Chargebee Integration
Turn Chargebee subscription data into a causal map of what actually drives your recurring revenue.
Chargebee tracks every subscription event, new plans, upgrades, downgrades, cancellations, dunning attempts, invoice payments. KPI Tree consumes Chargebee data through Chargebee's hosted MCP Agent Server, through your own warehouse where Chargebee data already lands via Fivetran or Airbyte, or through a professional services engagement that builds the full stack. Once connected, KPI Tree does what no billing dashboard can: it models how MRR, churn, expansion, contraction, and dunning recovery causally drive each other, assigns ownership to every metric, and closes the loop between a number moving and someone doing something about it. Your billing data stops being a report and starts being a system of accountability.
From billing events to accountable metric trees
KPI Tree connects to Chargebee through Chargebee's hosted MCP Agent Server, your warehouse, or a professional services engagement that builds the stack for you.
Connect your Chargebee data
Three ways to get started, depending on your stack.
Pull metrics from Chargebee directly through the Model Context Protocol.
Connect your existing warehouse where Chargebee data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Map subscription metrics from Chargebee tables
Define metrics from your Chargebee data - MRR, net new MRR, churn rate, expansion revenue, contraction revenue, dunning recovery rate, ARPU, trial conversion rate, and more. Write SQL against your existing tables or sync metric definitions from your dbt semantic layer if you have one.
Build causal trees and assign ownership
Arrange metrics into parent-child trees that model how they drive each other. MRR decomposes into new, expansion, contraction, and churned MRR. Each node gets a RACI owner, statistical monitoring, and personalised alerts. When churn spikes, the responsible team knows before the board deck lands.
Subscription intelligence your billing platform cannot provide
Chargebee handles billing orchestration. KPI Tree adds the analytical and organisational layer that turns subscription events into understood, owned, and acted-upon revenue metrics.
MRR decomposition trees built from billing events
Break MRR into new, expansion, contraction, and churned components - then decompose further by plan, cohort, geography, or any dimension in your warehouse. Each node in the tree is a metric with its own owner, trend analysis, and statistical alerts. You see not just that MRR changed, but which component drove it and who is responsible.
Causal analysis between subscription metrics
KPI Tree runs Pearson correlations, Granger causality tests, and regression analysis across your Chargebee metrics. Discover that dunning recovery rate is a leading indicator of net churn, or that trial-to-paid conversion correlates with specific plan configurations. These are statistical relationships grounded in your actual billing data, not assumptions.
Alerts that reach the right person with the right context
When expansion revenue drops or involuntary churn spikes, the metric owner receives a push notification via Slack, Email, WhatsApp, or SMS - with statistical context showing what moved, by how much, and which correlated metrics shifted at the same time. No more checking dashboards hoping someone notices.
Decompose MRR into the components that actually explain it.
Chargebee gives you a total MRR number. KPI Tree decomposes it into a causal tree: new MRR from first subscriptions, expansion from upgrades and add-ons, contraction from downgrades, and churn from cancellations and failed payments. Each component breaks further by plan tier, billing cycle, acquisition channel, or any dimension in your warehouse. When MRR misses target, you trace the tree to the exact component and the person accountable for it - no Slack thread required.
- New, expansion, contraction, and churned MRR as separate owned metrics
- Further decomposition by plan, cohort, geography, or custom dimensions
- Each node carries RACI ownership and statistical monitoring
- Period-over-period comparison shows which components drove the change
Dunning and involuntary churn as first-class metrics, not afterthoughts.
Failed payments and dunning recovery sit in Chargebee's data but rarely get the analytical attention they deserve. In KPI Tree, dunning recovery rate, involuntary churn rate, and retry success rate are full metrics with owners, alerts, and causal links to net revenue retention. When your payment failure rate creeps up, the owner of that metric is alerted with statistical context - not buried in a billing operations tab.
- Dunning recovery rate, retry success rate, and involuntary churn tracked independently
- Causal links to net revenue retention and overall churn
- Alerts trigger when payment failure patterns deviate from baseline
- Ownership ensures someone is accountable for payment recovery outcomes
Statistical analysis reveals what drives retention - and what kills it.
KPI Tree's correlation and causality engine runs across every Chargebee metric in your tree. It surfaces relationships your team may never have tested: that annual billing correlates with lower churn, that add-on attachment rate is a leading indicator of expansion revenue, or that specific plan tiers show statistically different retention curves. These insights are computed from your data, not industry benchmarks - and each one links to the metric owner who can act on it.
- Pearson correlation and Granger causality across all subscription metrics
- Leading indicator detection between billing events and revenue outcomes
- Regression analysis isolates the largest drivers of churn and expansion
- Every insight links to the responsible metric owner for action
Ownership and accountability at the metric level, not the dashboard level.
