Revenue Analytics

Finalert builds that breakdown from your billing system and your CRM, cleans the records that make it unreliable, and reports it on a fixed cycle. You get cohort retention curves, a price against volume bridge and revenue by segment. Your commercial and finance leadership decide what to do about it.

Most of the answer already exists in your billing system and your CRM. It is usually unusable because customer records are duplicated, products are named three ways, credits are booked against the wrong period and closed-won opportunities never reconcile to invoiced revenue. We fix that first, then build the analysis on top of it.

Finalert builds revenue analytics for U.S. companies that need to know what their top line is made of. The core of the work is decomposition: splitting a period-over-period revenue change into price, volume and mix, so a flat quarter that hides a price rise offset by lost volume does not read as a quiet quarter. Alongside it we split revenue by source: new customers, the recurring base, expansion within existing accounts, contraction and churn, each as a dollar figure that adds back to the reported total.

The second half of the work is segmentation. Revenue by product or service line, by channel, by region, by customer size and by sales rep, each on the same basis and each with its own growth rate. Seasonality is measured rather than assumed, using enough history to separate a genuine repeating pattern from a run of good months. When a segment moves, the pack says how much of the total change it accounted for instead of leaving the reader to estimate.

Cohorts, retention and the shape of the base

Cohort analysis groups customers by the period they started and follows each group forward. That shows whether customers acquired this year are worth more or less than the ones acquired two years ago, when accounts typically expand, and when they leave. Gross and net revenue retention are calculated from the same cohort table rather than from a separate spreadsheet, so the numbers agree. For subscription businesses we track recurring revenue by month, with movement lines for new, expansion, contraction and churn.

Retention curves are where forecasting assumptions come from. A base that retains ninety cents of every dollar behaves differently from one that retains a hundred and ten with expansion, and the difference compounds fast. We report the curve by cohort, by product and by customer size, so a headline retention figure that looks healthy because a few large accounts grew does not hide steady attrition in the long tail beneath it.

Source data and what we do not do

None of this works on dirty data, so cleaning the source is part of the engagement rather than a prerequisite we assume. We de-duplicate customer records, reconcile CRM opportunities to invoiced revenue, standardize product and channel names, put credits and refunds back in the period they belong to, and separate one-time charges from recurring ones. Where a record cannot be resolved we flag it, size it, and report with the unresolved amount stated rather than buried in a segment.

We build and run the reporting. What to price, which channel to fund and which customers to chase are decisions your commercial and finance leadership own. Finalert does not sign tax filings, issue audit or attest opinions, give legal advice, or act as your accountant of record, and we do not set revenue recognition policy. The analysis reads the revenue your books already recognized; how it is recognized stays with your controller and your CPA.