Usage collapses months before the renewal
Consumption against entitlement is the earliest churn signal a subscription business has — typically well ahead of anything in the CRM. If nobody is watching it, the first indication is the non-renewal.
Chargebee · Revenue Operations & AI
Your billing system knows a customer is leaving months before your CRM does.
Declining usage against entitlement, a downgrade, a failed payment nobody worked, an invoice aging past sixty days — the signals are already in the billing data. They just never reach anyone who can act. We build the revenue operations layer that turns those signals into actions, and we are specific about which parts the AI actually does.
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Trusted by 500+ organizations — including SaaS, subscription and usage-based businesses running their quote-to-revenue operations on Salesforce, HubSpot and Chargebee with Twopir Consulting.
RevOps Coverage
- Salesforce Partner
- HubSpot Partner
- Churn & Retention
- Payment Recovery
- Expansion Signals
- AR & Collections
- Renewal Motion
- Forecasting
The revenue events your systems already know about
None of these require new data. Every one is sitting in the billing system right now, unrouted, because nobody built the path from signal to action.
Failed payments are not owned by anyone
The retry sequence runs, it ends, and the subscription cancels. Nobody segmented the failure by reason, nobody intervened on the high-value accounts, and the loss is booked as churn rather than as a payments problem.
Expansion is discovered at renewal
A customer has been over their included quota for four months. That is an upsell conversation that should have happened in month one, not a surprise overage line on the renewal invoice.
Overdue invoices age quietly
Invoiced revenue sits in an aging bucket with no recorded follow-up, because collections is one person working a spreadsheet in the order they can remember.
Cancellations go straight through
The cancel flow is a confirmation dialog. No reason captured, no offer presented, no data gathered — so the same churn driver recurs next quarter with nothing learned.
The forecast is built by hand
Renewal pipeline in one system, usage trend in another, payment risk in a third. The forecast is assembled monthly and is stale by the time it is presented.
RevOps in a subscription business, defined narrowly enough to be useful
Revenue operations in a subscription business is the function that owns the path from signal to action across the whole revenue lifecycle — acquisition, activation, expansion, retention, recovery and renewal — and owns the systems that make that path run without a person assembling it each month.
In a Chargebee context that means three concrete things: the signals exist and are measured, the routing decides who or what acts on each one, and the action happens in the billing layer rather than in a document. Everything else is reporting.
| Motion | The signal | The action, and where it happens |
|---|---|---|
| Involuntary churn recovery | Payment failure segmented by decline reason, plus card expiry in the next 90 days. | Retry schedule tuned by failure type, dunning sequence, proactive card-update campaign — all in the billing layer. |
| Voluntary churn interception | Usage decline against entitlement, support sentiment, a downgrade, login decay. | Risk-scored account list routed to CS, plus a retention offer presented in the cancel flow itself. |
| Expansion | Consumption consistently over the included quota, seat growth, entitlement limits being hit. | Expansion alert to the account owner with the usage evidence attached, well before the renewal date. |
| Collections | Invoice aging, promise-to-pay status, dispute state, customer payment history. | Automated outreach sequences segmented by risk, with payment links, escalating on a schedule. |
| Renewal | Term end date, escalator, notice period, usage trend and support history. | Renewal task raised early with the commercial context, priced from the catalog rather than negotiated from memory. |
| Forecasting | Committed revenue, renewal pipeline, usage trend, payment risk. | A forecast computed from governed definitions rather than assembled monthly in a spreadsheet. |
Automated, recommended, or still your judgement
Chargebee describes AI across several modules, and the capability is real — but "AI-native" is doing a lot of work in most vendor and agency copy. Here is the separation we hold clients to.
| Capability | What the platform does | What it does not do |
|---|---|---|
| Churn risk scoring | Scores subscribers for churn risk using billing and behavioural signals, and can trigger targeted retention offers before a cancellation. | Decide your retention strategy, or judge whether a given account is worth a discount. The score prioritises; a person sets the policy. |
| Cancel-flow offers | Presents targeted offers in the cancellation experience and captures the reason, with offers applied at the billing layer. | Design the offer ladder or decide what margin you will give away. Badly chosen offers train customers to threaten cancellation. |
| Collections segmentation | Segments customers by risk, automates reminder and dunning sequences, and surfaces open invoices, promises to pay and disputes on one record. | Have the difficult conversation with a large overdue account, or decide when to stop chasing and escalate. |
| Payment diagnostics | Detects failure patterns, authorisation-rate drops and gateway-level inefficiencies, with estimated revenue impact per issue and prescriptive recommendations. | Change your gateway mix, renegotiate rates, or implement the routing change. Diagnosis is not remediation. |
| Retry optimisation | Runs intelligent retry sequences that target better times to attempt recovery rather than a fixed schedule. | Decide how much retry pressure is acceptable for your brand, or what happens when the sequence ends. |
| Pricing and offer experiments | Lets teams deploy price experiments, contextual offers and renewal optimisations without engineering work. | Choose what to test, or tell you whether a result is significant rather than seasonal. |
Our position: these features genuinely work, and they work on the quality of the data underneath them. A churn score built on a fragmented catalog and an unreconciled CRM will confidently rank the wrong accounts. Fix the record first, then turn on the scoring — in that order, every time.
