B2B recurring revenue businesses have all the data. What they lack is a structure that makes numbers agree across teams and ties every decision to evidence. The Recurring Revenue Intelligence is that structure: every KPI standardised once, then addressable by customer, by product and by stage of the customer journey.
Not another dashboard programme. A governed commercial data model that answers the board's "so what": which lever, for which customers, on which products, at which stage.
The journey slice of Recurring Revenue Intelligence is where most of the operating value lives, because it is where handoffs fail: marketing's funnel ends where sales' begins, and customer success starts from zero. On one spine, each stage inherits the evidence of the last. Scroll to move through the five stages.
Even businesses with fifty dashboards and every KPI imaginable still struggle to answer specific questions. Reports end at the movement: ARR fell, NRR slipped, churn rose. The B2B Recurring Revenue Intelligence decomposes every movement into its named drivers: which customers, which products, which stage of the journey, which channel, and maps each driver to a lever the business actually owns.
Ask sales, marketing, operations and finance for annual recurring revenue and you will receive four different numbers, each correct by its own definition.
Standardisation collapses the four answers into a single measure, for a single customer, on a single product, at a single stage of the journey. That cell is the atom of Recurring Revenue Intelligence. Every report, forecast and board review is assembled from the same data, so the numbers reconcile by construction, not by a quarterly reconciliation effort, and every movement in them decomposes into named drivers, the raw material for levers.
Contracted annual recurring revenue, with opening and closing positions reconciled to revenue recognised under IFRS 15, so the sales view and the finance view are two cuts of one number.
Every change in the book classified exactly once: new business, expansion, cross-sell, contraction, down-sell, churn. The waterfall sums, with no unexplained residual between quarters.
Gross revenue retention: opening ARR retained, excluding all expansion. The cleanest measure of the durability of the existing book, and the hardest to flatter.
Net revenue retention: retention plus expansion and contraction. Whether the existing book grows without a single new logo. It is the compounding engine of a recurring revenue business.
Customer lifetime value modelled from retention signals (NPS, CSAT, usage, tenure and cohort behaviour) predicting expected term, not just averaging history.
Deferred and accrued revenue, bad debt and credit control carried alongside ARR, so finance-to-sales reconciliation is automatic rather than a 2–3 analyst-day exercise per cycle.
The same governed data answers where growth comes from, why it moves, and which lever to pull next. Any question the board asks becomes a perspective on Recurring Revenue Intelligence, not a new reporting project. A consistent KPI in isolation answers "what happened"; Recurring Revenue Intelligence answers "so what".
Every cell carries the customer's full commercial identity: industry, sub-industry, region, company size, sales tier, tenure, contract terms. The book stops being a list of accounts and becomes cohorts you can act on.
Every product decomposed to its sellable components: sub-components, delivery platform, content type, each carrying sales, usage, cost and ROI. Product decisions move from instinct to evidence.
Every customer positioned on one journey, from anonymous visitor to renewal, with the same stage definitions for marketing, sales and customer success. One funnel, one set of conversion rates.
Contracts sit with subsidiaries; commercial reality sits with parents. Enrichment resolves every account into its legal and operating hierarchy, so scattered contracts become one relationship with one strategy.
Built and proven with a global creative-software company, a global cybersecurity vendor, an international research & intelligence publisher, a specialist price-reporting agency and a European media & entertainment group.
The Recurring Revenue Intelligence is delivered incrementally on an enterprise-grade, AI-ready architecture: a unified customer and product data model that grows capability by capability, not a multi-year replatforming.
Grouped by perspective and journey stage. Each link goes straight to the detail.
The same governed foundation that runs the business becomes the exit asset. The KPIs that define the multiplier (ARR quality, retention and growth) sit on a data foundation buyers can trust, so the equity story stands up to scrutiny and diligence advisors take every number at face value.
Exit-ready data is built 12 to 24 months out, not in the data room. It pays twice: a better-run business during the hold, and a defensible valuation at the exit.
Explore exit data readinessOne agreed definition per KPI, enforced in the data layer. Board pack, management accounts and data room all read from the same governed numbers, with ARR reconciled to IFRS 15 revenue.
Growth decomposed into expansion, new business and genuine churn, rolled up to parent-group level over multi-year history, so every claim in the equity story is a reconciled line, not an assertion.
Every KPI re-cuts by parent group, product, region, segment and vintage cohort, so detailed buyer questions are answered in hours rather than war rooms.
A discovery session maps your current KPI landscape onto Recurring Revenue Intelligence: where definitions diverge across teams, which perspectives exist in your data today, which drivers of your numbers are invisible today, and which levers the first delivery phase would hand you.
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