Amazon DSP gives brands a powerful way to reach shoppers both on and off Amazon using programmatic advertising. It uses Amazon’s first-party shopper data to target audiences based on real shopping behavior, not just search keywords. That makes it a key tool for brands that want to build awareness, retarget interested shoppers, and scale growth beyond Sponsored Ads.
In this guide, you will learn the most important Amazon DSP best practices for 2026, including how to approach targeting, bidding, creative strategy, and campaign scaling to drive stronger performance across the full eCommerce funnel.
If you want to see how brands are using Trellis to grow their advertising performance, pricing strategy, and analytics, explore our Success Stories. These real examples show how Trellis helps brands improve Market Share and scale profitably across Amazon and Walmart.
Key Insights
- Amazon DSP is a full-funnel growth tool. Unlike Sponsored Ads, DSP allows brands to reach shoppers before they search by targeting audiences based on real shopping behavior across Amazon and the open web.
- Successful DSP campaigns require clear targeting and structured budgets. Separating prospecting and remarketing audiences, using frequency caps, and aligning KPIs with funnel stages helps campaigns scale efficiently.
- AI-driven optimization is becoming essential for DSP management. With complex targeting, bidding, and performance signals, AI tools help advertisers analyze data faster and adjust campaigns in real time to improve results.
What Is Amazon DSP (and Why It Matters in 2026)?
Amazon Demand-Side Platform (Amazon DSP) is Amazon’s programmatic advertising platform. It allows brands to buy display, video, and audio ads using Amazon’s first-party shopper data. Instead of targeting keywords, Amazon DSP targets audiences based on real shopping behavior such as browsing activity, product views, and past purchases.
DSP ads can appear across Amazon properties like Amazon.com, Prime Video, Twitch, and Fire TV. They can also appear on third-party websites and apps. This allows brands to reach shoppers both on and off Amazon throughout the buying journey.
Amazon DSP matters more in 2026 because advertising competition continues to increase. Sponsored Ads costs are rising in many categories. At the same time, privacy changes are reducing access to third-party data. Amazon’s first-party shopper signals give advertisers a strong advantage when targeting the right audiences.
DSP also supports a full-funnel strategy. Brands can run prospecting campaigns to reach new audiences, retarget shoppers who viewed products, and re-engage past buyers. When used alongside Sponsored Products, Sponsored Brands, and Sponsored Display, Amazon DSP helps brands expand reach, influence purchase decisions earlier, and grow Market Share across the eCommerce funnel.
How Does Amazon DSP Fit into a Full-Funnel Advertising Strategy?
Amazon DSP works best when it supports a full-funnel advertising strategy. Instead of focusing only on conversions, DSP helps brands reach shoppers at multiple stages of the buying journey. This includes building awareness, driving consideration, and converting high-intent shoppers.
Many brands rely heavily on Sponsored Products to capture demand. That approach works well for shoppers who are already searching. It does not influence shoppers earlier in their journey. Amazon DSP helps close that gap by reaching relevant audiences before they search.
DSP uses Amazon’s first-party shopper data to identify people who are likely to be interested in your category or product. This allows brands to introduce their products earlier and guide shoppers toward a purchase decision.
Awareness Campaigns (Streaming TV, Video, Prospecting)
Awareness campaigns focus on reaching new audiences. Streaming TV, online video, and broad audience targeting help brands introduce products to shoppers who may not know the brand yet.
These campaigns prioritize reach and viewable impressions. The goal is to build familiarity and expand audience pools for later retargeting.
Read more: How to Add Videos to Amazon Product Listing
Consideration Campaigns (Views Remarketing, Lifestyle Audiences)
Consideration campaigns focus on shoppers who have already shown interest in similar products. This can include people who viewed related items, browsed a category, or belong to lifestyle audiences aligned with your product.
Display and video ads often work well at this stage. The goal is to drive deeper engagement and increase product detail page views.
