Chat with your Google Play Store data

AI to analyze Google Play Store data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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Google Play Store
You
How many daily installs did my top app get last week?
Installs
Your leading package received 12,450 daily installs on average last week, peaking at 18,200 on Tuesday.
Via Kondado MCP
You
What is the average star rating for my paid apps this month?
Ratings
Your paid apps currently hold a 4.6 out of 5 average rating based on 3,847 new reviews this month.
Via Kondado MCP
You
How much revenue did I earn from subscriptions yesterday?
Subscriptions
Yesterday's subscription earnings totaled $8,340 across 1,245 active subscribers with a 12% renewal rate.
Via Kondado MCP
You
What is my app's crash rate compared to last month?
Crashes
Your crash rate improved to 0.8% this month, down from 2.3% last month after the latest patch.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to Analyze Google Play Store Data with Claude and ChatGPT

Chat directly with Claude, ChatGPT, or any MCP client to explore your Google Play Store performance without writing a single line of code or SQL. Ask about daily install trends compared to uninstall events over the past quarter, revenue fluctuations in the Estimated Sales Report after a price change, or whether your latest app update correlates with shifts in user ratings and review sentiment. The AI interprets your natural language questions and retrieves specific metrics from your replicated data, allowing spontaneous analysis that adapts to your current business priorities.

Kondado provides a direct integration exposing Google Play Store data through an MCP server, enabling Claude, ChatGPT, and other MCP clients to query 7 pipelines including Reviews, Estimated Sales Report, Installs, Crashes, and Subscriptions. The same replicated data also powers ready report templates in Power BI and Looker Studio for visual monitoring.

Mobile app managers use this to monitor acquisition spikes against subscription churn patterns, while product analysts investigate whether crash rates from the Crashes pipeline explain sudden drops in daily user installs. Finance teams query the Earnings Report to reconcile transaction dates with merchant currency amounts across different buyer states, and marketing specialists analyze Reviews sentiment to gauge campaign effectiveness and identify feature requests. Every department gains self-service access to critical app store insights through simple conversational questions, eliminating the need for manual spreadsheet exports or technical report building.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your Google Play Store data by Kondado in minutes.

View Google Play Store dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Google Play Store data in natural language.

View MCP setup →

The Google Play Store data source exposes seven distinct pipelines that Claude or ChatGPT can query conversationally for deep business intelligence. Ask about the Estimated Sales Report to see which paid apps generated the most revenue yesterday and how item prices varied across regions, or query the Reviews pipeline to analyze sentiment shifts and star rating changes in recent user feedback. The Installs and Crashes pipelines reveal whether acquisition spikes correlate with stability issues affecting user experience, while the Subscriptions data tracks new versus cancelled memberships to calculate net growth. Combining the Earnings Report with Ratings trends helps identify if price adjustments affect overall user satisfaction scores over time. Data replicates on a configurable schedule that you control, ensuring your AI assistant always references current performance metrics when answering questions about your app portfolio.

How to connect Google Play Store to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

Google Play Store tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

7
Tables
88
Fields
∞
Ad-hoc questions
Reviews
Contains information about reviews, including package_name, star_rating, and review_text, along with dates like review_submit_date_utc.
Estimated Sales Report
Presents data on sales, such as product_title, item_price, and order_charged_date_utc, along with buyer state information.
Earnings Report
Includes information on transactions, such as product_title, amount_merchant_currency, and transaction_date, along with transaction type details.
Installs
Provides data on installs, including daily_user_installs, total_user_installs, and uninstall_events, along with date information.
Crashes
Presents data on crashes, such as daily_crashes and daily_anrs, along with date information and package_name.
Ratings
Contains information about ratings, including daily_average_rating, total_average_rating, and package_name, along with date data.
Subscriptions
Provides data on subscriptions, including new_subscriptions, cancelled_subscriptions, and active_subscriptions, along with date information and product_id.
Full docs on the wiki → Connect Google Play Store now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect Google Play Store and select destination

Log in to app.kondado.com.br to connect your Google Play Store account and choose a Via Kondado destination. This replicates your data into a structured format ready for AI queries and dashboard templates.

