components of a CX helpdesk include:

  • Unified inbox: All messages from every channel appear in one place
  • Customer timeline: Complete history of orders, conversations, and interactions
  • Automation rules: Smart workflows that tag, route, and respond to tickets
  • Integrations: Direct connections to your ecommerce platform and other tools
  • Reporting: Analytics on response times, customer satisfaction, and team performance

The best CX helpdesks for ecommerce brands

Choosing the right platform depends on your store's scale, your team's needs, and your primary goals. We evaluated the top options based on their ecommerce integrations, automation capabilities, and ability to drive revenue, not just resolve tickets.

Gorgias

Gorgias is a conversational commerce platform built specifically for ecommerce brands. It combines a powerful helpdesk with an AI Agent designed to both resolve support tickets and convert shoppers into customers. Its deep, two-way integration with Shopify is a core differentiator, allowing teams to manage orders, issue refunds, and create discount codes directly within the helpdesk.

The platform's AI Agent can automate up to 60% of common inquiries like "Where is my order?" process returns, and answer product questions with brand-aligned responses. Beyond support, Gorgias includes revenue-driving tools that proactively engage shoppers with personalized recommendations and targeted chat campaigns.

What makes Gorgias different is its focus on conversational commerce. This means using real-time conversations as your storefront, where support and sales happen in the same place. Your team can recommend products, process orders, and resolve issues without customers ever leaving the chat.

Main features:

  • Unified inbox for all channels (email, chat, SMS, social, voice)
  • AI Agent that resolves up to 60% of tickets
  • Deep Shopify integration for order management
  • Convert features for proactive sales
  • Automated workflows and Macros
  • Help Center builder
  • Performance analytics and reporting

Ideal for: Shopify brands doing $1M+ USD in revenue, teams managing 500+ tickets monthly, brands prioritizing sales alongside support

Pricing: Starter: $10 USD/month (50 tickets), Basic: $60 USD/month (300 tickets), Pro: $360 USD/month (2,000 tickets), Advanced: $900 USD/month (5,000 tickets), Enterprise: Custom pricing

Read more: Which Gorgias plan should you choose? (Pricing breakdown)

Zendesk

Zendesk is one of the largest players in the customer service software market, offering a comprehensive suite of tools for businesses of all sizes. Its platform is highly customizable and scalable, making it a popular choice for large enterprises with complex support needs.

While not built exclusively for ecommerce, Zendesk offers robust integrations with Shopify and other platforms. Its strengths lie in its powerful ticketing system, extensive reporting capabilities, and mature AI features that can suggest answers and automate workflows.

However, its general-purpose nature means that achieving the deep ecommerce functionality native to platforms like Gorgias often requires more setup, customization, and reliance on third-party apps. You'll need technical expertise to get the most out of Zendesk's advanced features.

Ideal for: Large enterprises with dedicated IT teams, businesses serving multiple industries, companies needing extensive customization

Pricing: Suite Team: $55 USD/agent/month, Suite Growth: $89 USD/agent/month, Suite Professional: $115 USD/agent/month, Suite Enterprise: Custom pricing

Read more: Zendesk pricing in 2026: Plans, add-ons, and if it’s worth it

Freshdesk

Freshdesk is known for its user-friendly interface and affordable pricing, making it an attractive option for small and medium-sized businesses. It provides a solid set of helpdesk features, including omnichannel ticketing, automation, and a self-service knowledge base.

Its "Freddy AI" offers chatbot capabilities and agent assistance. Like Zendesk, Freshdesk serves a wide range of industries, so its ecommerce features are not as deeply embedded as in specialized platforms. While it integrates with Shopify, the level of direct order management within the helpdesk is more limited.

Freshdesk works well for brands looking for a straightforward and cost-effective helpdesk solution that covers the basics without overwhelming complexity.

