ASOLOOP vs Adjust
ASOLOOP vs Adjust.
ASOLOOP isn't an alternative to Adjust — it consumes Adjust to denominate experiment confidence in revenue.
Verdict
ASOLOOP isn't an alternative to Adjust — it consumes Adjust to denominate experiment confidence in revenue. Keep Adjust for install attribution and post-install measurement; add ASOLOOP to decide and run what to test next on the store. The Adjust connector is live today.
Side by side
Where ASOLOOP and Adjust actually differ.
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| Capability | Adjust | ASOLOOP |
|---|---|---|
| Primary category | Mobile Measurement Partner (attribution + post-install analytics) | Operates the experiment loop + learning |
| Measures post-install revenue | Yes | Consumes the Adjust feed — doesn’t measure attribution itself |
| Install attribution | Native — core wedge | Not offered — ASOLOOP consumes Adjust-derived attribution |
| Decides the next experiment to run | No | Yes |
| Runs PPO / CPP / SLE / CSL on the store | No | Yes — PPO / CPP / SLE end-to-end; CSL send-for-review staged for you |
| Applies the winning variant for you | No | Yes — PPO / CPP / SLE; CSL send-for-review staged for you |
| Denominates experiment confidence in revenue | Raw attribution only — provides the inputs | Workspace revenue band from connected AppsFlyer revenue today, on the Teams-tier stakeholder dashboard; the Adjust revenue path and per-experiment CVR posterior → revenue range are in progress |
| Compounding evidence across experiments | Not applicable | Core product — per-app signal accumulation |
| AI traceability on every LLM-rendered surface | Not in scope | Evidence trail — every output source-traced + revocable |
| Adjust integration | Native data source | Live connector today — operator-authorized read-only cohort ingestion on Pro+ |
| Entry price | Tiered (usage-priced) | $49/app/mo Starter (3-app cap = $147/mo) · $89/app/mo Pro |
The right read of this table isn’t “ASOLOOP wins more checkmarks.” Adjust measures the install funnel after the user lands; ASOLOOP runs the experimentation cycle that decides what to put in front of it — and reads Adjust to denominate every result in revenue. The connector is live today, so the two stack rather than compete: one measures, the other decides what to test.
See all comparisonsWhat each tool is
Different questions, in one line each.
A Mobile Measurement Partner — install attribution, post-install event tracking, fraud detection, retention and LTV. The system of record for paid-acquisition unit economics and what your installs did after they landed.
An ASO experimentation system — it decides the next PPO / CPP / SLE / CSL test, generates the claim-safe creative, runs it on the store, applies the winner (CSL send-for-review staged for you), and reports the result in revenue. Adjust measures what your installs did; ASOLOOP decides what to test next and runs it.
When to pick which.
When you just need Adjust
Attribution is the question; you’re not running store experiments yet.
If your team is measuring where installs come from, what they did post-install, and whether the unit economics close — and you’re not running PPO / CPP / SLE / CSL cycles yet — Adjust alone is the right shape. ASOLOOP sits downstream of attribution; without an experimentation cadence, the compounding-evidence layer has nothing to compound from.
When you add ASOLOOP
You have the MMP, but the experimentation cycle still lives in spreadsheets.
Adjust answers “what happened with the installs that came in.” It doesn’t answer “what should we test next on the store listing to change what comes in.” That second question is what ASOLOOP is built for — it decides the next test, runs PPO / CPP / SLE / CSL (CSL send-for-review staged for you), and accumulates per-app evidence. Revenue denomination anchored to your Adjust data is in progress — the workspace revenue band rendered today reads from connected AppsFlyer revenue.
How they work together (the intended setup)
You run an experimentation program, you have an MMP, leadership reads revenue.
Adjust is the revenue-denomination source ASOLOOP will read for Adjust-attributed cohorts. ASOLOOP ingests aggregated Adjust cohort metrics through the live connector; today the rendered revenue figure is the workspace band on the Teams-tier stakeholder dashboard, computed from connected AppsFlyer revenue. Wiring the Adjust revenue path — so the number is anchored to your Adjust data, not a generic benchmark — and translating each hypothesis's CVR posterior into a revenue range on the card are both in progress. The two stack rather than compete; one measures, the other decides what to test and runs it.
Common questions
Questions buyers ask about ASOLOOP vs Adjust.
Is ASOLOOP an alternative to Adjust?
No — it consumes it. Adjust is a Mobile Measurement Partner that measures install attribution and post-install events; ASOLOOP is an experimentation system that reads Adjust cohort metrics to denominate experiment confidence in revenue. ASOLOOP doesn’t do attribution and doesn’t aspire to. The standard setup runs both.
How does ASOLOOP's pricing compare to Adjust?
Adjust is tiered usage-based pricing (sales-led for higher tiers). ASOLOOP is published per-app subscription pricing — $49/app/mo Starter (3-app cap = $147/mo) and $89/app/mo Pro. They’re additive, not substitutes: you keep paying Adjust for attribution and add ASOLOOP for the experimentation cycle.
Can I use ASOLOOP and Adjust together?
Yes — that’s the intended setup. Adjust is the revenue-denomination source ASOLOOP will read for Adjust-attributed cohorts. The connector is live today: ASOLOOP ingests aggregated Adjust cohort metrics; the workspace revenue band renders on the Teams-tier stakeholder dashboard today from connected AppsFlyer revenue, and both the Adjust revenue path and per-hypothesis revenue ranges on the card are in progress.
Is the Adjust connector available now?
Yes — it’s live today, alongside AppsFlyer, Branch, and Firebase Analytics. Connect Adjust during onboarding and its cohort metrics start flowing within minutes, with no re-onboarding needed later. Anchoring revenue denomination to your Adjust data is in progress — today the workspace revenue band reads from connected AppsFlyer revenue.
I already pay for Adjust — what does ASOLOOP add?
The experimentation layer above your MMP: it decides the next hypothesis, runs PPO / CPP / SLE / CSL on the store (CSL send-for-review staged for you), accumulates per-app evidence, and reports a revenue-denominated readout you can defend in a leadership review. Your Adjust data does more inside ASOLOOP than it does in isolation.
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