Hi Community,
I have a website, TikMoneyCalc.com, which provides tools for tracking and calculating earnings. I would like to know how to integrate my site with Adobe Audience Manager to manage audience data effectively and leverage it for insights and segmentation.
Could anyone guide me on the steps to:
Thank you in advance for your help!
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Hi @davidmeaa57 ,
Integrating Adobe Audience Manager (AAM) with your website (TikMoneyCalc.com) to track and manage audience data is a great way to gain valuable insights into user behavior and optimize your content and user experience. AAM allows you to collect data, segment audiences, and deliver personalized experiences based on their interactions with your site.
To collect the necessary audience data on your site, you'll need to integrate Adobe's data collection tools (e.g., Adobe Experience Platform Web SDK or Adobe Analytics). This involves installing tracking tags on your site that capture user behavior (page views, clicks, interactions, etc.).
Install Adobe Experience Platform Web SDK:
The Adobe Experience Platform Web SDK (also known as the Adobe Experience Platform Launch SDK) is a unified platform that helps collect data from your website, including visitor behavior and interactions.
You can implement the Web SDK through a tag management system like Adobe Launch or directly by adding the script to your website.
Go to the Adobe Experience Platform Launch (formerly Adobe Dynamic Tag Manager), create a new property for your website, and configure the Web SDK.
The SDK will allow you to capture visitor data, such as page views, clicks, form submissions, and even custom events.
Track Specific Visitor Interactions:
You'll want to track visitor interactions that are relevant to your platform. For a site like TikMoneyCalc.com, this could include:
Tool usage (e.g., what tools users are interacting with, which calculation features are being used)
Conversions (e.g., did they sign up, did they use a certain feature, etc.)
Session duration and engagement (how long users stay on the site, what they interact with most)
Behavioral data (e.g., clicks on buttons, form submissions, page views)
Set Up Custom Events and Variables:
You may need to set up custom variables or events that capture key data points, such as the specific tools a user is using on TikMoneyCalc.com, or the type of calculations they’re performing.
These custom events can be captured in Adobe Analytics or directly in the Audience Manager.
Once you’ve set up data collection, the next step is to categorize users into meaningful segments based on their behaviors. Adobe Audience Manager allows you to create segments of users who exhibit certain patterns or behaviors, such as tool usage, frequency, or engagement.
Create Segments in Audience Manager:
Audience Manager uses the data you’ve collected to segment users based on various attributes like:
Behavioral segments: For instance, you could create segments for users who frequently use specific tools on your site (e.g., users who use the "earnings calculator" versus users who use the "tax estimation" tool).
Demographic segments: If you’re collecting demographic data (age, location, etc.), you can create segments like "users from Malaysia" or "users who are new to the site."
Engagement segments: You can segment users based on their engagement, such as users who visit daily, users who complete specific actions (like signing up for an account), or users who abandon tasks.
Use Audience Manager’s Traits:
AAM allows you to define traits, which are specific behaviors or attributes you want to track. For example:
Trait 1: Users who visit the site more than once in a week.
Trait 2: Users who use a specific tool (e.g., "earnings calculator").
These traits can then be grouped into segments that define categories of users, such as "frequent users of the earnings calculator" or "new visitors who have not signed up yet."
Combine Data Sources for Advanced Segmentation:
Audience Manager can integrate with Adobe Analytics and other Adobe Experience Cloud tools, allowing you to combine behavioral data (from your website interactions) with other data sources, such as CRM data, to create more detailed and advanced segments.
For example, you might have a segment that combines users who regularly use the earnings calculator and those who have signed up for an account, indicating high engagement.
It’s essential that AAM integrates smoothly with your existing analytics infrastructure, especially if you’re already using Adobe Analytics or another analytics tool.
Integrate Adobe Analytics with Audience Manager:
If you're already using Adobe Analytics, integration with Audience Manager can be done relatively easily. Adobe Analytics will send its data to Audience Manager, allowing you to segment visitors based on Analytics data and trigger personalized experiences.
For example, if you track users who have used the earnings calculator, you could create a segment for these users in Audience Manager and then use that segment for personalized ads, content recommendations, or special offers.
Enable Seamless Data Sharing Between Platforms:
You’ll need to ensure that data from Adobe Analytics, Adobe Target, and Adobe Audience Manager flows smoothly. This is typically done through the Experience Platform or Adobe Launch.
Configure the data layer in Adobe Launch to make sure the data collected from your site (through the Web SDK) is sent to both Audience Manager for segmentation and Adobe Analytics for reporting.
Leverage AAM Segments in Marketing Campaigns:
Once you’ve segmented your audience, you can use these segments in various marketing efforts. For example:
Personalize content: Serve specific content to users based on their behavior, such as showing them tips on using the earnings calculator if they’re part of the "tool users" segment.
Targeted advertising: If you're running ads or campaigns, use AAM segments to target ads to specific types of users (e.g., frequent users who haven’t signed up for an account).
Real-Time Data Synchronization:
Ensure that your data is being collected and segmented in real-time, so your marketing and engagement efforts can be adapted quickly. Real-time data processing in AAM will allow you to react faster to user behavior, such as showing a personalized message when a user returns to your site.
Also, do accept the solution if earlier or current answer worked for you so that anyone else also facing something similar can directly go to the right response.
Thanks & Regards
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