F10: Monetization — Data-Informed Refinement

## Summary
First data-informed iteration using Sprint 2 real usage data. Tune nudge triggers based on actual paywall response.

## Acceptance Criteria
- [ ] Analyze Sprint 2 paywall response data
- [ ] Tune nudge trigger thresholds based on real conversion data
- [ ] A/B test refined triggers vs original
- [ ] Iterate on notification copy/timing

## Sprint Assignment
- Sprint 3: Secondary release (alongside GitHub Actions primary)

## Notes
- Informed by two weeks of real MVP data, not speculative

Start by locating the Sprint 2 paywall response data and the existing nudge trigger and notification implementation. Compare the original triggers with real conversion data, then define refined thresholds and an A/B test that measures them against the originals. Done means the triggers are tuned, notification copy and timing are iterated, and the experiment results are recorded.

Written by the indexing model from the issue text.