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Every time I review a creative brief or audit a landing page, the first thing I ask the founder is: "What are the most common objections people have before buying?"
Usually I get some version of: "I think price is the biggest one" or "Probably shipping time" or "I'm not sure, honestly."
They're guessing. They've been running their business for years and they're guessing why people don't buy from them.
There's a tool that answers this question definitively, and it takes about 10 minutes to set up.
Most Shopify brands either don't have it or have it but they never look at.
It's a post-purchase survey on your thank-you page.
And it might be the single most underused growth tool in e-commerce.
Why This Data Changes Everything
A post-purchase survey asks customers questions right after they buy.
The timing matters because they're in the moment: they just committed money, they're (hopefully) feeling good about their decision, and they're more willing to answer honestly than at any other point.
The two questions that produce the most actionable data:
Question 1: "What almost stopped you from buying today?"
This gives you your objection list, ranked by frequency.
The real objections, from the people who overcame them and bought anyway.
When you have 200+ responses to this question, patterns emerge fast.
Maybe 40% say "I wasn't sure about the sizing."
Maybe 25% say "I thought the price was high for what I was getting."
Maybe 15% say "I couldn't find enough reviews from people like me."
Each of those answers is a direct brief for a retargeting ad, a product page improvement, and potentially a new piece of content.
If 40% of buyers almost didn't buy because of sizing uncertainty, your retargeting sequence needs a sizing guide ad.
Your product page needs a sizing tool above the fold.
Your email flows need sizing content.
That one data point cascades into five concrete improvements.
Question 2: "How did you first hear about us?"
This tells you which channels are actually driving awareness versus which channels are taking credit for it.
If 60% of post-purchase survey respondents say "Instagram" but your Google Ads dashboard claims 50% of conversions, you have an attribution problem worth investigating.
This is the cheapest, most reliable attribution data you'll ever get.
No pixel issues, no cookie restrictions, no platform bias.
Just customers telling you where they first encountered your brand.
How This Feeds Your Entire Growth System
Most founders think of a post-purchase survey as a "nice to have" for customer research.
In reality, the data feeds four critical systems:
1. Creative.
Last week I wrote about building retargeting sequences that handle specific objections.
The post-purchase survey is where those objections come from.
Without this data, you're guessing which objections to address in your retargeting ads.
With it, you're building creative around the exact hesitations real customers had, ranked by frequency.
2. Product page CRO.
If 35% of buyers say "I almost didn't buy because I wasn't confident it'll work" that tells you exactly where your product page is weak.
Move reviews higher on the page.
Add a testimonial above the fold.
Show the number of customers served.
The survey data tells you which CRO changes will have the most impact.
3. Offer and messaging strategy.
If a significant percentage of customers say price was their biggest hesitation, you have a few options:
- Add more perceived value to justify the price (bundling, bonuses, guarantees, alternatives)
- Add more storytelling & explanation around why the price is so high and what makes it worth it
- Test a lower entry-point offer.
The survey data tells you which lever to pull and how urgent it is.
4. Channel attribution.
The "how did you hear about us" question is the closest thing to ground truth in attribution.
If 50% of customers say TikTok but TikTok only gets 10% of your ad budget, you might be massively underinvesting in your strongest awareness channel.
How to Set It Up (10 Minutes)
Option 1: Shopify post-purchase survey apps.
Apps like Fairing, KnoCommerce, or Zigpoll let you add a one or two question survey to your order confirmation page. Setup takes 10 minutes. Most have free tiers for basic surveys.
If you use Triple Whale for attribution (which I recommend), they also have a native post purchase survey that directly integrates with Shopify. Takes 5 minutes to setup.
Option 2: Manual (free).
Add a simple Typeform or Google Form embed to your Shopify thank-you page using the checkout customization settings.
Less polished, but it works and costs nothing.
What to ask:
- "What almost stopped you from buying today?" (Open text or multiple choice with your top suspected objections)
- "How did you first hear about us?" (Multiple choice: Instagram, TikTok, Google, Friend/family, Podcast, Other)
Ideally, you should have a setup where it saves the progress after each question. So that if people drop-off after question 1, you still get the response. That's how the Triple Whale post purchase survey works.
If that's the case, I recommend adding more questions since there's no harm in asking too much.
We've had brands asking over 10 different questions. You could see the drop-off rate at every single question, but there were also a lot of customers replying to all of them and we got a lot of data.
If that doesn't work with your setup, limit it to 2-3 questions max. Every additional question reduces completion rate.
Two questions at a 40 to 50% completion rate is worth more than five questions at 10%.
Your Action Step This Week
If you already have a post-purchase survey, open the data right now.
Pull the last 200 responses to "What almost stopped you from buying?" and rank the top 5 answers by frequency. You can also do all of that using ChatGPT or Claude.
That ranked list is your CRO priority list and your content production brief for the next 30 days.
If you don't have one, set one up this week. Pick one of the apps above or use a free form. The sooner you start collecting responses, the sooner you stop guessing.
I've seen brands run for years without this data, making assumptions about their customers that turned out to be completely wrong.
One brand assumed price was the #1 objection. When they actually asked, it was shipping time.
They'd been running retargeting ads justifying the price for months when the thing holding customers back was delivery speed.
A simple "ships in 2 business days" badge on their product page and a retargeting ad highlighting fast shipping moved their conversion rate more than any price-related change ever had.
You can't fix objections you haven't identified. And you can't identify them by guessing.
Talk soon,
Andrej
PS: If you already have post-purchase survey data and want help turning it into a creative brief, reply with "survey" and I'll show you how I structure the creative plan from that data.
PPS: Me on every audit call when I ask about post-purchase surveys →
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