About AppRanks
AppRanks is an independent app marketplace intelligence platform that tracks public listings, rankings, ratings, reviews, and metadata across every major marketplace on published freshness targets. This page explains who builds AppRanks, how our data is collected and verified, the methodology behind our metrics, and the editorial principles that keep our rankings neutral. We have no affiliation with the marketplaces we cover, so the numbers you see reflect public data, not paid placement or vendor influence.
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What is AppRanks
AppRanks is an independent intelligence platform that tracks public app marketplaces. We collect rolling snapshots of app listings, rankings, ratings, reviews, and metadata across 14 marketplaces, then surface trends, competitor movements, and editorial-style audits in a single dashboard.
The platform is aimed at app developers, agencies, and researchers who need a longitudinal view of marketplace dynamics without paying the access tax that each marketplace charges its own ecosystem partners. We did not build this to replace any marketplace's own analytics — we built it because the data each marketplace keeps to itself is exactly the data its developers, integrators, and researchers most need to make decisions.
Every public page on this site is built from the same data pipeline that powers the dashboard. There is no hidden tier with "real" numbers and a public tier with massaged ones — what you see on a free, logged-out page is the same snapshot a paying subscriber sees, with optional historical depth and competitor overlays unlocked above the paywall.
What we are not: we are not a marketplace, a promotion vehicle, or a paid placement service. AppRanks does not accept payment to influence rankings, audit scores, or comparison outcomes — see Editorial independence below for the full policy.
AppRanks vs similar names: AppRanks (this site, appranks.io) is a cross-platform marketplace intelligence tool for app developers and researchers. It is a separate product from apprank.io, a mobile-app revenue tracker with a similar name but a different focus, audience, and operator. We have no affiliation with apprank.io or with the other near-identical domains that share the "appranks" / "app rank" word stem. If you are looking for AppRanks the marketplace-intelligence platform, this is it; the canonical URL is https://appranks.io.
Who runs AppRanks: Editorial standards at AppRanks are maintained by the AppRanks editorial and data teams. Rubric weightings, methodology updates, and correction decisions are authored, signed off, and published on this page before they ship — the document below is the master version. Corrections and methodology questions reach the team directly via corrections@appranks.io.
Team composition
AppRanks is built by a small team of software engineers and former app-marketplace operators with combined experience across Shopify Plus operations, e-commerce analytics, and platform-data engineering. The team is small enough to ship daily and large enough to maintain independent oversight on data-quality decisions — methodology changes are reviewed by someone other than the person who proposed them, and the signed-off version is what publishes to the page above.
Editorial process
Methodology updates follow a fixed four-step process before shipping. (1) The data team drafts the proposed change with a written rationale referencing the audit rubric or scraper pipeline section it touches. (2) The change is dry-run against a stratified sample of 200 audited apps and the resulting score-delta distribution is reviewed against the prior six months — changes that move more than 15% of scores by >5 points must include a calibration note. (3) An editorial reviewer who didn't draft the change signs off in writing. (4) The change ships with a dated changelog entry on /changelog and an updated date stamp on this page. Corrections raised by app developers run through the same process, with a 5-business-day SLA from corrections@appranks.io to published response.
Methodology
Methodology is the answer to "why should I trust your numbers?" The canonical, full version lives at appranks.io/methodology — the cards below are the short version. When anything about collection or scoring changes, the methodology page changes first and these summaries inherit it.
Data collection
We crawl public marketplace pages and APIs on a per-platform cadence. Each marketplace has a dedicated scraper that respects rate limits and error budgets. Listings are normalized into a shared schema so apps from different stores can be compared directly.
Refresh cadence
Every marketplace has a published freshness target — the canonical table lives on the methodology page: 24 hours for Shopify, 48 hours for the other top-traffic marketplaces (Salesforce AppExchange, HubSpot, Atlassian Marketplace), and 72 hours for standard marketplaces — policy maximums, with typical staleness closer to half those numbers. Audit scores refresh on demand or when underlying inputs (rating, review velocity, ranking volatility) change materially.
Ranking computation
We do not invent a proprietary "AppRanks score" for the public surface. Public pages display platform-native signals — average rating, review count, marketplace position, and 7/30/90-day deltas — exactly as they appear on the source marketplace. Composite metrics are reserved for the dashboard.
Audits
Audit pages score listings against a fixed rubric covering listing completeness, rating health, review velocity, merchandising, and ranking consistency. The rubric is the same for every app on a given platform — we do not weight by paid relationship, traffic, or partnership tier.
Known limitations
No data pipeline is perfect, and the most useful methodology section is one that is honest about where it falls short. The limitations below are the ones we have measured and live with — if you spot one we have missed, the corrections inbox is at the bottom of this page.
- New listings. Newly launched apps may take 24–48 hours to appear after their first marketplace publication. Some marketplaces stage new listings to a low-traffic surface for days before promoting them, and our discovery cadence can lag accordingly.
- Obfuscated review counts.Marketplaces that hide review counts or star ratings below an internal threshold (typically <5 reviews) inherit the same gaps in our data. We mark these fields as unknown rather than guessing.
- Delisted apps. When a marketplace removes an app, we retain the last-known snapshot and mark the listing as delisted. Historical data does not vanish — researchers can still trace the trajectory that led up to a delisting.
