Selge for Growth Lead
Run faster experiments. Ask before you build.
22%
of your visitors are actively comparing you to a competitor
Win them over
48 hrs
to validate a growth hypothesis with real visitor language
Ship smarter
60%
of A/B test losers could have been filtered out by a pre-test survey
Fewer dead ends
What brought you here today?
Time on page, 20s on /home
“I googled 'Hotjar alternative for small SaaS' and you came up. Looking for something cheaper that just does surveys.”
Why growth lead teams fly blind without surveys
01
You're building experiments blind
Before you write a line of code or design a variant, you should know what problem you're solving. Most teams skip this step and wonder why tests don't move the needle.
A quick survey pre-validates the assumption behind the experiment. Kills bad ideas cheaply.
02
Your ICP definition is based on firmographic data
Company size and industry tell you who signed up. They don't tell you what job they're trying to do or what almost stopped them.
Job-to-be-done surveys surface the language and motivations that sharpen your targeting.
03
You're measuring acquisition. Not understanding.
CAC and conversion rates are lagging indicators. Real-time visitor feedback is a leading indicator — it tells you what's wrong before the numbers confirm it.
On-site micro-surveys give you qualitative signal at scale, fast enough to act on.
Set it up once. Get answers forever.
Pre-qualify the hypothesis
Before building the variant, run a 1-question survey to validate the assumption you're testing.
Capture the ICP signal
A 'what brought you here?' survey on high-traffic pages builds a real-time picture of who's showing up.
Ship with confidence
When the survey data aligns with the hypothesis, you run a test you believe in — and write a better brief.
Survey use cases for growth lead teams
The right question, at the right moment, for the decisions your team actually makes.
01
Understand landing page intent
On high-traffic landing pages, shown to users after 10-15 seconds
Ask: 'What are you hoping to find here?' Open text. Reveals whether your traffic intent matches your page's promise — the root cause of high bounce rates.
02
Fix pricing page conversion
On exit intent from /pricing
Ask: 'What's stopping you from starting today?' Multiple choice: too expensive / not sure what I get / need to check with my team / just browsing.
03
Attribution beyond UTM
On your homepage or signup page, to new visitors
Ask: 'How did you hear about us?' Open text or multi-select. Captures word-of-mouth, dark social, and direct traffic that UTM parameters miss entirely.
04
Post-signup intent signal
During or immediately after signup flow
Ask: 'What's the main thing you want to accomplish?' Multiple choice. Lets you segment users by job-to-be-done from day 1.
What growth lead teams measure
And how on-site surveys give each metric more signal and less guesswork.
Visitor-to-signup conversion rate
Percentage of website visitors who complete signup.
Exit-intent surveys on high-drop pages identify whether the barrier is messaging, trust, or fit — telling you which hypothesis to test first.
Qualified traffic ratio
Share of visitors who match your ICP vs. those browsing without intent to buy.
A homepage intent survey reveals whether your SEO traffic is bringing the right audience. High traffic + low intent = a targeting problem, not a conversion problem.
Things you can do this week
Survey before you A/B test
Run a survey for 2 weeks before your next A/B test. You'll write a hypothesis based on what users actually say. Better hypotheses = faster wins.
Use open text for copy mining
The exact words users use to describe their problems in survey responses are the words that convert in ads and headlines. Stop writing copy in a vacuum.
Add a survey to your highest-traffic exit page
Find your top exit page in analytics. Add one exit-intent question. You'll know within a week whether it's a content problem, a UX problem, or an intent mismatch.
Start with an expert survey, not a blank page
Each template includes guidance on when to deploy it, what trigger to use, and what to do with the answers.
Analytics tells you where they drop off. This tells you why — in their own words.
When 55% prioritize one feature and your hero leads with another, you're selling the wrong thing to the right people.
Analytics tells you where visitors came from. This tells you why they showed up — and what job they're trying to do right now.