Playbook Methodology
A library of reusable growth plays — each playbook is a validated 'when signal X, do action Y' workflow. Built for solo founders and small product portfolios. Quantifiable, executable, reviewable.
Trigger Conditions
Each playbook fires on observable metric signals — e.g. a site's `gsc.impressions 7d delta > +30%` triggers the 'double down on rising query' play.
Action Checklist
Each play contains 3-7 concrete actions (write 5 articles / publish 1 X thread / spend $50 on ads), with owner + due date + completion criteria.
Review Metrics
Four weeks after execution, automatically pull metric delta vs baseline, judge 'worked / didn't work', and accumulate a personal playbook ROI library.
Why not 'AI-generated growth advice'?
Generic AI suggestions like 'do SEO + post tweets + run ads' are useless — they don't see your site's real metrics. mygrowthfriend playbooks are **human-written + data-triggered**: you define the conditions, the system watches the data, and when conditions are met it reminds you to execute the pre-defined action list.
3 Built-in Playbook Types
- Rising signal play — A query / page / channel is gaining traction — amplify it (write more, spend more, optimize schema, etc.)
- Decay alert play — A site's 30-day traffic is declining — diagnose + revive (check indexing, refresh stale content, add internal links)
- Cross-portfolio leverage — A tactic that worked on one site likely works on another — auto batch-execute (e.g. 'cluster pages converted on trendsmeter → copy the template to cdramaland')