AppsFlyer vs Adjust vs Singular: Pricing & MMP Guide

A mobile measurement partner connects marketing activity with app launches and subsequent actions under defined attribution rules. It helps a team compare channels, receive partner postbacks and analyse cohorts. Attribution is an allocation of credit, not proof that the user would never have installed without the advertisement.

An MMP is useful when your team needs consistent reporting across multiple paid sources, partner integrations, deep links or data exports. A small team using one channel may initially work with its store, product analytics and advertising reports. There is no universal media-spend threshold at which an MMP becomes mandatory.

Before evaluating vendors, write down the decision you cannot currently make: which campaign produces activated users, which source brings paying customers, or why reported spend and revenue disagree. That decision should determine the demo and acceptance test.

All three vendors offer mobile attribution and reporting. We do not rank one as the most accurate without a controlled test on the same app, events and settings. Use this evaluation matrix in each demonstration.

Shortlist AppsFlyer if its partner workflow and data products fit your stack; evaluate Adjust against the same integrations and operational requirements; include Singular when spend consolidation and ROI reporting are central to the brief. These are evaluation starting points, not exclusive capabilities or an endorsement of a universal winner.

Apple documents three SKAdNetwork 4 conversion windows: days 0–2, 3–7 and 8–35. A winning attribution can produce up to three postbacks. The first window may provide a fine conversion value from 0 to 63; coarse values and privacy conditions limit the detail available. A conversion window is not the same as the time the postback reaches your dashboard.

Ask each vendor to show its current SKAdNetwork and AdAttributionKit documentation for your SDK version and intended networks. Decide who owns conversion-value updates; conflicting implementations can make a carefully designed schema unreliable. Document how missing values, delayed postbacks and modelled estimates appear in reports.

Do not purchase on a generic “privacy-ready” claim or assume that an Android roadmap feature is available in your production stack. Verify current support with the vendor and advertising partner before including it in a launch dependency.

Read Apple’s conversion-window documentation and our AdAttributionKit and SKAdNetwork guide for context.

Public pricing checked on 9 September 2026. The following is a snapshot of vendor pages, not a negotiated quote. Confirm eligibility, billing definitions and current terms directly.

For an illustrative 100,000 billable conversions, multiplying the listed rates gives $7,000 at $0.07 or $5,000 at $0.05 before allowances, discounts, taxes and extras. This is arithmetic, not a like-for-like total cost comparison. Vendors may define billable conversions differently.

Send every vendor the same forecast: paid installs, reattributions, platforms, networks, apps, export needs and support requirements. Request base, expected and high-volume quotes. Include engineering time and migration work in your decision rather than choosing solely on the advertised unit rate.

• Subscription apps: test trials, first payment, renewals, cancellations and refunds. Agree whether revenue means gross receipts or net proceeds.
• Gaming: verify your actual networks, progression events, purchase revenue and ad-revenue ingestion. Demonstrate a cohort report for each revenue stream.
• Commerce and fintech: define a meaningful completed action, account for reversals and agree what data may be shared with partners. A registration is not necessarily an acquired customer.
• India-focused apps: reconcile INR spend with other reporting currencies, compare states or languages only where the data supports it, and confirm support coverage for your working hours.

Have the person who will use the report attend the demo. A useful acceptance criterion is that they can answer one real budget question using the exported data, without a vendor representative assembling the answer for them.

Use the events your product needs; there is no universal requirement to send five events. Avoid manually duplicating an SDK’s first-launch measurement as a second install conversion.

1. First launch: check the SDK’s documented install or first-session behaviour on a test device, including reinstall handling.
2. Activation: choose a meaningful completed action such as a verified registration or first completed task. Document the trigger precisely.
3. Purchase: validate amount, currency and transaction identifier against your backend or store record. Test duplicate delivery.
4. Subscription lifecycle, if applicable: distinguish a free trial from a paid start and renewal; define refund handling.
5. Retention: establish the activity and cohort rules used for D1, D7 or later retention reports.

Record the internal event name, vendor mapping, partner mapping, trigger, owner and revenue fields in an event dictionary. Test both successful and cancelled flows. Confirm an event appears once in your source of truth before enabling its partner postback.

Begin with a small campaign and a shared reporting interval. A discrepancy alone does not demonstrate fraud or a broken SDK.

1. Align the timezone, currency, date basis and reporting period.
2. Compare click and view windows, reattribution rules, and included platforms.
3. Separate first launches from store downloads and reinstalls.
4. Check consent, privacy thresholds, late postbacks and modelled data.
5. Inspect event mapping and whether the SDK and server both send the same purchase.
6. Reconcile spend separately from attributed conversion counts.

Keep the original exports and a change log. If the mismatch persists, give support a reproducible test with timestamps and the relevant integration settings, using their secure support process. Do not send personal customer data in an ordinary shared spreadsheet.

A migration needs an agreed cutover plan with both vendors and your active advertising partners. Historical attribution is not automatically recreated in a new dashboard.

1. Inventory SDKs, server events, deep links, network postbacks, audiences and exports.
2. Secure permitted historical exports and confirm access after cancellation in writing.
3. Define how existing users and reinstalls will be recognised by the new integration.
4. Test the new release, event values and deep-link routes before expanding rollout.
5. Agree which integration sends optimisation events to each partner at every stage.
6. Annotate the cutover in reports and compare like-for-like cohorts during validation.

Do not activate two competing purchase postbacks or conversion-value updaters as a default migration tactic. Any period of overlapping SDKs needs vendor-approved configuration and clear ownership. The schedule depends on release adoption and integration complexity, not a fixed four-week rule.

Start with pass/fail requirements: your essential channels, validated revenue, required exports and affordable contract terms. Only score vendors that pass them.

For the shortlist, assign weights based on your team’s needs. An illustrative scorecard gives 30% to measurement and integrations, 25% to reporting and data access, 20% to total cost, 15% to implementation, and 10% to support. Change these weights before the demos, then score each vendor against the same evidence.

Finish with a written decision: what problem the tool solves, who owns implementation, what remains unsupported and when you will review the outcome. If you need help defining that brief, our app analytics service covers measurement planning, while user acquisition management connects the reporting to campaign decisions.