ASOLOOP vs SplitMetrics
ASOLOOP vs SplitMetrics.
Pick ASOLOOP if you want the experimentation loop run on the live store and compounded into the next test — proposed, launched, applied, and reported in revenue.
Verdict
Pick ASOLOOP if you want the experimentation loop run on the live store and compounded into the next test — proposed, launched, applied, and reported in revenue. Keep SplitMetrics for fast pre-launch creative validation and enterprise-scale Apple Search Ads automation; the two run sequentially, not against each other.
Side by side
Where ASOLOOP and SplitMetrics actually differ.
Swipe to compare
| Capability | SplitMetrics | ASOLOOP |
|---|---|---|
| Primary category | Pre-launch validation + ASA automation | Operates the experiment loop + learning |
| Runs PPO / CPP / CSL on the store | Pre-launch only — off-store hosted variants | Yes — automation handles all four surfaces end-to-end on the live listing |
| Applies the winning variant for you | No | Yes |
| Compounding evidence across experiments | None — content only | Core product — per-app signal accumulation |
| Apple Search Ads bid automation | Native — SplitMetrics Acquire is purpose-built | Not offered — consumes ASA creative IDs as a routed-traffic identifier only |
| AI traceability on every LLM-rendered surface | Not claimed | Evidence trail — every output source-traced + revocable |
| Post-install signal precision tiers | No | Yes |
| Pre-launch precision preview | Not provided | Precision class shown at experiment-create time |
| Revenue-denominated confidence | CVR-only (install-tap rate on a hosted page) | Workspace revenue band from your connected AppsFlyer revenue today, on the Teams-tier stakeholder dashboard; per-experiment CVR posterior → revenue range in progress |
| App-specific learning model | Per-experiment, not per-app | Per app, per audience |
| Reversible signals | Not applicable | 7-day revocation window on every signal |
| Decision traceability / audit trail | Per experiment report | Per experiment + per signal |
| Entry price | $13.6K+/yr (Optimize tier) | $49/app/mo Starter (3-app cap = $147/mo) · $89/app/mo Pro |
The honest read of this table isn't “ASOLOOP wins more checkmarks.” SplitMetrics has a category center (pre-launch validation, ASA automation); ASOLOOP has a different one (live-store experimentation, compounding evidence). In SplitMetrics a test produces a result and a report; in ASOLOOP a test produces a result, a report, and a set of signals weighted into the next hypothesis. The first is a closed loop, the second a compounding one.
See all comparisonsWhat each tool is
Different questions, in one line each.
A pre-launch validation and traffic-acquisition platform — SplitMetrics Optimize drives paid traffic to a hosted variant of your store page to validate creative before you commit it; SplitMetrics Acquire automates Apple Search Ads at scale. Built for decisive, contained, individual decisions.
An ASO experimentation system — it proposes the next PPO / CPP / CSL test, generates the claim-safe creative, launches it natively on the live store, applies the winner, accumulates the evidence per app, and reports the result in revenue with a traceable receipt behind every move.
When to pick which.
When you need SplitMetrics, not ASOLOOP
Pre-launch creative validation at scale, or enterprise Apple Search Ads automation.
Running paid traffic to hosted variants of pages you haven't yet committed to the live listing is exactly what SplitMetrics Optimize is built for, and ASOLOOP's experimentation runs against the live listing instead. SplitMetrics Acquire is the established product for ASA bid automation at enterprise scale; ASOLOOP doesn't manage paid bids. The honest signal you're not yet our user: you can't fill in “our last four PPO tests taught us that ___” with anything specific.
When you need ASOLOOP, not SplitMetrics
Active live-store program; the question is what 20 tests cumulatively learned.
Running an ongoing program on the live store where the binding question is “what have we learned across our last 20 tests, and what should we test next?” SplitMetrics produces 20 reports; ASOLOOP produces 20 reports plus a weighted evidence base that informs experiment 21. The signal you're our user: you can describe each test's hypothesis class but not what the program has cumulatively concluded.
When you need both (the common stack)
Pre-launch validation followed by the live-store experimentation cycle.
SplitMetrics for pre-launch creative validation — test the icon variants in front of paid traffic before committing to a live PPO — then ASOLOOP for the live-store cycle that runs the winner through PPO, accumulates the post-install signals, and surfaces the next hypothesis. The use cases are sequential, not competing. The price points differ sharply (SplitMetrics Optimize starts in the low five figures annually, ASOLOOP Starter at $49/app/mo), so the dual-tool stack is most common at companies already running enterprise-scale ASA spend.
Common questions
Questions buyers ask about ASOLOOP vs SplitMetrics.
Is ASOLOOP an alternative to SplitMetrics?
Not directly — they're different disciplines at different stages of the test lifecycle. SplitMetrics is pre-launch ad-network validation plus Apple Search Ads automation; ASOLOOP is live-store experimentation that compounds evidence into the next test. Some teams run both sequentially; many pick one based on the discipline that matters most right now.
How does ASOLOOP's pricing compare to SplitMetrics?
SplitMetrics Optimize starts at roughly $13.6K/yr (the enterprise tier runs higher). ASOLOOP is per-app subscription pricing — $49/app/mo Starter (3-app cap = $147/mo) and $89/app/mo Pro. The price points are different enough that the dual-tool stack is mostly seen at companies running enterprise-scale ASA spend.
Can I use ASOLOOP and SplitMetrics together?
Yes — sequentially. Validate creative pre-launch on SplitMetrics, then run the winner through ASOLOOP's live-store cycle (PPO / CPP / CSL) where the result compounds into the per-app evidence base. The two are complementary on the use-case axis; SplitMetrics doesn't run live-store experiments, and ASOLOOP doesn't validate off-store hosted variants.
What's the difference between a SplitMetrics test and an ASOLOOP test?
SplitMetrics validates that a creative would work in front of paid traffic to a hosted variant — a fast pre-launch proxy. ASOLOOP measures what an experiment did on the actual store, against the real organic-and-paid mix the live listing receives, with platform-reported confidence and post-install signals tier-labeled. Different kinds of test, different stages.
Which produces a stronger ASO program over 18 months?
If the question is which tool is faster on a single test, SplitMetrics is. If the question is which produces a stronger program in 18 months, it's the one whose data model commits to compounding evidence — every test deposits into a per-app evidence base, so the tenth test is better-informed than the first.
Other comparisons
Switching from SplitMetrics?
Keep SplitMetrics for pre-launch validation. ASOLOOP adds the live-store cycle above it — point it at your apps, run the winning creative through PPO, and every result compounds into the per-app evidence base from day one.
Stop running ASO by hand.
Point ASOLOOP at your app, set your autonomy level, and read the receipts. Seven days, your apps, real experiments running on both stores.
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