How a Multi-Brand Retailer Transformed Their Customer Insight and Marketing with JetStream

Strategic Innovation and Clean Room Practices Drive Industry-Leading Results

Introduction

Over a decade of acquisitions left a major UK retailer with fragmented customer data spread across multiple brands. To improve marketing effectiveness and gain deeper insight into customer behaviour, the retailer sought to build a Single Customer View (SCV). This case study outlines their transformation journey, the challenges they faced, and the measurable outcomes achieved through JetStream.

Challenges

The retailer encountered several critical obstacles:

  1. Fragmented Customer Data
    • Each acquisition introduced new customer databases, making it difficult to identify individuals who shopped across multiple brands.
  2. Limited Insight Capabilities
    • Without an SCV, the retailer struggled to generate meaningful, sustainable insights, resulting in inefficient and poorly targeted marketing campaigns.
  3. High Operational Costs
    • Managing multiple databases was costly. Additionally, business units often licensed overlapping third-party data, leading to unnecessary spend.
  4. Inconsistent Marketing Processes
    • Campaigns were executed separately across the group brands, with inconsistent and duplication suppression of deceased or gone-away customers. This led to repeated downstream suppression of same data, incurring significant cost and making campaign volume forecasting unreliable.

The Solution

To address these challenges, the retailer partnered with JetStream to implement a comprehensive centralised solution:

  1. Building the Single Customer View

JetStream was used to convert disparate customer data sources into unified match-keys. These keys enabled the creation of individual, household, and address-level customer IDs. Business rules were defined collaboratively and implemented by the retailer’s development team to build the SCV.

  1. Enhancing Data with JetStream Data Marketplace

Once the SCV was established, the retailer enriched their customer data using JetStream’s integrated third-party datasets:

  • Real-time data maintenance:
    • Flagging deceased and gone-away customers
    • Identifying customers on MPS and TPS lists
    • Address improvement via PAF matching
    • Email and mobile number validation
  • Trigger data:
    • Events such as home moves or new births
  • Demographic enrichment:
    • Property and household variables for deeper insight
  • Contact data enhancement:
    • Appending opted-in email and SMS details where missing

Implementation

The transformation was executed in three phases:

Phase 1: Evaluation and Pilot

Over six weeks, the retailer assessed JetStream’s capabilities. A six-month parallel run followed, during which data cleaning, matching rules, and automation processes were tested against existing systems.

Phase 2: SCV Automation

Upon successful pilot completion, automation was introduced to process both batch and streaming data. JetStream provided logging and operational metadata, which the retailer used to build custom monitoring and alerting rules.

Phase 3: Marketing Optimization

With a robust SCV in place, the retailer streamlined marketing operations:

  • Improved targeting through enhanced customer insight
  • Campaign extracts closely matched final mailing volumes, reducing waste and improving efficiency

Results

The JetStream implementation delivered significant benefits:

  • Significant reduction in operational costs through database consolidation
  • Lower third-party data spend by centralizing licensing
  • Increased trust and engagement across marketing and analytics teams
  • Improved campaign accuracy and efficiency, leading to better ROI
  • Improved data security, minimisation and compliance

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How a Multi-Brand Retailer Transformed Their Customer Insight and Marketing with JetStream