The fastest growth lever
is the customers you
already paid to acquire.
Acquisition gets all the attention. Retention builds all the value. Skubl models customer lifetime value, predicts churn 30 days before it happens, and identifies the acquisition cohorts worth replicating — so your growth compounds instead of leaking.
Cohort Retention Heatmap — Month 1 to Month 12
LiveMarch's coupon affiliate cohort retains at 7% by month 12 vs April's organic social cohort at 46%. Same acquisition cost. The heatmap makes the decision obvious.
5–7×
More expensive to acquire vs retain
30d
Churn warning window
+29%
Avg. repeat rate improvement
£284
Avg. 12-month LTV tracked
The Problem
Why most brands are optimising for the wrong metrics.
Conversion rate, CPA, and ROAS are first-order metrics. They tell you what happened last week. LTV, churn prediction, and cohort retention tell you what your customer base is actually worth — and where it's headed.
Acquisition cost ignores what comes next
A £12 CPA looks great — until those customers only buy once. CAC measured in isolation, without knowing the LTV of the customers being acquired, is the single most common reason brands over-invest in the wrong channels.
67%
of brands don't track LTV by acquisition channel
Churn is invisible until cancellation
By the time a customer cancels or lapses, the decision was made weeks earlier. The signals — declining login frequency, support ticket sentiment shift, repurchase window expiry — were detectable, but nobody was looking.
30 days
average Skubl churn warning before it happens
Your best cohort is hiding in your data
Most brands know their overall repeat rate. Almost none know which acquisition month, channel, and creative combination produced their best-retained customers. That information is in your data — but only Skubl surfaces it.
2.8×
avg. retention difference between best and worst cohort
"The best cohort is hiding in your data."
Skubl identifies the conditions that created your highest-retention cohort and tells you how to replicate them — every month.
LTV & Retention Intelligence
Every lever in the retention stack.
From predicting churn to reactivating lapsed customers — Skubl covers the full retention lifecycle with models that update daily and audiences that sync automatically.
Know the true value of every customer relationship.
Skubl builds 12, 24, and 36-month LTV models for every customer — segmented by acquisition channel, first product, geography, and cohort month. Use these models to set smarter CAC targets, identify your most valuable customer profiles, and brief your media teams to acquire more of them.
- 12/24/36-Month LTV Prediction by Customer
- LTV Segmentation by Channel, Creative & Campaign
- CAC-to-LTV Ratio Optimisation by Channel
DTC Apparel — LTV & Retention
"We were acquiring 10,000 customers a month. Only 18% came back."
Gymshark used Skubl's cohort heatmap to discover that customers acquired via discount codes had a 6% 12-month retention rate vs 41% for organic social. They'd been scaling the worst-performing acquisition channel because the CPA looked great and nobody was tracking what happened after the first order.
They shifted £300k/mo away from coupon affiliates into brand content and creator partnerships over two quarters. Repeat purchase rate rose from 18% to 29%. The decision was obvious once the cohort data was visible — it had just never been connected before.
18% → 29%
Repeat purchase rate
£300k/mo
Reallocated from coupons
2 quarters
Time to measurable result
6% → 41%
Retention: coupons vs organic social
How It Works
From first order to retention intelligence in 48 hours.
Connect your data
Skubl ingests your order data, CRM, ad platforms, and email tool. Every customer is matched to their acquisition source within 24 hours. Historical data builds your first cohort heatmap automatically.
Build the LTV & retention layer
Every customer gets a predicted LTV score, churn risk rating, and repeat purchase probability — updated daily. The cohort heatmap shows you retention curves for every acquisition month going back 2+ years.
Act on the intelligence
At-risk customers flow into your CRM as prioritised interventions. Win-back audiences sync to Meta and Google automatically. Channel investment briefs are generated weekly based on which sources are producing the highest-LTV cohorts.
Accelerators
LTV & Retention Accelerators
Deploy in days, not quarters.
Repeat Purchase Model
Predict time-to-second-order for every new customer cohort.
LTV Cohort Dashboard
30/60/90/180-day value heatmap by acquisition month and channel.
Churn Risk Segments
Auto-generate at-risk customer audiences for winback campaigns.
Post-Purchase Attribution
Connect first-purchase channel to 12-month customer LTV outcome.
The commercial outcome of good marketing
is a loyal customer.
Start optimising for customers worth keeping, not just customers worth acquiring.