Data Readiness First
Scoring is only as good as the record beneath it: Chargebee optimization services — auditing and fixing the billing data these models read Chargebee reporting and revenue analytics — governing the metrics the motions are measured against Chargebee consulting services — the wider Chargebee practice
The revenue operations layer, motion by motion
Involuntary Churn Recovery
The highest-return RevOps motion in most subscription businesses, and the most commonly unowned. Failure reason drives everything: hard and soft declines need opposite treatment.
- Decline segmentation by error reason
- Retry schedules tuned per failure type
- Dunning sequences with escalation paths
- Card expiry campaigns ahead of failure
- High-value account intervention rules
Retention & Cancel Experience
Turning the cancellation flow from a confirmation dialog into the last and best retention opportunity, with the reason captured so the driver can be fixed.
- Cancel flow design and reason capture
- Offer ladder design and margin guardrails
- Churn risk scoring configured on clean data
- Risk-scored accounts routed to CS with context
- Churn driver analysis feeding product and pricing
Expansion Motion
Usage against entitlement is the clearest expansion signal in a subscription business, and in most companies nobody is subscribed to it.
- Usage-against-entitlement monitoring
- Expansion alerts with the evidence attached
- Seat and quota growth triggers
- Upgrade paths surfaced in the portal
- Expansion attribution in reporting
Collections & AR Operations
For invoiced revenue, replacing the spreadsheet with segmented sequences, tracked promises to pay, and a dispute workflow on the billing record.
- AR aging and DSO baseline
- Risk-segmented outreach sequences
- Promise-to-pay and dispute tracking
- Payment links in reminders and the portal
- Escalation rules and collections reporting
Renewal Operations
Renewals raised early with commercial context attached, priced from the catalog rather than reconstructed from an old contract.
- Term, escalator and notice period tracking
- Renewal tasks raised on a lead time that works
- Usage and support history on the renewal record
- Uplift applied automatically where contracted
- Renewal rate reporting by cohort
RevOps Tooling & Governance
The operating layer underneath the motions: who owns which signal, what the thresholds are, and how it is all measured.
- Signal-to-owner routing rules
- Alert thresholds and escalation policy
- CRM surfacing of billing context
- Motion performance reporting
- Review cadence and ownership model
The systems a RevOps motion has to read and write
A motion only works if the signal can be read and the action can be written. Both halves, named.
Read: Chargebee billing data
Subscription state, plan history, invoice and payment outcomes, dunning status and AR aging. The raw material for every recovery, collections and renewal motion.
Read: product usage
Consumption against entitlement, aggregated by metered features. The earliest expansion and churn signal most subscription businesses have, and usually the least used.
Write: Salesforce
Risk scores, expansion signals, payment status and renewal context written onto the Account and subscription object, so the owner sees the signal in the system they already work in rather than in a separate dashboard.
Write: HubSpot
Subscription, MRR and payment-state properties driving lists, sequences and lifecycle workflows — including sequences triggered by a failed payment or a usage decline.
Read: payment performance
Authorisation and decline rates by gateway, currency and geography with declines segmented by error reason, which is what makes recovery targeted rather than generic.
Write: the billing layer itself
Retention offers, discounts, plan changes and retry behaviour applied where they actually take effect. An offer that lives in a CS conversation and never reaches billing is not a motion.
One motion at a time, each one measured
Five stages, run per motion rather than as one programme. A RevOps transformation that goes live all at once cannot tell you which part worked.
Signal Audit
What is already measurable, what is measured but unrouted, and what genuinely needs new instrumentation. Most companies are richer in signal than they think.
Motion Design
For the highest-value motion: the signal, the threshold, the owner, the action and the system it happens in. Written down before anything is configured.
Data Readiness
Signals are only as good as the record beneath them. Catalog, CRM sync and entitlement data are checked before any scoring is switched on.
