Chargebee IntegrationTurn 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.
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
25 Chargebee metrics ready to add to your metric trees.
Add-on Revenue Analysis
Subscription BillingMetric Definition
Add-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.
Annual Recurring Revenue
Subscription BillingMetric Definition
ARR = 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.
Average Revenue Per User
Subscription BillingMetric Definition
ARPU = 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.
CAC Payback Period
Subscription BillingMetric Definition
CAC 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.
Cohort Retention Analysis
Subscription BillingMetric Definition
Cohort 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.
Coupon Redemption Rate
Subscription BillingMetric Definition
Coupon 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.
Credit Note Impact Analysis
Subscription BillingMetric Definition
Credit 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.
Customer Churn Rate
Subscription BillingMetric Definition
Customer 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.
Customer Lifetime Value
Subscription BillingMetric Definition
LTV = 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.
Customer Segmentation Analysis
Subscription BillingMetric Definition
Customer 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.
Days Sales Outstanding
Subscription BillingMetric Definition
DSO = (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.
Dunning Campaign Effectiveness
Subscription BillingMetric Definition
Dunning 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.
Failed Payment Rate
Subscription BillingMetric Definition
Failed 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.
Geographic Revenue Distribution
Subscription BillingMetric Definition
Geographic revenue distribution breaks down subscription revenue by country or region. It shows market concentration, identifies growth opportunities in underserved regions, and highlights currency exposure.
Invoice Collection Rate
Subscription BillingMetric Definition
Invoice 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.
Monthly Recurring Revenue
Subscription BillingMetric Definition
MRR = 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.
Net Revenue Retention
Subscription BillingMetric Definition
NRR = ((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.
Payment Method Analysis
Subscription BillingMetric Definition
Payment 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.
Plan Performance Analysis
Subscription BillingMetric Definition
Plan 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.
Plan Upgrade Rate
Subscription BillingMetric Definition
Plan 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.
Revenue Churn Rate
Subscription BillingMetric Definition
Revenue 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.
Revenue Cohort Analysis
Subscription BillingMetric Definition
Revenue 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.
Seasonal Revenue Trends
Subscription BillingMetric Definition
Seasonal revenue trends analysis identifies recurring patterns in subscription revenue, sign-ups, and churn across calendar periods. It helps distinguish genuine growth from cyclical fluctuations.
Subscription Growth Rate
Subscription BillingMetric Definition
Subscription 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.
Subscription Lifecycle Analysis
Subscription BillingMetric Definition
Subscription 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.
Related integrations
Other data sources that work with KPI Tree.
Common questions
- Through Chargebee's hosted MCP Agent Server. Chargebee ships an official hosted MCP server that exposes customers, subscriptions, invoices, MRR, ARR, churn, trials, and coupons as queryable tools over Streamable HTTP, and KPI Tree consumes it directly. Teams that have already replicated Chargebee to Snowflake, BigQuery, or another warehouse via Fivetran or Airbyte point KPI Tree at the warehouse instead so attribution and period comparisons work against the copy your finance team trusts. Teams that have not built that pipeline engage our professional services team, which delivers the warehouse, the Chargebee ELT, and a dbt semantic layer for subscription metrics as a fixed-scope project.
- Any metric you can compute from Chargebee data in your warehouse: MRR, ARR, net new MRR, expansion revenue, contraction revenue, churn rate (voluntary and involuntary), dunning recovery rate, ARPU, LTV, trial conversion rate, plan distribution, billing cycle mix, and more. If it exists as a SQL query against your Chargebee tables, it can be a KPI Tree metric.
- No. You can define metrics directly with SQL against your Chargebee warehouse tables. If you do have a dbt semantic layer with Chargebee metrics already defined, KPI Tree can sync those definitions automatically via the dbt Cloud or dbt Core integration.
- It depends on your connection method. With MCP, you can be pulling Chargebee metrics in minutes - no warehouse required. If your data is already in a warehouse, connecting KPI Tree takes under an hour. Teams with a dbt semantic layer can sync Chargebee metrics in one click. For Professional Services engagements where we build the AI foundations, timelines depend on scope but typically take a few weeks.
- No. Chargebee's reporting is designed for billing operations - invoice status, payment retries, subscription management. KPI Tree serves a different purpose: modelling how subscription metrics causally drive each other, assigning ownership, and creating accountability loops. Most teams use both.
- Yes. Any dimension available in your Chargebee warehouse tables can be used to decompose metrics. MRR by plan tier, churn by cohort, expansion by geography - each breakdown becomes its own metric node with independent ownership and monitoring.
- KPI Tree connects to your warehouse using the same security model you already have in place - RSA key-pair authentication for Snowflake, service account credentials for BigQuery, and so on. KPI Tree queries your warehouse and processes results in its own engine. Your warehouse governance, network policies, and access controls remain fully enforced.
- Yes. That is one of the core advantages. A single metric tree can include Chargebee subscription metrics alongside Stripe payment metrics, HubSpot pipeline data, and product usage data - all queried from your warehouse. KPI Tree's correlation engine analyses relationships across all of them.
Related guides
Deep dives into the frameworks and metrics that work with Chargebee.
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.