Ideal for: Small to medium businesses, teams new to helpdesk software, brands with straightforward support needs

Pricing: Free: $0 USD (up to 10 agents), Growth: $15 USD/agent/month, Pro: $49 USD/agent/month, Enterprise: $79 USD/agent/month

Read more: Freshdesk pricing guide: What you actually pay in 2026

Intercom

Intercom positions itself as a "customer communications platform" with a strong focus on proactive engagement through its live chat and chatbot products. It excels at engaging website visitors, qualifying leads, and onboarding new users, making it popular with SaaS companies and brands with a heavy focus on marketing-led conversations.

For ecommerce, Intercom's strength is in its pre-purchase engagement capabilities. Its chatbots can guide shoppers, recommend products, and capture leads effectively. However, its post-purchase support functionality and deep backend ecommerce integrations are less developed compared to platforms built specifically for support-heavy retail operations.

Ideal for: SaaS companies, businesses focused on lead generation, brands prioritizing pre-purchase engagement

Pricing: Essential: $39 USD/seat/month, Advanced: $99 USD/seat/month, Expert: $139 USD/seat/month

How a CX helpdesk works for ecommerce teams

A modern CX helpdesk streamlines the entire support process into a clear, repeatable workflow. It starts the moment a customer reaches out and ends with a fast, satisfying resolution that strengthens their relationship with your brand.

Here's how the process typically works. A customer sends a message via email, live chat, or a social media DM. The message automatically creates a ticket in a single, shared inbox, so nothing gets lost.

Smart routing happens next. Automation Rules instantly analyze the ticket based on the channel, keywords, or customer history. The ticket gets tagged (like "Return Request") and assigned to the correct agent or team.

When the agent opens the ticket, they immediately see the shopper's complete history in a side panel. This includes past orders from Shopify, previous conversations, and data from other integrated apps. Full context without switching tabs.

For direct actions, if the customer wants to make a return, the agent can process it directly within the helpdesk using an integration. No need to log into Shopify or a separate returns app.

Automation rules handle simple questions automatically. For a question like "Where is my order?" an automated workflow can pull the tracking information from Shopify and send an immediate, personalized reply, resolving the ticket without any agent involvement.

The key workflow components include:

  • Message capture: Every customer message becomes a trackable ticket
  • Smart tagging: AI identifies the topic and urgency automatically
  • Context loading: Customer history and order data appear instantly
  • Action execution: Agents can process refunds, edits, and returns in one click
  • Resolution tracking: Every interaction is logged for future reference

Why a CX helpdesk matters for customer experience and revenue

Investing in a CX helpdesk isn't just about managing support tickets more efficiently. It's a strategic decision that directly impacts customer loyalty, operational costs, and your bottom line. When support is fast, personal, and helpful, it becomes a key driver of growth.

Retention and lifetime value: Fast, effective support is a major factor in customer retention. Solving a problem quickly and personally makes customers feel valued, encouraging them to make repeat purchases and increasing their lifetime value.

Conversion optimization: A CX helpdesk with proactive chat can engage hesitant shoppers on product or checkout pages. Answering a quick question about sizing or shipping can be the final nudge a customer needs to complete their purchase.

Operational efficiency: By automating repetitive questions and centralizing tools, a helpdesk dramatically reduces the time agents spend on manual tasks. This lowers your cost per ticket and allows a lean team to handle a high volume of conversations.

Revenue generation: Top CX helpdesks empower agents to be salespeople. With full customer context, they can recommend relevant products, upsell accessories, and even create draft orders directly in the chat, turning a support interaction into a sale.

The business impact extends beyond individual transactions. When customers know they can get help quickly, they're more likely to try new products, make larger orders, and recommend your brand to others. Support becomes a competitive advantage rather than just a cost center.

Modern ecommerce customers expect instant responses and personalized service. A CX helpdesk helps you meet these expectations consistently, even as your business grows. The alternative — missed messages, long response times, and frustrated customers — directly hurts your revenue and reputation.