Chargebee dashboards show billing data. KPI Tree assigns responsibility for it. Every metric node - from top-level MRR down to dunning recovery by payment method - gets a RACI matrix: who is Responsible, Accountable, Consulted, and Informed. When a metric moves outside its expected range, the right people are notified with the statistical context they need to act. Actions are tracked against the specific metric they target, and impact is verified after the fact. The gap between "a number moved" and "someone did something about it" closes.
- RACI ownership assigned to every metric in the tree
- Push notifications via Slack, Email, WhatsApp, or SMS with statistical context
- Action tracking links initiatives to the metrics they target
- Impact verification shows whether actions moved the metric as expected
What KPI Tree adds that Chargebee reporting cannot
Chargebee's built-in analytics show you what happened to your subscriptions. KPI Tree models why it happened, who owns it, and what is being done about it.
Every source resolves onto one causal tree.
Causal structure, not flat dashboards
Chargebee reports show metrics side by side. KPI Tree arranges them in parent-child trees that model how they drive each other - so when MRR drops, you trace the cause through the tree instead of scanning charts.
Metric-level ownership across the business
Billing dashboards are shared with the finance team. KPI Tree assigns RACI ownership to every metric node - from top-level ARR down to dunning recovery by payment method - so accountability extends to product, growth, and customer success.
Statistical analysis grounded in billing data
Chargebee shows trends and totals. KPI Tree runs correlation, causality, and regression analysis across your subscription metrics to surface the relationships that explain why metrics move - computed from your data, not industry averages.
Metrics you can track. Ready to add to your metric trees.
25 Chargebee metrics, defined and ready to drop onto a tree.
Add-on Revenue Analysis
Subscription BillingAdd-on revenue analysis measures the total revenue generated from optional add-ons attached to subscription plans. It breaks down which add-ons drive the most incremental value and how adoption rates change over time.
View metricAnnual Recurring Revenue
Subscription BillingARR = MRR × 12
Annual recurring revenue (ARR) is the annualised value of all active subscription contracts. It normalises monthly, quarterly, and annual billing cycles into a single yearly figure that represents predictable revenue.
View metricAverage Revenue Per User
Subscription BillingARPU = Total MRR / Active Subscribers
Average revenue per user (ARPU) divides total recurring revenue by the number of active subscribers. It captures how effectively your pricing and packaging converts users into revenue.
View metricCAC Payback Period
Subscription BillingCAC Payback Period = Customer Acquisition Cost / (ARPU × Gross Margin %)
CAC payback period measures the number of months required for a new subscriber to generate enough gross margin to recover the cost of acquiring them. It is a critical efficiency metric linking sales spend to subscription revenue.
View metricCohort Retention Analysis
Subscription BillingCohort retention analysis groups subscribers by their sign-up period and tracks what percentage remain active over subsequent months. It reveals whether retention is improving or deteriorating for newer cohorts compared to older ones.
View metricCoupon Redemption Rate
Subscription BillingCoupon Redemption Rate = (Coupons Redeemed / Coupons Issued) × 100
Coupon redemption rate measures the percentage of issued coupons that are actually applied to subscriptions. It indicates how effectively promotional campaigns convert prospects or incentivise upgrades.
View metricCredit Note Impact Analysis
Subscription BillingCredit note impact analysis measures the total value and frequency of credit notes issued against invoices. It quantifies revenue leakage from refunds, billing corrections, and goodwill credits.
View metricCustomer Churn Rate
Subscription BillingCustomer Churn Rate = (Churned Customers / Start-of-Period Customers) × 100
Customer churn rate is the percentage of subscribers who cancel their subscriptions within a given period. It is the inverse of retention and one of the most critical health indicators for any subscription business.
View metricCustomer Lifetime Value
Subscription BillingLTV = ARPU / Customer Churn Rate
Customer lifetime value (LTV) estimates the total revenue a subscriber will generate over their entire relationship. It combines average revenue per user with expected customer lifespan to quantify long-term value.
View metricCustomer Segmentation Analysis
Subscription BillingCustomer segmentation analysis groups subscribers by attributes such as plan tier, billing frequency, geography, or revenue contribution. It identifies high-value segments and surfaces patterns that inform pricing and retention strategies.
View metricDays Sales Outstanding
Subscription BillingDSO = (Accounts Receivable / Total Revenue) × Number of Days
Days sales outstanding (DSO) measures the average number of days it takes to collect payment after an invoice is issued. Lower DSO indicates faster cash collection and healthier working capital.
View metricDunning Campaign Effectiveness
Subscription BillingDunning Effectiveness = (Recovered Payments / Total Failed Payments) × 100
Dunning campaign effectiveness measures the percentage of failed payments successfully recovered through automated retry and communication sequences. It quantifies how well your recovery process prevents involuntary churn.
