Chat with your Pushwoosh data

AI to analyze Pushwoosh data with Claude and ChatGPT

Get started for free

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

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

Pushwoosh
You
How many interactions did our iOS push campaigns generate last week?
Pushwoosh
Your iOS push campaigns generated 12,847 interactions across 23 campaigns during March 10-17.
Via Kondado MCP
You
Which app showed the highest engagement growth compared to last month?
App Stats
The Shopping App (code: SH-2024) increased interactions by +34% MoM, outperforming all other applications in your portfolio.
Via Kondado MCP
You
What was the average interaction rate for campaigns dispatched on weekends?
Push Stats
Weekend push campaigns achieved an average interaction rate of 8.4%, which is 2.1 percentage points higher than weekday sends.
Via Kondado MCP
You
How many total events were recorded across all apps yesterday?
App Stats
Your Pushwoosh apps recorded 45,892 total events yesterday, with the highest activity between 14:00-16:00 hours.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Pushwoosh data with Claude and ChatGPT

Ask Claude, ChatGPT, or any other MCP client about your Pushwoosh data using natural language chat to uncover insights about campaign performance and mobile app engagement. Query specific metrics such as which push notifications drove the most interactions, compare delivery statistics between Android and iOS platforms, or analyze engagement trends across different applications in your portfolio. This conversational approach transforms raw Pushwoosh data into immediate answers for your marketing and product teams without requiring technical SQL knowledge or manual spreadsheet analysis.

Kondado provides an MCP server that exposes Pushwoosh data to Claude, ChatGPT, and other MCP clients, covering 4 data pipelines including Apps, Push History, Push Stats, and App Stats. The same replicated data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.

Marketing analysts and mobile product managers benefit directly by asking targeted questions about campaign effectiveness, such as identifying top-performing push codes or tracking interaction counts over specific date ranges. E-commerce managers can correlate push notification deliveries with app engagement events to optimize their cross-channel marketing timing and content strategy. Operations teams monitor application statistics across multiple app codes to ensure consistent user experience and engagement levels without waiting for scheduled reporting meetings.

I prefer ready dashboards

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

View Pushwoosh dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Pushwoosh data in natural language.

View MCP setup →

The Pushwoosh data source includes four distinct pipelines that unlock different analytical perspectives when queried through AI chat. The Apps pipeline reveals application performance metrics and cumulative interaction counts across your mobile portfolio, while Push History provides granular details about campaign names, send dates, and platform-specific delivery parameters for Android and iOS. Push Stats delivers actionable metrics including action types, stat timestamps, and interaction counts organized by individual push codes, and App Stats tracks comprehensive event data linked to specific app codes and time periods. You can cross-analyze Push History with Push Stats to correlate specific campaign dispatches with resulting engagement rates, or join Apps data with App Stats to monitor growth trends across different applications in your ecosystem. Data refreshes occur on a configurable schedule to ensure your AI assistant always references current campaign and engagement data when answering questions.

How to connect Pushwoosh 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

Pushwoosh 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.

4
Tables
46
Fields
∞
Ad-hoc questions
Apps
Contains information about app code, app name, and statistics such as interaction count.
Push History
Records details such as ID, campaign name, send date, and specific parameters for Android and iOS.
Push Stats
Presents metrics such as action, stat date and time, push code, and interaction count.
App Stats
Provides data on action, app code, stat date and time, and event count.
Full docs on the wiki → Connect Pushwoosh now →

How to connect and use AI with your data

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

1
Connect Pushwoosh to Kondado

Log in to app.kondado.com.br and create a pipeline selecting Pushwoosh as your data source and a Via Kondado destination. This replicates your Apps, Push History, Push Stats, and App Stats data, making it available for AI chat and ready dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

Open the connection settings in Claude Web or Desktop, or in ChatGPT, and add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br to grant secure read access to your Pushwoosh data without any CLI commands or code snippets.

3
Chat about data or open dashboards

Start asking questions in natural language about your Pushwoosh campaigns and app metrics in the chat interface. For ongoing visual monitoring, open one of the ready Power BI or Looker Studio dashboard templates that use the same replicated data.