Start delivering better customer experiences today

A CX helpdesk is no longer just a tool for managing complaints. For modern ecommerce brands, it's the engine for building customer relationships, driving revenue, and scaling operations efficiently. By centralizing conversations and automating workflows, you can deliver the fast, personal experiences that today's shoppers expect.

The best time to implement a CX helpdesk is before you need it. Waiting until you're overwhelmed with support requests means you're already losing customers and revenue. Start with a platform that can grow with your business and adapt to your specific needs.

Ready to see how a platform built for ecommerce can turn your support center into a profit center? Book a demo to learn how you can transform every customer conversation into a growth opportunity.

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Richpanel Pricing

Richpanel Pricing Explained: What Brands Really Spend

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Richpanel charges per agent seat starting at $29 USD/month plus separate fees for its self-service portal based on order volume
  • Portal pricing ranges from $9-$99/month for up to 5,000 orders, scaling with volume
  • Add-ons like Sidekick AI ($10/seat), social media moderator ($49/month), and WhatsApp integration add to base costs
  • Most brands spend $200-$500/month for three to five agents with a portal and basic add-ons
  • Gorgias offers transparent ticket-based pricing that often costs less for seasonal businesses

Richpanel uses a dual pricing model that combines seat-based help desk costs with order volume-based portal fees. The platform starts at $29 per agent per month, but real costs quickly climb when you add the self-service portal, AI features, and channel integrations. Understanding how each component affects your total spend helps you budget accurately and compare alternatives. This guide breaks down exactly what you'll pay based on your team size, order volume, and feature needs.

What is included in Richpanel pricing

Richpanel's pricing is built on two separate components that you pay for independently. You pay a per-agent fee for the help desk platform and a separate order-based fee for the self-service portal.

This means your total monthly cost isn't just the number of agents multiplied by the plan price. You must also factor in the cost of the customer-facing portal, which is required for self-service features and scales with your store's monthly order volume.

Seat-based pricing is a model where you pay a fixed monthly fee for each user or agent who has access to the software. This means if you have five agents, you pay five times the monthly rate. Order-based pricing ties costs directly to the number of orders your store processes each month.

The base help desk plans include core features, but many functions that modern ecommerce brands consider essential come at an additional cost:

  • Included in base plans: Ticketing system, live chat, email and social media inbox, basic Shopify integration
  • Excluded and cost extra: Self-service portal, AI assistance (Sidekick AI), social media comment moderation, channel integrations like WhatsApp or voice

Richpanel help desk plans and costs

Richpanel offers four main help desk tiers, each priced per agent per month. The plan you choose determines what features your support team can access, with significant jumps in functionality and cost between each level.

Starter plan costs

The Starter plan costs $29 per seat per month. It provides the fundamental tools for managing customer conversations, including a unified ticketing inbox, live chat, and basic automation Rules.

This plan is designed for very small teams or new stores just starting to centralize support. However, it lacks key efficiency features like collision detection, which prevents multiple agents from working on the same ticket simultaneously.

Regular plan costs

At $49 per seat per month, the Regular plan is the most common starting point for growing brands. It adds critical features like collision detection, advanced automation capabilities, custom ticket fields, and team collaboration tools.

This tier provides the necessary foundation for a team to handle a moderate volume of inquiries efficiently. Most brands find this plan meets their needs once they have more than two agents handling support.

Pro plan costs

The Pro plan costs $99 per seat per month and is built for larger teams that require deeper insights and control. It unlocks advanced customer interaction analytics, custom user roles and permissions, and API access for building custom integrations.

Brands typically upgrade to Pro when they need to manage multiple teams, enforce stricter access controls, or integrate support data with other business intelligence tools. The price jump from Regular to Pro is significant, so you'll want to ensure you actually need these advanced features.

