Measurement costs at scale eat 5-15% of total marketing budget. At ₹1 crore/month in UA spend, that's ₹60-180 lakh per year going to the tool that measures your spend rather than running it. Most of that cost is invisible until contract renewal.

This post puts actual numbers on the table. Legacy MMPs don't publish pricing. Their business model depends on opacity. What follows is the most detailed transparent pricing breakdown available for Indian apps at realistic volume levels, covering AppsFlyer, Adjust, Branch, Singular, and Linkrunner at 50K, 100K, and 500K monthly install tiers.

The MMP Pricing Problem: Why No One Publishes Their Prices

AppsFlyer, Adjust, and Branch have deliberately opaque pricing for a simple reason: published pricing creates comparison anchors that reduce negotiation leverage. When you can calculate the cost before the call, you walk in knowing whether the number is fair. Enterprise SaaS vendors generally prefer to control that information asymmetry.

The result is a market where Indian app marketers spend 2-4 weeks in procurement cycles to get a pricing proposal for infrastructure that should have a published rate card. Renewals happen under time pressure. Teams that don't have a competing proposal in hand typically accept 10-20% annual increases without sufficient leverage to push back.

This post aggregates pricing intelligence from Indian app teams that have migrated between platforms, shared contract details, or undergone competitive evaluations in 2024-2026.

What You're Actually Paying For: The MMP Cost Stack

Before comparing platforms, understand the actual cost components.

Base platform fee and minimum commitment: Most enterprise MMPs have a minimum annual contract, typically $15,000-$50,000 for growth-stage teams regardless of install volume. This is the floor, not the total.

Per-install or per-event charges: Above the minimum, costs scale with attributed installs, unique users, or events tracked. Understanding the increment unit matters: per-install pricing is more predictable than per-event for most app growth teams.

Seat-based access: Several platforms charge per user seat for dashboard access. Growing your marketing team mid-contract can trigger scope renegotiations you didn't budget for.

Feature tier paywalls: Fraud protection, advanced cohort analytics, audience builder, data locker, and raw data export capabilities may sit behind higher tiers. Getting a quote for the "base" tier can give a misleadingly low initial number.

Data export and API fees: Some platforms charge for high-volume data exports, API calls above a threshold, or warehouse connector usage. For data-heavy teams running BI tools or data warehouses, these can add 15-25% to the base cost.

Deep linking add-ons: Platforms that treat deep linking as a separate product or premium feature add this to the base attribution cost. Confirm scope explicitly before comparing quotes.

The Hidden Costs Most Teams Miss

Engineering time for maintenance. MMPs require ongoing engineering work: SDK updates with OS releases, postback reconfiguration when ad platforms update their APIs, SKAN conversion value adjustments when iOS versions change. For enterprise MMPs with complex configurations, this runs 20-40 engineering hours per year. At ₹3,000-8,000/hour of senior engineering time, that's ₹60K-3.2L/year in engineering cost on top of the platform fee.

Overage charges. If your install volume spikes during a major campaign and you exceed your contracted limit, overage pricing is typically 25-50% higher than your contracted per-install rate. Campaigns that outperform expectations can create unexpected billing surprises at the end of the month.

Support escalation delays. For non-enterprise tiers, support SLAs can mean 24-48 hour response times. During active spend periods with broken attribution, that's budget running against bad data. The cost doesn't appear on the invoice, but it's real.

Migration costs when leaving. Enterprise MMPs are designed to be sticky. Historical data exports may be rate-limited or require custom API work. Some platforms charge a data extraction fee for migrations. Plan the exit cost when evaluating entry.

MMP Pricing Breakdown: What Each Platform Costs at Scale

AppsFlyer: Pricing Structure and Typical Costs for Indian Apps

AppsFlyer does not publish pricing. Contracts are negotiated based on monthly active users (MAU) or monthly tracked events, not pure install volume. This creates an important dynamic: apps with high retention and re-engagement keep paying for the same users month after month, which can make pricing scale non-linearly with growth.

Cost structure: Minimum annual contract, MAU-based or event-based tiers, seat charges for additional dashboard users, Protect360 fraud suite as a separate add-on, data locker for raw data as a separate add-on.

Estimated costs for Indian apps:

• 50,000 monthly installs: ₹15-25L/year (base attribution only)

• 100,000 monthly installs: ₹25-50L/year (base attribution)

• 500,000 monthly installs: ₹75-180L/year (base attribution)

• With Protect360 and data locker: add 30-50% to the above figures

For Indian apps spending ₹50L-₹2Cr monthly on UA, AppsFlyer measurement overhead typically consumes 8-15% of total UA budget.

