At first glance, Amazon DSP and Facebook Ads might seem like entirely different beasts. Amazon DSP operates within a retail-centric ecosystem driven by deep transactional data, while Facebook Ads thrives on social interactions, user interests, and demographic profiles. However, when you strip away the interface differences, the core audience strategies of both platforms share striking similarities—particularly in how they leverage custom audiences and lookalike modeling to drive performance.

1. Custom Audiences and List-Based Targeting

Both platforms excel at allowing advertisers to target specific, known user groups, but they approach data collection from different angles.

Facebook Ads (Meta)

On Facebook, you can upload offline customer lists containing email addresses or phone numbers. Meta then matches this data with its active user base, allowing you to target these exact individuals with tailored campaigns.

Amazon DSP

Instead of relying solely on uploaded lists, Amazon DSP allows you to leverage Amazon’s unparalleled first-party shopping data. For example, you can build an audience of users who purchased "Product A" and use this data in two powerful ways:

  • Exclusions: Exclude past purchasers from seeing your ads to prevent ad fatigue and save budget.
  • Upselling and Cross-selling: Target past buyers of "Product A" with ads for "Product B" to increase Customer Lifetime Value (LTV).

2. Lookalike and Similar Audiences

Scaling your reach requires finding new prospects who behave like your best customers. Both platforms use sophisticated machine learning to achieve this.

Facebook Ads

Using your high-value customer lists (such as top spenders or repeat buyers) as a seed, Facebook creates Lookalike Audiences. These are users who share similar behaviors, interests, and demographics with your seed audience.

Amazon DSP

Amazon DSP utilizes its massive repository of retail and search data to build Lookalike Audiences based on high-performing buyer segments. Instead of social interests, Amazon analyzes actual shopping patterns, search history, and purchase behaviors to find new users with high purchase intent.

The Strategic Takeaway

While Amazon DSP is fundamentally driven by purchase intent and Facebook Ads is fueled by social interests and engagement, both platforms empower advertisers with advanced data modeling. By refining high-value traits from existing customers, you can efficiently acquire new prospects and win back lost shoppers across both channels.