Chartmogul Integration

ChartMogul Integration for Subscription Intelligence

Connect ChartMogul and let AI agents query MRR, churn rates, and cohort analytics alongside customer acquisition cost from ad platforms.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Chartmogul
Show me our subscription MRR trend for the last 6 months and highlight any churn spikes.
Your MRR grew from $847K to $1.02M over the period. Churn spiked 23% in March after a price increase, but recovered by May. Net MRR growth rate is 4.1% monthly.
Which customer segments have the highest expansion revenue this quarter?
Enterprise annual plans show $127K expansion revenue, driven by seat upgrades. Mid-market monthly plans contributed $64K. Your top expansion segment is enterprise SaaS companies with 50-200 employees.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Chartmogul Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect ChartMogul to your data stack

Improvado connects to ChartMogul's API to extract monthly recurring revenue, customer churn metrics, subscription analytics, and cohort data automatically. The platform pulls data on schedules you define, from real-time updates to daily refreshes depending on your reporting cadence. ChartMogul subscription data flows directly into BigQuery, Snowflake, or your preferred BI tool without manual exports. Pre-configured connectors handle authentication and data mapping, reducing setup time from days to minutes.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Chartmogul API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Chartmogul through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Unified subscription data across platforms

Improvado's Marketing Common Data Model standardizes ChartMogul subscription metrics with data from your marketing, sales, and support platforms. MRR data from ChartMogul aligns with customer acquisition costs from Google Ads, sales cycle data from Salesforce, and support ticket volumes from Zendesk. This normalization enables complete revenue attribution analysis, connecting marketing spend to subscription growth and churn patterns. Teams analyze customer journeys from first touchpoint through subscription lifecycle using consistent data formats.

ChartMogul API v1 · API key · daily sync · incremental
Schema Overview

Data objects and fields Improvado extracts from Chartmogul

Object Fields
Subscription
mrr arr status billing_cycle quantity plan_name customer_uuid
Customer
mrr arr status customer_since city country ltv
Plan
name interval_count interval_unit external_id data_source_uuid
Invoice
date due_date currency line_items external_id customer_uuid
Metrics
mrr arr customer_churn_rate mrr_churn_rate ltv arpu
How it works

From connection to autonomous action in three steps

1

Connect

Connect your ChartMogul account via API key. The agent authenticates read-write access to subscription metrics, customer segmentation, and plan data across all connected billing sources.

2

Ask

Ask questions like 'which cohorts have the lowest LTV?' or 'show me customers who downgraded in the last 30 days' or 'what's our logo churn rate by acquisition channel?'

3

Act

The agent applies customer tags, creates custom segments, updates plan metadata, and triggers alerts when churn rate exceeds thresholds or expansion revenue drops below targets.

Use Cases

What teams ask their AI agent about Chartmogul

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Connect marketing spend to subscription revenue and calculate true customer acquisition ROI

Your AI agent analyzes Chartmogul data and delivers actionable insights — automatically, in seconds.

12 hrs → 30 min
A
Improvado Agent Cross-channel

Analyze churn patterns against support interactions and product usage data

Your AI agent analyzes Chartmogul data and delivers actionable insights — automatically, in seconds.

8 hrs → 20 min
A
Improvado Agent Reporting

Build executive dashboards tracking MRR growth, churn, and customer lifetime value trends

Your AI agent analyzes Chartmogul data and delivers actionable insights — automatically, in seconds.

5 hrs → 15 min
AI Agent Access

Your agent calculates true CAC payback by connecting MRR to marketing spend

Read

The agent reads MRR, ARR, churn rates, customer lifetime value, cohort analysis, subscription counts, plan distribution, expansion revenue, contraction metrics, and customer segmentation data from your ChartMogul account.

Write

The agent tags customers, creates and modifies segments, updates custom attributes, sets MRR movement alerts, and organizes subscription data by cohort, plan type, or acquisition source.

Monitor

The agent monitors MRR growth rate changes, churn spikes above baseline, negative MRR movement patterns, cohort performance degradation, and expansion revenue trends to flag retention risks.

AI agents query monthly recurring revenue, customer churn metrics, and subscription cohort data from ChartMogul. They automatically calculate customer acquisition cost payback periods by matching ChartMogul revenue to marketing channel spend. Agents identify which campaigns drive subscribers with the highest lifetime value and lowest churn.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Chartmogul
You
Show me subscription plan performance for Q1 2024
A
Plan Performance
Plan Active Subs MRR Growth
Enterprise Annual 127 subs +18.2%
Pro Monthly 843 subs +12.7%
Starter Monthly 1,204 subs +8.4%
Team Annual 89 subs +6.1%
Basic Monthly 2,156 subs -3.2%
4,419 active subscriptions · $1.02M MRR · 9.8% avg growth
You
Tag all customers with negative MRR movement as at-risk
A
Tagged 147 customers as at-risk
$89K MRR flagged for retention review
Destinations

Send Chartmogul data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Chartmogul as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What ChartMogul metrics can Improvado extract?
Improvado extracts MRR, ARR, churn rates, customer lifetime value, subscription plans, billing intervals, and cohort analysis data from ChartMogul. The platform also captures customer segmentation data and revenue recognition metrics for comprehensive subscription analytics.
How frequently can ChartMogul data sync to my warehouse?
ChartMogul data can refresh every hour, daily, or on custom schedules based on your subscription reporting needs. Most SaaS companies choose daily syncs to track MRR changes and weekly updates for cohort analysis.
Can I combine ChartMogul data with marketing attribution?
Yes, Improvado connects ChartMogul subscription data with marketing platforms like Google Ads, Facebook, and HubSpot. You can track how marketing campaigns influence subscription growth, calculate customer acquisition costs, and measure marketing ROI on subscription revenue.
Does the integration support ChartMogul custom segments?
Improvado automatically extracts custom customer segments and tags from ChartMogul. Segmentation data maintains its structure for analysis while being normalized with other platform data in your warehouse.
Which data warehouses work with ChartMogul integration?
ChartMogul data flows to BigQuery, Snowflake, Redshift, Azure Synapse, and connects to Tableau, Power BI, Looker for visualization. The normalized data format works consistently across all supported destinations.
How do I authenticate ChartMogul with Improvado?
Use your ChartMogul API key to connect through Improvado's interface. Select the specific metrics and date ranges you need, choose your destination warehouse, and set your sync schedule. Initial data backfill typically completes within a few hours depending on your subscription history.