Growth · Conversion Brief

Visitors can't figure out what they'll pay — so they leave on the pricing page.

A read of 400 survey responses against the 12-month funnel. The qualitative and quantitative evidence point at the same wall: pricing clarity, not price level or product fit.

Source · 400 signup-survey responses + funnel analytics Method · open-text themed by hand, then cross-cut with structured fields Date · Jun 2026

01 The one problem

Pricing is opaque before the value is proven.

Grouping the free-text answers, 145 of 400 respondents (36%) named a pricing-related reason they almost didn't proceed — confusion (64), perceived expense (53), or being forced to "talk to sales" (28). It is the single largest theme by a wide margin, and the most-requested fix is literally "a clearer, simpler pricing page" (66 requests). This converges exactly with the funnel: the pricing page is the biggest single-page drop-off at 62% bounce.

36%
cited a pricing reason for almost leaving (145 / 400)
62%
bounce on the pricing page — the worst page in the funnel
#1
"Clearer pricing page" — top open-text request (66)

02 What almost stopped people n = 400, verbatim themes

"The pricing was confusing — I couldn't tell what I'd actually pay"64
"Onboarding was confusing, I didn't know where to start"63
"Looked great but wasn't sure it solved my specific problem"55
"Pricing felt too expensive for what I'd get"53
"Nothing really — I signed up fast"45
"Couldn't tell if it would integrate with my tools"34
"Worried about data privacy"31
"I had to talk to sales and gave up"28
"The trial was too short to evaluate"27
Pricing-cluster reasons (orange) sum to 145 (36%) — confusion + expense + sales-gate. Onboarding, the clear #2, accounts for 63.

03 In their words

×64

"The pricing was confusing — I couldn't tell what I'd actually pay."

Most-frequent single verbatim reason
×28

"I had to talk to sales and gave up."

Self-serve buyers blocked by a sales gate
×53

"Pricing felt too expensive for what I'd get."

Value framed before the value is shown
×66

"[I want] a clearer, simpler pricing page."

The #1 thing respondents asked us to build

04 The funnel agrees last 12 months

Visitors41,800
↓ 13.5% sign up
Pricing page62% bounce
Signups5,640
↓ 38.7% activate
Activated2,180
↓ 31.6% pay
Paid690  ·  1.65% of visitors

05 Supporting findings

A

Confusion ≠ expense — and confusion is the cheaper fix.

Of the 145 pricing mentions, 64 are "I couldn't tell what I'd pay" and 28 "had to talk to sales and gave up." That's 92 people blocked by transparency, not by the number. Only 53 said it was genuinely too expensive. Most of this leak is information, not value.

B

Onboarding is the clear #2 — fix it next, not first.

63 almost left because "I didn't know where to start," and "a guided setup checklist" was the single top request (67). This maps to the signup→activation step (only 38.7% activate). Real, but downstream of the pricing-page leak.

C

This isn't a satisfaction problem.

Average NPS across respondents is 5.96, and pricing-confused users actually score 6.11 — slightly above average. People aren't churning on a bad product; they're bouncing before they ever experience it. The blocker is at acquisition, not retention.

06 The experiment to run

Hypothesis
The pricing page bounces because visitors can't self-determine what they'll pay and hit a forced "contact sales" wall — not because the price is too high. Making pricing fully transparent and self-serve will cut pricing-page bounce and lift visitor→signup conversion.
The exact change
Replace the current pricing page with transparent per-plan pricing + an interactive "what you'll pay" calculator (pick seats/usage → see the exact monthly number), and remove the mandatory Contact sales gate on the primary tier in favor of self-serve checkout. A/B vs. the current page, 50/50.
Primary success metric (pre-registered)
62% → ≤45%
pricing-page bounce rate
13.5% → ≥16%
visitor → signup CVR (guardrail)
Falsifiable: run to 95% significance at ~10k visitors/arm (~2 wks). If bounce on the transparent variant does not beat control, the hypothesis is wrong — the blocker is price level, not clarity — and we pivot to packaging/value work instead of more page polish.