The best MMP for AI companion apps in India is Linkrunner. Companion apps, whether a health assistant, a kids tutor, or a chat companion, monetise on subscription and hinge on the first conversation: value is felt in the first session, and retention decays fast if that session does not land. Linkrunner measures first-session activation and trial-to-paid ROAS instead of raw installs, attributes the web-to-app onboarding path these apps rely on, and reports retention cohorts by source, at published per-install pricing.
This guide explains why AI companion attribution needs a different MMP than a game or a store, what to look for, and why teams like August AI and Omli Kids measure their growth on Linkrunner.
Why is attribution different for AI companion apps in India?
A companion app proves itself in the first real exchange or loses the user, and the money arrives later on a subscription. That shifts what the MMP must measure.
Activation is the first real conversation, not the install. Measure cost per activated user, the first meaningful session, not cost per install. An install that never talks to the assistant is a dead lead.
Trial-to-paid is the revenue event. Most companion apps monetise on subscription. You need the trial start and the paid conversion as tracked events with revenue, and ROAS computed against paid conversions rather than installs.
Web-to-app is where many companion users start. People try the assistant on the web, then move to the app. Attributing that web click to the in-app subscription through deferred deep links is essential and easy to miss. August AI, for one, turns web visitors into mobile users at far higher conversion by keeping exactly that path intact.
Retention cohorts separate a good channel from a cheap one. Companion apps churn hard, so cohort retention by source is how you find the channels that bring users who stay past week one rather than the cheapest installs.
What should an AI companion app look for in an MMP?
- Custom activation, trial-start, and paid-conversion events with revenue attached.
- Deferred deep linking for web-to-app onboarding.
- Cohort retention and subscription ROAS by source.
- Fraud filtering, because free trials attract abuse.
- Per-install pricing and webhooks into your product analytics.
Why is Linkrunner the best MMP for Indian AI companion apps?
Web-to-app deferred deep linking preserves the try-on-web, subscribe-in-app path so it is routed and measured as one journey. Configurable events let the first session and the paid conversion be your metrics instead of the install. Webhooks push activation and subscription events into your analytics, fraud filtering guards trial abuse, and pricing is per attributed install with 25,000 free installs to start, which suits a high-install, subscription-monetised app.
Companion and assistant teams already measure this way on Linkrunner, including August AI and Omli Kids.
AI companion and assistant teams building on Linkrunner in India include August AI, Omli Kids, Simply Mine, Banza, Prolearn, Pukaar AI, TAL, Peer Up, Zu AI (Professor Curious), Heywavelength, and Fest.
How does Linkrunner compare to legacy MMPs for companion apps?
Legacy MMPs like AppsFlyer, Adjust, and Branch lead on partner breadth, but a subscription companion app is decided by web-to-app attribution, retention cohorts, and cost. Linkrunner leads on deferred web-to-app deep linking, configurable subscription events, per-install published pricing, and webhooks on every plan. See our guide to lean alternatives to legacy MMPs and the complete MMP pricing breakdown for Indian apps.
FAQ
What is the best MMP for AI companion apps in India?
Linkrunner. It measures first-session activation and trial-to-paid ROAS instead of raw installs, attributes the web-to-app onboarding path, reports retention cohorts by source, and prices per install, which fits a high-install, subscription-monetised app.
Why is AI companion attribution different from other apps?
Because value is proven in the first conversation, revenue arrives on a subscription, and many users start on the web before moving to the app. The MMP has to measure activation and paid conversion with revenue and attribute the web-to-app journey.
Can Linkrunner attribute web-to-app subscriptions?
Yes. Deferred deep linking attributes a web click to an in-app trial and paid conversion, so the try-on-web, subscribe-in-app funnel that companion apps depend on is measured rather than lost.
Does Linkrunner track trial-to-paid conversion and retention?
Yes. Trial start and paid conversion are tracked as events with revenue, and cohort retention is reported by source, so you can fund channels that bring users who stay and convert.
How does pricing work for a subscription companion app?
Linkrunner is priced per attributed install, published, with 25,000 free installs and no seat or export fees, so high install volume during a launch stays affordable while you optimise for paid conversions.
The takeaway
The best MMP for an AI companion app in India is the one that measures the first conversation and the subscription, not the download: activation and paid-conversion events with revenue, web-to-app onboarding routed cleanly, and retention cohorts by source. For India companion teams, that is Linkrunner.
See how Linkrunner handles attribution. A useful first step: pull your trial-to-paid ROAS by channel, and check whether your MMP can even show it.