Menu
Customer Story

New Look

New Look identifies that 71% of their top customers shop multiple channels.

Two female models wearing vest-skirt sets and sunglasses against a desert landscape.

The Challenge

  • Unreliable customer profiles prevented personalization across channels.

  • Fragmented customer data disguised many high value targets as different customers.

  • Tech stack changes & slow implementations impacted data mapping projects.

  • Overworked technical resources manually pull lists and write & manage ETL workflows.

The Solution

  • Simple, available, and always up-to-date customer profiles with Databricks' Data Intelligence Platform & Amperity Bridge.

  • Bidirectional data share processes over 7.5 billion records in minutes without requiring complex schema mapping.

  • Amperity's AI-powered identity resolution uncovered 3.4 million customer profiles previously fragmented across multiple records.

The Results

+50%
Boosted ROAS using Amperity-built audience
+24%
high-value customers identified through enhanced data-driven marketing
£1m
in media savings
£8.1m
by converting 1% of single-channel to omnichannel shoppers

"This partnership represents a fundamental shift in how we approach customer data. These insights allow us to launch campaigns that incentivise customers to shop both online and in-store, driving higher lifetime value."

New Look

Daniel Chasle Chief Data Officer, New Look

Amperity & New Look case study, titled "Identifying Top Customers Drives Multi-Channel Revenue Growth"

Save & share this customer story

This 2-page PDF version of the above story has all of the same details, in a shareable, printable package.

View case study