shopify/$customer ltv

Score lifetime value before it happens.

Predicted 12-month value for every customer, segmented high / medium / low in one click, so acquisition and retention spend follow the money.

live template · free to try
customer_ltv.scorescored
predicted 12-mo LTV
$0
top decile
$0
high value$420 avg
medium value$180 avg
low value$60 avg
Why a generic flow isn't enoughA / the problem >>>

Lifetime value is usually a backward-looking average that lumps your best customers in with one-time buyers. You acquire and retain blind, spending the same on a $60 customer as a $900 one.

From store data to actionB / how it fits >>>
// you feed it

Shopify order history, customer attributes, and product mix.

// it decides

It predicts each customer's 12-month value and assigns a high / medium / low segment, with drivers.

// you get

A value-segmented customer base you can target, with the predicted figure and its reasons.

How it worksC / the model >>>
01

predict 12-mo value

Each customer gets a forward LTV estimate, explained by their own signals.

02

segment in one click

High / medium / low value tiers, ready to target or suppress.

03

spend where it pays

Point acquisition look-alikes and retention budget at your real high-value tiers.

What it runs onD / inputs >>>
[✓]Shopify order history
[✓]Customer attributes
[✓]Product / category mix
[✓]First-order recency
What you walk away withE / outcomes >>>
$910predicted value of your top decile
3 tiershigh / medium / low in one click
explainableevery score carries its drivers
Common questionsF / faq >>>
Other modelsG / more >>>

Turn it on for your store in minutes.

engine: online