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During last year's BFCM window, brand policy questions were the only category to gain share of the presale queue, and they converted at better than one in five. The mix of what shoppers ask before buying is a map of purchase intent, by industry.
- 2x - Brand policy questions convert at nearly twice the rate of availability questions in AI-assisted sales conversations.
- +73% more brand policy questions per day during last year's BFCM window than in the fall baseline.
- 21.4% of brand policy questions during the BFCM window converted to an attributed order.
Most pre-purchase conversations are product research. That does not make them equal.
Every brand heading into Black Friday and Cyber Monday plans for volume. Fewer plan for what is inside it. A shopper asking whether an item is in stock is not in the same place as one asking for a discount, wholesale terms, or warranty coverage. Both are pre-purchase questions. Only one signals that the shopper may be close to making a commercial decision.
Across pre-purchase conversations, product details are the largest category at 36.6%. Availability follows at 30.4%. Brand policy, usage, and customization make up the remaining third.
Availability questions look like buying intent. They often are. But they are also low-commitment: a shopper can ask whether something is in stock without ever reaching checkout.
Brand policy questions carry the strongest purchase signal.
Among Shopping Assistant sales conversations, brand policy questions had an 18.7% attributed conversion rate. Availability questions converted at 9.5%.
These rates come from AI-assisted sales conversations, the one surface where a question and an attributed order can be tied together. That is a narrower window than all presale conversations, and brands that run Shopping Assistant self-select into it. Read the levels as attribution inside that window, not as incrementality. The ranking between categories is the signal.
That is not a verdict on which questions deserve an answer. It is a prioritization signal. When a shopper asks about a discount, wholesale terms, or warranty coverage, the conversation is more likely to sit near a purchase decision than a basic availability check. Product details and usage sit in the middle, converting at roughly 13%, which suggests product education matters but does not carry the same commercial signal as a question about terms.
The implication is operational. Treat these categories differently in the shopping experience. Make availability answers fast and complete. Give brand policy questions a path to the policy, offer, or sales handoff that resolves the commercial decision.
Last BFCM, the queue tilted toward the questions that convert.
This is not a theoretical peak-season story. During the 2025 BFCM window, November 20 to December 2, pre-purchase volume ran about 51% heavier per day than the September and October baseline. And the mix moved. Brand policy was the only question category that gained share during the window, rising from 15.3% of presale conversations to 17.6%. Put the two together and brands fielded roughly 73% more brand policy questions per day than they did in the fall.
Conversion moved the same way. Every question category converted at a higher rate during the BFCM window, because holiday shoppers are closer to a purchase across the board. But the hierarchy did not change: brand policy stayed on top and availability stayed at the bottom, in the peak window and in the baseline alike.
Read that table as the shape of the surge. The questions that pile up fastest during BFCM, promotion terms, discount stacking, warranty coverage on gift purchases, are also the ones sitting closest to a sale, converting at better than one in five. The time to wire that difference into your automation is before November, not during it.
The pattern holds across industries. The size of the gap does not.
Brand policy is the highest-converting category in nearly every industry shown. The two exceptions are Baby & Toddler and Food & Beverages, where customization narrowly leads. In Animals & Pet Supplies, brand policy and customization are within a tenth of a point of each other.
Availability leads nowhere. It sits at the bottom of most industries, and where it does not, customization or usage converts even lower.
The gap between brand policy and availability is widest in Apparel & Accessories, where brand policy converts above 20% and availability sits below 9%. Health & Beauty posts the highest brand policy rate of any industry at 21.1%. Both are categories where BFCM concentrates a disproportionate share of the year's revenue, which makes the split worth acting on before the quarter turns.
The category mix also changes the opportunity. A brand with a high share of availability questions needs accurate stock and restock answers, and holiday inventory makes that harder, not easier. A brand with more brand policy questions has more conversations that warrant a direct route to the terms, offer, or specialist that can close the decision.
The bottom line
Pre-purchase questions are not one queue. They are a map of where shoppers are in the buying decision, and BFCM is when reading that map pays the most.
Brand policy questions are 14.9% of pre-purchase volume in an ordinary quarter, and they convert at 18.7% in assisted sales conversations. Availability questions are twice as common and convert at 9.5%. Last BFCM the queue ran half again heavier per day and tilted further toward brand policy, exactly the category that converts best. The brands that distinguish these questions before November put their attention and their automation where the purchase signal is strongest. Everyone else answers stock checks in the order they arrived, while the buyers wait in the same line.
Methodology
Platform-level behavioral data from Gorgias merchants. Primary window: May 9 to August 6, 2026, a rolling 90-day window with a 7-day lag. Seasonal analysis compares the 2025 BFCM window, November 20 to December 2, 2025, with a September 1 to October 31, 2025 baseline on the same population definitions. Population: customer accounts, non-spam pre-purchase tickets classified by the AI intent taxonomy with a populated second-level intent. Question share is computed across all such pre-purchase tickets. Conversion rates are computed on Shopping Assistant sales conversations only; a converted ticket is linked to at least one attributed web order with product_source = 'ai-sales-agent' per the canonical Ticket Conversion Rate definition. Question categories are Availability, Details, Usage, and Customization under the Product intent, plus Information under Promotion & Discount, Wholesale, or Warranty intents. Industry rows use the primary window and map the current account industry into the Ecom Lab industry framework; industries below the account floor in any question category are not shown, and cells below the ticket floor are suppressed. Caveats: conversion is attribution, not causal incrementality; brands and shoppers self-select into Shopping Assistant use; question share and conversion are measured on different populations; BFCM-window conversion is higher across all categories, so peak levels reflect shopper readiness as well as question type; the middle of the category ranking reorders between windows, only the top and bottom are stable; current account industry can differ from the benchmark taxonomy. Data as of August 2026.