Other connectors with AI via MCP

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

CRM and Sales

ActiveCampaign ActiveCampaign
Bitrix24 CRM Bitrix24 CRM
Exact Sales Exact Sales
Hubspot Hubspot
Infusionsoft (Keap) Infusionsoft (Keap)
Meetime Meetime
NectarCRM NectarCRM
Pipedrive Pipedrive
PipeRun PipeRun
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
Linkedin Linkedin
MailChimp MailChimp
Mandrill Mandrill
Mautic Mautic
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
Twilio Twilio
WordPress WordPress

Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
Facebook Facebook
Facebook Ads Facebook Ads
Google Play Store Google Play Store
Instagram Ads Instagram Ads
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
Mercado Libre Mercado Libre
Nuvemshop (Tiendanube) Nuvemshop (Tiendanube)
Olist Tiny Olist Tiny
Omie Omie
Pagar.me Pagar.me
Shopify Shopify
Tiny ERP Tiny ERP
Tray Tray
VNDA VNDA
VTEX VTEX
Wake Commerce Wake Commerce

Financial and Payments

ASAAS ASAAS
ContaAzul ContaAzul
Fatura Simples Fatura Simples
Granatum Granatum
Superlogica Superlogica
Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
Clockify Clockify
EADBOX EADBOX
Freshdesk Freshdesk
Movidesk Movidesk
Recruiterbox Recruiterbox
Stilingue Stilingue
Wootric Wootric
Zendesk Zendesk
Zendesk Chat (Zopim) Zendesk Chat (Zopim)

Databases

AWS CloudWatch Metrics AWS CloudWatch Metrics
Azure Table Storage Azure Table Storage
BigQuery BigQuery
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 kind of Pushwoosh campaign questions can I ask Claude or ChatGPT in chat? ▼
You can inquire about specific campaign performance metrics, such as interaction counts by push code or comparison between Android and iOS delivery rates. The AI queries your replicated Pushwoosh data to return specific figures from Push History and Push Stats pipelines. This helps you identify which message types generate the highest engagement without manually exporting CSV files.
How do I configure Claude Web or Desktop to access my Pushwoosh data through Kondado? ▼
Navigate to the connection settings in Claude Web or Desktop and add the Kondado MCP server endpoint. You will be redirected to app.kondado.com.br to complete a one-time OAuth authorization, granting the AI read-only access to your Pushwoosh pipelines. No command line tools or JSON configuration files are required for this setup.
Can ChatGPT also analyze my Pushwoosh push notification metrics through this connection? ▼
Yes, ChatGPT supports the same MCP standard, allowing you to add the Kondado server in its connection settings using the identical OAuth flow. Once authorized, you can ask ChatGPT about app statistics, campaign history, and engagement metrics from your Pushwoosh account using natural language conversations.
Does the AI assistant write data back to Pushwoosh or execute campaigns? ▼
No, this pipeline setup provides read-only analytical access to your replicated Pushwoosh data. The AI can retrieve and analyze information from Apps, Push History, Push Stats, and App Stats pipelines to answer questions, but it cannot modify campaign settings, dispatch push notifications, or alter any data in your Pushwoosh account.
How frequently does the Pushwoosh data update for AI queries? ▼
Kondado replicates Pushwoosh data on a configurable schedule that you set during pipeline configuration, ensuring the AI references current campaign and engagement metrics. Unlike manual exports, this refresh pattern keeps your chat-based analysis aligned with recent push notification performance without requiring repeated data pulls.
What is the difference between asking the AI about Pushwoosh data and using a ready dashboard? ▼
Chat-based analysis with Claude or ChatGPT allows exploratory, ad-hoc questioning about specific campaigns or metrics using natural language, while ready dashboards in Power BI and Looker Studio provide fixed visual templates for recurring monitoring. The same underlying data supports both approaches, letting you switch between conversational discovery and structured visual reporting as needed.
Which specific Pushwoosh tables are available for AI analysis through Kondado? ▼
The MCP server exposes four pipelines: Apps containing app codes and interaction statistics, Push History with campaign details and send dates, Push Stats showing action metrics and interaction counts, and App Stats tracking events by application. These cover 46 total fields across your mobile marketing data.
Do other MCP clients work with Kondado for Pushwoosh analysis besides Claude and ChatGPT? ▼
Yes, because Kondado implements the open MCP standard, any compatible client can connect to analyze your Pushwoosh data. While Claude and ChatGPT are the most popular interfaces for business users, other MCP clients also work with the same OAuth authentication and provide identical access to your Apps, Push History, Push Stats, and App Stats pipelines.

Try out all the features for free for 14 days