Need Help with Audience Segmentation

[ghulamasgharr27]

Hi Adobe Audience Manager Community,

I’m working on setting up audience segments for my website, MyBalanceNow, which helps users manage Target cards, gift cards, and check their balances. I want to ensure I’m leveraging Adobe Audience Manager effectively to build precise audience segments and improve targeting.

Here are a few challenges I’m facing:

How can I structure traits and segments to identify users engaging with specific features, like balance checking or exploring gift card options?

What’s the best way to use first-party data for more accurate segmentation?

Are there any recommended practices for integrating AAM with other Adobe Experience Cloud tools to enhance my audience insights and targeting capabilities?

I’d also appreciate any tips on avoiding common mistakes when building traits and segments or on setting up look-alike models for expansion.

If there are specific resources, guides, or community discussions related to these topics, I’d love to explore those too!

Thanks for your time and advice. Looking forward to your guidance!

Best regards,

[akshaykapil23]

Hello @ghulamasgharr27 ,

Thanks for posting your query here.

Let's detailed out things that you have asked here. 

Q1 - How can I structure traits and segments to identify users engaging with specific features, like balance checking or exploring gift card options?

Ans - In order to to structure your data at trait & segment level. You may refer to create a taxonomy. This will help you to understand the specific journey that you want to create. The best practice to classify a taxonomy is to refer to the sitemap for your website and create folders & subfolders. Please refer to the below link.

Classifying Traits with a Common Taxonomy | Adobe Audience Manager 

Q2.  What’s the best way to use first-party data for more accurate segmentation?

Ans  -  The only way to put your 1st party data in most effective use is by leveraging the real time signals into creation of new traits. You may utilize, advance feature like Look alike Modelling for creating more algorithmic traits.

you may think of onboarding your offline data and later stitching the same with 1st party online data for enriching your data.

Q3. Are there any recommended practices for integrating AAM with other Adobe Experience Cloud tools to enhance my audience insights and targeting capabilities?

Ans-  You may follow the detailed instructions mentioned in the link - 

Integrate Audience Manager With Target | Adobe Audience Manager

Implement the Audience Management Module | Adobe Audience Manager

Publish Segments to Experience Cloud | Adobe Analytics

About Campaign-Audience Manager or People core service integration | Adobe Campaign

Q4 - I’d also appreciate any tips on avoiding common mistakes when building traits and segments or on setting up look-alike models for expansion.

Ans  - Please try to capture signals from the prospective of user Journey. Do not left any signals unattended. You may create traits for all the relevants signals. Avoiding combining Traits of Trails. You may use this by creating one or more traits together at segment level. For utilizing Look alike modelling, please let your current data mature in the AAM. This will help Adobe sensi to work more smoothly and effectively. 

[ghulamasgharr27]

Thank you for the detailed and informative response! I appreciate the structured answers and the actionable insights you’ve provided for each query. The inclusion of best practices, relevant links, and tips for avoiding common pitfalls is incredibly helpful. Your guidance on taxonomy creation, leveraging first-party data, and integrating Adobe tools will be invaluable for refining audience segmentation and targeting strategies. Thanks again for taking the time to address these points so thoroughly!