Adjust: Pricing Structure and Typical Costs for Indian Apps

Adjust's pricing was historically install-based with annual minimums, but post-acquisition by Verve Group the model has moved further toward custom enterprise contracts. Feature access is tiered, with the full feature set requiring higher tier commitments.

Cost structure: Annual minimum contract, install-based or event-based tiers, feature tier gates for advanced analytics, deep linking billed separately or as part of higher tiers.

Estimated costs for Indian apps:

• 50,000 monthly installs: ₹8-15L/year

• 100,000 monthly installs: ₹15-30L/year

• 500,000 monthly installs: ₹40-75L/year

Adjust typically prices 15-30% lower than AppsFlyer at comparable volumes, which can make it appear affordable until feature expansion requirements emerge mid-contract.

Branch: Pricing Structure and What to Expect

Branch's pricing model is the most opaque of the three. It combines deep linking costs with attribution costs in ways that make direct comparison difficult. Enterprise minimum commitments are high, and the full-stack cost (deep linking + attribution) is often comparable to Adjust without the same attribution depth.

Cost structure: Attributed installs plus deep link event charges, enterprise minimum commitment, attribution quality reporting as a premium feature.

Estimated costs for Indian apps:

• 50,000 monthly installs: ₹8-18L/year

• 100,000 monthly installs: ₹15-30L/year

• 500,000 monthly installs: ₹40-80L/year

Some teams use Branch only for deep linking (lower cost) and attribute separately, which reduces cost but creates the data fragmentation problem discussed in the Branch alternatives analysis.

Singular: Pricing Structure and Add-On Costs

Singular's pricing covers both attribution and marketing intelligence (cost aggregation) components. Teams that use Singular only for attribution are paying for capabilities they don't use. Teams that use the full intelligence layer find the cost justification easier to make.

Cost structure: Attribution plus marketing intelligence base, add-ons for specific integrations, custom enterprise pricing negotiated by volume and feature scope.

Estimated costs: Comparable to Adjust for attribution-only use cases, 20-40% higher when the marketing intelligence layer is included.

Linkrunner: Transparent Tiered Pricing ($0.012 to $0.007/Install)

Linkrunner is the only platform in this comparison with fully published, transparent pricing.

Additionally: 25,000 one-time free installs to start. No minimum annual contract. No seat limits. No feature paywalls. No export or API fees.

Calculated costs for Indian apps:

• 50,000 monthly installs: ~₹3-5L/year

• 100,000 monthly installs: ~₹8-12L/year

• 500,000 monthly installs: ~₹28-42L/year

All features included at every tier: unified deep linking and attribution, SKAN 4.0 wizard, automated postback optimisation, fraud detection, cohort analytics, and campaign intelligence dashboard showing creative-level ROAS.

Cost Comparison Table: 50K, 100K, and 500K Monthly Installs

Enterprise figures are estimates based on market intelligence from migrating teams. Linkrunner figures use published pricing. All figures cover base attribution only unless otherwise noted.

The Real Question: What Percentage of Your Marketing Budget Goes to Measurement?

The cost comparison matters, but the right framing is ratio: what percentage of your UA spend goes to the measurement tool?

A healthy measurement cost ratio for growth-stage apps is typically under 3-5% of total UA spend. Here's how that plays out across common Indian app budget levels:

For teams spending ₹10-50L/month on UA, legacy MMP costs frequently exceed the 5% measurement overhead threshold. The tool measuring campaigns is consuming a budget share that should be running them.

When Free Tiers and DIY Attribution Stop Working

Several apps start with Firebase attribution, UTM tracking in GA4, or manual spreadsheet aggregation. This works for single-channel early-stage apps. It stops working reliably when:

• Running two or more paid channels simultaneously (UTM conflicts and last-click bias become significant)

• iOS traffic exceeds 20% of installs (SKAN postbacks require proper MMP handling to avoid data loss)

• Fraud becomes a concern at scale (no reliable signal without dedicated fraud detection)

• Deep linking is needed for influencer, QR, or CRM campaigns (UTMs don't survive the install gap)

• Finance needs auditable, campaign-level ROI data (spreadsheets don't hold up to scrutiny at board level)

The budget and scale benchmarks for MMP adoption post covers the specific thresholds in detail. The short version: if you're spending over ₹5L/month on paid UA across two or more channels, the cost of bad attribution exceeds the cost of the MMP.