Conversion Campaigns (Purchase Remarketing)
Conversion campaigns target shoppers who have already interacted with your brand. This often includes users who viewed your product detail pages or added items to their cart.
Remarketing campaigns help bring those shoppers back to complete their purchase. These campaigns typically focus on return on ad spend, cost efficiency, and new-to-brand customer acquisition.
Want to see how your brand can grow upward and in the right direction? Download our free ebook on full-funnel marketing strategy to learn the framework successful brands use to scale across Amazon and beyond.
Amazon DSP Targeting Best Practices
Strong targeting is the foundation of every successful Amazon DSP campaign. The platform’s biggest advantage is access to Amazon’s first-party shopper data. Brands can reach audiences based on real purchase behavior, browsing patterns, and product interactions. When used correctly, this data helps advertisers reach the right shoppers at the right stage of the buying journey.
Effective targeting also requires clear campaign structure. Many brands separate audiences by funnel stage and run them in different line items. This helps control budgets, measure performance accurately, and avoid audience overlap.
Use First-Party Amazon Audiences
Amazon DSP offers several audience types built from shopper signals across the Amazon ecosystem. These audiences help brands reach shoppers who are already likely to be interested in their category.
Common audience types include:
- In-market audiences, which target shoppers actively researching a product category
- Lifestyle audiences, which group shoppers based on long-term interests and behaviors
- Views remarketing, which targets shoppers who viewed related products
- Purchase remarketing, which targets past buyers for cross-sell or repeat purchases
- Lookalike audiences, which expand reach by targeting shoppers similar to existing customers
Starting with broader audiences often helps prospecting campaigns scale. Narrower remarketing audiences work better for mid-funnel and conversion campaigns.
Build Custom Audiences with Amazon Marketing Cloud (AMC)
Advanced advertisers often use Amazon Marketing Cloud (AMC) to build more refined audiences. AMC allows brands to analyze shopper behavior across multiple ad exposures and build custom segments.
For example, advertisers can create audiences based on:
- Frequency of ad exposure
- Path-to-purchase behavior
- High-value customer segments
- Shoppers who engaged but did not convert
These audiences help brands target shoppers more strategically. They also help reduce wasted spend by focusing on the audiences most likely to convert.
Read more: Retail Media Mix Models: Budget Split Templates for SP/SB/SD + DSP by Category Maturity
Avoid Audience Overlap and Budget Cannibalization
Audience overlap is a common issue in Amazon DSP campaigns. When multiple campaigns target the same shoppers, budgets can compete against each other. This often drives up CPMs and reduces efficiency.
To avoid this problem, advertisers often separate audiences by funnel stage and use exclusions where appropriate. For example, prospecting campaigns can exclude recent purchasers, while remarketing campaigns focus only on shoppers who previously engaged with the brand.
Clear audience segmentation helps campaigns scale more efficiently. It also improves reporting accuracy when analyzing DSP performance.
How Trellis Can Help With Amazon DSP Strategy
Managing Amazon DSP campaigns requires strong data analysis, structured campaign management, and continuous optimization. As campaigns expand across multiple audiences, placements, and creative formats, it becomes harder for teams to manually track performance signals and adjust strategy quickly.
Trellis helps brands simplify this process by combining advertising automation, dynamic pricing insights, and performance analytics in one platform. By connecting advertising data with product performance and shopper insights, Trellis helps brands make better decisions about targeting, budget allocation, and campaign scaling.
Trellis also helps advertisers monitor key signals across the eCommerce funnel, from audience engagement to conversion performance. These insights help teams identify opportunities to improve campaign efficiency while expanding Market Share across Amazon and Walmart.
If you want to manage complex DSP strategies with more clarity and control, book a demo to see how Trellis can help support your growth.