Enterprise plan costs

The Enterprise plan uses custom pricing and is tailored for high-volume businesses with complex operational needs. It includes everything in Pro, plus features like single sign-on (SSO), a dedicated account manager, custom integration support, and service level agreement (SLA) guarantees.

This plan usually has a minimum seat requirement and is negotiated directly with Richpanel's sales team. Expect to pay significantly more than the Pro plan, often starting at several thousand dollars per month.

Richpanel self-service portal pricing by order volume

The self-service portal is a separate product with its own pricing structure tied to your monthly order volume. This is an additional cost on top of your help desk seat licenses.

The portal allows your shoppers to track orders, initiate returns, and find answers in a knowledge base without contacting an agent. This means you're essentially paying for two products: the agent-facing help desk and the customer-facing portal.

Base plan up to 5,000 orders

For stores processing up to 5,000 orders per month, the portal costs between $9 and $29 per month, depending on your help desk plan. This tier includes essential self-service features like order tracking, basic returns management, and a knowledge base.

The portal requires a direct sync with your Shopify store to function properly. Without this integration, customers can't access their order information or complete self-service actions.

Pro plan up to 20,000 orders

As your order volume grows, so does the portal cost. The Pro portal plan is for stores with up to 20,000 monthly orders and costs between $49 and $99 per month.

It adds advanced features like deflection analytics to measure self-service success, custom branding for the portal, and multilingual support. The deflection analytics help you understand how many tickets the portal is preventing, which can justify the additional cost.

Enterprise plan custom volume

For brands exceeding 20,000 orders per month, the portal pricing is custom and negotiated as part of an Enterprise package. This tier offers volume-based discounts and advanced capabilities tailored to high-scale operations.

The exact cost depends on your order volume, but expect to pay several hundred dollars per month for portal access at this level.

Richpanel add-ons and extra fees

Beyond the help desk and portal, several add-ons can significantly increase your total monthly spend. Many of these aren't optional extras but necessary components for running a comprehensive support operation.

Sidekick AI at per seat pricing

Sidekick AI, Richpanel's AI assistant, costs an additional $10 per seat per month. It provides agents with suggested responses, sentiment detection, and auto-tagging for tickets.

Because it's priced per seat, this cost multiplies across your entire team. For a team of five agents, this adds $50 to your monthly bill on top of your base plan costs.

Social media moderator AI at monthly fee

The social media moderator is a separate AI tool for managing Instagram and Facebook comments. It costs a flat fee of $49 per month for the entire account, regardless of how many agents you have.

This tool helps filter spam, hide negative comments, and create tickets from relevant social media interactions. Unlike Sidekick AI, this is an account-wide fee rather than a per-seat charge.

Automation success kit at one-time fee

For teams that need help with setup, Richpanel offers an "Automation Success Kit" for a one-time fee of $499. This package includes guided onboarding, workflow templates, and training sessions to help you get the most out of the platform's automation features.

While this is optional, many brands find they need this support to properly configure their workflows and automation Rules.

WhatsApp and phone via third parties

Integrating channels like WhatsApp or voice isn't native to Richpanel and requires using third-party providers. This introduces variable and often unpredictable costs that can significantly impact your monthly spend.

WhatsApp integration relies on the WhatsApp Business API, which has its own fees based on message volume. Voice support requires a separate telephony provider with its own monthly fees and per-minute charges. These integrations can add anywhere from $50 to several hundred dollars to your monthly expenses, depending on usage.

How Richpanel pricing scales with seats, orders, and channels

Your total cost for Richpanel is driven by three main factors that compound: the number of agent seats, your monthly order volume, and the channels you support. A small change in one area can have a significant impact on your overall bill.

Seats per agent drive base costs

The largest and most direct cost driver is the number of agent seats. Each agent you add increases your monthly bill by the price of your chosen help desk plan.

This linear scaling means you need to be mindful of team size, especially if you rely on seasonal or part-time agents who may only need access for a few months a year. Unlike ticket-based pricing models, you pay for seats whether they're actively used or not.