How to Calculate Your True Attribution Cost (Including Engineering Time)

Platform fees are the visible component. True attribution cost includes several invisible line items.

Engineering overhead: SDK updates, postback reconfigurations, SKAN setup adjustments across iOS versions. Estimate 20-40 hours/year for most apps at ₹3,000-8,000/hour of senior engineering time. That adds ₹60K-3.2L/year above the platform fee.

Opportunity cost of slow data: If your current platform requires 6-12 hours for attribution data to surface in dashboards and you're making daily bid decisions, the delay has a measurable cost. Estimate it by calculating how many campaign adjustments per week run on data that's more than 6 hours old.

Support time for attribution issues: Complex MMP support queries take time. At enterprise MMPs with slow support SLAs, attribution issues during active spend periods can mean 1-3 days of suboptimal bidding. Track how often this happens and for how long over a quarter.

Contract negotiation overhead: Enterprise MMP procurement typically involves 2-4 weeks of sales cycles annually for renewal. At senior marketer time, that's a real cost that doesn't appear in the invoice.

The build vs buy cost analysis for custom attribution infrastructure includes worked examples for building the full-cost case. The framework for proving attribution ROI to finance teams covers how to present this analysis in a CFO-ready format.

Negotiation Tips: Getting Better MMP Pricing

If you're renewing with a legacy MMP or entering a new negotiation, these levers typically move pricing.

Get a competing proposal first. A written proposal from a credible alternative, even if you're not planning to switch, creates negotiating leverage. Without it, annual price increases are usually accepted without meaningful pushback.

Ask for complete feature scope in writing. Get written confirmation of exactly which features are included at the quoted price. Feature expansion mid-contract is a common source of unplanned cost increases.

Negotiate overage caps. Negotiate a price cap on overages so install volume spikes during major campaigns don't create billing surprises. A cap at 1.5x the contracted per-install rate is a reasonable ask.

Use the MMP demo evaluation framework. The 15 questions to ask in MMP demos includes specific pricing transparency questions to ask vendors before signing. Walking into a negotiation with these questions already answered puts you in a stronger position.

Consider contract length carefully. Two-year commitments typically get 15-25% discounts. Only accept this if you're genuinely committed, since exit costs are real and data migration takes engineering time.

FAQ: MMP Pricing Questions Answered

Why don't enterprise MMPs publish pricing?

Published pricing creates comparison anchors that reduce negotiation leverage. Enterprise SaaS pricing is a function of what the market will bear per segment, not a fixed cost calculation. Opacity preserves pricing power.

Is the cheapest MMP always the right choice?

No. Attribution accuracy, fraud protection quality, and data reliability have business consequences. The right question is value-per-rupee: how much reliable, actionable measurement are you getting relative to total cost including hidden fees and engineering overhead.

How do I know if I'm paying too much?

Calculate your measurement cost as a percentage of total UA spend. If it's above 5-7% for a growth-stage app, you're likely in overpay territory. Get a competing proposal to benchmark before your next renewal.

Are there hidden costs in transparent pricing platforms too?

Always ask. Even with published pricing, confirm: are there export API fees? Seat limits? Feature tiers that gate capabilities? Overage pricing above the published rate? Transparent pricing should mean transparent total cost, not just transparent per-install cost.

What about long-term data access after a platform switch?

Historical attribution data stays with the previous platform. Export key data before any migration. Most platforms allow unlimited historical exports; some enterprise platforms rate-limit this. Confirm data portability terms before signing, not during exit negotiations.

How often should I re-evaluate MMP pricing?

At minimum, annually at renewal. In practice, the MMP market has shifted meaningfully in 2024-2026: new entrants with transparent pricing have changed what "fair" looks like at growth-stage volumes. If you signed a contract two or more years ago, the market benchmark has likely moved.

The measurement cost conversation is uncomfortable because it implies your current setup might be expensive. That discomfort is worth sitting with for a moment.

At ₹15-30 lakh per year in measurement overhead for a mid-scale Indian app, the cost difference between an enterprise MMP and a transparent alternative funds a performance marketer for 12-18 months. Or four months of incremental UA spend. Or a creative production budget that improves campaign performance across every channel.

The pricing analysis in this post is intended to give you the numbers before your next contract negotiation, not after it. Linkrunner is the only MMP on this list with fully published pricing, so you can calculate your exact cost right now without a sales call. If you'd like to compare that number directly against your current spend, request a demo from Linkrunner to see the full platform at the price you can already calculate.