Build & Route
Detection configured, scores surfaced in the CRM, sequences and offers built, escalation rules in place, with a baseline captured first.
Measure & Extend
Recovery rate, save rate, expansion attributed, DSO. Once the motion is proven, the next one starts — not before.
Revenue operations engagements we have delivered
Building the operating layer between signal and action is what most Twopir engagements are ultimately for.
Sales Operations & Lead Management
A revenue motion rebuilt end to end: signals captured cleanly, routed to owners, and reported on one operating view.
- Signal capture and routing rules
- Ownership and escalation model
- Pipeline and stage redesign
- Operating reporting for leadership
Salesforce & HubSpot Integration
Marketing, sales and revenue signals unified across two platforms so lifecycle motions could act on a complete customer picture.
- Cross-platform signal unification
- Lifecycle stage alignment
- Attribution joined to revenue
- Segmentation across both systems
Accounting Seed & Salesforce Integration
Financial signals surfaced on the operating record so billing and collections context reached the people handling the customer relationship.
- Financial data on the CRM record
- Bi-directional synchronisation
- Billing context for customer-facing teams
- Reconciliation designed into the close
We fix the record before we switch on the scoring
We help growing and mid-market companies solve complex CRM, integration and business system challenges, and we work with enterprise revenue teams on the same motions across more products and markets.
We are specific about what the AI does
Scoring prioritises work; it does not set retention policy. Diagnostics identify a gateway problem; they do not renegotiate your rates. We separate automated, recommended and still-your-judgement in writing, so nobody buys a capability they then have to staff around.
We insist on data readiness first
A churn model reading a fragmented catalog and an unreconciled CRM will rank the wrong accounts confidently. We check the record before switching on scoring, even when that delays the interesting part of the project.
We build one motion at a time
Each motion goes live with a baseline and is measured before the next one starts. A RevOps programme that launches everything at once cannot tell you which part earned its keep.
We write the action back into the system of work
Signals surfaced in the CRM the owner already lives in, and offers applied in the billing layer where they take effect. A dashboard nobody opens is not a revenue motion.
We work across billing and CRM as one problem
As a Salesforce Partner and HubSpot Partner we build both halves. Most RevOps failures happen in the gap between the system that holds the signal and the system where the work gets done.
RevOps questions with the hype removed
It is the function that owns the path from signal to action across the revenue lifecycle — acquisition, activation, expansion, retention, recovery and renewal — plus the systems that make that path run without someone assembling it manually each month. Concretely: the signal is measured, the routing decides who or what acts on it, and the action happens in a system rather than in a document.
It helps with a specific part of it. Chargebee can score subscribers for churn risk from billing and behavioural signals and trigger targeted retention offers before a cancellation, and its payment intelligence detects failure patterns and authorisation-rate drops with estimated revenue impact per issue. What it does not do is set your retention strategy, decide which accounts deserve a discount, or fix the product problem driving the churn. It prioritises the work; people still decide what the work is.
Involuntary churn recovery, almost always. It has the shortest path from change to measurable result, it does not require anyone to change how they sell, and in most subscription businesses nobody currently owns it. Segmenting declines by failure reason and tuning retry timing accordingly is usually the single highest-return change available.
Earlier than the CRM, in our experience — consumption against entitlement typically moves well before anything a rep would log. We deliberately do not publish a predictive window as a number, because it varies enormously by product and contract shape, and any specific figure we quoted would be marketing rather than measurement. Instrumenting your own base gives you the real answer within a quarter.
Billing alone gives you the data. The additional modules give you the motion — Chargebee Retention, now part of Chargebee Growth, covers churn scoring and the cancel experience, and Reveal covers payment performance diagnostics across gateways. If voluntary churn is your constraint, or you run several gateways and nobody owns authorisation rates, they earn their place. If neither is true yet, configure what you have properly first.
A catalog that is not fragmented, a CRM and billing system that agree on subscription state, and entitlement data that reflects what customers actually bought. Scoring built on a messy record produces confident rankings of the wrong accounts, which is worse than no scoring at all because people act on it. We check this before switching anything on.
The signal detection belongs where the data is, and the action belongs where it takes effect — which for offers, discounts and retries means the billing layer. What we do put in the CRM is the surfacing: risk scores, expansion signals and payment status written onto the Account or company record, so the owner sees it in the system they already work in. As a Salesforce Partner and HubSpot Partner we build that side too.
Next Step
The signals are already in your billing data. Build the path to someone who can act.
We will audit what is measurable today, design the highest-value motion, check the data underneath it, and build it with a baseline so you can tell whether it worked.
One motion at a time, each one measured before the next
