How do you set up Adjust or AppsFlyer so the numbers don't lie?

Adjust vs AppsFlyer: how do you choose an MMP for your app?

Both are mature, both are trusted by every major network, and for most Gulf apps the honest answer is: either will work, badly or brilliantly, depending entirely on setup. Choose on practical grounds — pricing model (per-attribution pricing punishes high-volume, low-revenue apps; tier pricing punishes spiky growth), the integrations your stack needs, and what your team or agency already knows how to operate.

Two things matter more than the logo. First, commit early: switching MMPs later resets attribution history and re-opens every network integration, so it is a genuine migration project. Second, do not delay adoption — the day you buy installs from more than one network is the day you need a referee. Firebase or GA4 alone cannot arbitrate paid attribution across networks; that is not what they are for.

Which in-app events should you send to your MMP?

Networks optimize toward the events you send, so the taxonomy is a growth decision, not an engineering afterthought. Aim for 8–12 events that trace the money path, and send revenue with an explicit currency on every monetization event:

• The spine: install (automatic), registration_complete, onboarding_complete, and your app's core activation action.
• The money: add_to_cart or checkout_start where relevant, purchase with revenue and currency, and for subscription apps trial_start, trial_convert and renewal.
• One vertical-specific quality event — e.g. kyc_complete for fintech, first_listing_view for marketplaces — the earliest reliable predictor of a valuable user.
• Naming rules: lowercase snake_case, one identical name across iOS and Android, no version numbers in names, and a written definition for each event so nobody debates what 'activation' means in six months.
• Resist the everything-tracker: fifty events nobody optimizes toward is noise with a subscription fee attached.

How should attribution windows be configured?

Windows decide who gets credit, so inconsistency is invisible bias. A sane, widely used baseline: 7-day click-through and 24-hour view-through for attribution, applied identically to every network — if one channel keeps a 28-day window while others sit at 7, that channel 'wins' comparisons by configuration, not performance.

Set the re-attribution and reinstall windows deliberately too: they decide when a returning user counts as a new acquisition versus a re-engagement, which is exactly the line your win-back campaigns are judged on. And on iOS, know which numbers are probabilistic: for non-consented users, your MMP models attribution — fine for direction, but document it so nobody presents modeled numbers as deterministic truth. Write all window choices in one shared document; the config outlives whoever set it.

How do you get cost and ROAS into the MMP correctly?

Attribution without cost is half a measurement system. Connect each ad platform's cost API to the MMP so spend lands next to the installs and events it bought — that is what turns event counts into eCPI, cost per event and cohort ROAS you can actually allocate budget with.

Then verify two things monthly. Spend parity: the cost the MMP ingested should match each ad manager within a few percent — silent API breaks are common and go unnoticed for weeks. And currency sanity: the MMP reports in one app-level currency while ad accounts may bill in dollars, riyals or euros; if nobody checks which currency a number is in, your 'ROAS' can be off by the exchange rate and no one will know why the board deck looks odd.

What are the common gaps that make MMP data lie?

Almost every broken measurement stack we see fails in the same handful of places:

• Purchases fired only client-side: refunds, failed payments and duplicate taps all count as revenue. Send critical revenue events server-to-server from your backend.
• The same purchase counted twice — once by the app SDK, once by a web checkout or backend integration — inflating ROAS on every channel at once.
• Untracked channels: influencer links, CRM pushes or offline QR codes with no tracking links, silently inflating 'organic' and distorting every paid comparison.
• SKAN conversion values left at defaults, so iOS campaigns report installs but say nothing about quality.
• Deep links and web-to-app flows unmeasured, so your best-converting journey looks like organic magic.
• No validation loop: the monthly 15-minute check — MMP purchases vs backend orders, MMP spend vs ad managers, organic share trend — is what catches all of the above before it costs a quarter's budget.