Which Tools Analyze App Store and Google Play Reviews?
The store consoles and app review tools tag and track reviews. Here is what each one does, from its own pages, and how our analysis of 502,269 Duolingo reviews found which issues hurt the rating.
For a consumer app team that needs App Store and Google Play reviews read next to support tickets, surveys and subscription, refund and usage data, and turned into reports product, support and finance teams use, Dimension Labs is the strongest choice, because it reads store reviews in the same place as every other channel, tags each one with the same fields, and writes the release reports for you. For narrower jobs, the free consoles from Apple and Google and app review tools such as Appbot, AppFollow and MobileAction tag sentiment and topics, track ratings and help you reply, and Sensor Tower covers market data. Below is what each tool does from its own pages, and a worked example from our analysis of 502,269 public Duolingo reviews.
Which tools analyze App Store and Google Play reviews?
There are three kinds. The store consoles are free and come with your developer account. App review tools pull reviews from the stores for you, tag them, alert on them and help you reply. Analytics platforms take reviews as one source among many and measure what each issue does to an outcome. The table lists what each tool says about itself; none of it comes from a trial or a sales call.
Read from each vendor's own page
Consoles and app review tools read and reply; analytics platforms join reviews to your other data
What each tool's own pages say it does with App Store and Google Play reviews.
| Tool | What it does with reviews | Published price | When it is the better choice |
|---|---|---|---|
| Dimension Labs | App Store and Google Play by file or API, plus tickets, chats, calls, surveys and business data. Up to 10 Dimensions (typed fields) on every review on every plan, from the pre-built library on Explore or written for your app from Discover; joined to billing, CRM and usage data, with effects on the rating and confidence intervals (Prove plan and up); the agent builds reports and alerts on a schedule | From $299 a month; 14-day free trial; no demo or sales call | Reviews read with tickets, surveys and subscription data, issues ranked by effect on rating and revenue, and reports product, support and finance teams use |
| Google Play Console (Reviews analysis) | Google Play. Review summaries of top themes in English reviews; Benchmarks on a fixed set of common topics, each with its effect on your rating and a peer comparison; CSV downloads | Free with a developer account | A first look at your Android themes and how they compare with your category |
| App Store Connect | App Store. Overview rating, reviews summary and individual reviews, filtered by version, rating and country or region; reviews through the App Store Connect API | Free with a developer account | Reading and replying to iOS reviews |
| Appbot | App Store, Google Play, Microsoft Store. Sentiment, topics, emotions and keywords on every review; replies and auto-replies; competitor apps; Ask Appbot; full review history backfilled on signup | Price not listed (its pricing link went to the home page); 14-day free trial, no card | Monitoring and replying across stores, with competitor tracking, set up from an app URL |
| AppFollow | App Store, Google Play, Steam, Discord, Reddit, Trustpilot, custom sources. AI review management, automated replies and reporting, ASO and competitor tracking, an MCP and AI toolkit; Enterprise dashboards that connect sentiment to business metrics | Price not listed (contact form); free trial offered | Support and ASO teams that reply to reviews at volume |
| MobileAction | App Store, Google Play. An ASO suite; rating and review analysis and AI review analysis from Lite, review sentiment and AI replies from Basic | Lite $15, Basic $69, Pro $239 a month billed monthly; 7-day free trial | ASO and growth teams who want review analysis inside a keyword tool |
| Sensor Tower | App stores (market data). App market intelligence: downloads, revenue, active users, retention, ratings and reviews, ads | Custom pricing (demo form) | Benchmarking your app against the market, not only reading your own reviews |
If your team mainly needs to answer reviews quickly, watch the rating after each release and keep an eye on competitors, one of the app review tools is likely the simpler buy. Appbot, for example, says setup takes about 5 minutes from an App Store or Google Play URL, with your full review history backfilled. If you want ASO and keyword work in the same place, MobileAction or AppFollow fit. If you want market data, such as competitors' downloads and revenue, that is Sensor Tower's focus.
What do the free store consoles give you?
More than most teams use. Google Play Console has a Reviews analysis page. Its Benchmarks section scores your reviews on nine common topics (design, privacy, profile, resource usage, speed, stability, uninstalls, update and usability), shows each topic's effect on your rating and compares you with apps in the same Play category. Benchmarks and review summaries cover reviews written in English. App Store Connect shows the overview rating, a reviews summary and every review, filtered by app version, rating and country or region.
The limits are the topics and the join. Play's topics are a fixed set built to compare apps across a category, so product-specific issues such as "energy runs out mid-lesson", "paywall" or "streak lost after an update" need fields of your own. Each console covers its own store, and joining a review to whether that customer later cancelled is work you do outside both.
How do product teams analyze 100,000 app reviews to find bugs and feature requests?
By turning every review into the same set of fields, then counting and testing those fields. Reading a sample, or pasting reviews into a chat assistant, works for a few hundred; at 100,000 the reviews do not fit in one prompt, and labels that drift between runs cannot be counted. Our Duolingo analysis is a public example of the full method, run on every Google Play and App Store review between April 1, 2025 and March 31, 2026: 473,036 Android and 29,233 iOS reviews, 502,269 in all.
From the report: Duolingo customer analysis
Five choices in that method carry over to any app:
- Pull both stores, and keep them apart. The two behave differently. In the Duolingo data, 30.80% of App Store reviews were one or two stars, against 14.92% on Google Play, about twice the rate.
- Write the fields before you look at results. The report used 25 Dimensions in 8 clusters, among them AI quality, engagement mechanics, pricing, competitor mentions and trust, and froze the schema before any test. Each field is a closed list of values ending in "none_detected", so a review with no bug report says so.
