Skip to main content

Flexible Shopping Insights (FSI) Support in Adbrew AMC Reports

A
Written by Adbrew Support

We have added support for the Flexible Shopping Insights (FSI) dataset across multiple AMC reports in Adbrew.

What does this mean for you?

Until now, these AMC reports primarily showed customer activity that could be attributed to advertising.

For example:

  • Add-to-cart activity generated from ads

  • New-to-Brand sales generated from ads

  • Product detail page activity influenced by ads

With the FSI dataset, you can now analyze similar customer activity from organic interactions as well, giving you a more complete picture of how customers engage with your products beyond advertising.

This helps you understand both:

  • Ad-attributed customer activity

  • Organic customer activity

Which Adbrew reports support FSI?

FSI data is currently supported in the following AMC reports:

  1. ASIN Overlap

  2. Detail Page Abandonment

  3. Add to Cart

  4. New to Brand Product

  5. Customer Lifetime Value

How does it work in Adbrew?

If the FSI dataset is already enabled for your AMC instance, Adbrew will automatically start using the available FSI data across the supported reports.

There is no additional configuration required inside Adbrew.

You will be able to analyze organic customer behavior alongside advertising activity wherever FSI data is supported.

What if FSI is not enabled for my AMC instance?

If FSI is not currently enabled for your AMC instance, you will need to activate it from the Amazon AMC Console.

To enable it:

  1. Log in to your Amazon AMC Console.

  2. Open your AMC instance.

  3. Navigate to the Paid Features section.

  4. Find "Amazon Insights".

  5. Enable the dataset for your AMC instance.

Once FSI becomes available for the AMC instance, Adbrew will automatically incorporate the data into the supported reports.

Why should I enable FSI?

FSI provides a broader view of customer behavior by allowing you to analyze activity that may not have originated from an advertisement.

For example, you can better understand:

  • Which products customers organically view or add to cart

  • Where customers abandon their purchase journey

  • Product overlap across customer shopping journeys

  • New-to-Brand purchasing behavior beyond ad-attributed sales

  • Longer-term customer value across organic and advertising interactions

By combining advertising and organic shopping insights, you can make more informed decisions around advertising strategy, product targeting, remarketing, cross-selling, and customer retention.

Did this answer your question?