Consider these monthly costs for different team sizes:

  • Three agents on Regular plan: $147/month
  • Five agents on Regular plan: $245/month
  • Ten agents on Pro plan: $990/month

Monthly orders drive portal fees

Your self-service portal fees are tied directly to order volume, which can create cost spikes during peak seasons like Black Friday Cyber Monday (BFCM). A brand that typically processes 4,000 orders a month might suddenly jump to 15,000 orders in November, pushing them into a higher, more expensive portal tier for that month.

This creates unpredictable costs during your busiest sales periods, when you're already dealing with increased support volume and potentially higher staffing costs.

Channels and voice add integration costs

Each additional support channel, especially voice and WhatsApp, adds another layer of cost and complexity. These often require separate subscriptions with third-party providers, making it difficult to forecast your total monthly spend.

Managing multiple vendors for core support functions also increases administrative overhead and can create gaps in your customer experience if integrations break or providers change their pricing.

Richpanel pricing vs Gorgias pricing for Shopify brands

When comparing Richpanel to other platforms, the most significant difference is the pricing model. Richpanel uses a traditional per-seat model, while a Shopify-native ecommerce helpdesk like Gorgias uses a ticket-based model.

A ticket-based pricing model means you pay based on the number of customer conversations you handle, not the number of agents on your team. This offers more flexibility, especially for businesses with fluctuating support volumes or seasonal patterns.

Here's how the models compare:

  • Richpanel approach: Fixed monthly cost per agent plus order-based portal fees
  • Gorgias approach: Variable cost based on actual ticket volume with all features included
  • Seasonal impact: Richpanel costs stay fixed regardless of ticket volume; Gorgias costs scale with actual support needs
  • Team flexibility: Richpanel requires paying for each agent seat; Gorgias allows unlimited agents within ticket limits

For brands with high seasonality, a ticket-based model like Gorgias often provides a lower total cost of ownership. You only pay for the support you actually provide, so your costs naturally scale down during slower months.

In contrast, a seat-based model requires you to pay for agent licenses year-round, even if they're not fully utilized during off-peak periods.

The help desk migration process from Richpanel to Gorgias is streamlined, with dedicated support to ensure a smooth transition of data and workflows. Most migrations take two to four weeks and include transferring your ticket history, macros, and automation Rules.

Alternatives to Richpanel pricing for ecommerce helpdesks

The customer support landscape offers several alternatives, each with a different approach to pricing and features. Understanding these options helps you make an informed decision about which model works best for your business.

Zendesk uses a per-seat model similar to Richpanel but with more complex tiers and add-ons.

Freshdesk also uses a per-seat model with various tiers. It offers a free plan with limited features, but costs can escalate quickly as you add agents and functionality. The free plan is often too restrictive for growing ecommerce brands.

Re:amaze is a more direct competitor in the ecommerce space and uses a per-user model. It bundles many features that Richpanel charges extra for, but can become costly for larger teams due to its per-user pricing structure.

When evaluating alternatives, look beyond the sticker price and consider the total cost of ownership:

  • Implementation time: How long does it take to get up and running
  • Third-party integrations: What additional tools and costs are required
  • Seasonal flexibility: How well does the pricing model align with your business patterns
  • Feature completeness: What's included versus what costs extra

See how Gorgias compares for your brand

Choosing a help desk is a major operational decision that affects your team's efficiency and your customers' experience. The right platform aligns with your budget, scales with your growth, and empowers your team to drive revenue rather than just resolve tickets.

Gorgias offers transparent, ticket-based pricing with no hidden fees for channels or users. Your costs are always tied to business activity, not arbitrary seat counts. Our AI Agent can reduce your support costs while increasing sales through intelligent automation and shopping assistance.

To see exactly what you would spend and how our platform can transform your customer experience, book a demo with one of our specialists.

