Customer Intelligence & Segmentation

CUSTOMER INTELLIGENCE & SEGMENTATION Segment your book. Predict what each customer does next. Price it in dollars. Most tools sold as "customer intelligence" are descriptive segmentation with a better chart — they tell you what your customers already did. This one segments your book, forecasts what each customer will do next, and attaches a dollar figure with a confidence range to every forecast. Input: three columns — customer_id, date, amount. Works from Excel, Salesforce, HubSpot, Zoho or any accounting export. No integration project. Full results in under two minutes at any book size, on SOC-compliant infrastructure. Free while in early access. SEGMENTATION IS THE MAP. INTELLIGENCE IS THE DECISION. The segmentation layer tells you who your customers are, grouped so you can act: A/B/C/D tiers, behavioural cells, revenue concentration, named buckets like Champions and At-Risk. It looks backward. The intelligence layer tells you what each one does next and what it's worth: retention probability, predicted lifetime value, migration risk, value-at-risk, contact uplift, total book exposure. It looks forward. Both refresh nightly. A label is a classification, not a decision — which is why CRM tier fields sit unused in most companies that have them. The difference in practice: Segmentation says: "Acme is an A-account." Intelligence says: "Acme is worth $60,000/yr, its purchase cadence has broken, lapse risk this quarter is 35%, that's ~$21,000 at risk ($16,000–$27,000, 90% CI), and contact this week recovers an expected $14,000." Only one of those changes what someone does on Monday. FOR THE C-SUITE — CEO, CFO, FOUNDER The problem: "How much revenue is at risk this quarter?" is assembled by hand, a month stale, and nobody can reconstruct how it was calculated. Concentration risk stays invisible until it detonates. Predictive scoring that would answer it sits behind enterprise editions and a data-science setup — or a $90,000–$130,000 analyst who still can't recompute the book nightly. One number for the board, with its working attached. "$340,000 at risk across 23 neglected accounts. $520,000 of upgrade upside in 41 B-accounts." Every dollar traces to a named customer, a named model version, and a training date. Concentration health as a tracked metric. Revenue concentration alongside the tier split, so "we're too dependent on our top accounts" becomes a number with a trend line. Forward-looking, not backward-looking. Tiers are assigned on predicted future value, not last year's invoices. Who will be cream, not who was. Numbers built to survive being wrong. Every figure ships as a range with real confidence — "~$42,000 at risk ($31,000–$54,000, 90% CI)" — never a bare point estimate. A manager shown a confident number who watches the account churn anyway stops trusting every number you've shown them. A range plus a reason survives the miss. Procurement-ready. SOC-compliant infrastructure and controls. Consent capture, retention policy and delete-on-request built in for GDPR and DPDP-style requirements. Free while in early access. Full product, unlimited book size, no card, no seat count, no feature gating. Pricing arrives later, with advance notice. FOR VPs — SALES, REVOPS, CUSTOMER SUCCESS The problem: Reps work the accounts they like, not the accounts that move the number. Segments don't change behaviour. The highest-leverage moment — a customer migrating between segments — is invisible until the revenue chart shows it a quarter later. And when finance asks whether outreach actually retains revenue, you have anecdotes. A daily queue ranked by money, not by segment. The most important design decision in the product. An A-account that stays loyal regardless has near-zero uplift and does not belong at the top of anyone's call list. A B-account a single call would save belongs at the top. Segment-ranked queues systematically spend your team's best hours on accounts that were never going anywhere. Migration watched nightly. The whole

First seen 2 Oct 2026. Evidence as of 2 Oct 2026.