Founding pricingFounding rates locked in for apps that start before August 31, 2026.
FOR SHOPPING & D2C COMMERCE APPS — WITH A RECURRING-REVENUE LAYER

You celebrate the first order. The silence after it is what actually decides the business.

First, the honest part: AppDNA is subscription-first. This page is for commerce apps with recurring revenue in the model — prime-style memberships, replenishment subscriptions, paid loyalty — and retention-driven D2C apps building toward one. If your users buy once and vanish by design, we're not your best fit, and the free audit will say so. For everyone else: the membership converts when the user's own order history makes it obviously pay, replenishment runs on product cycles rather than campaign calendars, and browse-abandons are won back in hours, not newsletters. AppDNA's agents draft those moves from your commerce events; you approve; the SDK ships them — no App Store release.

Free · ~2 minutes · No credit card
01
In one paragraph

AppDNA is the App Growth OS for subscription apps — an AI system that analyzes the full funnel, proposes improvements, and ships approved changes to production devices without an App Store release. For shopping and D2C commerce apps with a recurring-revenue layer — memberships, replenishment subscriptions, paid loyalty — it is the system that times the membership ask to the customer's own order math, runs win-backs on replenishment cycles and browse-abandon windows, and turns web checkout traffic into app-first repeat buyers.

02

The numbers behind membership-first commerce

Benchmark
Web-to-app funnels convert roughly 2× better click-to-subscribe than direct-to-store campaigns
For D2C brands the traffic already exists — the store, the ads, the email list — it just dead-ends at web checkout instead of landing in the app where repeat behavior lives. The honest caveat: these funnels complicate data architecture and MMP plumbing, which is why one pipeline has to absorb it.
Benchmark
Acquiring a new customer costs roughly 5–25× more than retaining one
Commerce teams know their CAC to the cent and often can't say what a browse-abandon recovered within the hour is worth — the asymmetry this whole page is about.
Benchmark
A 5% improvement in retention can lift profits 25–95%
In membership commerce, retention compounds twice: the member renews and orders more while they're a member.
Benchmark
Subscription cancellation is a regulated surface — dark-pattern cancellation flows draw enforcement
Memberships and replenishment subscriptions live under the same rules as any app subscription; the save flow that traps a member is a liability, not a retention tactic.
03

Where commerce apps leak revenue

Four leaks we see in almost every membership-commerce funnel

01
The membership is advertised everywhere and timed to nothing.

The banner is permanent — home screen, checkout, account page — so it becomes furniture. Meanwhile the one moment membership sells itself passes unmarked: the order where the user's own history makes it pay. "Your last three orders would have shipped free" isn't marketing; it's arithmetic on their receipts.

On AppDNA: the monetization agent watches order-history thresholds — spend, frequency, shipping fees paid — and drafts membership offers at the moment each user's math clicks, framed in that user's numbers. You approve; it ships at 10% traffic, stop-loss on checkout completion so the ask can never cost an order.
02
Replenishment messaging runs on the campaign calendar, not the product cycle.

The 30-day supplement, the 8-week coffee bag, the quarterly razor pack — each has a physical clock, and the reorder window is when the product runs low, not when the newsletter goes out. Miss it and the customer restocks at the supermarket; blast early and you've trained them to ignore you.

On AppDNA: the retention agent builds journeys per product cycle from your own reorder data — the nudge, the one-tap reorder, the subscribe-and-save upgrade offered exactly when subscribing beats reordering. Approved once, running as a journey, every send audit-logged.
03
The browse-abandon window is hours. The win-back is a Tuesday newsletter.

A shopper who built a cart or lingered on a product page this morning is warm for hours — a day at most. Most commerce apps answer with the weekly email digest, or a generic push whose timing has nothing to do with the session that mattered.

On AppDNA: browse- and cart-abandon triggers fire inside the window — in-app, push, or email, frequency-capped and orchestrated in one system so the shopper gets one well-aimed nudge, not three channels' worth of the same cart. Stop-loss guards opt-out and unsubscribe rates.
04
The web store converts the sale; the app never gets the customer.

The brand's ads, search traffic, and email all land on web checkout — a one-time transaction with no push channel, no replenishment journey, no membership moment. Web-to-app funnels tend to run roughly 2× click-to-subscribe versus direct-to-store; the caveat is real data-plumbing pain, which is why most D2C teams never wire it.

On AppDNA: the web-to-app module carries the buyer from web checkout into the app with context intact — order history attached, membership math ready — in the same event pipeline as the rest of the funnel, so attribution survives the crossing.
04

The modules that matter most for commerce

Nine modules in the system. These four do the heavy lifting for commerce apps.

Monetization
the membership ask, timed to each customer's math.

Offer placement and framing tests anchored to order-history thresholds, drawn from thirty paywall templates. In practice: the permanent banner retires, and the offer appears when the user's own receipts argue for it.

Retention
journeys that run on product cycles.

Replenishment nudges timed to runout, subscribe-and-save upgrades at the moment they beat reordering, browse-abandon win-backs inside the window — one orchestrated system with frequency caps, not three tools racing to the same shopper.

