

Amazon has rebuilt one of its most important automated display-ad formats.
On September 30, 2026, Amazon announced a major redesign of Responsive eCommerce Creative (REC), adding in-banner video, multi-image carousels, conversational prompts powered by Alexa for Shopping, richer layouts, stronger brand controls and expanded device experiences across Amazon and third-party publishers. Amazon Ads
The objective is straightforward:
Instead of requiring advertisers to manually build dozens of display creatives for different screen sizes, websites, devices and audience contexts, Amazon can increasingly assemble and optimize the appropriate creative automatically.
One product campaign can potentially generate different experiences for:
Desktop
Mobile
Publisher sites
Fire Tablet
Fire TV
Alexa+
and other eligible placements.
At Adorbix, we see the bigger shift as:
PRODUCT DATA → AI CREATIVE → CONTEXTUAL FORMAT → CUSTOMER INTERACTION → CONVERSION → PROFIT
Amazon is not simply making display ads prettier.
It is turning display creative into a dynamic, AI-optimized shopping experience.
Responsive eCommerce Creative is Amazon's automated display-ad format for brands selling products on Amazon.
The advertiser supplies products and approved creative inputs.
Amazon can then dynamically build ads using information from the product listing, including elements such as:
Amazon automatically adapts those elements into supported placements and sizes across Amazon properties and third-party publishers. Amazon Ads
The idea is:
rather than manually designing every banner size.
The 2026 redesign makes that system much richer.
Amazon's new Responsive eCommerce Creative experience introduces three major areas of improvement.
The first is new ad formats, including:
In-banner video
Multi-image carousels
Alexa for Shopping conversational prompts
and richer Alexa+ and Fire Tablet experiences.
The second is brand identity controls, letting advertisers provide logos, brand colors, imagery and copy guardrails.
The third is a new generation of rich-media layouts designed to adapt more naturally to each placement instead of forcing the same basic product ad everywhere. Amazon Ads
Together, these changes turn REC from a responsive banner generator into something closer to an automated creative system.
Amazon's new REC allows video to appear directly inside display-banner placements on supported third-party publisher sites.
That means a display impression no longer has to rely entirely on:
It can show motion and product storytelling directly inside the banner.
Amazon says advertisers can use video in several ways:
For brands selling products that benefit from demonstrations, this can be significantly more powerful than a standard display image.
Think:
Kitchen products
Beauty
Fitness
Tools
Consumer electronics
Home products
A five- or ten-second demonstration can explain something a static photograph cannot.
Sponsored Products generally reaches shoppers when they are already searching.
Video display can reach consumers earlier.
Imagine someone reading an article on a premium publisher site.
A static ad shows your blender.
They may ignore it.
A video showing:
ingredients → blending → finished smoothie
communicates the value much faster.
The shopper can understand:
and:
without first visiting the PDP.
That turns display advertising from simple product exposure into product education.
At Adorbix, we'd especially test in-banner video on products where:
Amazon has also introduced multi-image carousel ads.
These can display between three and six products from a brand in one swipeable unit on supported third-party publisher sites. Amazon Ads
That changes the role of the ad.
A traditional display banner may show:
A carousel can show:
That is useful for brands with:
Imagine a skincare brand.
Instead of advertising one cleanser, the carousel could show:
Cleanser
Serum
Moisturizer
Sunscreen
Now the ad communicates the broader brand ecosystem.
This is where the format becomes commercially interesting.
Suppose a customer is interested in one product.
The carousel can expose them to several adjacent products before they even reach Amazon.
That can increase:
product discovery
and potentially:
basket expansion.
For Adorbix clients, we would organize carousel creative strategically rather than selecting random products.
A useful grouping might be:
For example:
Basic coffee maker.
Premium coffee maker.
Milk frother.
Coffee grinder.
The ad then behaves more like a mini storefront.
Perhaps the most futuristic REC update is interactive prompts powered by Alexa for Shopping.
Amazon says these prompts are automatically generated using first-party information from sources such as:
A shopper may see a question or conversational prompt inside a display ad.
