Wasting Ad Spend on DSP/SD ROAS? Uncovering the Hidden Truths of Amazon Attribution!

Even if you're not an Amazon advertising expert, it's easy to feel good when you see high ROAS (Return on Ad Spend) figures in your Sponsored Display and DSP (Demand-Side Platform) campaign reports. But are those numbers always a reflection of your ads' true performance? Without a precise understanding of Amazon's increasingly complex Attribution rules and New-to-Brand (NTB) metrics, you might actually be wasting your ad budget. Today, we'll dive into the differences between common perceptions and the reality of Amazon ad reports, providing practical strategies to wisely manage your advertising spend.

1. Understanding Amazon's Attribution Model: The Hidden Truths of ROAS

While the ROAS figure in your reports is a crucial metric for measuring ad performance, it's important to understand Amazon's Attribution model before taking it at face value. Amazon primarily uses a 'Last-Touch Attribution' model, which assigns sales credit to the last ad a customer clicked before making a purchase. This also involves the concept of an 'Attribution Window,' which is the period after an ad interaction during which a purchase is attributed to that ad.

For example, the click-through attribution window for the following ad types is typically 14 days: Sponsored Display (now integrated into 'Display ads') Sponsored Brands Amazon DSP

This means if a customer clicks your ad and makes a purchase within 14 days, that sale is reported as attributed to the ad.

A more significant change lies in 'View-Through Attribution (VTA).' According to recently implemented policies, the VTA method for Sponsored Brands (vCPM billing), Sponsored Display (vCPM billing), and Amazon DSP campaigns within the Amazon Store has significantly changed. Previously, if a customer simply viewed an ad (without clicking) and purchased a brand product within 14 days, attribution was granted broadly. Now, a machine learning-based 'Shopping-Signal Enhanced Last-Touch Attribution' model is applied, analyzing whether the ad view actually influenced the purchase to assign attribution.

⚠️ This change aims to more accurately measure actual purchase influence, but it means VTA-driven ROAS may appear lower than in the past.

However, Off-Amazon DSP ads still use the traditional 14-day click-through/14-day view-through attribution window. Therefore, the interpretation of ROAS can vary significantly depending on the ad type and placement.

2. The Importance of New-to-Brand (NTB) Metrics: Key to Acquiring New Customers

Simply looking at total sales or ROAS makes it difficult to distinguish between repeat purchases from existing customers and purchases from new customers acquired through advertising. This is where the 'New-to-Brand (NTB)' metric plays a crucial role. NTB measures purchases made by customers who have not purchased your brand's products on Amazon within the last 12 months (365 days) and were influenced by an ad.

NTB metrics are available for Sponsored Brands, Sponsored Display (Display ads), and Amazon DSP campaigns, but not for Sponsored Products. Through NTB metrics, you can check the following: New-to-Brand Orders: The number of orders generated by new customers. New-to-Brand Sales: The total sales generated by new customers. % of Orders New-to-Brand: The percentage of total orders that are NTB orders. % of Sales New-to-Brand: The percentage of total sales that are NTB sales. New-to-Brand ROAS (DSP only): The efficiency of ad spend relative to sales generated by new customers.

NTB is the only official Amazon metric for measuring the success of customer acquisition strategies for long-term brand growth.

3. Detailed Comparison of Sponsored Display and Amazon DSP Attribution

Both ad types primarily use a 14-day last-touch attribution model, but there are important differences and recent updates in their 'view-through' methods.

Sponsored Display (Display ads): Click-through: 14-day attribution window. Sales are attributed if a customer clicks the ad and purchases within 14 days. View-through: According to recently implemented policies, the 'Shopping-Signal Enhanced Last-Touch Attribution' model is applied to Sponsored Display (vCPM billing) ads shown within the Amazon Store. This model uses machine learning to more closely evaluate the actual influence of an ad impression on a purchase, meaning the effective VTA window may be shorter and more dynamic than before.

Amazon DSP: Click-through: 14-day attribution window. View-through: On-Amazon DSP ads: Similar to Sponsored Display, the 'Shopping-Signal Enhanced Last-Touch Attribution' model is applied according to recently implemented policies. Off-Amazon DSP ads: These are not affected by the recent policy changes and continue to use the traditional 14-day click-through / 14-day view-through attribution window. This reflects the nature of DSP ads displayed across various websites and apps outside Amazon, where traditional measurement methods are still maintained.