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Richpanel Features

Richpanel Features: What Ecommerce Brands Actually Use

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • Richpanel combines helpdesk ticketing with self-service tools designed for ecommerce support teams
  • Core features include omnichannel support, Shopify integration, and customer self-service portals
  • Pricing starts at $9 USD per agent monthly for basic helpdesk, with self-service add-ons from $99 USD monthly
  • Best suited for small to mid-size DTC brands seeking affordable support automation
  • Limited advanced AI capabilities compared to specialized ecommerce helpdesks like Gorgias

Richpanel is a helpdesk platform that focuses on reducing ticket volume through customer self-service. The platform targets Shopify merchants who want shoppers to resolve their own issues without contacting support.

While it covers basic helpdesk features like ticketing and live chat, Richpanel's main strength is empowering customers to find answers independently.

This guide examines what Richpanel actually offers, how much it costs, and when it makes sense for your ecommerce brand.

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Core Richpanel features for ecommerce brands

Richpanel builds its platform around seven main features that handle the basics of customer support. Each feature addresses common workflows that ecommerce brands deal with daily.

Ticket and case management

A ticketing system is software that collects customer messages from different channels and organizes them in one place. This means all your emails, chats, and social media messages appear in a single inbox.

Richpanel's ticketing includes collision detection, which prevents two agents from working on the same ticket at once. You can organize tickets using tags and filters to sort by topic, urgency, or customer type. Internal notes let your team collaborate on tickets without customers seeing the conversation.

The system automatically assigns tickets based on rules you create. You can route messages by channel, topic, or agent availability.

Communication channels

Omnichannel support means connecting with customers across multiple platforms from one dashboard. Richpanel handles the standard channels you'd expect:

  • Email: Standard email ticketing with threading
  • Live chat: Customizable chat widget for your website
  • Social media: Direct messages from Facebook and Instagram
  • SMS: Text message support (may require higher-tier plans)

The chat widget can match your website's design and colors. Social media integrations work but may be limited compared to specialized platforms.

Self-service tools

Self-service is any support that doesn't require talking to an agent. Richpanel's self-service centers on a customer portal where shoppers can track orders and find answers.

The portal lets customers look up order status using just their order number and email — no account required. They can see tracking links, delivery dates, and what they ordered. The Help Center lets you create searchable articles that answer common questions. These articles can appear in your chat widget to deflect tickets before they reach your team.

Automation and AI features

Richpanel uses rules-based automation to handle repetitive tasks. You create "if this, then that" rules to automatically route tickets or send responses. The platform also uses basic artificial intelligence (AI) to detect what customers are asking about and categorize their messages.

Macros are pre-written response templates that agents can use to answer common questions faster. The AI suggests responses based on ticket content, but it can't take actions like processing refunds without human approval.

Analytics and reporting

The platform tracks standard support metrics like first response time (FRT), resolution time, and customer satisfaction (CSAT) scores. Pre-built dashboards show these metrics with some customization options.

You can export data for analysis in other tools. The reporting focuses on operational metrics rather than advanced business intelligence.

Ecommerce integrations

Richpanel integrates directly with Shopify, letting agents see customer order history and details without switching platforms. It also supports other ecommerce platforms like BigCommerce and WooCommerce.

The platform connects with third-party apps for shipping, returns, and loyalty programs. However, the depth and availability of these integrations varies.

Internal collaboration

Teams can work together using internal notes and ticket assignments. Agents can @mention specific team members to get help on tickets. Supervisors have tools to review conversations for quality control and training.

Richpanel automation and AI for support at scale

Richpanel's automation focuses on helping agents work faster rather than replacing them entirely. The features assist with repetitive tasks and provide helpful information for quicker resolutions.

AI text generation and summaries

The platform includes AI-powered response suggestions that analyze ticket content and propose relevant replies. This agent assist feature helps teams respond faster and more consistently.

