v1 · The Money
You leaned toward a full pay-to-start gate. It's a legitimate model — but the data says it's the wrong one for an app whose value compounds with use. Here's the honest case, and what I'd ship instead.
The options
No app without a subscription. Onboarding ends at a wall. Cal AI's model.
Full premium free for ~7 days, no card, then downgrade to a limited free tier (not to nothing). Loss-aversion pulls conversion.
N days full access, card on file, auto-converts. Apple's standard intro offer.
Usable free forever; a dismissible wall appears at feature-gates or limits. Photoroom, Notion.
A fifth model — no-card soft trial (opt-in, no downgrade) — is the fallback if the reverse trial tests poorly.
Why not the hard gate
The app is close to worthless at item #1 and genuinely sticky at item #50. A day-0 hard paywall asks people to pay before the catalogue exists — before any value can be felt. That's the exact situation where hard paywalls lose: value compounds with use, and a personal-memory utility runs on habit + word-of-mouth ("I photograph my closet and just search it"), which a dam-in-the-loop gate strangles.
Cal AI can hard-gate because its aha lands in a single photo (snap food → calories now). NoonFox's aha is snap → later find it by search — it needs a few items and a return visit. Gate before that and you're charging for a promise, not a proof.
The honest scoreboard: 1-year retention is roughly equal between hard-paywall and freemium (~27% vs ~28%) — hard gates don't retain better, they just filter harder upfront. And for an AI app, every gated user is also lost catalogue/training data — a moat cost.
What comparable apps do
NoonFox straddles two worlds: it looks like an AI-photo app (Cal AI) but its retention model is second-brain. The two camps price very differently.
Pattern: the AI-photo category skews hard-paywall; the compounding-corpus category skews freemium. NoonFox's retention lives in the second camp — so price like it, gate like it.
The recommendation
Onboarding: capture 3–5 items free (a forced quick win) → demonstrate one natural-language search (the aha) → then the wall.
Gate: reverse trial — 7 days full premium, no card, downgrading to a limited free tier (e.g. 25-item cap / a few searches a month) rather than to nothing. The catalogue survives; loss-aversion does the converting.
Price: test around Cal AI's band — ~$40–70/yr, weekly + annual options, annual as default.
ADHD branch: frame the wall as capacity, not features — "Keep offloading — remember unlimited things" — and make the free tier generous enough that the habit forms before the wall.
Then let data decide
Judge every test on revenue-per-install and D30 retention — never the headline conversion %, which the hard gate inflates by shrinking its own base.
Receipts