For a decade the mobile measurement shortlist was three names, and all three priced like you had a procurement team. That is no longer the trade-off. A wave of leaner platforms now does the core job, attribution plus deep linking, without the enterprise tax, the seat limits, or the quote-only sales call.
This is not a knock on the incumbents. AppsFlyer, Adjust, and the rest earned their place and still lead on a few things. But the gap that once justified their pricing has narrowed to a sliver, and for most growth-stage or India-heavy teams the maths no longer favours them. This guide makes the case plainly: why legacy MMPs are no longer the default, why a lean MMP is the better bet going forward, and seven lean alternatives worth shortlisting, with an honest read on who each is for.
Why Legacy MMPs Are No Longer the Default
The case against defaulting to a legacy MMP is not about quality. It is about a pricing-and-packaging model built for a different era. Five structural problems show up again and again.
1. Opaque, quote-only pricing. Mobile measurement is one of the least transparent software categories in 2026: most incumbents make you take a sales call before they will share a single number. Quote-only pricing favours the vendor, not you, and it turns year-on-year budgeting into a guessing game. The newer platforms campaign against exactly this (Airbridge).
2. Deep linking sold as a separate product. Several incumbents treat attribution and deep linking as two SKUs, so you pay twice for what is really one workflow. That split also creates data gaps at the exact handoff (click to install to in-app screen) where you can least afford them. The case for one product is laid out in our look at the best deep linking tools for 2026.
3. The enterprise tax: seat limits, export fees, paywalls. The sticker rate is rarely the real cost. Per-seat charges, fees to export your own data, and advanced features locked behind a higher tier inflate the bill well past the headline. Many of the assumptions that keep teams overpaying are unpicked in our rundown of the MMP myths costing marketers money.
4. You pay for breadth you never use. The incumbents' biggest selling point, thousands of partner integrations, is real, but most teams use a handful of channels. Paying enterprise rates for an ecosystem you touch 5 per cent of is a poor trade for a focused team.
5. The capability gap has closed. The historical argument for legacy MMPs was that only they handled the hard parts: SKAN, fraud, deep linking. In 2026 those are table stakes across leaner tools too. iOS now points to AdAttributionKit as the primary path over SKAN, fraud filtering ships by default on most platforms, and deep linking is increasingly unified rather than bolted on. When the hard parts are commoditised, you are mostly paying for the brand.
None of this means the incumbents are bad. It means the premium is harder to justify than it was, and the burden of proof has flipped: a legacy MMP now has to earn its price against alternatives that do the core job for far less.
Why a Lean MMP Is the Better Bet Now
If the case against legacy is structural, the case for lean is too. A lean MMP is not just "cheaper AppsFlyer". It is a different operating model that fits how most teams actually work in 2026.
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Pricing aligns cost with value. Published, usage-based pricing means you pay for installs measured, not for seats or the privilege of exporting your own data. Budgeting becomes predictable.
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Unified deep linking and attribution. One platform, one data trail from click to revenue, no reconciliation between two products and two invoices.
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Privacy-native by design. The newer platforms were built after ATT, so deterministic-first attribution, SKAN, and AdAttributionKit support tend to be core rather than retrofitted, with Android's shifting privacy model treated as a first-class problem.
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Faster to live, faster to help. Lean tools typically integrate in hours, not weeks, and many offer support in your own timezone, which matters more day to day than a 10,000-partner directory.
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Open data, no lock-in. Unrestricted CSV, API, and webhook export means your historical data is yours, which also makes the next switch painless if you outgrow the tool.
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You can start free and scale. Generous free tiers let an early-stage app measure properly long before a legacy contract would even make sense.
The lean model is not the right answer for every advertiser. A global enterprise running hundreds of integrations may still need the incumbents' breadth. But for the long middle of the market, lean is now the sensible default, not the compromise.
What separates a real lean MMP from a cheap one
Cheap is easy. Cheap and credible is the bar. A lean MMP worth shortlisting should clear all of these without an upsell:
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Transparent, published pricing rather than "contact sales".
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Unified deep linking and attribution in one product.
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iOS AdAttributionKit support and a credible plan for Android's post-Privacy-Sandbox reporting.
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Fraud protection included, not a paid add-on.
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Open CSV, API, and webhook export.
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Fast SDK integration and responsive support.
These are also the questions that expose a weak product in a demo, which we expand on in our guide to the MMP demo questions that reveal product quality.