When they engage, they can enter an Alexa for Shopping conversation where they can:
or:
The ad is no longer simply:
View product.
It can become:
Ask about product.
That is a major change in ecommerce advertising.
Many customers hesitate because they still have one unanswered question.
For example:
Does this fit my device?
Is this suitable for sensitive skin?
What's included?
Which size should I buy?
Does this work outdoors?
Normally, the customer must click the ad, open the listing and search for the answer.
Conversational ads can shorten that process.
The future funnel becomes:
AD
↓
QUESTION
↓
ANSWER
↓
PRODUCT
↓
PURCHASE
That potentially reduces friction.
But it also means product information quality becomes even more important.
Alexa for Shopping cannot create accurate product answers from poor source data.
If your listing contains weak or incomplete information, conversational advertising can magnify those weaknesses.
This makes:
titles,
attributes,
bullet points,
A+ Content,
Brand Store content
and:
product specifications
part of the advertising infrastructure.
At Adorbix, we would approach Alexa prompts through:
The listing shouldn't only make sense to humans.
It should contain structured, accurate information that Amazon's AI can interpret confidently.
This is an important availability distinction.
Responsive eCommerce Creative itself is available across many markets.
However, Amazon says Alexa for Shopping prompts inside REC are currently available only in the United States. Amazon Ads
Brand identity controls are also currently U.S.-only.
Meanwhile, richer REC layouts and previews are available much more broadly, and video/carousel availability spans many—but not all—REC markets. Amazon Ads
So international advertisers should not assume every new capability is available in every locale.
Check the specific marketplace before building your creative strategy around a feature.
Amazon is also expanding responsive creative onto devices including:
Alexa+ smart displays
and:
Fire Tablet.
Amazon says ads can adapt natively to these environments with more immersive, full-bleed creative treatments. Amazon Ads
This matters because advertising design requirements change dramatically across screens.
A banner viewed on a laptop is different from an ad occupying most of an Echo Show display.
Responsive creative aims to remove some of that manual adaptation.
Instead of designing each environment separately, Amazon dynamically chooses how to present the available brand assets.
Traditional responsive display advertising often looks responsive only in size.
Same product.
Same image.
Same general layout.
Just resized.
Amazon's redesigned REC goes further.
Amazon says rich-media layouts can combine:
Lifestyle imagery
Video
Brand logos
Dynamic copy
Commerce information
and adapt those elements to the placement itself. Amazon Ads
A creative shown on Fire TV can therefore feel different from one shown on a news site.
That's important because:
The objective isn't simply resizing an advertisement.
It's producing the most appropriate version of the ad for the environment.
AI creative creates a real brand-governance problem.
The more automatically generated variations a system creates, the harder it becomes to ensure every ad stays on-brand.
Amazon's new Brand Identity Controls address this.
Advertisers can upload:
so Responsive eCommerce Creative can generate and optimize variations within those boundaries. Amazon Ads
This is an important development.
AI should not mean:
Random creative at scale.
It should mean:
Brand-controlled creative at scale.
At Adorbix, we'd still manually audit important campaigns, but these controls can significantly reduce repetitive review work.
Automation only works when advertisers can see what is being generated.
Amazon has added Preview and Advanced Preview filters that let advertisers inspect creative variations by factors including:
This is particularly useful for larger catalogs.
Imagine 20 products generating dozens of possible display combinations.
Without filtering, QA becomes nearly impossible.
The new preview tools give brands a more practical way to inspect the outputs before or during campaign operation.
Amazon's current creative specifications say REC can contain up to 20 ASINs in a single creative setup.
Amazon can rotate products and automatically skip items that are out of stock. Amazon Ads
That's useful for:
and:
But Adorbix would not necessarily recommend adding 20 unrelated ASINs just because Amazon allows it.
Better practice is usually to group products with a shared customer need.
For example:
Running accessories
rather than:
Running shoes + blender + office lamp + phone case.
Automation works better when product strategy remains coherent.
One of REC's strongest advantages is that it pulls live ecommerce information from the Amazon product listing.
