Customer Data Platform (CDP) Implementation

Segment CDP Setup for Unified Customer Profiles

Segment CDP for Unified Customer Profiles

Segment CDP case study

๐Ÿ“ŒIntroduction

A retail brand with ecommerce, physical stores, and a loyalty app needed to unify customer data from 5 disconnected systems into a single customer profile to enable personalization and consistent marketing across all channels.

โ—The Problem

The same customer existed as separate records in Shopify, the POS system, the loyalty app, Klaviyo (email), and the paid media platforms. There was no single source of truth for a customer's full purchase history, lifetime value, or engagement across channels.

๐Ÿ”Identifying the Causes

Each system was built independently over time with no data integration strategy. Customer identity resolution was missing โ€” the same Sarah Johnson might exist as 5 different records with different email addresses (personal and work), different names, and no shared identifier connecting her records across systems.

โš ๏ธConsequences for the Business

Email personalization was based on Shopify online history only, missing 40% of purchases made in-store. Loyalty points calculations were inaccurate. Retargeting audiences excluded loyal in-store customers. The brand was treating multi-channel customers as if they were single-channel, degrading personalization quality significantly.

โœ…Solution

Implemented Segment as the customer data platform with a probabilistic identity resolution layer. Connected all 5 data sources as Sources, resolved identities using email address as the primary key supplemented by name+zip matching for in-store POS data. Created unified customer profiles with combined purchase history, LTV, channel preference, and engagement scores. Pushed unified profiles as Destinations to Klaviyo and the paid media platforms.

๐Ÿ“ˆResults

Customer identity resolution matched 73% of in-store-only buyers to their online profile. Average customer LTV calculation increased by 31% when full cross-channel purchase history was included. Email open rates improved by 24% as personalization used complete purchase history. Retargeting audiences expanded by 41% with in-store buyer inclusion.

๐ŸConclusion

A CDP with proper identity resolution transforms a brand from managing separate channel records to truly knowing their customer across all touchpoints. The personalization and measurement improvements compound across every marketing channel.

๐Ÿ’กKey Takeaways

Email address is the most reliable identity key โ€” ensure you're capturing it consistently across all channels. Probabilistic identity resolution (name+zip) fills gaps where email is unavailable (e.g., cash POS transactions). Define and calculate a single LTV metric in the CDP that all teams use โ€” eliminating conflicting LTV claims from different systems.

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