Exclude Audience in Amazon DSP Campaigns to Increase ROAS

This guide will explore how excluding audiences in Amazon DSP campaigns can refine ad strategies, minimize efficiencies, and maximize performance.

Why Excluding Audiences Matters in Amazon DSP

Excluding audiences from Amazon DSP campaigns ensures that ads are only shown to high-intent, relevant users. This helps advertisers:

• Avoid Wasting Budget: Prevents ads from being served to users who have already converted or have no interest.

• Improve Click-Through Rates (CTR): Ensures ads reach users who are more likely to engage or show interest.

• Reduce Ad Fatigue: Prevents overexposure to the same audience, maintaining ad effectiveness.

• Enhance Conversion Rates: Target users at the right stage of the buying journey.

• Optimize Bidding Strategy: Shifts bids on valuable impressions rather than irrelevant ones.

Types of Audiences to Exclude for Maximum ROAS

Existing Customers

For businesses focused on acquiring new customers, excluding existing customers ensures ad spend is used on potential customers rather than those already purchased. Here are a few ways to exclude existing customers:

• First-Party Data: Use customer lists from past purchases.

• Amazon Audience Segments: Exclude users who have recently bought similar products.

Low-Engagement Users

Users who have previously engaged with ads but have now shown any interest nor taken any meaningful action (e.g., visited product display page (PDP) several times but didn't convert). These users can be identified and excluded via:

• Amazon Pixel Data: Exclude users with repeated bounces.

• Behavioral Data Analysis: Track non-converting ad interactions.

Recent Converters

Customers who have just completed a purchase may not need another similar product immediately. Excluding them prevents unnecessary ad impressions and saves the budget. With Hector, you can set an exclusion window, for instance, for the last 30-60 days, based on their shopping behaviour and past purchase frequency.

Irrelevant Demographics

Targeting demographics that are not relevant to the product or service leads to wasted ad spend. Exclude audiences based on gender, age, geolocation, etc.

Users Who Have Already Seen the Ad Multiple Times

Overexposing users to the same ad can lead to ad fatigue. Implementing frequency caps ensures optimal exposure levels without overloading users, better engagement rates by reducing or preventing ad fatigue, and reduced costs by limiting wasted impressions.

How to Implement Audience Exclusions in Amazon DSP

Utilize Amazon First-Party Data

Amazon provides access to a large amount of first-party data, enabling marketers to create precise exclusion lists. Leverage this data to exclude recent purchasers, remove non-engaged users from retargeting campaigns, and filter out users outside the target demographic.

Implement Amazon Pixel & Audience Segmentation

Amazon pixel helps track user behaviour on the website, allowing advertisers to identify high-intent potential customers for retargeting, exclude visitors who did not show purchase intent, and segment users based on engagement levels.

Use Negative Audience Targeting

Negative audience targeting allows advertisers to exclude predefined groups from their campaigns. You can do this by uploading first-party data (purchase history, CRM lists), utilizing Amazon's lifestyle and in-market audience exclusions, and excluding remarketing audiences from acquisition campaigns.

Leverage Geographic Exclusions

If a product is only available in specific locations, excluding users outside these regions helps prevent wasted impressions. This is very useful for localized campaigns, where you can target city or state-specific users and logistics optimization, where you can avoid shipping-restricted locations.

Use Lookback Windows for Smart Exclusions

Set specific lookback windows to exclude users based on their last purchase or interaction. This strategy helps prevent ad spending on recently converted users and re-engage past customers whenever needed.

Best Practices for Audience Exclusion in Amazon DSP

Continuously Analyze Performance Metrics

Monitor campaign performance regularly to ensure exclusion strategies are effective. Track by analyzing metrics such as impression wastage, CTR and conversion rate, and ROAS.

A/B Test Different Exclusion Strategies

Experiment with different audience segments and exclusions to find the best combination. For instance, measure performance by excluding recent buyers for 30 vs. 60 days. Or remove low-engagement users vs. keeping them in retargeting pools.

Adjust Exclusions Based on Seasonality

To increase ROAS, you can adjust some exclusions dynamically based on a specific time of the year. For example, during holiday seasons, reduce the exclusion window to maximize conversions, and post-holiday, expand exclusions to avoid wasted ad spend on recent buyers.

Optimize Retargeting Lists Regularly

Refine retargeting lists regularly by removing users who are unlikely to convert and shifting your focus to high-intent existing customers.

Conclusion

Opting for audience exclusion in Amazon DSP campaigns reduces wasted ad spending, improves efficiency, and increases ROAS. By utilizing first-party data, negative audience targeting, frequency capping, and geographic filters, marketers can modify and fine-tune their campaigns to reach the most relevant users. A data-driven approach will ensure your dollars are spent effectively, eventually maximizing the campaign's overall growth.

Start implementing these exclusions in your Amazon DSP campaigns today to optimize conversions and drive a better ROAS. Create a DSP account for free with Hector today, and launch your first Amazon DSP ad in just a few simple steps to optimize your campaigns and maximize your ROAS.