Chargify + ChartMogul
Connect Chargify and ChartMogul for Real-Time Subscription Intelligence
Automate billing data flow from Chargify into ChartMogul so your SaaS metrics stay accurate, timely, and ready to act on.
Why integrate Chargify and ChartMogul?
Chargify is a subscription billing and revenue management platform built for B2B SaaS companies. ChartMogul is a subscription analytics platform that turns raw billing data into MRR, churn, LRR, and cohort insights. Together, they're the backbone of a data-driven subscription business. Connecting them means every subscription event — new signups, upgrades, downgrades, cancellations, reactivations — shows up in your analytics dashboards immediately, with no manual exports and no data lag.
Automate & integrate Chargify & ChartMogul
Use case
Real-Time MRR Tracking Across the Full Subscription Lifecycle
Whenever a subscription is created, upgraded, downgraded, or cancelled in Chargify, tray.ai syncs that event to ChartMogul so your MRR charts reflect the true state of your business at all times. No lag between billing activity and analytics reporting. Finance and leadership always have an accurate, up-to-the-minute picture of recurring revenue.
Use case
Automated Customer Import and Profile Enrichment
When a new customer is created in Chargify, tray.ai provisions a matching customer profile in ChartMogul, pre-populated with company name, email, and subscription plan. Your analytics platform always has a complete customer roster, and richer profiles make cohort analysis and segmentation far more useful.
Use case
Churn and Cancellation Event Synchronization
When a subscription is cancelled or expires in Chargify, tray.ai immediately updates ChartMogul to record the churn event with the correct date and plan details. Accurate churn timestamps matter for calculating monthly churn rate and understanding retention cohorts. Your churn data in ChartMogul is never delayed or approximated.
Use case
Plan Upgrade and Expansion Revenue Capture
Expansion revenue from plan upgrades and add-ons in Chargify is automatically reflected as MRR expansion events in ChartMogul, giving you a clear view of Net Revenue Retention. Without this connection, expansion events are frequently missed or miscategorized. tray.ai makes sure every upsell is counted and attributed correctly.
Use case
Reactivation and Win-Back Tracking
When a previously churned customer reactivates in Chargify, tray.ai sends the reactivation event to ChartMogul so the customer is correctly reclassified and their MRR contribution is restored. Tracking win-backs accurately is how you measure whether re-engagement campaigns are actually working — and this workflow means reactivations are never lost in the data.
Use case
Subscription Plan and Pricing Change Propagation
When you update pricing plans or product configurations in Chargify, tray.ai can sync the updated plan metadata to ChartMogul so your analytics segments and MRR calculations stay aligned with your current pricing structure. This is especially useful during pricing migrations or annual plan launches, where stale plan data quietly breaks segmentation in your revenue reporting.
Use case
Failed Payment and Dunning Event Logging
tray.ai can listen for failed payment and dunning events in Chargify and log them in ChartMogul as contraction or at-risk signals, giving your customer success team early warning of potential involuntary churn. Correlating payment failures with churn cohorts tells you how much revenue is lost to billing issues versus genuine cancellations — and makes churn analysis a lot more honest.
Get started with Chargify & ChartMogul integration today
Chargify & ChartMogul Challenges
What challenges are there when working with Chargify & ChartMogul and how will using Tray.ai help?
Challenge
Mapping Chargify Subscription States to ChartMogul Event Types
Chargify uses its own subscription states — active, past_due, canceled, expired, on_hold — that don't map one-to-one to ChartMogul's event model of new business, expansion, contraction, churn, and reactivation. Mapping them incorrectly means miscalculated MRR and inaccurate churn rates.
How Tray.ai Can Help:
tray.ai's workflow logic layer lets you build conditional branching that inspects each Chargify event type and maps it to the correct ChartMogul event, including edge cases like mid-cycle plan changes and component-based billing adjustments, without writing custom code.
Challenge
Handling Chargify's Component-Based and Metered Billing in ChartMogul
Chargify supports components, metered usage, and quantity-based pricing that make MRR calculation non-trivial. Pushing raw billing data to ChartMogul without aggregating components first produces overstated or understated MRR figures.
How Tray.ai Can Help:
tray.ai lets you build calculation steps within the workflow that aggregate all active components and quantities for a given subscription before posting the final MRR value to ChartMogul, so your analytics reflect true recurring revenue regardless of billing complexity.
Challenge
Avoiding Duplicate Customer Records in ChartMogul
When the same customer appears multiple times in Chargify — due to test subscriptions, migrations, or multiple products — naive integrations often create duplicate customer profiles in ChartMogul, polluting analytics with inflated customer counts and fragmented LTV data.
