This feature is currently in beta.

 

How to read and analyze your attribution campaign

 

Attribution is the measurement of people’s actions on your website app, or physical location after they hear your ad. The Spotify Pixel and Conversions API help you track conversions that could be attributed to your Ads Manager campaign and reporting is available at both the ad set and campaign levels. 

 

Before analyzing campaign results, make sure you have clear answers to the following questions: 

  • What was the campaign's primary KPI?

  • What were the targeting tactics used across the media?

  • What was the call-to-action in the creative?

  • Which conversion events were included for the Spotify Pixel and/or Conversions API? 

 

Ads Manager campaigns that use the Spotify Pixel or Conversions API will be eligible to track and see aggregated data for the specific conversion events being measured. 

 

Available attribution metrics include: 

  • Page Views: Number of attributed website page views

  • Leads: Number of attributed leads

  • Adds to Cart: Number of attributed add-to-cart events

  • Purchases: Number of attributed purchase events

  • Revenue: Attributed revenue from purchase or lead events

  • Average Order Value (AOV): The average revenue generated per purchase or conversion.

  • Return on Ad Spend (ROAS): The revenue generated for every dollar spent on advertising.

  • Customer Acquisition Cost (CAC): The average cost to acquire a new customer or conversion.

  • Cost per Lead (CPL): The average cost to generate a single lead.

    Start Checkout: The number of times users begin the checkout process.

  • Product Views (View Product): The number of times users view a product page.

  • Sign Ups: The number of times users register for a product, service, or event.

  • Custom Events: Advertiser-defined actions tracked on a website, app, or offline location that are not covered by Spotify’s standard event types.

 

Notes for Analysis 

 

Compare ad sets – Evaluate which ad sets saw the highest conversion rate, and ask yourself if there are any reasons why a specific ad set might perform better than another (ex. audience targeting tactics, creative messaging, seasonality, etc.).