Other ASO tools hand you charts. ASOLOOP runs the test and ships the winner.

AppTweak and MobileAction are intelligence and breadth platforms — they report; they don't run the experiment. SplitMetrics validates individual tests but stops at the result. ASOLOOP is the system that runs the loop end-to-end — proposes, generates, launches, applies the winner, and learns — above your keyword tool, not a replacement (and every test compounds into the next). Most teams keep AppTweak (consumed as a Pro+ signal source) and add ASOLOOP on top. Detailed comparisons live at /compare.

Spreadsheets record. They don't connect evidence across tests, surface next-action implications, or denominate the outcome in revenue. ASOLOOP does all three — revenue at the workspace level today, per-experiment ranges in progress — and the schema enforces consistency that a free-form spreadsheet can't. You give up the freedom to be sloppy, and you get back the ability to compound. Practitioner take from research: "a one-time snapshot doesn't tell you if your changes actually worked."

Low volume is exactly when compounding matters most — every signal preserved and reused. ASOLOOP surfaces patterns from inconclusive tests that other tools throw away (under-trafficked cells, sub-cohort wins, methodology refinements). Most teams running 4–8 PPO/CPP cycles per quarter sit well within range. The pre-launch precision-tier preview tells you up front whether a low-traffic test will fire at the cohort-window or per-variant tier — you make the structural call before the four weeks of traffic spend.

Today it lands as a workspace-level revenue band on your workspace's Teams-tier stakeholder dashboard — a range bucket computed from your connected AppsFlyer revenue, never a point estimate. Inputs are MMP-derived only — no operator-attested ARPU fallback. Without AppsFlyer connected, that card reads "Revenue band requires MMP" and CVR confidence still surfaces on every hypothesis card. Translating each hypothesis's Bayesian CVR posterior into "~$X–$Y/month at N% probability" on the card itself is in progress — the metric your VP actually reads, and it ships only when it is real.

ASOLOOP is built for that posture. Every signal traces to a source experiment — inspect, question, suppress, or revoke any of them inside the 7-day window. Every LLM-rendered surface keeps its deterministic evidence in view alongside the model-written text. Every revenue claim renders as a range, never a point estimate — and the per-hypothesis ranges in progress will ship with their assumptions disclosed inline. The system never auto-promotes you to Agent mode — that's opt-in only, with its own risk-acceptance modal. Practitioner phrasing: "verify early and often."

Every plan starts with a 7-day Starter trial — the complete intelligence loop on your own app: proposals, generated creative, signal-backed reads, with managed AI included or your own model key connected. Publishing to the store and asset download unlock when you convert. Credit card required to start; you're not billed during the 7 days, and cancelling in-trial costs nothing. If you stay, you convert to Starter monthly billing on Day 7 — upgrade to Pro or Teams anytime.

Yes — ASOLOOP detects your app's storefront and runs the loop in that market's listing language: baseline, review, and competitor analysis are captured in-language, generated creative is claim-safe in that language (es-MX gets es-419, not Spanish written for Madrid), and experiments scope to the detected locale automatically. Around 30 storefronts are mapped today; outside them, generation falls back to guarded prompts with a review flag — it degrades safely, never silently.

Reverting the live store listing back to the prior metadata is one action — every variant ASOLOOP writes is a versioned record. The signal that produced the failed recommendation is revocable inside the 7-day window; suppress it and the next ranking pass excludes it. Project Rules also have edit history with retroactive recalculation. Reversibility is the precondition for every other commitment in the product, not an afterthought.