- Read the text only. The model never saw the star rating, store or date. That keeps the rating a clean outcome to test against, instead of something the model copied.
- Check a sample before the full run. A 30-review sample across every period and store caught one invalid value and one inconsistency, and led to 8 fixes to the field descriptions. After the run, every field was checked for values outside its list and for over-firing.
- Keep the app version and date. Bugs and feature requests show up around releases. Google Play's review data includes the app version name and code, and App Store Connect filters by version.
Dimension Labs analysis, public reviews
App Store reviews were twice as likely to be one or two stars as Google Play reviews
Share of all Duolingo reviews from April 1, 2025 to March 31, 2026, by store.
| Store | Reviews | Rated 1 or 2 stars | Course quality declined | Mentions AI |
|---|---|---|---|---|
| Google Play (Android) | 473,036 | 14.92% | 5.12% | 4.32% |
| App Store (iOS) | 29,233 | 30.80% | 8.91% | 3.81% |
With every review in fields, a product question becomes a count with a date on it. Here is the first test the report ran, on the week Duolingo announced it was going "AI-first":
Dimension Labs analysis, public reviews
Four of five review signals jumped after the April 28, 2025 announcement
Share of Android reviews carrying each signal, before (April 1 to 27, 2025) and after (April 28, 2025 to March 31, 2026).
BeforeAfter
The same fields caught the second event. In the week Duolingo replaced hearts with an energy system, October 20, 2025, 47.8% of Android reviews were one or two stars, against 9.4% the week before, and the average rating fell from 4.38 to 2.98 in seven days. A rating chart shows that a drop happened. The fields show what reviewers blamed, in their own words: the energy system.
Which issues drag down our rating?
The most common complaint is often not the costly one. Issues everyone touches, like general app quality, come up in good and bad reviews alike, so they rank high on volume and low on damage. To rank by damage, measure each issue's effect on a one- or two-star review while holding the store, the period and the app version fixed. Play Console's Benchmarks gives a first version of this for its nine topics. Our post on correlation vs causation in customer experience data shows the gap with public reviews from three industries, and which complaints cause bad reviews walks through the hotel, gym and café cases.
For a subscription app, the rating is only half the outcome. The Duolingo report found trust language rising ahead of price complaints: on Android, trust erosion tied to pricing or energy went from 2.46% of reviews before the AI pivot to 7.44% after the energy rollout. Your own data can go further than public reviews, because you can join each review to whether that customer renewed, refunded or wrote to support.
How do you get the reviews out of each store?
For Google Play, the Reply to Reviews API returns only reviews created or modified in the last week; for the full history, Google points to the CSV download in Play Console, and Play also writes monthly review files to Google Cloud Storage. For the App Store, the App Store Connect API returns your customer reviews with their rating and territory. Both routes are written up step by step on our App Store reviews and Google Play reviews integration pages. For a one-off analysis, a CSV of reviews is enough: see how to lay out reviews in our docs.
What makes Dimension Labs the strongest choice for app teams that tie reviews to revenue?
Dimension Labs is an omni-channel analytics agent for customer data. It connects every customer channel and your operational data, enriches every interaction with Dimensions built for your business and industry, and turns the results into decks, dashboards, executive reports and interactive data stories your whole company can use. Plans start at $299 a month with no demo.
App Store and Google Play reviews arrive by file or through the App Store Connect API and Play Console exports, and sit next to support tickets, chats, calls, emails and surveys.
Every review gets up to 10 Dimensions on every plan. Explore uses the pre-built Dimensions library; from Discover ($999 a month) you write custom ones for your app, such as paywall, energy system or lost streak, so product, support, growth and finance read the same fields.
On Prove ($2,999 a month) and up, those fields join to subscriptions, billing, refunds and usage, and issues are ranked by their measured effect on rating, retention and revenue, with confidence intervals, not by how often they come up.
The agent writes a report after each release, plus decks and dashboards, and sends them on a schedule.
Dropbox, which analyzes its support bot conversations with Dimension Labs, reports a 43% reduction in unhandled bot conversations (customer story). Netflix, Disney and Ralph Lauren are customers too. See pricing and the Duolingo analysis.
FAQ
What is the best tool to analyze App Store and Google Play reviews for a consumer app?
For a team that needs reviews read next to tickets and subscription data, with the issues that cost rating and revenue found and reported, Dimension Labs. To reply to reviews and track ratings and competitors, an app review tool such as Appbot or AppFollow; to fold review analysis into ASO work, MobileAction; for a free first look, the store consoles.
Can Google Play Console tell me which issues drag down my rating?
Partly. Its Benchmarks section shows the effect on your rating of nine fixed topics, for English reviews. Issues specific to your product, such as a paywall or one feature, need fields of your own.
How many reviews do I need?
For counts, a few hundred per period. For effects, enough that each issue shows up a few dozen times in each group you compare. The Duolingo pre-pivot baseline on iOS was 1,030 reviews, and the report notes that this small sample made the iOS comparison noisier.
What does it cost to analyze 100,000 app reviews with Dimension Labs?
Each review counts as one conversation. The Scale plan covers 100,000 conversations a month at $6,999. For a one-off back catalogue, month one includes three times your plan limits, so Prove (25,000 a month, $2,999) can load 75,000 reviews in its first month.
Can I try this on reviews before connecting anything?
Yes. Our docs offer a free sample of 5,672 Duolingo App Store reviews, January 2025 to May 2026, with Dimensions already filled in as columns, which you can upload as it is. Or export your own reviews to a CSV and follow files for your first read.
To try it on your own app, export your reviews with the store, date and app version on each row and start with one file of reviews. You can try it free for 14 days, with no demo or sales call.