Case study
Finta
Finta raised its annual price from $348 to $950, a 2.73× uplift, and closed 5 new customers on the monthly plan it reintroduced alongside it.
Stated
Finta, an AI-powered fundraising platform for private companies, came with three goals: deepen customer insight so product and marketing matched buyer preferences, sharpen targeting to raise conversion rates, and personalize outreach at scale. The decision underneath all three was price.
Revealed
Simulated demand supported a price far above the existing rate. The study validated a two-tier structure — $99 per month or $950 per year — and turned the pricing feedback Finta had been collecting into a demand curve the team could act on.
Numbers
Figures with provenance.
2.73×
annual price uplift, $348 to $950
2×
revenue growth in the year after the pricing change
5
new customers closed on the reintroduced $99/month plan
Model-predicted
Stated before the answer was known.
Predicted
Simulated demand supported a price far above the existing rate, and a two-tier structure at $99 per month or $950 per year.
Observed
Finta moved its annual price from $348 to $950, reintroduced a $99 monthly plan, and closed 5 new customers on the monthly plan. The CEO also reported closing customers at the old $348 rate, which now read as a discount against the $950 anchor.
Agreement
The direction held in market: demand did not fall away at the tested price.
Kevin Siskar, Finta CEO, by email 2024-10-01, in “FINTA Case Study Building Meeting” (Drive)
Causality
Price could rise substantially without losing the demand the business depended on. What the team had as scattered pricing feedback became a demand curve they could act on.
- Intervention
- Price levels varied across choice tasks.
- Outcome
- Purchase intent at each price.
- Design
- Synthetic respondents and causal AI, run against the buyer segment Finta sells into.
We validated customer feedback on pricing through Subconscious.ai’s survey insights, which gave us the confidence to adjust our pricing strategy successfully.