Analyze product survey data for pricing insights in minutes
Upload or paste your product survey responses → uncover what customers value, what they'll pay, and where your pricing strategy needs to shift
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"I love the product but honestly the Pro plan feels like I'm paying for features I never use. I'd happily pay more for just the core stuff done really well."
"If the reporting was more advanced I'd upgrade immediately — that alone would justify double what I pay now. That's the one thing holding me back."
"I've been on the free plan for six months. I keep meaning to upgrade but I honestly can't tell what I'd actually get that I don't have now."
"Your competitor charges less and has a similar feature set — I'm staying because the onboarding was better, but I justify it to my boss every quarter."
What teams usually miss
Most teams only look at rating scales and skip the open-text fields where respondents reveal exactly what they'd pay more for and why.
When survey responses are read manually, patterns across customer segments — like SMB vs. enterprise — get flattened into a single average that hides actionable pricing opportunities.
Phrases like "too expensive for what it is" or "confused about plan differences" repeat across dozens of responses but never get aggregated into a clear strategic signal without AI analysis.
Decisions you can make from this
Restructure your pricing tiers based on the features customers consistently say they value most versus the ones they report never using.
Set a confident price increase for your top plan after confirming that power users repeatedly signal high willingness to pay for advanced capabilities.
Redesign your freemium-to-paid upgrade flow based on the exact friction points and unmet expectations surfaced in survey responses from free-plan users.
Build a segment-specific pricing strategy for enterprise buyers after identifying that their value drivers and budget justification language differ significantly from SMB respondents.