2
Add Kondado MCP server in Claude or ChatGPT

Open the connection settings in Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server, and complete the OAuth authorization. The same simple setup works in both clients with no code or command line required.

3
Start chatting or open a dashboard template

Ask natural language questions about your Google Play Store metrics in chat, or for ongoing visual monitoring, open a ready Power BI or Looker Studio report template connected to the same data.

Other connectors with AI via MCP

Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

CRM and Sales

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Exact Sales Exact Sales
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Infusionsoft (Keap) Infusionsoft (Keap)
Meetime Meetime
NectarCRM NectarCRM
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Ploomes Ploomes
RDStation CRM RDStation CRM
Salesforce Salesforce

Marketing and Automation

Google Ads Google Ads
E-goi E-goi
Google Search Console Google Search Console
Hi Platform Hi Platform
Huggy Huggy
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MailChimp MailChimp
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Mautic Mautic
Pushwoosh Pushwoosh
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
Twilio Twilio
WordPress WordPress

Advertising and Media

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Bing Bing
Criteo Criteo
Facebook Facebook
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Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
Hotmart Hotmart
Loja Integrada Loja Integrada
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Shopify Shopify
Tiny ERP Tiny ERP
Tray Tray
VNDA VNDA
VTEX VTEX
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Financial and Payments

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Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
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EADBOX EADBOX
Freshdesk Freshdesk
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Recruiterbox Recruiterbox
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Databases

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Azure Table Storage Azure Table Storage
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InfluxDB v1 InfluxDB v1
MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
Webhook Webhook

Productivity and Collaboration

ClickUp ClickUp
Google Sheets Google Sheets
Jira Jira
monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Toggl Toggl
Trello Trello

Social Media

Instagram Instagram
TikTok Organic TikTok Organic

User Analytics

Google Analytics GA4 Google Analytics GA4
Mixpanel Mixpanel
Zeeng Zeeng

Storage and Transfer

Amazon S3 Amazon S3
FTP FTP
Google Cloud Storage Google Cloud Storage
See all AI connectors →

Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What business questions can I ask Claude or ChatGPT about my Google Play Store data? ▼
You can ask about revenue trends from the Estimated Sales Report, daily install counts versus uninstall events, crash rates impacting user experience, subscription conversion and churn patterns, or sentiment analysis from recent Reviews. The AI interprets your natural language questions and queries the underlying pipelines to return specific metrics, comparisons, and trend summaries.
How do I configure Claude or ChatGPT to access my Google Play Store data through Kondado? ▼
In Claude (Web or Desktop) or ChatGPT, navigate to the connection settings and add the Kondado MCP server. You will authorize access once via OAuth at app.kondado.com.br, granting the AI read-only access to your replicated Google Play Store data. No command line tools or JSON configuration files are required.
Does the AI write data back to Google Play Store or execute actions? ▼
No, the integration is read-only for analytical purposes. Claude, ChatGPT, and other MCP clients can only query and analyze your data through chat. They cannot publish apps, respond to reviews, modify pricing, or execute any write operations back to the Google Play Store.
How does authentication work when connecting Google Play Store to Claude or ChatGPT? ▼
You authenticate directly with Google Play Store on Kondado at app.kondado.com.br using OAuth. Once configured, the same credentials enable AI access through the MCP server without additional logins. This single authorization flow secures your data for both chat analysis and dashboard reporting.
How often is Google Play Store data updated for AI queries? ▼
Data replicates on a configurable schedule that you set in Kondado, such as hourly or daily refreshes. When you ask a question in chat, the AI references the most recent successful replication, ensuring answers reflect near-real-time business conditions without manual exports.
What is the difference between asking the AI in chat and using the ready dashboards? ▼
Chat offers exploratory analysis where you ask spontaneous questions about specific metrics or correlations in natural language. Ready dashboards in Power BI and Looker Studio provide fixed visual templates for recurring monitoring of KPIs like install trends, crash rates, and subscription metrics. Both use the same underlying data from your Kondado pipelines.
Which ready dashboard templates are available for Google Play Store data? ▼
Kondado offers report templates in Power BI and Looker Studio that visualize install acquisition, revenue from sales and subscriptions, crash analytics, and rating trends. These templates connect to your replicated data and update automatically alongside your AI chat access.

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