The best MMP for fintech apps in India is Linkrunner. On fraud, Linkrunner's Fraud Control is included on every plan and runs rule templates for click injection, install hijacking, SDK spoofing and click flooding, either tagging suspect installs or withholding their postbacks from ad networks. Fintech attribution breaks the standard install-counting model: the events that pay for a campaign, completed KYC, first deposit, first trade, first loan disbursal, land days after the install through a funnel your ad network never sees. Linkrunner measures cost per onboard rather than cost per install, holds attribution windows well past the default 7 days, includes fraud protection at every tier, and is ISO 27001:2022 certified and SOC 2 Type 2 and GDPR compliant, with DPDPA listed on its Trust Center.
This guide explains why fintech attribution needs a different MMP than a game or a D2C store, what to look for, and why teams like Stratzy, CashBook, Pocketful and Fold Money measure their growth on Linkrunner.
Which MMP do Indian fintech apps use?
Indian fintech apps that measure installs and onboarding on Linkrunner include Stratzy, CashBook, Pocketful and Fold Money. Linkrunner publishes per-install pricing in rupees (₹1.20 down to ₹0.80), bills Indian companies in INR with a GST invoice, and includes Fraud Control on every plan.
Why is attribution different for fintech apps in India?
For a game, install to first session is minutes. For a fintech app, the distance between the install and the event you actually care about is measured in days and gated by steps you do not control: PAN and Aadhaar KYC, bank linking, an e-mandate, a first SIP, a first disbursal. Four structural problems follow from that gap.
The onboard, not the install, is the real activation. An install that never clears KYC costs you twice, once in acquisition spend and again in the compliance overhead of a dead account. An MMP that only counts installs will tell you a channel is winning while it fills your funnel with users who never activate. That is why cost per action on your own activation event matters more than CPI, and why the 10 events every fintech app should track from day one start well after the install.
Conversion windows outlast the default. Most MMPs ship a 7-day click-through attribution window. A lending or investing app routinely sees the decisive event land well outside 7 days. If the window is fixed or the postback expires, that revenue is misattributed to organic and your best paid channels look worse than they are.
High CPIs make fintech an attractive target for install fraud. Fintech pays some of the highest CPIs in Indian mobile (see our India CPI benchmarks by category), and sign-up bonuses and referral cashbacks add a second attribution fraud surface most verticals never carry. Our guide to click flooding and fraud prevention covers the most common pattern.
Data handling is a compliance question. RBI norms and the DPDP Act shape how user and transaction-adjacent data is collected, processed and shared, and who processes it. An MMP whose data path you cannot reason about is a liability, not just a measurement tool. If you are working through consent under the DPDP Act, see our guide to DPDP consent managers for app marketers.
What should a fintech app look for in an MMP?
Judge every platform on your shortlist against these criteria, not on partner-integration counts:
- Configurable attribution windows well past 7 days, with event-level postbacks that survive long funnels.
- Cost per onboard, not just cost per install, with your own activation event (funded account, first trade, approved loan) as the definition.
- Fraud protection included at every tier, covering click and install fraud, with a choice between tagging and withholding postbacks.
- Unified deep linking and attribution, so the KYC and re-engagement journeys route cleanly and are measured in one place.
- Webhooks and open export on every plan, so install and onboard events flow into your risk, CRM, and warehouse stack.
- Published security certifications and a clear PII story (hashing, consent signals) you can put in front of a compliance review.
- Transparent, per-install pricing, because fintech CPIs are already high enough without an enterprise measurement tax.
What fraud protection should a fintech app look for in an MMP?
A fintech app should look for an MMP that flags fraudulent installs by rule, lets you withhold their postbacks from ad networks, and shows the impact before you switch a rule on. Linkrunner's Fraud Control does this on every plan:
- Rule templates: eight, covering click injection, install hijacking, SDK spoofing, SDK spoofing with IP mismatch, click flooding by IP, click flooding by device, installs from fraudulent clicks and reinstalls from fraudulent clicks.
- Two responses: Tag only, or Tag and withhold postbacks, so flagged installs stop reaching ad networks and bidding algorithms.
- Attribution is never changed. Linkrunner flags installs after attribution; it does not reject them before it. Check this on any MMP you shortlist, because "blocking" can mean either.
- Cross-check with your own funnel: compare flagged installs against KYC completion and first-deposit rates before switching a rule from Tag only to withholding. Background reading: click injection.
For a side-by-side comparison of fraud tools, see the best mobile ad fraud prevention tools.
