Why revenue decisions run on guesswork
Most stores know what sold, not why the rest did not. Analytics show where shoppers dropped off, but not the question in their head when they left. So teams fall back on broad discounts and random product placements, without knowing which doubt cost them the order or which product people keep asking about.
- Funnels show where shoppers leave, not why
- Product questions are scattered across chat, email and reviews
- Broad discounts get used to fix problems nobody has named
How Yuma turns conversations into insight
Every question a shopper asks Sales AI on a product page, in the cart or in chat is a signal. Sales AI shows which questions come up on each product and highlights the ones that come right before a shopper leaves: the questions that prevent a sale. You see the objections that come up most, the products that draw demand and the pages that are missing an answer.
Then you act on it: add the missing detail to the product page, fix a policy that confuses people or change what you recommend. Our guide to what shoppers ask before they buy shows the patterns to look for.
A parka with an unanswered question
Fjell Outdoor sees in its shopper insights that people keep asking whether a parka is waterproof or only water-resistant, and many leave right after asking. The team adds a clear line on the seams and coating to the product page, and Sales AI starts answering from it and recommending the fully waterproof shell to shoppers who need one.
Benefits
01Visibility
See why shoppers stall
Sales AI surfaces the questions that come before shoppers leave, without anyone reading transcripts.
02Accuracy
Fix the page once
Add the missing answer to the product page and the next shopper finds it before they need to ask.
03Focus
Effort where revenue is
Your team spends its time on the objections that block the most orders, not on guesses.
04Coverage
Every question counts
Questions from product pages, cart, checkout and chat land in the same view, so nothing gets lost between channels.
Yuma
Step by step
- 01
Capture every question
Sales AI records what shoppers ask on product pages, in the cart, at checkout and in chat. - 02
Tie it to the product
Each question is linked to the product and the point in the journey where it came up. - 03
Spot the blockers
It highlights the questions that come right before a shopper leaves without buying. - 04
Fix the gap
You close the gap on the page or in your policy, and Sales AI answers from the updated source. - 05
Measure the change
You track revenue per session, conversion rate and AOV against a control group to see what each fix was worth.
