Amazon DSP for New to Brand Growth Backed by SellerApp 2026 Benchmark Data

SellerApp's 2026 benchmark report sets Amazon DSP New to Brand purchase rate at 36.5%, meaning over a third of DSP-attributed sales come from first-time brand buyers. Brands running DSP without segmenting NTB from repeat purchasers are likely misreading ROAS and over-crediting retention campaigns for acquisition results.
As Amazon DSP adoption grows, brands conflating ROAS with acquisition efficiency will overspend on retention while underfunding top-funnel growth — compressing new customer velocity and long-term brand equity on the platform.
A campaign with strong ROAS but low NTB rate is just retargeting your existing customers at DSP prices — an expensive mistake. Pull the NTB purchase rate report inside Amazon DSP console and flag any campaign below 30% NTB as a retention campaign masquerading as acquisition spend.
Operational Impact
This story may require teams to revisit workflows, monitoring, or platform assumptions.
Bottom Line
36.5% DSP NTB benchmark means most brands are paying to re-convert existing customers.
Source Lens
Industry Context
Useful background context, but lower-priority than direct platform, community, or operator intelligence.
Impact Level
medium
36.5% DSP NTB benchmark means most brands are paying to re-convert existing customers.
Key Stat / Trigger
36.5% New to Brand purchase rate for Amazon DSP campaigns (SellerApp 2026)
Focus on the operational implication, not just the headline.
Full Coverage
Amazon DSP for New to Brand Growth is about more than driving another purchase. New to Brand, or NTB, measures purchases from customers who have not bought from your brand on Amazon within the previous 12 months, making it one of the clearest signals of whether your DSP campaigns are actually expanding your customer base.
A campaign can deliver strong ROAS while doing little for acquisition if most of its conversions come from shoppers who already know your brand. That is why NTB data deserves to be evaluated alongside sales and ROAS.
It can show how effectively your campaigns are bringing in first time customers, which audiences are contributing to those purchases, and whether your targeting is reaching shoppers with genuine acquisition potential. SellerApp’s 2026 benchmark report puts the Amazon DSP new to brand purchase rate at 36.
5%, showing that NTB purchases represent a meaningful share of DSP attributed sales. But the number alone is not the insight. This article breaks down what NTB data reveals about audience performance, attribution paths, campaign efficiency, and where your next growth opportunity may sit.
You’ll also see benchmark data from SellerApp’s 2026 report to put your NTB performance into context, rather than evaluating it in isolation. If you’re struggling to tell whether your DSP budget is actually bringing in new customers, keep reading.
We’ll show you how to read your NTB data, identify what is driving acquisition, and turn those insights into smarter targeting and budget decisions.
Quick Guide: What New to Brand Means on AmazonHow Amazon Tracks and Attributes NTB PurchasesWhy NTB Is a Strong DSP Growth MetricHow Amazon DSP Drives and Measures New to Brand GrowthHow to Optimize Amazon DSP Campaigns for NTB GrowthUse Attribution Insights to Reallocate BudgetAmazon DSP New to Brand Benchmarks for 2026Structuring a Full Funnel Campaign for New to Brand GrowthKey Takeaway Is Your DSP Program Actually Driving New CustomersFAQ What New to Brand Means on Amazon Before optimizing for new customers, advertisers need to understand what Amazon actually counts as new to brand and how that classification affects campaign reporting.
NTB is not simply a label attached to any shopper who has never interacted with an ad. The metric is tied to purchase history and attribution, which makes the definition important when comparing campaigns. Understanding that foundation also makes the later optimization decisions much easier to interpret.
New to Brand Means on Amazon The 12 Month NTB Definition Amazon classifies a purchase as new to brand when the shopper has not purchased from the brand during the previous twelve months and then completes an eligible purchase.
The lookback period matters because a recent customer does not become new to brand simply because they interact with a different campaign. Sponsored Ads and Amazon DSP can both drive NTB purchases, but they play different roles.
Sponsored Ads often capture shoppers already showing purchase intent, while DSP can introduce the brand to relevant audiences earlier in the journey, creating more opportunities for new customer acquisition. A shopper can see or click an ad and purchase without qualifying as NTB.
Amazon determines NTB status from the shopper’s purchase history, so existing customers can still generate attributed sales without contributing to customer acquisition. This is why advertisers should separate total purchases from NTB purchases when evaluating campaign performance.
Consider a skincare brand that generates 100 DSP attributed purchases from a campaign. If only 25 come from shoppers who had not purchased the brand in the previous twelve months, the campaign is doing more to convert existing demand than expand the customer base. Another campaign could generate fewer total purchases but bring in 40 new customers.
If acquisition is the goal, that campaign deserves a closer look even with lower overall ROAS. Overveiw How Amazon Tracks and Attributes NTB Purchases NTB reporting becomes useful when you understand what sits behind the number.
Amazon distinguishes between click attributed and view attributed conversions, so DSP can contribute to a purchase even when the shopper does not click the ad before converting.
SellerApp’s DSP dashboard brings these performance signals together with campaign and audience insights, making it easier to see which audiences are contributing to NTB purchases and where performance is changing.
For deeper attribution analysis, Amazon Marketing Cloud (AMC) can connect aggregated advertising signals across campaigns and channels to reveal the paths that contribute to new customer purchases. Advertisers should also consider promoted product and brand halo outcomes.
A campaign can influence demand beyond the exact product shown in the ad, so evaluating only the promoted product can leave part of the customer response out of the analysis. For example, a brand may advertise its premium coffee machine through DSP
In Amazon DSP reporting, filter by 'New to Brand Purchases' and 'NTB Purchase Rate' -- if any prospecting campaign shows below 30% NTB, reallocate budget toward higher-funnel audience segments like In-Market or Lifestyle targeting.
Within 30 days, build a separate DSP campaign structure that isolates NTB-focused creatives from retargeting, so you can compare NTB ROAS independently and stop blending acquisition and retention metrics.
Original Source
This briefing is based on reporting from SellerApp Blog. Use the original post for full primary-source context.
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