Free-text signup attribution for dark funnel discovery
Add a free-text 'How did you hear about us?' field during signup instead of a dropdown to uncover the untraceable channels driving 30-50% of B2B signups.
Why this can grow a startup
Traditional analytics attributes most dark funnel traffic as 'Direct' or 'Organic,' hiding the real channels that drive trust and buying decisions. A free-text field captures the actual discovery path in the user's own words, revealing channels like private communities, personal recommendations, and podcast mentions that you'd otherwise never invest in. Founders who discover these hidden channels can double down on fueling word-of-mouth instead of over-investing in trackable but lower-trust paid channels.
Company example
Documented by http://Postiv.ai (February 2026) across hundreds of SaaS founders — those who replaced dropdown attribution with a free-text field consistently discovered that 30-50% of signups came from private Slack channels, forwarded newsletters, DM recommendations, and other dark funnel sources invisible to analytics.
Source and metric
Source: postiv.ai · Browse postiv.ai tactics
50% of signups came from private Slack chan
Source discovered: March 23, 2026
When to use it
Use this when Communities, 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 postiv.ai and identify what is directly supported.
- Choose one channel context: Communities, Referrals.
- Define the test around 50% of signups came from private Slack chan.
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Build creator and community systems around real incentives, trust, and repeat participation.