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eRFM Customer Module uses a grading system that is measured by dynamic values captured from your pixel data.  ‍

eRFM stands for - Engagement, Recency, Frequency, and Monetary Value.

A key feature of eRFM audiences is its special ability to continuously optimize. The AI will analyze an audience over 24 hours and determine which events are most suitable to optimize for. Then, using the data collected from the event, it will create a lookalike audience with slight changes in recency, frequency, and monetary value. eRFM audiences are tailor-made to your account, which makes them likely to outperform other audiences.

The AI will run these duplicates anywhere from 1-3 days. Once it's done, the software will pick the top-performing audience and use it for the desired ad set. When the algorithm creates a fully optimized audience, it will automatically label the audience on the Ads Manager as Optimized.

The eRFM audiences are divided into the Customer Module for purchase conversions and the Visitor Module for visitor conversions.

How does it work?

Let's take Frequent High AOV Potential Visitor Audience as an example:

• The software will start by creating an audience based on the most broad parameter and visitors
• From there, it will continuously optimize to get more specific, as long as the audience stays large enough
• From visitors, it may then optimize from the first audience to create a second audience of visitors who have visited multiple times or have spent a significant amount of time on your page
• From audience two (if possible) it will then create a third, even more specific audience; for example, it may optimize for an audience of visitors who have visited multiple times AND have spent a significant amount of time on your page
• The system will continue to optimize to get as specific as possible, until the audience is no longer large enough to deliver
• These audiences will be labeled as Optimized, so that you can find them later

AOV (Average Order Value)

This module uses information from your pixel to determine lookalike audiences based on visitors to your site. These audiences will be broken down into 18 different audience types.

The 18 audience types will be combinations of the following 3 aspects:

1. Low, Medium, and High AOV
   The software breaks down the average order value to three levels — low, medium and high — by dynamically calculating the prices on your shop
2. Frequency
   The software will break down the number of visits of website visitors into three levels — infrequent, occasional, and frequent
3. Intent
   The software will break down your visitors behavior into two levels — high intent (the visitor took an action that indicates his intention to purchase) and mid intent (regular visitors who did not show any specific intention to purchase)

Frequent, Occasional, or Infrequent Audiences represent the quantity in which the user performed a selected engagement.

There are visitors who are more valuable to your business than others. Some visitors leave after a couple of seconds, whereas others deeply engage with your page and show high intent to perform the desired action.

Using the Frequent High AOV Potential Visitor Audience, you can build a segment of your most frequent visitors who demonstrated the highest intent to convert. These audiences tend to perform significantly better since the custom data we use to build the lookalike audience is made up of visitors with high quality traits, and due to the unique optimization process which takes place outside of Facebook's platform.

If the algorithm can create a fully optimized audience by adding all of the rules then the algorithm will automatically apply an “Optimized” label to the audience name within the Ads manager.  Leverage AI technology to discover and target your most profitable audiences. Launch audiences from the eRFM Customer Module for a complete setup of the eRFM audiences.

Why is my ad set not spending or delivering?

This is most often because of the way the ad set was configured. You should check the:

Audience size:

Often, when this happens, it's because your audience is too small. Be mindful of making your audience very specific. If you do, it makes it harder for Meta to find accounts that match them. This, in turn, means your audience size shrinks accordingly. You should keep the most relevant audience attributes and remove some of the others. At the same time, you should check your audience exclusions to make sure you aren't excluding too many people based on your selection.

Location:

The location of the people you're targeting impacts your performance. For example, if you're a local business and are targeting a small geolocation, your audience will likely be much smaller, making it more difficult for Meta to spend your ad budget. As with the audience settings, you should also check your location exclusions to see if you aren't restricting your audience too much.

Budget:

Your budget can also affect your ad delivery. Meta manages your ad budget according to how you set up your ad. Firstly, if your budget is too low, your ads will stop delivering once the budget cap is reached. An example of this could be that your ad set spends the budget early in the day, so it will stop delivering until the next day when the budget is replenished. If this is the case, you should increase your budget.

All of these may factor into why your ad set isn't delivering or spending its budget.

Open the AI Ad Hub inside the Creatives section of the Madgicx app. From there, you can generate ads in multiple ways.

Use the prompt box available throughout the AI Ad Hub to upload your own images, enter a text prompt, or build on your existing creatives. You can also browse the Ad Library for inspiration and click Generate Similar on any ad you like to instantly use it as a starting point for new designs.

Once your prompt is ready, choose your preferred format, template, and number of outputs, then click Generate. Your new creatives will appear in AI Generations, where you can further refine them using the built-in AI Image Editor before launching.

Absolutely. Even without pixel or historical campaign data, you can start creating and launching ads with Madgicx right away using the AI Ad Hub.

Browse thousands of real ads in the Ad Library to discover what’s working in your niche, save your favorite creatives to boards, and follow brands for ongoing inspiration.

When you're ready to create, use the AI Ad Generator to build new ads from a text prompt, upload your own images, use your existing creatives, or instantly generate similar ads from examples you find in the Ad Library.

Once your creatives are ready, launch directly from Madgicx—so you can start testing and gathering performance data from day one.

Get both the Ad Library and the AI Ad Generator as part of the Madgicx Pro Complete plan for $45/month. Try it for free for 7 days.

There are two main categories of creative ads: DPA (Dynamic Product Ads) and DCO (Dynamic Creative Optimization). Madgicx supports both types only for performance analysis. Madgicx does not allow users to create new DCO or DPA ads or relaunch existing ones.