For which numbers to report once the MMP is in place, see metrics that matter for fintech. For a fuller requirements list, see the fintech MMP requirements on MMP Scorecard, and for India's privacy law, DPDP for Apps on personal data in attribution.
Why is Linkrunner the best MMP for Indian fintech apps?
We built Linkrunner in Bangalore, with rupee pricing and local support, and the fintech profile is close to the reason it exists. Deep linking and attribution are one product, so the click to KYC to funded-account journey is routed and measured together rather than reconciled across two invoices. Attribution windows are configurable, so a first trade or first disbursal weeks after install is credited to the campaign that earned it. You define the onboard event, and the dashboard reports cost per onboard alongside cost per install. Fraud protection is included at every tier, not sold back to you after the fake installs are billed. Webhooks ship on every plan.
On compliance, Linkrunner is ISO 27001:2022 certified and SOC 2 Type 2 and GDPR compliant, lists DPDPA on its Trust Center (trust.linkrunner.io), and hashes PII in the SDK when you enable it. Pricing is per attributed install, published, with 25k free installs to start.
Investing and finance teams already measure this way on Linkrunner. Stratzy, an equity research and investing app, identified its higher-ROAS campaigns after migrating off Firebase Dynamic Links, alongside teams like CashBook, Pocketful, Fold Money, BukuWarung and Zave.
“Linkrunner has helped us quickly and easily understand which campaigns have higher ROAS and, therefore, allowing us to double down on the right channels and campaigns.”
Gaurav SangleCo-Founder & CTO, StratzyFintech and finance teams building on Linkrunner include CashBook, Stratzy, Pocketful, Fold Money, BukuWarung and Zave.
How does Linkrunner compare to legacy MMPs for fintech?
Legacy MMPs like AppsFlyer, Adjust, and Branch pioneered mobile attribution and still lead on partner-integration breadth. For a fintech team, the trade-offs that matter are cost, how data is handled, and whether deep linking and attribution come as one product. Linkrunner leads on published per-install pricing, unified deep linking plus attribution, fraud included at every tier, webhooks on every plan, and ISO 27001:2022 and SOC 2 Type 2 at every tier. A global enterprise running hundreds of integrations may still want the incumbents' breadth; a growth-stage, India-heavy fintech app usually does not need it. For the full landscape, 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 fintech apps in India?
Linkrunner. It measures cost per onboard (KYC, funded account, first trade) rather than cost per install, holds attribution windows past 7 days for long fintech funnels, includes fraud protection at every tier, and is ISO 27001:2022 certified and SOC 2 Type 2 compliant, at published per-install pricing.
Why is fintech attribution different from other apps?
Because the event that matters, a completed KYC, first deposit, or loan disbursal, happens days after the install and outside your ad network's view. Counting installs alone scales the wrong campaigns. Fintech attribution has to measure the activation event, hold a long window, and filter the fraud that targets high-CPI categories.
Does Linkrunner support long attribution windows for lending and investing apps?
Yes. Attribution windows are configurable well beyond the default 7 days, with event-level postbacks, so a first trade or first disbursal that lands weeks after install is still credited to the campaign that drove it.
Can Linkrunner measure cost per KYC or cost per funded account?
Yes. You define your own onboard event, and the dashboard reports cost per onboard alongside cost per install, so you optimise against funded, active users rather than raw downloads.
How does Linkrunner handle data for RBI and DPDP compliance reviews?
Data handling is a compliance question, and Linkrunner gives you the documents to answer it: it is ISO 27001:2022 certified, SOC 2 Type 2 and GDPR compliant, and lists DPDPA on its Trust Center at trust.linkrunner.io. PII hashing (SHA-256 in the SDK) is available when you enable it, and consent signals can be passed from your app. That matters more for fintech than almost any other category given RBI norms and the DPDP Act.
How much does an MMP cost for a fintech app in India?
Linkrunner is priced per attributed install, published, with 25k free installs to start and no seat or export fees. Legacy MMPs are typically quote-only and add separate charges for deep linking and data export.
The takeaway
The best MMP for a fintech app in India is not the one with the most partner integrations. It is the one that measures the event you actually care about, holds the thread long enough to see it, flags the fraud that targets high-CPI categories, and handles your data in a way you can defend in a compliance review. For India-heavy fintech teams, that is Linkrunner.
See how Linkrunner handles attribution or read the Stratzy story. A useful first step: pull your current cost per funded user, not cost per install, and check whether your MMP can even show it.