How to Find Out Why Visitors Aren't Buying
Diagnose the real reasons visitors leave without purchasing, by asking them at the moment they decide
Analytics tells you where people drop off. It never tells you why. You can watch a thousand session recordings of visitors bouncing from your product page and still be guessing at the reason.
The fastest way to find out is to ask — at the two moments when the answer is still fresh: right as someone is about to leave, and right after someone has bought.
The two surveys that matter
Survey 1: Ask the people who are leaving (exit intent)
Catch visitors as their cursor heads for the close button.
Create a survey and add a Single Choice slide: "What's stopping you from buying today?"
Give them the honest options — the ones you'd rather not hear:
Price is too high
Shipping cost or delivery time
I couldn't find what I was looking for
I need more information about the product
I'm just browsing
Something on the site wasn't working
Enable a dynamic "Other" answer so people can type a reason you didn't anticipate. These write-ins are where the surprises live.
Add a Long Answer follow-up with Slide Logic — when someone picks anything other than "just browsing," ask "What would have changed your mind?"
Set the delivery method to exit intent. See Exit Intent Survey, plus Exit Intent Conditions to fire it only for visitors who matter (for example, those with something in their cart) and Exit Intent on Mobile, where there's no cursor to track.
Resist the urge to sanitize the answer options. If "price is too high" isn't on the list, you will never learn that price is the problem — respondents will just pick the closest available excuse.
Survey 2: Ask the people who bought (post-purchase)
Counterintuitively, buyers are the better source. They navigated every obstacle on your site and still converted, which means they remember the obstacles clearly and are in a good enough mood to tell you.
Create a post-purchase survey with a Single Choice or Long Answer slide: "What almost stopped you from purchasing?"
Deliver it on the post-purchase page or in an order paid survey.
Every answer here is a conversion killer that survived. For every buyer who mentions it, assume there are others who hit the same wall and simply left.
This question is one of the highest-leverage in ecommerce. One brand found that customers almost didn't buy because a colorway was missing — launching it turned into a six-figure product line.
Targeting the right visitors
A blanket survey to all traffic produces mush. Narrow it with Targeting Settings:
Cart abandoners — Visitors with items in the cart who are about to leave. Highest intent, most actionable answers. See Abandoned Cart Survey.
Product page bouncers — People who viewed a product and are leaving without adding to cart. The blocker is usually information or price.
Repeat visitors who haven't bought — They keep coming back but won't commit. Something specific is holding them, and they'll usually tell you.
Checkout abandoners — The most expensive drop-off you have. On Shopify, use Advanced Shopify Targeting to reach them precisely.
Reading the results
Sort your answers into three buckets, because each demands a different fix:
Friction
"Checkout was confusing," "the size chart wouldn't open"
Ship a fix. These are bugs and they're cheap to solve.
Missing information
"I couldn't tell if it would fit," "no returns info"
A copy or merchandising problem. Also cheap.
Genuine objections
"Too expensive," "found it cheaper elsewhere"
A pricing or positioning problem — see How to Find Optimal Pricing.
Start with friction and missing information. They're the cheapest to fix and they usually account for more lost revenue than price does.
Zigpoll's Z-GPT Insights will cluster your open-ended responses into themes automatically once you have volume, so you can see which bucket dominates without reading every response. Pipe high-signal answers into Slack with a Slide Logic action so the team sees blockers the day they appear.
Close the loop
Offer help in the moment. Use Slide Logic to redirect someone who says "I couldn't find what I was looking for" to a collection page or a support form, or to show a Promo Code slide to someone who says the price is too high. A survey that solves the visitor's problem pays for itself immediately.
Re-run after you fix things. The mix of reasons should shift. If "shipping cost" drops from 30% to 8% after you introduce free shipping over $50, you've measured the impact of that change on the objection itself, not just on the conversion rate.
Related
How to Find Optimal Pricing for Your ProductHow to Test Your Messaging and PositioningTop 4 Surveys to Start WithLast updated