| name | signs-of-life-paid-growth-testing |
| description | A framework for validating and kickstarting performance marketing channels through small-scale experimentation. Use it when launching a new product, testing a new platform (e.g., TikTok, Meta, LinkedIn), or determining if an existing channel has "signs of life" before committing major budget. |
This workflow uses the "Signs of Life" methodology to validate performance marketing channels through high-relevance data targeting and specific signal analysis, ensuring you don't scale "noise" or waste budget on broad awareness.
Phase 1: Identifying the Channel
Before spending, look for existing organic signals to determine where your users already live.
- Analyze Organic Inbound: Check Google Analytics (or your analytics tool) to see which platforms currently refer traffic to your site.
- Turn the Knob to 11: If a platform is already providing organic users, prioritize that for your first paid test.
- Apply the Platform Rule:
- Google Search: Always start here. It is user-driven (intent-based) rather than disruptive.
- Meta/TikTok: Use for disruptive media if you have strong creative assets.
- LinkedIn: Use for high-LTV B2B targeting (specifically for reaching decision-makers at specific companies).
Phase 2: The Lookalike Gradient Test
To minimize waste, use your existing customer data to find the highest-probability conversions first.
- Export Customer Data: Upload your current customer list to the platform (e.g., Meta or LinkedIn).
- Build Lookalike Buckets: Create distinct ad sets based on how closely they resemble your customers:
- 1% Match: Highest correlation/tightest targeting.
- 2-4% Match: Medium correlation.
