Do today
Health — vs last week funnel →
How Fixt's own channels are performing. Engagement is normalized (interactions ÷ views), so it's comparable across posts of different reach.
🎵 @fixt_app — TikTok
📸 @fixt.hq — Instagram
Niche / competitor trends
Pain signals & the words people use
What to make this week, derived from the market. Scripts are starting points — adapt to Fixt's voice.
Videos by funnel stage
ToFu (viral/memes) builds awareness; MoFu (educational) captures problem-aware viewers; BoFu (demos/testimonials) converts ready buyers.
Today's videos to emulate (with scripts)
UGC creators to reach out to
Priority targets: LDR creators & relationship therapists/coaches — highest-fit audiences for Fixt.
Draft DMs
Comments from real people discussing what Fixt helps with — drafted replies you can paste. Engaging here builds goodwill where your audience already is (no links for the first 30 days).
💬 Replies to send
End-to-end funnel
Activation & conversion
Onboarding drop-off (7d) — ordered by reach
event_name + reached counts but events aren't in a defined screen order; the pipeline needs to emit them pre-sorted by the canonical screen sequence to compute step-over-step drop %.
Paywall → paid sub-funnel
Revenue & subscriptions (RevenueCat)
Retention cohorts
DAU trend (last 7d)
Retention by weekly install cohort
App Store installs — first-time downloads
Counts only first-time downloads (App Store product types 1/1F/1T). App updates (type 7) and in-app purchases (IA*) are excluded.
Paid promos — cost per install
Every paid creator promo: spend, reach, and App Store installs in the 3 days after. The number that matters is cost-per-install (CPI). Log promos in data/promos.json.
Reflects the latest pipeline run. Refresh data: ./run_pipeline.sh, then reload.