Read more: Cavalier Wholesale Drives $56K in Added Revenue with AI-Powered Dynamic Pricing
Bidding and Budgeting Strategies for Amazon DSP
Amazon DSP uses a cost-per-thousand impressions bidding model. This means you pay for ad visibility rather than clicks. Because of this structure, bidding strategy should align with your campaign goals and where the audience sits in the funnel.
Many brands approach DSP like Sponsored Ads and focus only on return on ad spend. That can limit performance. DSP often supports awareness and consideration stages, where the goal is to influence shoppers earlier in their journey.
A strong bidding strategy balances reach, efficiency, and long-term growth.
Set the Right KPIs by Funnel Stage
Different funnel stages require different performance metrics.
Awareness campaigns usually focus on reach, viewable impressions, and frequency. The goal is to introduce your brand to relevant audiences.
Consideration campaigns often track click-through rate and detail page views. These metrics show whether shoppers are engaging with the ad and exploring your product.
Conversion campaigns typically focus on return on ad spend, cost per acquisition, and new-to-brand sales. These campaigns retarget shoppers who already showed interest in the product.
Matching bids to the right KPI helps campaigns optimize correctly.
Use Frequency Caps to Control Waste
Frequency caps control how often the same shopper sees your ad. Without limits, campaigns may show ads too often to the same audience. This can waste budget and lead to ad fatigue.
Lower frequency caps often work well for prospecting campaigns because the audience is broad. Retargeting campaigns usually allow higher frequency because the shoppers already showed interest.
Monitoring frequency performance helps identify when additional impressions stop driving results.
Allocate Budget Across Prospecting and Retargeting
A balanced budget strategy helps DSP campaigns scale more efficiently. Many brands divide budgets between prospecting campaigns that reach new audiences and retargeting campaigns that re-engage interested shoppers.
Prospecting builds new audience pools and expands reach. Retargeting captures demand from shoppers who already interacted with your products.
Budget allocation may change as campaigns mature. Early campaigns often focus more on prospecting. As audiences grow, retargeting campaigns can capture more conversions.
Creative Best Practices for Amazon DSP Campaigns
Creative plays a major role in Amazon DSP performance. Even the best targeting strategy cannot succeed if the ad creative does not capture attention or communicate value clearly. Strong creative helps introduce your brand, reinforce product benefits, and guide shoppers toward the next step in their journey.
Amazon DSP supports several creative formats, including display ads, video ads, and Streaming TV ads. Each format works best at different stages of the funnel. Awareness campaigns often rely on video or Streaming TV, while display ads are commonly used for remarketing and mid-funnel engagement.
When building creative for Amazon DSP campaigns, focus on clarity and relevance. Shoppers should quickly understand what the product is and why it matters to them.
Some best practices include:
- Match creative to the funnel stage. Awareness campaigns should focus on brand introduction and product value. Retargeting ads can highlight specific offers or product benefits.
- Use strong product imagery. Clear, high-quality images help shoppers recognize the product quickly. Lifestyle images can also help show how the product fits into everyday use.
- Keep messaging simple. Short headlines and clear product benefits often perform better than complex messaging.
- Align creative with product detail pages. The visuals and messaging in your ads should match what shoppers see when they land on the product page. This creates a consistent experience.
- Test multiple creative variations. Running several versions of an ad can help identify which messaging, images, or layouts perform best.
- Refresh creative regularly. Ad fatigue can reduce performance over time. Many brands update DSP creative every few weeks to maintain engagement.
Strong creative supports the rest of your Amazon DSP strategy. When ads clearly communicate value and align with the product experience, they help move shoppers more smoothly through the eCommerce funnel.
Amazon DSP Inventory Types: On-Amazon vs Off-Amazon Advertising
Amazon DSP gives brands access to a wide range of ad inventory across both Amazon-owned properties and third-party environments. Choosing the right mix is important because each type of inventory plays a different role in the customer journey. When used together, these placements help brands build awareness, drive engagement, and capture demand more effectively.
