A Step-by-step Example of Creating Personalized Content at Scale with Gen AI

There’s a lot of advice out there urging consumer businesses to “just get started” with AI for personalization. But what exactly does that look like in practice??

We thought we’d help make things a little clearer by laying out an example, the tools to use, and the steps to take.?

To do this, we partnered with Databricks to document a workflow that technical teams can build and business teams can use for customizing product descriptions based on a customer’s preferences, engagement history, and other attributes.

This workflow requires:

• Audience segments and attributes as defined by our marketers?
• A central repository of marketing content??
• Access to a generative AI model that will create customized messaging?

We pulled audience segments and attributes from Amperity, where data was exposed to the Databricks lakehouse architecture in a zero-copy manner. This allows seamless integration of customer information like marketing segment definitions with both product descriptions and generative AI capabilities available through the Databricks platform.

It turns out that it’s fairly straightforward to “just get started” with AI. This example focuses on personalizing product descriptions, but it can easily be adapted for email subject lines, SMS messaging, website experiences, and more.?

Finally, the gap between personalization and scale is narrowing, and we’re here for it!

Read the step-by-step process for creating customized content at scale.

Loyalty ID ≠ unified customer view.?

Amperity x AWS are digging deep into what actually prevents travelers from becoming weary travelers. In order to deliver exceptional, personalized experiences that keep your customers rebooking, you need a foundation of a unified customer view.?

Learn how leading companies like Wyndham, Vail Resorts, and Alaska Airlines are using tools like Amperity, along with cloud technology and generative AI, to connect every stage of the traveler journey—delivering tailored messaging and improving overall customer engagement.

Watch now - Loyalty ID, ego, superego

Views in the News

Industry perspectives featuring Amperity

Future of CTV advertising (MTC) - As audiences increasingly consume content through internet-connected devices like apps, smart TVs, and streaming services, marketers must adapt by embracing data-driven strategies and focusing on industry best practices to effectively engage viewers in this evolving landscape.

Unpacking the Next Gen in ‘Lakehouse Architecture’ (Techwire Asia) - Lakehouse architecture and open sharing are revolutionizing customer data management by eliminating data silos, enhancing integration, and improving data quality and governance. Uncover how innovations like Delta Lake and Apache Iceberg are enabling seamless data access across platforms, allowing brands to build efficient tech stacks and deliver superior customer experiences.

Why retail media networks are surviving despite Google not killing cookies (AdAge) - John Sharry, VP of media and optimization at Amperity, weighs in on why retail media networks are a worthwhile programmatic investment whether or not third-party cookies are completely phased out.

Amperity at Databricks World Tour

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