Customer Segmentation & LTV Analysis for a Multichannel DTC Brand

Ecommerce company with multiple DTC brands uncover the value each customer brings per acquisition channel

Agus Velazquez

Aug 31, 2025

For a multichannel DTC brand operating five branded websites, we built an LRFM customer segmentation model to understand customer lifecycle stages, value, and long-term profitability. By combining this with acquisition channel data, the brand was able to uncover the lifetime value of each cohort and activate more personalized marketing strategies.

At Glance

  • Five branded domains, multiple acquisition channels

  • Segmentation by New, Loyal, Mid Value, Low Value, Champions, Big Spenders at Risk

  • Acquisition sources: Organic Search, Shopping, Paid Media, Email, Social

  • Key metrics: Lifetime Value (LTV), Lifetime Orders (LTO), Average Order Value (AOV)

Industry: E-commerce - Printing

Tech Stack: Google Cloud Platform · Looker Studio

The Challenge

The brand lacked visibility into customer lifetime value and how acquisition channels contributed to long-term performance. Existing reporting was limited to transactional metrics, leaving teams without:

  • Clear understanding of customer lifecycle stages.

  • Insights into LTV by acquisition channel or cohort.

  • Ability to align acquisition spend with retention outcomes.

The Solution

We developed an LRFM-based segmentation model to classify customers across lifecycle and value stages. This was then combined with acquisition channel data to calculate LTV per cohort, providing a clear view of profitability by source and time of acquisition.

With this foundation, the brand:

  • Identified high-value acquisition channels.

  • Uncovered at-risk customers for targeted win-back.

  • Designed personalized retargeting and retention campaigns.

  • Created a framework for optimizing media allocation based on true LTV.


Schema of the infrastructure and data sources.


Blyze Labs

Ecommerce and Retail Analytics.

Buenos Aires, Argentina | Miami, USA

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