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AEP segments

AEP segments and audiences: a practical guide

Adobe Experience Platform segmentation: audiences, batch vs streaming vs edge evaluation, examples, validation steps and best practices.

Quick answer

AEP segmentation evaluates Real-Time Customer Profiles against rules to build audiences. Batch evaluation runs on a schedule for complex rules; streaming evaluation updates qualification as events arrive; edge evaluation qualifies profiles instantly on the Edge Network for same-page personalisation. Audiences can also be imported or created from other sources.

Choosing an evaluation method

MethodSpeedTypical use
BatchScheduledComplex rules, large lookbacks, daily campaigns
StreamingNear real timeEvent-triggered journeys and fast suppression
EdgeInstantSame-page or next-page personalisation

Each method supports different rule types; check the current Adobe eligibility rules before relying on streaming or edge evaluation.

Examples

  • High-value customers: lifetime spend above a threshold and purchase in the last 90 days.
  • Cart abandoners: added to cart, no purchase within 1 hour (streaming).
  • Loyalty members browsing a category this session (edge).

Step-by-step validation

  1. Write the business definition in plain language first.
  2. Build the rule and check the estimated audience size.
  3. Inspect sample qualified profiles to confirm the logic.
  4. Check the merge policy and identity behaviour behind the audience.
  5. Monitor qualification counts after activation.

Who this guide is for

This guide is written for beginners, students and career switchers who want a clear mental model, and for developers, data engineers, implementation specialists, consultants, architects, marketers, agencies and enterprise teams who need practical, step-by-step detail they can apply on real projects.

Frequently asked questions

Why is my audience size different from what I expected?

Common causes are the merge policy, identity linking, event lookback windows, and whether the rule is evaluated in batch or streaming.

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