Intentional onboarding friction to filter tire-kickers
Require a work email and a short onboarding survey during signup to filter out low-intent free users and dramatically improve paid conversion rates.
Why this can grow a startup
Most free-tier signups never convert. By adding small qualifying steps (work email, onboarding survey), you repel casual browsers and attract users who have real intent. This reduces support burden and improves unit economics. The counterintuitive insight is that fewer signups can mean more revenue when quality rises sharply.
Company example
Wovly analysis of 250+ founder case studies — one SaaS founder dropped total signups from 1,000 to 400 by adding intentional friction, but paying customers jumped from 23 to 41, lifting conversion from 2.3% to 10.25%.
Source and metric
Source: wovly.ai · Browse wovly.ai tactics
2.3% to 10.25%
Source discovered: March 25, 2026
When to use it
Use this when Referrals is relevant to 0-100, 100-1K and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read wovly.ai and identify what is directly supported.
- Choose one channel context: Referrals.
- Define the test around 2.3% to 10.25%.
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Choose product surfaces that compound distribution without hiding weak activation or retention.