Know who is leaving, who will expand, and why — before it shows up in revenue.
Customer Intelligence & Churn / Expansion: churn and expansion signal, voice-of-customer synthesis and behaviour-grounded personas — so you act on accounts while there is still time to change the outcome.
Outcome: Know who is leaving, who will expand, and why — before it shows up in revenue.
The logo churned last quarter. When you went back through the account history, the signal was there — six weeks of declining usage, two support tickets that went quiet, a check-in call they rescheduled twice. Nobody was watching it because nobody had time to watch it. Now the same pattern is sitting in three other accounts. You do not know which one churns next.
The customer intelligence questions you are actually asking.
How do we see churn risk before a customer goes quiet?
Churn shows up in behaviour long before it shows up in a conversation. Declining usage, unresolved support tickets, missed check-in calls — the signal is already in your data. The gap is that nobody is synthesising it across every account, week by week, with enough consistency to act. Early warning on churn is a data problem, not a relationship problem.
How do we find expansion accounts before the renewal call?
Expansion readiness shows up in the same data as churn risk — usage depth, support patterns, feature engagement, sentiment in calls. Accounts that are ready to expand are often quieter than accounts that are churning, which is why they get missed. A scored read across your portfolio surfaces them before the renewal call.
Why is our voice-of-customer data always stale or incomplete?
Because voice-of-customer is scattered across tools and formats — support tickets, NPS responses, call notes, usage logs — and nobody has the bandwidth to read all of it systematically. A survey captures what people say when asked; this synthesises what they actually do and say across every touchpoint, continuously.
How do we build customer personas grounded in real behaviour?
Most personas are built from interviews and assumptions, then updated rarely. Behaviour-grounded personas are built from what customers actually do — usage patterns, the paths they take, where they get stuck, what they ask about. They stay accurate because the data they are built from is current.
Why churn and expansion always surface too late.
Churn and expansion show up in revenue long after the signal was sitting in your data. Voice-of-customer is trapped in support tickets, calls and usage logs that nobody has time to read systematically. You react to logos leaving instead of seeing them go quiet first — and you miss the accounts that were ready to expand.
How to predict customer churn — and find expansion accounts before the renewal call.
The signal that tells you an account is at risk — or ready to expand — already exists in your product, support and communications data. The gap is that nobody is synthesising it across every account with enough consistency to act. AI does the synthesis and the scoring; a human owns the account decisions.
Pull together the signal across every customer touchpoint
Product usage, support tickets, call notes, survey responses — wired together so the picture of each account is complete, not fragmented across tools and people's inboxes.
Synthesise voice-of-customer into actionable personas
Not a survey summary — a read of what customers actually do and say across every touchpoint, turned into personas grounded in real behaviour, not assumptions or a one-off research project.
Score accounts for churn risk and expansion readiness
Each account scored from the patterns in the data — not gut feel or recency bias. Churn risk and expansion readiness surfaced across the whole portfolio, so the highest-priority accounts are obvious.
Surface the why with evidence and a next action
Not a list of amber and red accounts — a specific signal, the evidence behind it, and what to do about it. A human reviews the read before it drives an account or product decision.
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Pull together the signal — product usage, support tickets, calls and survey data.
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Synthesise voice-of-customer and build personas grounded in real behaviour, not assumptions.
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Score accounts for churn risk and expansion readiness from the patterns in the data.
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Surface the why behind each signal, with the evidence, so the next action is obvious.
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A human reviews the read before it drives an account or product decision.
Knowing who is churning is one problem. Knowing who never activated is another.
Customer Intelligence tracks the accounts you already have — who is at risk, who will expand, what the voice-of-customer is actually saying. The accounts that never reached value in the first place — users who signed up and went quiet in week one — are a different kind of loss, and the fix is upstream.
If new user drop-off is the problem, Activation & Onboarding Intelligence is where to look first.
You know who is leaving, who will expand, and why — before it shows up in revenue — so your team acts on accounts while there is still time to change the outcome.
Know who is leaving, who will expand, and why — before it shows up in revenue.
Founders, customer and product leaders at product and services firms who want to get ahead of churn and find expansion before the renewal call.
Customer intelligence connects to the full commercial picture.
Activation & Onboarding Intelligence
Users who never activated are a different kind of churn. Fix the onboarding funnel before they become the customer intelligence problem.
Explore activationProposal & Deal-Shaping OS
Understanding what your best customers value makes every proposal sharper. The ICP clarity here feeds directly into how you pitch.
See the flagshipDelivery & Ops Intelligence
How well a project is delivered is often the root cause of churn. Delivery intelligence and customer intelligence are two sides of the same account health read.
Explore deliveryQuestions
How do you predict customer churn before it happens?+
By watching for divergence between expected and actual behaviour across every account — usage trends, support patterns, engagement signals — continuously, not at quarterly review. Churn shows up in the data weeks or months before a customer says anything. A scored read across your portfolio surfaces the accounts at risk while there is still time to act, with the specific evidence behind each signal so the next conversation is grounded in fact, not instinct.
How do you identify expansion accounts before the renewal call?+
Expansion readiness shows up in usage depth, feature engagement and sentiment patterns. Accounts that are ready to expand often look quiet from the outside — they are not raising issues, but they are getting consistent value. A scored read across the portfolio surfaces them before the renewal call, with the evidence to support the conversation.
What data do you need?+
Whatever signal you already have — product usage, support tickets, call notes, survey responses. The more of the customer's real behaviour we can see, the sharper the churn and expansion read.
Is this a dashboard?+
It is an outcome, not another dashboard to check. We deliver the synthesis and the scored accounts with the reasoning behind them, and a human stands behind the read.
How is voice-of-customer different from a survey tool?+
A survey captures what people answer when asked. This synthesises what they actually do and say across every touchpoint — usage, tickets, calls — into personas and signal you can act on.
Three phases — each one de-risks the next.
Start with a paid, NDA-gated Diagnose on your own deals. If you develop, the Diagnose fee comes off the price. No hours billed, no day rates — you buy an outcome at each step.
Diagnose
Proposal Workflow Diagnostic
- Where churn risk is hiding and which accounts are most likely to expand — read across your real customer data, not a survey or a hunch.
- A live account brief on your top 3 at-risk customers: churn signals, root cause, and a recommended action for each.
- A prioritised list of the intelligence gaps — in your product data, support data or CRM — worth closing first.
NDA signed first. Credit applies in full against Develop.
Book a free discovery callDevelop
Deploy your Proposal Workflow
- A voice-of-customer and account intelligence system trained on your product usage, support tickets and CRM data.
- Churn and expansion signals surfaced weekly — with account-level briefs your CS team can act on the same day.
- First at-risk account identified and saved before it churns.
Your Diagnose fee comes off the price.
Book a free discovery callDeliver
We run it on live work
- Weekly account health reports and expansion opportunity signals delivered to your CS lead — no manual BI queries.
- Ongoing churn and expansion monitoring as your customer base grows and product evolves.
- Monthly customer intelligence review: cohort health, NPS signal, and the top 3 expansion opportunities to pursue.
Month-to-month. Cancel anytime.
Book a free discovery callThe math is simple. One deal re-priced or re-scoped out of the Diagnose typically covers its cost. And protecting the margin on a single won deal can pay back the whole Develop phase.
We take on 2 new clients per month. The consultant calendar fills fast — next available is roughly 2 weeks out.
Claim a slotBring your account data. Leave knowing who to call this week — and why.
A 30-minute, no-pitch call. We will walk through how this would run on one of your real opportunities — then you decide if it is worth a paid diagnostic.