- Refresh-cycle drift.Public pages display the most-recently-fetched values. If you see a discrepancy with the live marketplace, the gap is at most that marketplace's freshness target (24–72 hours — see the methodology table). The source marketplace is always the ground truth.
- Composite metrics. Internal experimental scores (power score, momentum, visibility) are deliberately kept out of public surfaces. Their methodology is still being validated, and we would rather under-promise than expose metrics whose definitions shift across versions.
Data sources
Each tile below links to the source marketplace. We collect only data that is publicly accessible to any logged-out visitor — no authenticated APIs, no scraped login-walled pages, no leaked datasets.
Editorial independence
AppRanks does not accept payment, sponsorship, gifts, or consideration of any kind in exchange for ranking placement, audit scores, comparison outcomes, or any other surface on this site. Our subscription revenue is the only financial relationship we have with the developers whose apps we cover, and that relationship buys access to the dashboard — it does not buy influence over what the dashboard shows.
If a developer disputes a number, we point them to the source — the underlying marketplace page is always the ground truth, and our snapshot is at most one refresh cycle behind. If the source marketplace is wrong about a developer's own listing, the fix has to start there: we mirror the public surface and do not edit it on request.
We do not run sponsored posts, advertorials, or "featured partner" placements on any public surface. We do not take affiliate revenue from links to marketplace listings. We do not accept retainers from app developers in exchange for favorable audit scoring. If we ever change any of these policies, the change will be announced here first, and the reason will be on the record.
Found an error?
Email corrections@appranks.io with the URL and the discrepancy. Corrections are investigated within one refresh cycle (24h max).
Who runs AppRanks
AppRanks is built and operated by an independent editorial team. We don't publish individual bylines on every audit page — the rubric is the same for every app, and we prefer accountability to the methodology over personality cults. But the methodology, the corrections inbox, and the public independence statement all roll up to the same team: we're reachable at corrections@appranks.io for any factual dispute, and that channel is monitored within one refresh cycle.
When a named contributor publishes a piece — for example, a long-form analysis or a method addendum — that contributor is named on the byline of that page. Default attribution is "AppRanks Editorial", which means the methodology applied to a public page is the unmodified rubric documented above. There is no "AppRanks editor" whose opinion overrides the rubric.
Frequently asked questions
How does AppRanks compute rankings?
We don't compute rankings — we record them. The rank you see is the marketplace's own listing position at the most recent crawl, read from the public leaderboard the way a logged-out visitor would see it, and refreshed within each marketplace's published freshness target on our methodology page. Synthetic scores from third-party tools (App Radar, Sensor Tower, AppFollow) add an opinion-as-data layer we have no reason to introduce, because the marketplace's own ranking is the only number a merchant or developer actually negotiates against. Where a marketplace blends signals itself (Shopify's category leaderboards, for example, mix install velocity and rating), our snapshot inherits that blend unchanged — we do not redefine it. Experimental composite metrics stay inside the dashboard; the Methodology section above summarizes the rules, and appranks.io/methodology documents them in full together with the freshness targets and known limitations.
How often is AppRanks data refreshed?
Refresh cadence is committed per marketplace, and the canonical numbers live in the freshness-target table on our methodology page at appranks.io/methodology: 24 hours for Shopify, 48 hours for the other top-traffic marketplaces (Salesforce AppExchange, HubSpot, Atlassian Marketplace), and 72 hours for standard marketplaces — policy maximums, with typical staleness closer to half those numbers. The variance between marketplaces comes from each marketplace's rate-limit budget — some platforms allow more aggressive polling than others, so we tune per platform rather than enforce a single global cadence. Featured sections and editorial picks refresh on their own cycle, and audit scores refresh on demand when underlying inputs change materially. If you see a discrepancy between an AppRanks page and the live marketplace, the gap is at most one freshness target for that marketplace — the source marketplace is always the ground truth. When we change a target, the methodology table changes first and every other surface, including this answer, inherits it.
How are AppRanks audit scores calculated?
Every audit runs one rubric, applied identically to every app on a marketplace — the Audits card above lists the categories it covers, and each audit page documents its exact weightings and per-check criteria inline, so a reader can verify which signal moved a score up or down. No paid relationship, traffic level, or partnership tier changes how the rubric is applied. Calibration works by spot-checking 100+ real listings before and after any published scoring change, and rubric revisions ship openly rather than silently re-scoring history. Developers who dispute a score can request a manual recheck through the corrections inbox above; we investigate within one refresh cycle (24 hours maximum). The audit exists as an outside-perspective benchmark for a listing — not a replacement for internal merchandising decisions, which need platform-specific context the public audit cannot see.
Does AppRanks accept payment for ranking placement?
No — the full policy is the Editorial independence section above on this page. In short: the only money AppRanks takes from covered developers is a dashboard subscription, and subscribing changes nothing about what any public page or dashboard surface displays. There are no sponsored posts, no advertorials, no featured-partner slots, and no affiliate commissions on marketplace links anywhere on the site. Because every number is mirrored from the source marketplace, a developer who believes a figure is wrong should correct it at the source — the fix reaches AppRanks on the next scrape — or raise a factual dispute through the corrections inbox above, investigated within one refresh cycle (24 hours maximum). Should any part of that policy ever change, this page announces it first, with the reasoning for the change stated openly on the record.
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