Adobe Analytics

Migrating Adobe Audience Manager (AAM) to Web SDK ensures you maintain alignment between audience management and your updated Analytics and Target set ups. In this blog, we’ll discuss some important considerations to keep in mind when migrating AAM to Web SDK.

In a world overflowing with data, mastering analytics and governance is crucial. Yet, many businesses face hurdles like data literacy and a shortage of skilled specialists. Adobe's GenAI Agents and no-code AI solutions promise to democratize data access and enhance decision-making. Discover how thes...

If you’re planning to migrate Adobe Analytics and Adobe Target to Edge Data Collection, you may be wondering how this impacts your Analytics for Target (A4T) integration. A4T provides valuable insights into Target activities with Analytics data without duplicating data collection efforts between ser...

We are beyond excited to celebrate a true legend in the Adobe Analytics community -  @MandyGeorge, who has been named the inaugural inductee into the Adobe Analytics Rockstar Hall of Fame!  Mandy’s journey with Adobe Analytics has been nothing short of remarkable - from Rockstar attendee to Rockstar...

Over the years as a Adobe Analytics user there have been times when certain tasks and workflows just seemed a real point of inefficiency. So I thought to myself can I create a better and efficient solution?

The Adobe Digital Experience Certification Program is offering a new certification: Adobe Customer Journey Analytics Developer Professional.

Discover how Adobe Customer Journey Analytics transcends traditional digital analytics with a strategic, purpose-driven approach that transforms raw data into actionable customer insights.

Sequential segments and sequential filters are an analysis superpower! You can derive great insights with them but only if you know how they work. This series will teach and inspire with visual explanations, validation processes, and use cases you can apply! Let’s get started.

Discover how Adobe's Journey Canvas visualization enhances customer journey analysis by providing powerful tools to map, understand, and optimize user interactions across multiple touchpoints, platforms, and channels.

I walk through CarMax’s journey from a decentralized to a centralized tagging implementation model (how I went from a team of 2 to 12)