Reducing wasted ad spend should be one of the seller’s main priorities when selling on Amazon. However, you’d be surprised by how much money gets blown away by ineffective strategies that result in stale, money-wasting ad orders. In fact, sellers who don’t know how to optimize Amazon DSP orders suffer a long list of disadvantages you want to dodge from the get-go.
Unlike standard search ads, Amazon’s Demand-Side Platform (DSP) allows you to reach shoppers across multiple platforms and websites, which means the potential for waste is significantly higher if you do not have a strict strategy in place.
This article will cover the basic concepts you’ll need to learn to master this platform and reduce wasted ad spend to its absolute minimum. Remember, the faster you apply these methods, the more money you’ll save along the way.
Audience Overlap in Amazon DSP: How Bidding Against Yourself Increases CPM and Wastes Budget
A common way that brands waste money on Amazon DSP is by unknowingly bidding against themselves.
This occurs through audience overlap, where multiple orders or “line items” in your account target the same person simultaneously.
You might think that targeting two different audience groups would reach two distinct audiences. However, many individuals fit into many categories at the same time. This is what many sellers don’t get when starting out with DSP.
People have many interests, and the platform won’t automatically help you reach new, segmented audiences. But it will give you the tools to make it happen.
However, if you don’t take steps to resolve this, your orders will end up in the same auction and show the same ad to the same person who isn’t buying.
Meanwhile, internally, Amazon’s system must choose which of your bids will win. This competition unnecessarily inflates your Cost Per Mille (CPM), resulting in higher costs to reach the same customer you could have reached for less.
The reason bidding against yourself is so expensive is that Amazon’s auction is designed to pick the single highest bid from your account for any given impression.
The solution? Run and set the proper exclusions for each audience.
Amazon DSP Audience Overlap Report: How to Set Exclusions and Stop Competing Line Items
To break this cycle of overspending, use the Audience Overlap report in the DSP console.
Note: You can learn more about how to create Amazon DSP Reports in the BellaVix Blog
This report is essential because it reveals the shared ads between your different targeting groups.
The key metric to watch here is the Overlap percentage. This number shows the portion of one audience that is also in another. If you see an overlap of 40% or higher, those two groups are likely too similar, and you are almost certainly bidding against yourself:
These are audiences Amazon itself recommends to all sellers when creating a new audience to target. We’ll see how exclusions play a part in this later, but you must know that overlapping is not always a dreadful sign of wasted spend. It’s a tool:
You must see it as a useful insight or benchmark. Like Amazon PPC Audits.
If an audience is performing exceptionally well, highly overlapping audiences (such as 70% or 80% overlap) can provide excellent ideas for extra targeting and segmenting traffic.
However, if an audience performs poorly, you should avoid other segments that overlap significantly with it to prevent further waste.
The Overlap score gives you useful data that an serve as bridges between strategies. Take advantage of it.
- Note: For clients with a tight budget, a high overlap of 75% and above is preferable when choosing similar successful audiences.
Another vital metric in this report is the Affinity Index.
This index shows how much more likely a user in your target group is to belong to another specific group than the average Amazon shopper. For example, if your “Pet Supply” audience has a high Affinity Index with a “Home Improvement” audience, you can see that these two groups are behaving in a very similar way.
Amazon DSP Relevance: Why Higher CTR Can Lower Costs and Improve Delivery
It might seem counterintuitive that a highly relevant ad could actually cost you less to display, but this is a core part of how the Amazon bidding algorithm works.
Amazon wants to show ads that people actually like and click on because that is how the platform generates revenue and keeps shoppers happy.
When your ads have a high Click-Through Rate (CTR), it sends a powerful signal to the algorithm that your content is a perfect match for the audience.
As a reward for this relevance, the system often grants a premium placement even if its bid is slightly lower than that of a generic ad. Amazon DSP Retargeting is all about this.
The algorithm would rather take a slightly smaller payment from an ad that is almost guaranteed to get a click than a larger payment from an ad that shoppers will likely ignore.
That’s why making great creative decisions and targeting high-intent segments is important. With Amazon DSP, it all ties together, from your listing optimization to the quality of your images. All of it increases your chances of having attractive ads that people remember.
How to Find Wasted Amazon DSP Spend: DPVR, Placement Reports, Device, and Geo Outliers
To identify where your budget is being drained, you must look beyond total sales and examine the performance of your audiences and placements.
- Start by identifying audience segments with high spend and very low Detail Page View Rates (DPVR). These are people who see your ads but have no interest in your product.
- Examine your Geographic and Device reports to spot outliers. It is common to find that a large portion of your budget is spent on mobile app placements with high CTR but almost no conversions.
Start with remarketing audiences, then conquest competitors, and finally move to the top of the funnel for broad targeting. One highly effective audience type is targeting users who viewed similar products in the last 30 days through this page:
Use a mix of your own ASINs and competitor ASINs to capture high-intent traffic.
One possible source of waste is targeting people who have already bought your product. optimize your ad spend even better, you can exclude past purchasers. Since they have already acquired the product, those impressions are often useless.
- The exception to this rule is when you are releasing a brand-new product, in which case your past purchasers become a prime audience for your new launch.
Amazon DSP Optimization Checklist: Daily, Weekly, and Monthly Maintenance to Prevent Budget Leaks
One of the biggest setbacks of Amazon DSP is that the impact of its orders on sales is very difficult to measure. That’s why most of the issues covered in this article happen in the first place.
To keep your orders profitable, we recommend following a consistent maintenance schedule. It should be routine to ensure that small errors do not escalate into significant budget leaks over time.