The 7 Lean Alternatives, Compared
| Platform | Leads on | Pricing model | Best for |
|---|---|---|---|
| Linkrunner | Unified deep linking + attribution | From ~$0.007 to $0.012 per install, 25k free | India-heavy, unified, low cost |
| SolarEngine | Attribution + built-in analytics | Transparent, free tier | Cost-conscious global teams |
| AppMetrica | Free analytics + attribution | Free, very high volumes | Earliest-stage budgets |
| Apptrove | India-built MMP | Affordable, scalable | India teams wanting a local option |
| Affise | Attribution + partner marketing | Freemium to ~10k MAU | Affiliate and partner-led teams |
| Tenjin | Ad-monetisation and LTV | Flat ~$200/month | Gaming and indie studios |
| Countly | Self-hosted, open-source | Self-host or licensed | Data-ownership and compliance |
Linkrunner
Linkrunner is an India-built MMP that unifies deep linking and attribution in a single platform, with every link dynamic and deferred by default. Pricing is published per attributed install (roughly $0.007 to $0.012), with 25,000 one-time free installs and no seat or export fees. It covers SKAN with a setup wizard, includes fraud protection at every tier, and ships an AI assistant that surfaces anomalies and optimisation prompts. SDKs span React Native, Flutter, native iOS and Android, Web, Expo, and Capacitor.
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Standout: unified deep linking plus attribution at the lowest per-install cost in this set, with India-first support.
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Watch-out: founded in late 2024, so the partner-integration directory is smaller than the incumbents'. A focused channel mix will not notice; a 200-integration setup might.
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Best for: India-heavy, growth-stage teams that want one platform for routing and measurement without the enterprise bill.
SolarEngine
SolarEngine pairs cross-channel attribution with built-in analytics and ROI modelling, aimed at teams scaling globally on a budget. Its free tier carries no per-seat fees and no charge to export data, and it bundles reporting and analytics that legacy tools usually gate behind higher tiers (pricing breakdown).
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Standout: analytics depth and transparent pricing in one place.
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Watch-out: it leans analytics-platform, so confirm the attribution feature set matches your channel mix before committing.
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Best for: cost-conscious global teams that want measurement and analytics together.
AppMetrica
AppMetrica is a free analytics-and-attribution platform used across tens of thousands of apps, bundling attribution, product analytics, push campaigns, and crash reporting in one interface (listing). The price is hard to beat: free, even at high event volumes.
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Standout: genuinely free, with a broad analytics suite attached.
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Watch-out: it is owned by Yandex, which is a data-residency and geopolitical consideration some teams will not accept. Weigh that against the zero price.
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Best for: earliest-stage teams with tight budgets that are comfortable with the ownership question.
Apptrove (by Trackier)
Apptrove is the MMP product from Trackier, an India-built platform with advanced attribution models and SKAdNetwork support (overview). Trackier's heritage is in performance and partner marketing, which shows up in flexible, rule-based attribution.
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Standout: India-built, with a local vendor relationship and strong performance-marketing roots.
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Watch-out: brand recognition outside India is still building, so check reference customers at your scale.
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Best for: India teams that want a local challenger with configurable attribution.
Affise
Affise Mobile Attribution offers full-funnel tracking of installs, events, re-engagements, and uninstalls, with SKAN and Facebook attribution and raw-data export, plus freemium access up to around 10,000 MAU (Capterra). It comes from a partner-marketing lineage, so it is strongest where affiliates and partners sit alongside paid UA.
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Standout: raw-data export and a free entry point, with deep affiliate and partner tracking.
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Watch-out: the partner-marketing heritage means it is less of a pure independent MMP; describe its role in your stack precisely.
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Best for: affiliate and partner-led teams that want attribution and partner management together.
Tenjin
Tenjin runs a flat fee of around $200 per month with all features, no sales call, and the freedom to cancel anytime (G2). Built around gaming and ad-monetisation, it is strong on LTV prediction and ad-revenue tracking, and processes very high event volumes.
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Standout: flat, predictable pricing and excellent ad-monetisation measurement for game studios.
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Watch-out: fraud detection and user segmentation are lighter than the incumbents, and the feature set is shaped for gaming first.
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Best for: gaming and indie studios that want a predictable bill and strong ad-revenue analytics.
Countly
Countly is a self-hosted, open-source platform that gives full data ownership, a strong fit for teams in strict regulatory environments such as GDPR, HIPAA, and India's DPDPA (comparison). It is analytics-led with attribution capability, and the licence model lets you run it entirely on your own infrastructure.
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Standout: complete data ownership and on-premise control.
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Watch-out: self-hosting means you carry the infrastructure and maintenance, and the attribution feature set is narrower than a dedicated MMP.
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Best for: privacy or compliance-bound teams that need data to stay in-house.
Transparent but not lean: Airbridge
Airbridge deserves a mention but not a place on this list. It is refreshingly transparent, around $0.05 per attributed install with roughly 15,000 free installs (pricing), and genuinely full-featured across web, PC, and console. But at four to seven times Linkrunner's per-install cost, it is a modern mid-market platform, not a budget one. Singular and Kochava are alternatives too, but remain enterprise-priced and quote-only.
