Amperity for Retail: How Retailers Turn Customer Data Into Profit in Real Time

Profitability pressures are mounting. Customer loyalty is eroding. Paid media costs keep rising. And retail executives expect AI to deliver results – now.

But your current customer data infrastructure can't support any of it. Fragmented identities inflate audience counts and waste ad spend. Batch processing means you're always reacting too late. And AI models trained on incomplete, siloed data deliver generic recommendations that miss the mark.

The retailers pulling ahead aren't collecting more data – they're unifying and activating it in real time.

This solution brief reveals how leading retailers are modernizing their customer data foundation to meet rising profitability pressures. You'll discover how real-time customer profiles enable in-session personalization, how AI-driven tools accelerate segmentation and journey orchestration, and how predictive intelligence optimizes paid media for profit – not just reach.

What's inside the solution brief

• How unified identity resolution solves data fragmentation and powers every downstream use case

• Why real-time data is no longer optional for in-the-moment experiences that drive conversion

• How predictive AI improves retention, trust, and long-term customer value

• Strategies for paid media precision that reduce wasted spend and improve ROAS

• How Brooks Running increased paid search CTR by 260% and ROAS by 128%

Download the solution brief to learn more.