C10 // Customer Journey CRM · AI Segments

AI segmentation and scoring driven off your live customer graph.

Predictive LTV, churn risk, next-best-action and look-alike modelling — computed continuously against every client, and dropped straight into your journey builder as triggers.

For CRM and growth teams whose segmentation is still a WHERE clause written in November 2023.

The Problem

Why firms come to us for this.

01
Segments are rule-based and stale

'Deposited > $5k last 30d' is a bad proxy for the thing you actually care about: value.

02
Manual scoring rots

Lead scores are set once, tuned by intuition, and gradually stop predicting anything.

03
Look-alikes live inside ad platforms

Meta's look-alike is Meta's opinion of your best client; you should have your own.

Anatomy

What we actually build for you.

Every engagement is bespoke — but the underlying architecture follows the same layered pattern. Owned by you, deployed on your infrastructure.

L05Segment + score store
L04ML training + serving pipeline
L03Feature store from customer graph
L02Journey builder trigger integration
L01Ad-platform reverse-ETL
Capabilities

What ships in the box.

Predictive LTV

Per-client LTV forecasts trained on your history, updated with every event.

Churn / dormancy risk

Probability of dormancy in 30, 60 and 90 days — with drivers.

Next-best-action

The single action most likely to lift LTV for this client, in this state, right now.

Owned look-alikes

Look-alike modelling anchored to real high-LTV cohorts, exported to any ad platform.

Autonomous segments

AI-maintained segments that evolve as the definition of 'good client' evolves.

Explainability

Every score comes with drivers; every trigger is inspectable.

Integrates with
SnowflakeBigQueryinternal ML infraMeta / Google / TikTok AdsSegment
Talk to Us

Scoping a build for a brokerage, wealth firm or fintech?

We take a small number of new engagements each quarter. Send a two-line brief and we'll respond within 48 hours.