Know which accounts are at risk before the renewal conversation does

We build the health-scoring and monitoring systems that surface at-risk accounts weeks or months before renewal, so your team intervenes from a position of strength instead of finding out at the worst possible moment.

Talk to us about churn prevention

By the time churn shows up in the numbers, it's already too late to fix

Most teams find out an account is at risk when the renewal conversation goes badly, or when a CSM happens to notice a client's gone quiet. By then, whatever caused the disengagement has usually been building for months: a support ticket that never got resolved properly, a champion who left and nobody flagged it, usage that quietly dropped off after a key user changed roles. None of that showed up on a dashboard, because nothing was watching for it.

A health score that only reflects what a CSM manually notices is really just a documented version of a gut feeling. It's only useful if it's built from signals that actually predict risk, and checked continuously rather than updated whenever someone remembers to.

What churn prevention and account health covers

A system that catches risk while there's still time to act on it: health scoring built on your actual churn predictors, continuous monitoring instead of periodic check-ins, early-warning thresholds that flag a stall before it becomes a pattern, intervention playbooks matched to each risk type, and an escalation path that gets the right person involved early.

Health scoring built on real predictors

Continuous monitoring

Early-warning thresholds

Intervention playbooks

Escalation and save motion

How we build your coaching and automation setup

Audit

We analyse your churned and renewed accounts to find which signals actually predicted the outcome, not which ones we'd assume should.

Design

We build a health-scoring model and threshold set around those real predictors, specific to how your customers actually behave.

Build

We implement continuous monitoring and automated alerts connected to your CRM, support, and usage data, so scores update on their own.

Roll out

We train your CS team on the intervention playbooks tied to each risk signal, so a flag leads to action, not confusion about what to do next.

Refine

We track which signals actually predicted churn correctly and recalibrate the model as your customer base evolves.

Audit

We analyse your churned and renewed accounts to find which signals actually predicted the outcome, not which ones we'd assume should.

Design

We build a health-scoring model and threshold set around those real predictors, specific to how your customers actually behave.

Build

We implement continuous monitoring and automated alerts connected to your CRM, support, and usage data, so scores update on their own.

Roll out

We train your CS team on the intervention playbooks tied to each risk signal, so a flag leads to action, not confusion about what to do next.

Refine

We track which signals actually predicted churn correctly and recalibrate the model as your customer base evolves.

What you get

A health-scoring model built from your own churn and renewal data

Continuous, automated monitoring across usage, support, and engagement signals

Early-warning thresholds that flag risk while there's time to act

Intervention playbooks matched to specific risk types

An escalation path for accounts that need senior attention early

Case studies

A dedicated, VIP-only microsite for the UK's leading Sage partner, built to give long-standing customers a premium experience of their own, separate from the site doing the work of winning new ones.

Part of

35%

increase in revenue

63%

increase in profit

See all case studies

Technology we use for churn prevention

HubSpot Service Hub

We build health scoring inside HubSpot Service Hub, using the CRM record your team already works from. The score updates against live data rather than a nightly sync, and a CSM sees risk on the same account page they're already using, not a separate dashboard they have to remember exists.

If your customer data already lives in HubSpot, this is the fastest way to a health-scoring system that stays accurate. If it doesn't yet, this is usually part of the reason we'd recommend consolidating there first.

AskElephant

Support tickets and sales calls often get read twice, once by a support team looking for problems, once by an account team looking for opportunity, and neither reads all of it.

Using AskElephant to analyse calls and conversations, we build health scoring and expansion signal detection from the same underlying data in a single pass, so a frustration surfaced in a support call and a growth opportunity buried in the same conversation both get caught, rather than one team's read being the only one that happens.

Why trust Blend with churn prevention

Your health score is built from your actual churn patterns

Every alert arrives with a play already attached

We connect health scoring to what sales already knew

We recalibrate as your churn patterns shift

Meet the team

Some of the people you might work with on your health and churn prevention system, from initial audit through to ongoing monitoring.

Josh Bouk

CEO, Americas

Phil Vallender

Co-Founder & Director of Strategy

Amanda McGrath

Commercial Director

Andrew Manchester

Growth Strategist

Joe Bouk

Junior RevOps Engineer

Simran Toor

Director of Global Accounts

Rafael Paredes Calles

Strategist

Katie Stevens

Account Manager

Rachel Osborne

Senior Account Manager

The best B2B companies grow by design, not by chance

They align their teams, eliminate friction, and build revenue infrastructure that compounds over time. That's what we engineer. Let's fix your revenue engine.

Talk to us