Pricing · Use Case

Find the Price That Maximizes Revenue Test pricing before your first customer sees it

Test pricing before your first customer sees it

4

Steps

3

Recommended Panels

10 min

Time

$180K

more projected ARR in year one

61%

intent at the revenue-maximizing price

+24%

trust scores at $39 vs $19

$79

enterprise tier buyers preferred

The Challenge

What's Going Wrong?

Most teams fail here not because they build poorly — but because they validate nothing. Here's the reality.

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Pain Point 1

He planned to launch at $19 per employee based on a competitor's public pricing

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Pain Point 2

He had no idea enterprise buyers associated low price with limited support and missing features

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Pain Point 3

His target segment (mid-market HR teams) had 50% higher budget than he assumed

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Pain Point 4

A/B testing on real customers post-launch would damage brand trust and confuse early users

The Solution

How We Fix This

A simple, repeatable process that turns guesswork into data — in under 10 minutes.

1

Created 3 pricing scenarios

He wrote three identical product descriptions with only the price changed: $19, $39, and $79 per employee per month.

2

Targeted HR decision-makers

He filtered HR managers and People Ops leads by company size (50-500 employees) and current HR tech stack to match his ideal customer.

3

Measured willingness to pay

TestSynthia generated 600 responses showing purchase intent curves, price sensitivity by segment, and verbatim explanations for why each price felt right or wrong.

4

Validated the $39 sweet spot

$39 produced 61% purchase intent, and enterprise buyers preferred a $79 tier with premium support. He launched at $39 and later added a $79 enterprise tier for teams 500+.

Real Scenario

See It In Action

A founder building employee onboarding software tested three price points ($19, $39, $79 per employee per month) with 600 HR manager and People Ops personas. He discovered that $39 maximized revenue: $19 had 78% purchase intent but signaled 'cheap and limited' to enterprise buyers, while $79 dropped intent to 24% for SMBs. At $39, 61% of HR managers said yes, and enterprise buyers (500+ employees) actually preferred a $79 tier with premium support and SSO. He launched at $39 with a $79 enterprise tier and increased projected ARR by $180K in year one.

Key Insight

At $19, 78% of HR managers said they would buy - but 41% of them said the price was 'suspiciously low' and worried about support quality. At $39, purchase intent only dropped to 61%, but trust scores jumped 24%. The founder increased projected ARR by $180K in year one by launching at $39 instead of $19.

At $19, buyers said 'suspiciously low.' At $39, they trusted us and bought. I was leaving $180K a year on the table by underpricing.
F

Founder

Onboarding Software Startup

Sample Questions

What We Ask Personas

The exact questions your personas answer to reveal what really drives their decisions.

1

At $19 per employee per month, how likely are you to purchase this onboarding tool for your team?

2

At $39 per employee per month, does this price feel fair for the value described?

3

At $79 per employee per month, what would you need to see to justify this price?

4

Which price point makes you most confident this company will still exist in 2 years?

Results

What You Walk Away With

Concrete outcomes you can act on immediately after your simulation.

1

Discovered enterprise buyers preferred a $79 tier over $39 (quality and support signal)

2

Found the revenue-maximizing price without risking real customer relationships

3

Identified a natural $79 upsell path for teams 500+

4

Avoided leaving $180K+ ARR on the table by underpricing at $19

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