Apple mail segmentation dashboard

Use Case maturity:

Basic

What to expect:

customer segmentation

Use Case goal:

Insights

Use case description

The Apple mail segmentation aims to provide an amplified understanding of your email audience, focusing on those using Apple Mail Privacy Protection devices. This initiative is valuable as it directly impacts your email list's health and campaign metrics, allowing you to gauge your subscriber engagement better. By distinguishing between 'real' and 'fake' open rates and updating the criteria for active Apple Mail subscribers, you can boost accuracy in your reporting and efficacy in your targeting efforts.

Use case items

With this use case, you’ll get an:

• Evaluation dashboard: A comprehensive dashboard provides insights into user behavior, campaign performance, and overall engagement metrics. The dashboard allows you to evaluate the effectiveness of your marketing strategies and make data-driven decisions.

How to deploy the use case

After downloading the use case, follow these steps.

Meet the requirements

Check if the data in your project meets the requirements. The Use Case Center lists requirements for each use case during the deployment process.

Understand the use case logic

The Apple Mail Segmentation use case is highly customizable, allowing modifications in various elements to adapt to your specific requirements.

The key components that you can adjust include:

1. Apple Mail Segmentation: This component uses data from the last 180 days. However, you can modify the period according to your needs or focus on high-frequency senders.
2. Email List Health 2022 Segmentation: This groups customers based on their activity and includes click data for Apple Mail users. You can alter segmentation criteria here to reflect your audience's behavior better.
3. Email Reporting: This provides campaign performance metrics with a specific breakdown for Apple Mail users. You can adjust this report's data points to match your reporting needs.

Remember, changes in your tracking attributes, such as switching between "total_price" and "full_amount", would directly affect how the respective elements within the Use Case operate. Always ensure your adjustments align with your overall tracking and reporting strategy.