View metricFailed Payment Rate
Subscription BillingFailed Payment Rate = (Failed Payments / Total Payment Attempts) × 100
Failed payment rate is the percentage of subscription payment attempts that are declined or fail to process. It encompasses card declines, insufficient funds, expired cards, and gateway errors.
View metricGeographic Revenue Distribution
Subscription BillingGeographic revenue distribution breaks down subscription revenue by country or region. It shows market concentration, identifies growth opportunities in underserved regions, and highlights currency exposure.
View metricInvoice Collection Rate
Subscription BillingInvoice Collection Rate = (Paid Invoices / Total Invoices Issued) × 100
Invoice collection rate measures the percentage of issued invoices that are successfully paid within the billing period. It reflects the health of your billing and collections process.
View metricMonthly Recurring Revenue
Subscription BillingMRR = Sum of (Active Subscription Monthly Value)
Monthly recurring revenue (MRR) is the normalised monthly value of all active subscriptions. It aggregates annual, quarterly, and monthly plans into a single monthly figure for consistent period-over-period comparison.
View metricNet Revenue Retention
Subscription BillingNRR = ((Start MRR + Expansion - Contraction - Churn) / Start MRR) × 100
Net revenue retention (NRR) measures the percentage of recurring revenue retained from existing customers, including expansions, contractions, and churn. An NRR above 100% means existing customers generate more revenue than they did a year ago.
View metricPayment Method Analysis
Subscription BillingPayment method analysis examines the distribution and performance of payment methods used by subscribers, including credit cards, direct debit, ACH, and digital wallets. It correlates payment method with success rates and churn.
View metricPlan Performance Analysis
Subscription BillingPlan performance analysis evaluates how each subscription plan contributes to revenue, growth, and retention. It compares plans on metrics like adoption, ARPU, churn rate, and upgrade/downgrade patterns.
View metricPlan Upgrade Rate
Subscription BillingPlan Upgrade Rate = (Upgrades in Period / Active Subscribers at Start) × 100
Plan upgrade rate measures the percentage of subscribers who move to a higher-value plan within a given period. It is a key indicator of product value realisation and expansion revenue potential.
View metricRevenue Churn Rate
Subscription BillingRevenue Churn Rate = (Churned MRR / Start-of-Period MRR) × 100
Revenue churn rate (also called MRR churn rate) is the percentage of recurring revenue lost from cancellations and downgrades in a given period. It captures the monetary impact of attrition, which can differ significantly from customer churn rate.
View metricRevenue Cohort Analysis
Subscription BillingRevenue cohort analysis tracks the revenue contribution of subscriber groups over time, grouped by sign-up period. Unlike customer retention cohorts, it accounts for expansions and contractions within each cohort.
View metricSeasonal Revenue Trends
Subscription BillingSeasonal revenue trends analysis identifies recurring patterns in subscription revenue, sign-ups, and churn across calendar periods. It helps distinguish genuine growth from cyclical fluctuations.
View metricSubscription Growth Rate
Subscription BillingSubscription Growth Rate = ((End Subscribers - Start Subscribers) / Start Subscribers) × 100
Subscription growth rate measures the net percentage change in active subscribers over a period. It accounts for new subscriptions, reactivations, and cancellations to show the overall trajectory of your subscriber base.
View metricSubscription Lifecycle Analysis
Subscription BillingSubscription lifecycle analysis maps the complete journey from trial or sign-up through activation, expansion, and eventual cancellation or renewal. It identifies conversion rates and drop-off points at each stage.
View metricRelated integrations. More sources that work with KPI Tree.
Common questions
How does Chargebee data reach KPI Tree?
What Chargebee metrics can I track in KPI Tree?
Do I need a dbt semantic layer to use this integration?
How long does setup take?
Does KPI Tree replace Chargebee's built-in reporting?
Can I break metrics down by plan, cohort, or geography?
Is my billing data secure?
Can I combine Chargebee metrics with data from other tools?
Related guides. Frameworks and metrics in depth.
Deep dives into the frameworks and metrics that work with Chargebee.
How to build a metric tree
A step-by-step metric tree and KPI tree template from North Star to daily levers
Metric trees for subscription businesses
Structuring recurring revenue metrics across media, physical goods, and D2C models
Monthly recurring revenue: a metric tree decomposition
The predictable monthly revenue from active subscriptions and how to decompose it into growth drivers
Net revenue retention: formula, benchmarks and levers
Decompose net revenue retention into the drivers that move it
Churn rate analysis: formulas, benchmarks and fixes
Run a churn rate analysis that finds causes, not just symptoms
Your subscription data deserves more than a billing dashboard.
Connect your warehouse to KPI Tree and turn Chargebee billing events into causal metric trees with ownership, statistical analysis, and accountability that extends across your entire organisation.