We’re dividing it into daily, weekly and monthly checks:
Daily Amazon DSP Checks: Pacing and Frequency Caps
Every day, check your campaign pacing to ensure you aren’t spending your entire budget too early in the day.
While doing this, monitor your frequency caps to ensure the same person isn’t seeing your ad more times than you intend per day.
Weekly Amazon DSP Checks: Cost Per DPV, Creative Performance, and Placement Blocking
Evaluate cost per detail page view (DPV); Each category will have different targets. Redirect the budget to the most performing ones.
Shift budget toward audiences with a higher DPV rate or CTR.
Check creatives and their CTAs (“Shop Now”, “See Product”). Are they strong enough? After adding a new creative, check it regularly and keep the best-performing ones.
Also, review your placement reports and block any specific apps or websites that are generating clicks but no sales.
Monthly Amazon DSP Checks: Audience Overlap Review and Creative Rotation for Sustained CTR
Run a full Audience Overlap report to identify areas where your orders may be competing.
Rotate your ad creatives by testing new images or headlines to keep your Click-Through Rate high and maintain your “relevance discount.”
Conclusion: Reduce Amazon DSP Waste With Overlap Insights, Strong Exclusions, and Consistent Monitoring
Three insights:
- Overlap can be a tool for scaling successful audiences.
- Exclusions are your best defense against wasted spend.
- Amazon DSP orders need consistent monitoring.
Understanding it all is a great way to start for any seller getting into Amazon DSP.
This platform requires time and effort to constantly check and master. But when it works, be sure that complementing your Amazon growth with insightful DSP orders is the ultimate way to build a dominant brand.
Amazon DSP FAQs: Optimization, Audience Targeting, Exclusions, and Measurement
What is Amazon DSP, and how is it different from Sponsored Ads?
Amazon DSP is a programmatic advertising platform that lets brands reach shoppers both on and off Amazon using display, video, and audio ads. Unlike Sponsored Products or Sponsored Brands, DSP focuses on audience targeting.
Why is wasted ad spend more common in Amazon DSP?
DSP allows you to target multiple audiences across many placements at once. Without exclusions, frequency caps, and overlap checks, it is easy to show the same ad to the same shopper too often or to bid against yourself across similar audiences, which drives CPMs up without increasing conversions.
Is audience overlap always a bad thing?
No. Audience overlap is a diagnostic tool. The key is knowing when to exclude and when to expand.
What is the Affinity Index and why does it matter?
The Affinity Index shows how likely one audience is to belong to another compared to the average Amazon shopper. A high Affinity Index between two audiences means they behave similarly, which helps you decide whether to consolidate, exclude, or test new segments.
Should I exclude past purchasers from my DSP campaigns?
In most cases, yes. Targeting shoppers who already purchased your product often wastes impressions. The main exception is when launching a new product, where past purchasers can be a valuable high-intent audience. Past purchasers’ audiences also come in handy when the brand is looking to retain them with different incentives.
How do frequency caps work in Amazon DSP, and what settings reduce wasted impressions?
Frequency caps limit how often the same shopper sees your ad within a set time period. Tighten caps when CTR drops, DPVR is low, or reach is narrow, and loosen them only when your audience is large, and conversion signals stay strong.
What is a good CPM in Amazon DSP, and how do I know if I am overpaying?
A good CPM depends on category, audience type, and placement mix, so the better benchmark is efficiency. If CPM rises while DPVR, add to cart, or purchase rate stays flat, you are likely overbidding, targeting too broadly, or competing with overlapping line items.
How do I audit Amazon DSP placements to block low-quality apps and sites?
Use placement and site or app reports to identify sources with spend and clicks but weak DPVR and sales. Block repeat offenders, then reallocate budget toward placements that generate stronger detail page engagement and downstream conversions.
How should sellers structure Amazon DSP campaigns to achieve full-funnel performance?
Start with remarketing audiences, then add high-intent market and product-viewer audiences, and only then expand into broader lifestyle and category segments. Separate line items by funnel stage and apply exclusions between them so the same user does not get targeted across multiple stages at once.
How do I measure Amazon DSP performance when attribution is unclear or delayed?
Track a mix of DSP metrics and Amazon signals: DPVR, branded search lift, new to brand share, and blended ad efficiency at the account level. Compare performance during controlled budget shifts and isolate audience changes so you can see what improves outcomes even when reporting is imperfect.
Ready to Stop Wasting Money on Amazon DSP?
If you’ve made it this far, you already know one thing: Amazon DSP can be incredibly powerful, but only when it’s managed with intention. Audience overlap, weak exclusions, low relevance, and unchecked placements quietly drain budgets every single day. Most brands do not notice the leaks until thousands are already gone.
The good news is that wasted DSP spend is fixable. And in many cases, the fastest wins come from small strategic adjustments that most sellers never make.
Ready to Reduce Wasted Amazon DSP Spend?
If you’re reading this, you already know where most DSP waste comes from. Audience overlap that forces you to bid against yourself. Exclusions that are missing or set incorrectly. Placements that look busy on clicks but never turn into detail page views or sales. These leaks add up fast, and they usually stay hidden until the budget is already gone.
The good news is that most fixes are straightforward once the orders are structured correctly and the reporting is reviewed with the right lens.
Get a DSP Efficiency Review From BellaVix
By filling out the form below, you’re taking the first step toward a cleaner, more efficient Amazon DSP setup. Our team reviews how your line items are organized, where overlap is inflating CPM, which exclusions are missing, and what reporting signals point to wasted spend.
You walk away with clear, actionable recommendations you can apply right away, whether you manage DSP in-house or with a partner.
Fill out the form below, and let’s make your Amazon DSP budget work harder with less waste.