How Tray.ai Can Help:
tray.ai workflows can include a deduplication step that checks for an existing ChartMogul customer using the Chargify customer ID or email before creating a new record, and merges subscription data into the correct profile when a match is found.
Challenge
Maintaining Historical Data Integrity During Initial Migration
When you first connect Chargify to ChartMogul, you need to backfill historical subscription events — not just current active subscriptions — so ChartMogul's MRR history, cohort charts, and churn trends are accurate from the start. Doing this manually is slow and error-prone.
How Tray.ai Can Help:
tray.ai supports paginated bulk data workflows that can iterate through Chargify's historical subscription records and feed them into ChartMogul in chronological order with correct event dates, enabling a clean historical backfill without manual CSV manipulation.
Challenge
Keeping ChartMogul in Sync During Chargify Webhook Failures or Delays
Relying solely on Chargify webhooks means any webhook failure, retry storm, or delivery delay can leave ChartMogul out of sync with the actual billing state, resulting in temporarily wrong MRR figures and missed churn events.
How Tray.ai Can Help:
tray.ai has built-in error handling, automatic retries, and support for scheduled reconciliation workflows that cross-check Chargify API data against ChartMogul records, catching and correcting any events missed due to webhook failures.
Start using our pre-built Chargify & ChartMogul templates today
Start from scratch or use one of our pre-built Chargify & ChartMogul templates to quickly solve your most common use cases.
Chargify & ChartMogul Templates
Find pre-built Chargify & ChartMogul solutions for common use cases
Template
Sync New Chargify Subscriptions to ChartMogul in Real Time
This template listens for new subscription created events in Chargify via webhook and automatically creates or updates the corresponding customer and subscription record in ChartMogul, so your analytics platform is always current.
Steps:
- Receive a new subscription webhook event from Chargify
- Look up or create the customer record in ChartMogul using the Chargify customer ID or email
- Create a new subscription entry in ChartMogul with the correct plan, MRR value, and start date
Connectors Used: Chargify, ChartMogul
Template
Push Chargify Cancellation Events to ChartMogul as Churn
When a subscription is cancelled in Chargify, this template sends a cancellation event to ChartMogul with the correct date, so churn metrics are recorded precisely and without delay.
Steps:
- Capture a subscription cancelled or expired webhook from Chargify
- Retrieve the matching ChartMogul customer and subscription using the external ID
- Post a cancellation event to ChartMogul with the exact cancellation timestamp and reason
Connectors Used: Chargify, ChartMogul
Template
Sync Chargify Plan Upgrades and Downgrades to ChartMogul
This template detects subscription component or plan change events in Chargify and updates the corresponding subscription in ChartMogul to reflect the new MRR value, correctly categorizing the event as expansion or contraction revenue.
Steps:
- Listen for a subscription product change or component update webhook in Chargify
- Calculate the new MRR based on the updated plan price and billing interval
- Update the ChartMogul subscription with the new MRR value and event type — expansion or contraction
Connectors Used: Chargify, ChartMogul
Template
Daily Chargify to ChartMogul Full Reconciliation Sync
This template runs on a daily schedule to compare active subscriptions in Chargify with records in ChartMogul, identifying and correcting discrepancies to keep data consistent across both platforms.
Steps:
- Retrieve all active subscriptions from Chargify using a paginated API call
- Fetch the corresponding subscription records from ChartMogul and compare MRR values and statuses
- Create, update, or flag any records that are missing or mismatched between the two platforms
Connectors Used: Chargify, ChartMogul
Template
Auto-Log Chargify Reactivations in ChartMogul
This template detects subscription reactivation events in Chargify and posts the reactivation event to ChartMogul, so previously churned customers are correctly reclassified and their MRR is restored in your analytics.
Steps:
- Capture a subscription reactivated webhook from Chargify
- Look up the existing ChartMogul customer record using the Chargify external customer ID
- Post a reactivation event to ChartMogul with the correct date and restored MRR value
Connectors Used: Chargify, ChartMogul
Template
Chargify Failed Payment Alert and ChartMogul At-Risk Tagging
When Chargify fires a payment failure or dunning event, this template tags the matching ChartMogul customer as at-risk and optionally notifies the customer success team, so you can intervene before the account churns.
Steps:
- Receive a payment failure or dunning initiated webhook from Chargify
- Find the matching customer in ChartMogul using the subscription external ID
- Add a custom attribute or tag to the ChartMogul customer profile to flag them as at-risk for follow-up
Connectors Used: Chargify, ChartMogul