The AI can also generate summaries of long conversation threads, giving agents quick context without reading every message. Grammar and tone adjustment tools help maintain consistent communication.

Agentic AI for ecommerce tasks

Agentic AI refers to artificial intelligence that can take actions on its own. Richpanel's AI has limited agentic capabilities — it can guide customers through processes but generally can't execute tasks like order modifications or refund processing without human approval.

This contrasts with more advanced AI agents that can perform actions autonomously based on customer requests.

Support automation and routing

The core of Richpanel's automation lies in rule-based workflows. You create rules that automatically assign tickets based on channel, topic, or customer type. These rules can also trigger auto-responses for common scenarios.

Escalation paths ensure complex issues reach the right agents. However, the system may struggle with advanced routing logic compared to more sophisticated platforms.

Richpanel pricing for helpdesk and self-service

Richpanel uses a two-part pricing model that separates helpdesk access from self-service features. You need to calculate costs based on both agent seats and customer volume.

Helpdesk plans

Agent access is priced per seat per month. Plans are tiered with more features available at higher price points:

Starter

$9/agent

Basic ticketing, email, chat

Small teams starting out

Growth

$19/agent

More integrations, automation

Growing brands with multiple channels

Pro

$39/agent

Advanced reporting, more rules

Larger teams needing control

Enterprise

Custom

Dedicated features and support

High-volume brands

Additional costs may apply for channels like SMS or voice support. Annual contracts typically offer discounts.

Self-service plans

Self-service features use a usage-based model priced on monthly active customers. This means costs increase as more shoppers use your portal and Help Center. Self-service pricing is an add-on to your helpdesk agent costs, starting around $99 monthly for basic usage tiers.

Richpanel analytics and reporting for performance

Richpanel provides standard analytics focused on operational metrics rather than advanced customer interaction analytics. The platform gives managers a clear view of daily performance without deep business intelligence.

Dashboards and KPIs

Pre-built dashboards display key performance indicators (KPIs) like response times, resolution rates, and CSAT scores. You can customize these dashboards to focus on your most important metrics.

Data appears in near real-time with options to view historical trends. The interface is straightforward but may lack the depth that data-driven teams need.

Reporting and trends

Standard report types cover ticket volume, agent productivity, and channel performance. You can export data for analysis in external tools like Excel or Google Sheets.

The platform includes trend identification features to spot patterns like sudden spikes in product-specific questions or shipping delays.

Quality and SLA tracking

You can set up customer satisfaction (CSAT) surveys that send automatically after interactions. The platform tracks response rates and average scores over time.

Service level agreement (SLA) monitoring ensures your team meets response time targets. Basic quality assurance features let supervisors review agent conversations for coaching opportunities.

Advantages and disadvantages of Richpanel for DTC brands

Richpanel works well for specific types of ecommerce brands but has clear limitations as businesses grow. Understanding both sides helps determine if it fits your needs.

Key advantages

Richpanel's strengths center on affordability and simplicity:

  • Low entry cost: Starting at $9 per agent makes it accessible for tight budgets
  • Shopify integration: Deep connection provides valuable customer context
  • Self-service focus: Customer portal effectively reduces repetitive tickets
  • Easy learning curve: Simple interface requires minimal agent training

Notable limitations

Growing brands often hit these constraints:

  • Basic AI capabilities: Limited to agent assistance rather than autonomous resolution
  • Reporting gaps: Lacks advanced analytics for data-driven decision making
  • Channel restrictions: Voice and advanced SMS often require expensive upgrades
  • Performance issues: High-volume brands may find the platform restrictive

How Richpanel features compare to Shopify-focused helpdesks

Richpanel competes with other ecommerce-focused helpdesks but takes a different approach. Its self-service emphasis creates both opportunities and gaps compared to revenue-focused platforms.

Richpanel fit by use case

Richpanel works best for small to medium direct-to-consumer (DTC) brands that prioritize ticket deflection over revenue generation. It excels when your main goal is empowering customers to solve their own problems.