On-Amazon Advertising
On-Amazon inventory includes placements on Amazon.com, Fire TV, Twitch, and other Amazon-owned properties. These ads reach shoppers who are already within the Amazon ecosystem and often closer to making a purchase.
This type of inventory is well suited for consideration and conversion campaigns. Ads can highlight product features, pricing, and promotions while reinforcing messaging already seen on product detail pages. Because these shoppers are actively browsing or shopping, On-Amazon placements often deliver stronger direct response performance.
Off-Amazon Advertising
Off-Amazon inventory allows brands to reach shoppers outside of Amazon across websites, mobile apps, and streaming platforms. These placements are key for prospecting and building awareness before a shopper begins searching.
Creative for Off-Amazon advertising often focuses on brand storytelling, product discovery, and broader value messaging. Video and Streaming TV formats are especially effective at this stage because they capture attention and introduce products in a more engaging way.
Using Off-Amazon inventory helps brands expand reach and bring new shoppers into their funnel. Trellis helps connect these insights with On-Amazon performance, giving brands a clearer view of how each placement supports overall growth and Market Share.
Measuring Performance: KPIs That Matter in 2026
Measuring Amazon DSP performance requires a broader view than traditional pay-per-click advertising. Because DSP supports awareness and mid-funnel engagement, success cannot be evaluated using return on ad spend alone. Brands that rely only on ROAS often underestimate the real impact of DSP campaigns.
A better approach is to track multiple performance signals across the funnel. These metrics help advertisers understand how campaigns influence discovery, engagement, and eventual purchases.
Common Amazon DSP KPIs include:
- Impressions and reach: These metrics show how widely your ads are being delivered and how many shoppers are exposed to your brand.
- Viewable impressions: This measures whether an ad had the opportunity to be seen. High viewability helps ensure ad spend is reaching real audiences.
- Click-Through Rate: CTR indicates whether shoppers find the creative relevant enough to click and learn more.
- Detail page views: This metric shows whether DSP campaigns are successfully driving shoppers to product pages.
- New-to-brand sales: This measures how many purchases came from shoppers who had not previously bought from your brand. It is an important signal for growth.
- Return on ad spend: This remains an important conversion metric, especially for retargeting campaigns.
Many brands also use Amazon Marketing Cloud to analyze deeper performance trends. AMC can help advertisers understand path-to-purchase behavior, ad frequency impact, and how DSP supports other ad formats.
When these insights are combined, advertisers gain a clearer picture of how DSP contributes to overall eCommerce growth.
How to Scale Amazon DSP Without Wasting Budget
Scaling Amazon DSP campaigns requires more than increasing budget. Successful scaling happens when brands expand reach while maintaining strong campaign structure and performance signals. One common approach is to gradually test new audiences, ad formats, and placements while monitoring engagement and conversion metrics.
Brands often scale by introducing additional prospecting audiences, expanding into video or Streaming TV inventory, and increasing investment in high-performing remarketing segments. Creative testing also supports scaling because refreshed messaging helps maintain engagement. As campaigns grow, it becomes important to monitor frequency, audience overlap, and conversion rates. Controlled expansion helps brands grow Market Share while protecting advertising efficiency.
Read more: DSP Audiences for Retail: Views, Purchases, and In-Market
Common Amazon DSP Mistakes to Avoid
Amazon DSP can be a powerful growth tool when campaigns are structured correctly. Many advertisers struggle with performance because they apply paid search tactics to a programmatic platform. DSP requires a broader view of audience targeting, funnel strategy, and measurement.
Avoiding common mistakes helps campaigns scale more efficiently and protects advertising budgets as competition increases in 2026.
