Use Case

LTV by Acquisition Channel

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Overview

What this means for operators

Acquisition costs keep rising, but most operators optimize for first-order metrics — cost per acquisition, first-order ROAS, initial conversion rate. These metrics ignore the question that actually determines profitability: which channels produce customers who come back? LTV by channel answers that question, but calculating it requires connecting order data to acquisition source data over time.

You know your overall LTV but not your LTV by channel. Some channels produce high-value repeat customers. Others produce one-time buyers. Without channel-level LTV, you are optimizing acquisition in the dark.

The problem

You know your overall LTV but not your LTV by channel. Some channels produce high-value repeat customers. Others produce one-time buyers. Without channel-level LTV, you are optimizing acquisition in the dark.

What operators do today

Common workarounds that fall short

Aggregate LTV calculated from total revenue divided by total customers — no channel breakdown

Manual cohort analysis in spreadsheets that takes days to build and is updated quarterly at best

First-order ROAS used as a proxy for long-term customer value without any retention data

Channel budget decisions based on CPA alone, ignoring whether those customers ever buy again

Results you can expect

Measured outcomes from Fairview users

2.5x

typical LTV difference between the highest and lowest performing acquisition channels

30/60/90

day LTV curves visible by cohort and channel without manual calculation

20%+

of budget typically shifted to high-LTV channels after seeing channel-level data

Features used

Powered by

Cohort LTV Tracker Blended ROAS Dashboard Repeat Purchase Dashboard

What operators say

"Our cheapest acquisition channel had a $15 CPA. Our most expensive was $45. But the $45 channel produced customers with 4x the LTV. We were optimizing for the wrong number for two years."

Jordan Hayes

VP of Marketing, Summit Roast Coffee (D2C subscription coffee brand)

Explore more

Related use cases

Repeat Purchase Optimization Calculate True ROAS Contribution Margin by Channel

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FAQ

Frequently asked questions

Fairview groups customers by acquisition cohort (month + channel) and tracks their cumulative revenue over time. LTV is total revenue from the cohort divided by number of customers.
Shopify or Stripe for purchase data and UTM tracking or ad platform connections for acquisition source attribution.
Fairview pulls historical data from your connected sources. Cohort tracking starts from the earliest available data.
Yes. The Cohort LTV Tracker shows how value develops over configurable time windows.

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