Ideal scenarios include brands with low ticket volume, straightforward support needs, and limited budgets. The platform handles basic ecommerce support well but struggles with complex workflows.

Gorgias advantages for Shopify brands

For brands viewing customer service as a revenue driver, platforms like Gorgias offer more comprehensive solutions. Gorgias's AI Agent resolves support issues and actively engages in sales conversations, providing product recommendations and driving purchases.

Key differences include:

AI Focus

Agent assistance and deflection

Autonomous support and sales

Shopify Integration

Order viewing and basic actions

Deep integration with revenue attribution

Automation

Rule-based workflows

Advanced AI-powered actions

Primary Goal

Reduce ticket volume

Drive revenue growth

For brands considering a change, help desk migration to a more powerful platform can unlock growth opportunities that basic deflection tools can't provide.

Choose the right helpdesk for your ecommerce brand

Richpanel serves small teams with limited budgets well. Its straightforward features and self-service focus provide solid foundations for managing customer support and reducing repetitive inquiries.

However, brands seeking advanced AI automation, revenue-driving tools, and platforms that scale with growth need more sophisticated solutions. The right helpdesk transforms support from a cost center into a growth engine that drives measurable business results.

Consider scheduling a demo to explore how purpose-built ecommerce helpdesks can elevate your customer experience and unlock revenue opportunities that basic deflection tools miss.

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Ecom Lab Announcement

Ecommerce Finally Has a Research Hub Built on Real Data

By Gorgias Team
min read.
0 min read . By Gorgias Team

TL;DR:

  • The Ecom Lab is Gorgias’s public research hub for ecommerce insights. It shares real, first-party data to help teams understand industry performance and trends.
  • It exists to solve the lack of reliable ecommerce benchmarks. Most available data is self-reported or too broad, making it hard for teams to accurately measure performance.
  • The goal is to give ecommerce teams a clear baseline for smarter decisions. With real benchmarks, you can better evaluate performance and opportunities.
  • The Ecom Lab makes metrics like AI adoption, response times, and CSAT visible. These are segmented by brand size, GMV, and vertical so you can benchmark more precisely.
  • The latest reports reveal major gaps in AI adoption and benchmarking practices. They also highlight how inefficient support processes are driving costs.

Industry benchmarks for ecommerce are hard to come by. Most of what's out there is self-reported, survey-based, or too aggregated to be usable. Teams are left wondering whether their AI adoption is on par with industry standards or if their response times are costing them revenue.

That's a gap we're in a unique position to close. 

Gorgias processes millions of customer conversations across thousands of ecommerce brands every day. This has given us a rare, unfiltered view into how the industry operates. But until now, we’ve kept those insights largely internal.

Today, we're making it public with the Ecom Lab

The result is years of first-party data from thousands of ecommerce brands, packaged into findings that give teams a real foundation to build their strategy on.

What is the Ecom Lab?

The Ecom Lab is Gorgias's public research hub for ecommerce. It publishes insights and reports on AI adoption, support performance, financial impact, and industry trends.

The goal is simple: give teams a real baseline to measure against and to uncover the industry's inner workings.

What data can you find in the Ecom Lab?

Metrics that actually move decisions. 

The Ecom Lab publishes metrics that matter to ecommerce professionals, including AI adoption rates, first response times, CSAT scores, conversion rates, and ticket intents, all broken down by brand size, GMV tier, and industry vertical.

For the first time, teams can see exactly where they stand in comparison to the broader market.

Read the first three reports now

AI is Everywhere reveals why roughly 4 in 5 ecommerce brands still haven't deployed AI in customer-facing support.

Stop Benchmarking Against the Average argues that support teams should benchmark response times against their specific industry vertical rather than the overall average.

Most Brands are Overpaying for Support breaks down the actual cost of support ticket volume and what happens when AI handles the load.

Go to the Ecom Lab →

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