Audience segmentation for Amazon DSP is both an art and a science-and it’s one of the most critical levers for campaign performance. Unlike traditional platform targeting, Amazon DSP gives you access to Amazon’s immense shopping and behavioral data, which means you can build segments that are deeply rooted in purchase intent. However, without a structured approach, you risk wasting budget on broad, unqualified audiences. Let’s break down the most effective ways to segment audiences for Amazon DSP campaigns.
Start with the Funnel: Awareness, Consideration, and Conversion
The first principle of segmentation is aligning your audiences with campaign objectives. Your targeting strategy should directly match where a customer is in their buying journey-and each stage requires a different approach.
Top-of-Funnel: Prospecting and Awareness
Here, you’re looking for new customers who have shown interest in your category but haven’t yet engaged with your brand. Amazon DSP’s behavioral segments are your best tool. Use these:
- In-Market Audiences: Amazon identifies shoppers actively researching or purchasing in specific categories (e.g., “Pet Supplies” or “Running Shoes”). These are high-intent prospects.
- Lifestyle and Interest Segments: Broader groups based on shopping patterns (e.g., “Fitness Enthusiasts” or “New Parents”). Great for brand awareness.
- Lookalike (Similar) Audiences: Upload a seed list of your best customers or email subscribers, and Amazon will find users with similar behavioral profiles. This is often the highest-performing prospecting segment.
Middle-of-Funnel: Consideration and Intent
This is where you target people who have shown direct interest in your products or competitors. Key segments include:
- Brand Searches: Users who have searched for your brand or related keywords on Amazon (via Amazon’s search query data).
- Product Detail Page Visitors: Shoppers who viewed your product pages but didn’t purchase. This segment often responds well to retargeting.
- Category Browsers: Users who have viewed your category pages or similar product lines. They’re exploring options.
Bottom-of-Funnel: Retargeting and Conversion
Your highest-value segments are those who have already shown clear purchase intent. Use Amazon DSP’s retargeting capabilities to bring them back:
- Cart Abandoners: Customers who added your product to their cart but didn’t complete the purchase. These are your hottest leads.
- Purchased from Brand: Past buyers can be segmented for repeat purchases or cross-sells.
- Purchased from Category: Users who bought a similar product from a competitor or in the same category. Perfect for conquesting.
- ASIN-Level Retargeting: Target users who viewed specific ASINs (Amazon Standard Identification Numbers) of your products-or even competitor ASINs.
Leverage First-Party Data for Custom Segments
Amazon DSP allows you to upload your own customer data, which is a powerful way to create brand-specific segments. The key is to be intentional about which data you use and how you layer it.
- Email Lists and Customer Files: Upload hashed email lists of your existing customers. Amazon will match them to Amazon accounts and let you target or exclude them.
- Purchase History Segmentation: Divide your uploaded data into tiers-high-value vs. low-value, frequent vs. infrequent buyers. This lets you tailor bidding and messaging.
- Layered Targeting for Precision: Combine first-party segments with Amazon behavioral data. For example, target “Past Buyers of Premium Coffee Makers” who are also “In-Market for Coffee Beans.” This reduces waste.
Exclusion Segments Are Just as Important
Smart segmentation isn’t only about who you target-it’s also about who you don’t target. Always create exclusion audiences to avoid burning budget on unqualified or already-converted users.
- Exclude Recent Purchasers: If someone bought your product in the last 30 days, they’re unlikely to need it again soon (unless it’s a consumable).
- Exclude Low-Intent Shoppers: Users who have visited your pages multiple times without buying may be researching but not ready. You can either bid lower or exclude them from awareness campaigns.
- Exclude Your Own Customers from Prospecting: No need to pay for awareness impressions to people who already know your brand. Save that budget for retargeting or upsells.
Advanced Segmentation Techniques That Drive Results
Once you master the basics, consider these strategies to further refine performance:
- Dayparting by Segment: Some audiences convert better at certain times. For example, “Working Parents” might engage more during evening hours. Layer time-of-day data onto your segments.
- Device and Geography Layers: Segment by device type (mobile vs. desktop) or geographic region. A segment like “Mobile Users in Urban Areas” can outperform a broad audience.
- Purchase Frequency Modeling: Amazon’s Amazon Marketing Cloud (AMC) lets you build custom segments based on purchase cycles. Target customers who are due for a repurchase based on historical intervals.
- Cross-Sell and Bundle Segments: Identify customers who bought a specific product (e.g., a blender) and target them with complements (e.g., smoothie recipe books or spare parts).
Testing and Iteration: The Secret Sauce
No segmentation strategy is perfect out of the gate. The most successful Amazon DSP advertisers use a structured testing framework. Start with three to five core segments per funnel stage, with clear KPIs (like ROAS or click-through rate). Monitor performance weekly and kill underperforming segments early. Then, double down on winners and expand with similar lookalikes or new first-party data layers.
Remember, the goal of segmentation is not just to show ads-it’s to deliver the right message, to the right person, at the right time. Amazon DSP gives you the data to do that with surgical precision. Use it wisely, and you’ll turn audience segments into a competitive advantage.