Which Alternative Fits Which Team
Skip to your situation:
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India-heavy base wanting unified deep linking plus attribution at low cost: Linkrunner. As scale evidence, Jumbo Gaming has tracked Rs25 crore in revenue across 220+ campaigns on the platform, Matiks cut Meta CPI from Rs22.34 to Rs12.14 while scaling installs, and Stratzy lifted ROAS by 35 per cent in three months after migrating off Firebase Dynamic Links.
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Cost-conscious global team wanting analytics depth: SolarEngine.
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Earliest-stage team wanting the cheapest start (with the Yandex caveat): AppMetrica.
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India team wanting a local challenger with SKAN support: Apptrove.
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Affiliate and partner-led team wanting raw data: Affise.
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Gaming studio or indie wanting a flat, predictable bill: Tenjin.
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Privacy or compliance-bound team needing self-hosting: Countly.
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Team wanting a transparent but fuller mid-market platform, able to absorb a higher per-install cost: Airbridge.
If you are early and unsure whether to spend on measurement at all yet, our piece on why affordable MMPs are game-changers for small brands is the better starting point, and when to adopt an MMP sets the budget and scale thresholds.
What You Actually Save vs a Legacy MMP
The headline gap is not the per-install rate. It is the total cost once the extras are added.
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Legacy MMPs at scale often land in the Rs3 to 8 lakh per month band once you include deep linking, fraud, and export. A lean platform with published per-install pricing and no seat or export fees can cut that to a fraction.
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The cheapest sticker is not always the lowest total. Watch for overage rates, minimum monthly commitments, and features locked behind a higher tier.
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A free tier that covers your current volume (Linkrunner's 25k free installs, AppMetrica's free volumes, Affise's freemium MAU) can carry an early-stage app for months.
For a line-by-line breakdown across the major vendors, see our full MMP pricing breakdown.
Switching From a Legacy MMP Without Losing Data
A switch is worth it when the renewal quote no longer matches the value you get, or when you are paying separately for deep linking and attribution. It is not worth it mid-campaign or right before a peak season.
The principle that protects you is parallel running:
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Keep the old MMP live while the new one ingests the same events.
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Reconcile the two for a couple of weeks until the numbers agree within a tolerance you trust.
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Export your historical data before you close the old account, since some contracts restrict access after termination.
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Cut over, then decommission the old SDK in your next release.
The full sequence, including postback reconfiguration and historical data preservation, is in our MMP migration playbook.
FAQ
What is a legacy MMP?
A legacy MMP is an established, enterprise-priced measurement partner such as AppsFlyer, Adjust, Branch, Singular, or Kochava. They pioneered mobile attribution and remain capable, but increasingly compete with leaner, transparently priced platforms.
Why are lean MMPs gaining ground in 2026?
Because the capability gap has closed. SKAN, AdAttributionKit, fraud filtering, and deep linking are now table stakes across leaner tools, so the incumbents' premium is harder to justify for teams that do not need a vast partner ecosystem.
What is the best affordable alternative to AppsFlyer or Adjust?
It depends on your profile. For an India-heavy team wanting unified deep linking and attribution, Linkrunner is the natural pick. For the cheapest possible start, AppMetrica or Tenjin. For analytics depth, SolarEngine.
Are lesser-known MMPs as accurate as the big incumbents?
For core attribution on Android and iOS, the leaner platforms are competitive. The incumbents still lead on partner-integration breadth and the most mature fraud tooling, so weigh that against the cost difference for your scale.
Which MMP alternative is best for an India-based app?
Linkrunner offers India-first support and unified deep linking plus attribution, and Apptrove is another India-built option. Both avoid the enterprise pricing and seat limits common to the incumbents.
Can I switch off a legacy MMP without losing my historical attribution data?
Yes. Run the old and new MMP in parallel, reconcile for a couple of weeks, export your historical data, then cut over. Export before you close the old account, since some contracts restrict access after termination.
The Takeaway
The MMP decision is no longer "which of the big three can we afford". The incumbents are still capable, but their pricing-and-packaging model was built for an era when only they could handle the hard parts, and that era is over. For the long middle of the market, a lean MMP now covers attribution, deep linking, and fraud at a fraction of legacy pricing, with transparent costs and no lock-in.
The right one depends on your profile: your scale, your region, and whether you value analytics depth, a flat bill, or full data ownership. Match the tool to your situation rather than the loudest brand, and be honest about which "transparent" options, like Airbridge, are still premium.
If a unified, India-first platform with transparent per-install pricing fits your profile, request a demo from Linkrunner. A useful first step either way: pull your current MMP's true monthly cost, including deep linking and export, and compare it against the published rates above.
