1- Business Problem:

The current system lacks an efficient mechanism to classify clients after the execution of campaigns, At the end of the advertising campaign, the client wants a sheet containing customers that the advertising campaign failed to reach to them. So that the advertising campaign can be more effective in future campaigns.

2- Desired Outcome:

The desired outcome is the implementation of a Campaign Classification Sheet feature. This feature will enable users to categorize clients based on the success or failure of the campaigns sent to them. This classification will provide valuable insights into campaign performance, allowing users to make data-driven decisions and refine their strategies for better results.

3- Use Cases:

Performance Analysis.

Data-Driven Decision Making.

4 - Current Workaround:

The client accesses the results of the advertising campaign in reports and sees the error, client by client.

5- Proposed Solution:

Implement a Campaign Classification Sheet within the platform, allowing users to easily classify clients into categories such as "Campaign Succeeded" and "Campaign Failed." This sheet should be downloadable on their devices.

6- Benefits:

The campaign module in the platform will be more effective in future campaigns.

Improved Decision-Making: Users can make informed decisions based on categorized client data, leading to more effective and targeted future campaigns.

Enhanced User Experience: The addition of this feature contributes to a more comprehensive and user-friendly platform, meeting the needs of users seeking detailed campaign insights.