The conversion problem is pricing confidence, not generic traffic quality.
41,800 visitors analyzed
survey-responses.csv was not available to this runtime, so I cannot honestly report themed open-text counts or representative verbatim quotes from the 400 survey responses. The brief below uses the supplied funnel analytics only and marks the missing survey evidence explicitly rather than fabricating it.
Prospects reach pricing, then leave because the page does not create enough value certainty to justify starting or buying.
The strongest observed signal is the 62% pricing-page bounce combined with weak conversion from activation to paid. If a buyer cannot quickly answer “is this worth it for my team, at my size, right now?”, the funnel loses them before sales intent becomes revenue.
Funnel shape
Overall visitor-to-paid conversion: 1.65%. Biggest named single-page drop-off: pricing page at 62% bounce.
Evidence requested from survey text
Open-text themes unavailable
I was asked to theme what_almost_stopped_you and top_request free-text answers and provide counts plus quotes. Because the CSV attachment is not accessible here, those counts and quotes are intentionally omitted.
Observable behavioral evidence
The pricing page is the biggest named page-level leak. A 62% bounce at the moment of commercial evaluation is consistent with value/price ambiguity, packaging mismatch, missing trust proof, or weak plan guidance.
Revenue step remains fragile
Only 31.6% of activated accounts become paid. Even after users experience the product, the paid decision is not obvious enough. This supports focusing on pricing confidence rather than only top-of-funnel acquisition.
2–3 supporting findings
Visitors are willing to engage, but commercial intent stalls
A 13.5% visitor-to-signup rate is credible for B2B SaaS, so the immediate problem is less “nobody understands the product” and more “the buying case weakens when price enters the journey.”
Activation is a second-order issue
Signups-to-activation is 38.7%, leaving room for onboarding work. But because the prompt identifies pricing as the largest single-page drop-off, the most direct conversion lever is to reduce pricing-page uncertainty first.
The funnel needs a buyer-specific answer
Pricing pages often fail when buyers cannot map plan, company size, role, and expected ROI to a recommended next step. The fix should make the “right plan for me” explicit and defensible.
One falsifiable experiment
A/B testPricing page14–28 days or until poweredHypothesis
If the pricing page reframes plans around buyer outcomes and removes plan-selection uncertainty, then more high-intent visitors will start a trial/demo and more activated users will convert to paid, because the perceived risk of choosing and paying will be lower.
Exact change
Replace the current pricing-page hero and plan cards with a “Choose by team size + outcome” module: (1) three role/company-size selectors that recommend one plan; (2) each plan card leads with outcome and included limits, not just price; (3) add an ROI proof strip with 2–3 quantified customer outcomes; (4) add a visible FAQ answering contract terms, onboarding time, data/security, and cancellation; (5) primary CTA becomes “Get my recommended plan” and secondary CTA “Talk to an expert”.
Success metric
Pre-register the win condition: ship if pricing-page bounce falls by at least 10% relative and pricing-page-to-signup/demo conversion rises with no activation-rate degradation.