Free trial conversion economics

Trial economics — the GTM signal SaaS founders watch most

Trial-led GTM has 3 leaks: signup → activation, activation → paid, and the question of whether your CAC actually pays back in <12 months.

The funnel

signups → activated (reached aha moment) → trial-to-paid converters

Default scenario: 1,500 signups × 35% activation × 18% conversion = 94 paid customers/month. Blended CAC against the funnel determines payback.

Activation is the tells-you-everything metric

Most failing trials don't fail at conversion — they fail at activation. If <30% of signups reach the aha moment in the trial window, conversion math doesn't matter; the product isn't pulling them in.

Conversion benchmarks

• B2C consumer SaaS: 2-5% trial-to-paid (mass market, high signup volume)
• B2B SMB: 12-20% (Calendly, Notion, Loom)
• B2B enterprise PLG: 5-15% (Datadog, MongoDB Atlas — assisted by sales)

The reverse-trial play

PLG (product-led growth) variations:

• Free forever + paid features: Notion, Figma. High signup volume, low conversion %.
• 14-day full trial: SaaS standard. Forces evaluation in compressed timeline.
• Reverse trial: free always, paid features auto-trial for 14 days, then degrade.
• Credit card required upfront: dramatically reduces signups but raises trial-to-paid 2-3x.

What to fix when payback is slow

1. Higher activation rate: improve onboarding, reduce time-to-aha
2. Better trial UX: in-app prompts to convert, friction-free upgrade path
3. Tighter pricing: too-low ACV forces long payback even at strong conversion
4. Channel shift: cut the most expensive paid channels in favor of organic