Additionally, if a customer who clicked an ad purchases a different product from the same brand rather than the advertised product, that sale can still be attributed to the ad. This is known as the 'Brand Halo Effect.' While this can boost ROAS, it can be misleading if you're trying to assess the efficiency of a specific product's advertisement.

4. Practical Strategies for Increasing NTB Sales

Increasing NTB sales is essential for long-term brand growth. Consider the following strategies:

1. Enhance New Prospect Targeting: Sponsored Display (Display ads): Utilize 'Views Audiences' to target new prospects who have viewed competitor brands or related category products. Focus on discovering 'new' potential customers who haven't yet viewed your detail pages. Amazon DSP: Leverage more sophisticated Audience Targeting and Segmentation features to reach audiences with low brand awareness both on and off Amazon. 2. Optimize Non-Brand Keyword Strategy: When using Product Targeting for Sponsored Display, target general keywords not directly related to your brand name to drive new search traffic and aim for NTB conversions. 3. Set NTB Goals for Upper-Funnel Campaigns: For campaigns focused on Brand Awareness and Consideration (e.g., Sponsored Brands video ads, specific DSP campaigns), set NTB sales and NTB percentage as key performance indicators (KPIs), and allocate and optimize your budget accordingly. 4. Balance ROAS and NTB: To increase NTB sales, you may need a strategy that focuses on acquiring new customers, even if it means a slightly higher initial ACoS. Instead of solely pursuing a low ACoS, evaluate ad efficiency from a long-term perspective by considering NTB metrics.

5. Common Misconceptions and Truths About Amazon Ad Reports

Many sellers make the following common mistakes and misunderstandings when reviewing ad reports. Break free from 'myths' and make 'real' data-driven decisions.

1. Myth: A high ROAS always means good advertising. Reality: A high ROAS might be driven by repeat purchases from existing customers. If your NTB percentage is low, your ads are likely focusing on re-engaging customers who already know your brand rather than acquiring new ones. For long-term growth, you must check the NTB percentage alongside ROAS.

2. Myth: You should check reports daily and adjust bids immediately after starting a campaign. Reality: Amazon's data can take up to 12 hours to update, and cancellations can take up to 72 hours to reflect. Considering the 14-day attribution window, it's best to wait at least 15 days (for Sponsored Brands, Sponsored Display) or 8 days (for Sponsored Products) before optimizing weekly based on accumulated data.

⚠️ Too frequent adjustments can lead to data confusion and inefficiency.

3. Myth: The sales in ad reports represent all your total sales. Reality: Amazon ad reports only show sales directly attributed to that specific ad. In reality, advertising can boost brand awareness and positively impact organic sales. Analyzing overall performance by combining ad-attributed sales and organic sales, such as with 'Total ACoS (TACoS),' provides a more accurate picture.

6. Practical Checklist: A Guide to Smart Ad Management

Make NTB Metric Checks a Habit: When analyzing Sponsored Display and DSP campaign performance, always check NTB orders and NTB sales percentage alongside ROAS. (Reports: Available in Advertising Console - Reports) Set Optimization Cycles Based on Attribution Window: Make campaign adjustments weekly, after sufficient data has accumulated, considering the full attribution window. (e.g., for a 14-day attribution window, start optimizing with data from 15 days or later). Be Aware of Off-Amazon DSP's VTA Rules: For Off-Amazon DSP campaigns, be aware that the traditional 14-day VTA still applies, not the recently changed VTA rules, when interpreting reports. Align Ad Goals with Metrics: If your campaign goal is brand awareness, focus on NTB. If it's conversion, prioritize ACoS and conversion rate. Match your primary metrics to your campaign objectives.

🏷️ AmazonAds SponsoredDisplay DSP Attribution ROAS NTB NewToBrand AdPerformance AdOptimization SellerCentral ViewThroughAttribution AttributionWindow 2026Policy

Clicks That Convert vs. Clicks That Just Cost You

"Now that we've picked the report apart, shouldn't I put more budget behind the high-search-volume keywords?" Sellers weighing a budget increase bring this up almost without fail, and my answer usually leans cautious. The mistake I have seen most in ad consulting is betting on a keyword for its search volume alone. Do that and clicks climb while orders never follow, so the ad spend quietly leaks away. The moments when efficiency actually improved looked different: the listing had built up enough reviews and ratings first, the customer's reason to buy was unmistakable, and only then did we go after that keyword. No attribution rule, however precise, will turn clicks on an unready listing into revenue. Whatever else you do with your ROAS report, read it conversion-first, clicks second.