Web-to-app
the checkout traffic becomes app customers.

Post-purchase and campaign traffic routed into the app with order context intact — the roughly 2× click-to-subscribe path, with the MMP plumbing absorbed by one pipeline instead of a quarter of data engineering.

Onboarding
from install to first order, shortened.

The onboarding agent finds what stands between the app install and the first in-app order — forced account creation, an unpersonalized wall of catalog — and drafts shorter paths that ship as native flows, no release.

05
Illustrative scenario

The membership offer that waited for the receipts

A D2C brand's app pushes its $49/year free-shipping membership to every user from day one — splash screen, banner, checkout upsell. Uptake is thin and the team concludes the price is wrong. The workspace suggests otherwise: buyers who hit their third fee-paying order convert to membership at a multiple of day-one users — the offer isn't overpriced, it's premature for almost everyone seeing it.

The proposed experiment: suppress the day-one pitch entirely; trigger the offer at each user's own threshold — the checkout where their accumulated shipping fees pass the membership price — framed in their numbers. Approved from the Insight Inbox, live at 10% traffic, stop-loss on checkout completion. In the scenario, membership conversion rises on fewer impressions: the same offer, made only when it had become arithmetically obvious.

This is an illustrative scenario showing how the system works — not a measured customer result.

06

Why not just a CRM and a messaging tool?

Braze, Klaviyo, OneSignal — genuinely excellent at sending the right message through the right channel. In membership commerce, the message is half the job. Here's the honest comparison:

A CRM / messaging tool aloneAppDNA
What it can sendMessages — push, email, in-app noticesMessages and the surfaces they point to: membership offers, subscribe-and-save screens, onboarding flows — shipped server-driven, no release
What it knowsThe events you pipe in, campaign by campaignThe whole funnel on one pipeline — order history, runout estimates, browse sessions, membership math — with agents drafting from it
Who does the thinkingYour team designs every journey, threshold, and segment by handThe agents watch the data, diagnose the leak, and draft the journey; you approve what ships
What compoundsCampaign reportsGrowth Memory — which thresholds, framings, and windows worked for your customers, kept and built on

A messaging tool delivers the nudge. The OS decides the moment, builds the screen it lands on, and ships both.

07

See your commerce app's Growth Score

Paste your App Store or Google Play link. In about 2 minutes: your Growth Score (0–100), scores across all nine modules, your biggest funnel leak — membership timing, replenishment gaps, web-to-app capture — benchmarked against apps like yours, plus a 90-day plan. And if your model has no recurring layer for the system to grow, the audit says that too — before you've spent anything.

Free · ~2 minutes · No credit card · Yours to keep
08

Frequently asked questions

Seven questions commerce and D2C app teams ask us — usually starting with whether they should be here at all.

We're a shopping app without a membership or subscription. Is AppDNA for us?+
Honest answer: probably not yet. AppDNA is subscription-first — it earns its keep growing recurring revenue: memberships, replenishment subscriptions, paid loyalty. Pure transactional shopping with no recurring layer is outside our best work, and the free audit will tell you that plainly. If you're considering a membership layer, though, that's exactly the experiment the system is built to run.
What if an experiment disrupts checkout — the one flow that pays for everything?+
It can't ship without you — every change the agents draft is approval-gated — and checkout completion can be a stop-loss on any experiment: an offer or flow that costs orders is withdrawn automatically, with instant rollback. The membership ask never gets to compete with the sale.
We run Braze and a loyalty platform already. Do we replace them?+
No — AppDNA reads your existing stack from day one, zero migration. What it adds is what a messaging tool structurally can't: building the in-app surfaces the messages point to, timing offers from order math, and connecting web checkout to app behavior in one pipeline. Over time you decide which subscriptions you still need.
Our engineers are consumed by catalog, payments, and logistics. How much do we pull them?+
About an hour, once, for the SDK. After that, membership offers, replenishment journeys, and onboarding variants ship from the console with zero App Store releases — growth stops queueing behind the logistics roadmap.
Does our order and conversion data end up informing other brands?+
Not identifiably, ever. Your workspace is isolated in code; your data never trains a shared model. You benefit from anonymized commerce patterns — like where membership offers typically clear — without your numbers, customers, or margins being visible to anyone.
Can it help us launch subscribe-and-save without annoying buyers who just want to buy?+
That's precisely a timing problem, and timing is the system's home turf: subscribe-and-save drafted as an offer at the moment a user's reorder pattern makes subscribing cheaper than repeating — not as a checkout checkbox everyone learns to skip. Tested at 10% traffic, guarded by checkout completion and opt-out rates, approved by you.
What if it doesn't move membership numbers — and what do we keep if we leave?+
Start with the free audit: it scores your monetization and retention modules against your category and names the biggest leak before you spend anything. Then judge shipped experiments, not promises — the first is live within 14 days of SDK install. Month-to-month on self-serve; your strategies, journeys, and experiment history are yours and exportable.

Missing your question? Ask us directly — a human replies within one business day.

See your app’s biggest leak — free, in 2 minutes.

Free · ~2 minutes · No credit card
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