Common Amazon DSP mistakes include:
- Treating DSP like Sponsored Products keyword advertising
- Optimizing every campaign only for ROAS
- Running prospecting and retargeting audiences in the same campaigns
- Ignoring audience exclusions for recent purchasers
- Allowing audience overlap across multiple campaigns
- Setting frequency caps too high or not using them at all
- Scaling budgets before validating audience performance
- Using the same creative for long periods without refreshing it
- Launching campaigns without clear funnel objectives
- Failing to measure new-to-brand performance and incrementality
Read more: Using AMC Cohorts to Calibrate Frequency Caps in Amazon DSP
Amazon DSP vs Sponsored Ads: When to Use Each
Amazon DSP and Sponsored Ads serve different roles in an eCommerce advertising strategy. Both are valuable tools, but they work best at different stages of the shopper journey. Understanding how they differ helps brands allocate budget more effectively and build a stronger full-funnel strategy.
Sponsored Ads, including Sponsored Products, Sponsored Brands, and Sponsored Display, focus on capturing demand from shoppers who are already searching on Amazon. These ads are keyword or product targeted and operate on a cost-per-click model. They are often used to drive conversions from shoppers who already have purchase intent.
Amazon DSP works differently. DSP targets audiences based on behavior and shopping signals rather than search queries. It uses a cost-per-thousand impressions model and allows brands to reach shoppers both on and off Amazon. This makes it effective for prospecting new audiences and retargeting shoppers earlier in their buying journey.
In many strategies, the two platforms work together. DSP builds awareness and introduces products to new audiences. Sponsored Ads capture that demand when shoppers later search on Amazon.
Here is a simple comparison:
| Feature | Amazon DSP | Sponsored Ads |
| Targeting method | Audience targeting | Keyword and product targeting |
| Pricing model | Cost-per-thousand impressions (CPM) | Cost-per-click (CPC) |
| Funnel role | Awareness, consideration, remarketing | Lower-funnel conversions |
| Placements | Amazon properties and third-party websites | Primarily within Amazon search/product pages |
| Best use case | Expanding reach and retargeting shoppers | Capturing high-intent search traffic |
Is AI-Driven Optimization the Future of Amazon DSP?
Amazon DSP campaigns involve many moving parts. Advertisers must manage audiences, bids, budgets, frequency caps, creative variations, and multiple campaign goals at the same time. As DSP strategies become more advanced, manual optimization becomes harder to maintain at scale.
This is where AI-driven optimization plays an important role. Artificial intelligence can analyze large amounts of advertising and shopper data much faster than manual processes. It can identify patterns in audience performance, adjust bids based on real engagement signals, and help allocate budget toward the campaigns that are driving the strongest results.
AI also helps advertisers respond quickly to changes in performance. Audience behavior shifts over time, and campaigns that worked last month may require adjustments today. Automated systems can detect these changes early and support faster decision making.
At the same time, strategy still requires human insight. Advertisers must define campaign goals, creative direction, and broader growth priorities. This combination of AI Precision + Human Intuition helps brands manage complex DSP campaigns more effectively.
Platforms like Trellis help bring these capabilities together. By combining advertising automation, pricing insights, and performance analytics, Trellis helps brands align the full eCommerce funnel and make smarter advertising decisions as they scale.
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In Summary
Amazon DSP has become an essential tool for brands that want to grow Market Share and reach shoppers beyond traditional keyword advertising. By combining audience targeting, programmatic bidding, and full-funnel campaign strategies, DSP allows advertisers to influence shoppers earlier in their buying journey and re-engage them throughout the path to purchase.
Successful Amazon DSP campaigns require strong audience segmentation, clear bidding strategies, effective creative, and consistent performance measurement. When these elements work together, brands can expand reach, improve campaign efficiency, and scale advertising investment with greater confidence.
As competition continues to increase across Amazon and other marketplaces, advertisers that combine data-driven strategy with intelligent automation will be better positioned to grow sustainably.
Ready to Grow Your Amazon DSP Strategy?
If you want to scale your advertising with more control, better data, and stronger results, Trellis can help you connect targeting, bidding, and full-funnel performance into one strategy.
Book a demo to see how Trellis can help you grow profitably.