That can include:
Price
Deal badges
Coupons
Ratings
and:
Prime eligibility. Amazon Ads
That reduces the risk of manually designed ads becoming outdated.
If a deal changes, the creative can reflect current commerce information rather than relying on static text built weeks earlier.
During events such as Prime Day or Black Friday, that can be particularly useful.
REC doesn't simply create multiple variations.
Amazon uses machine learning to continuously test combinations of:
and select different combinations based on factors including:
audience
campaign objective
product
and:
placement. Amazon Ads
That creates a form of automated creative testing at scale.
Instead of the marketing team manually running:
Amazon may test dozens of combinations dynamically.
Amazon says Responsive eCommerce Creative ads using AI optimization saw, on average:
and:
These numbers come from Amazon internal data and should be interpreted accordingly.
They do not mean every advertiser enabling AI optimization will automatically receive:
14% more clicks
or:
7.2% higher ROAS.
They indicate that Amazon has observed aggregate performance benefits from the system.
For Adorbix, that's enough reason to test it.
Not enough reason to blindly enable it everywhere.
A visually engaging carousel may increase clicks.
A video may attract attention.
Alexa prompts may create more interactions.
None of those automatically mean the campaign is profitable.
Imagine:
But:
Perhaps the creative is attracting curious users rather than qualified buyers.
The correct analysis should follow:
Impression
↓
Engagement
↓
Detail-page visit
↓
Conversion
↓
Contribution
At Adorbix, we'd never optimize REC solely around CTR.
The creative must ultimately improve business economics.
Video isn't automatically superior to static imagery.
A simple product may communicate perfectly through one high-quality lifestyle image.
Video becomes most valuable when movement explains the product.
Strong examples include:
Before/after demonstration
Assembly
Feature demonstration
Product use
Texture/application
Transformation
Scale or size
If movement adds no useful information, video may simply create distraction.
The question isn't:
Can we use video?
It's:
Does motion improve customer understanding?
The same principle applies to multi-image carousels.
Do not fill a carousel simply because six product slots are available.
Use deliberate sequencing.
For example:
Slide 1: Hero product.
Slide 2: Different use case.
Slide 3: Complementary product.
Slide 4: Premium version.
Slide 5: Alternative size.
Now the carousel helps the customer explore.
At Adorbix, we'd treat carousel design more like:
than:
If Alexa prompts become a major ad interaction, brands should review the questions shoppers already ask.
Look at:
Amazon Q&A
Reviews
Customer-service tickets
Returns
and:
Search terms.
Those sources reveal common customer uncertainty.
If shoppers repeatedly ask:
Does this fit Model X?
then compatibility information should be crystal clear.
If they ask:
Is this machine washable?
that information should be available in the listing.
Better source data creates better conversational advertising.
Amazon advertising teams have historically treated:
and:
as related but separate functions.
Responsive eCommerce Creative brings them much closer together.
The campaign engine can automatically:
generate creative,
adapt creative,
test creative,
and optimize creative
based on performance signals.
That means account strategy increasingly becomes:
inside one optimization loop.
At Adorbix, our PPC team should therefore care about creative performance just as much as bids and targeting.
Responsive eCommerce Creative can run across Amazon and third-party publisher sites. Amazon Ads
Off-Amazon audiences may have lower purchase intent than shoppers actively searching Amazon.
Creative therefore needs to do more educational work.
A shopper browsing a news site may not know:
Rich-media REC can help bridge that gap with:
video
lifestyle imagery
ratings
commerce signals
and:
conversational assistance.
That makes REC especially relevant as Amazon Ads continues expanding deeper into the open web.
At Adorbix, we'd manage REC through five stages.
1. PRODUCT READINESS
Ensure:
2. ASSET STRATEGY
Provide:
3. AI GOVERNANCE
Set:
4. TESTING
Compare:
5. PROFITABILITY
Track:
not creative engagement in isolation.
This keeps Amazon's automation connected to actual business results.
Responsive eCommerce Creative reduces production complexity.
It does not eliminate the need for creative strategy.
Adorbix can support:
Amazon Listing Optimization: Make sure REC's source product data is accurate and persuasive.
A+ Content: Strengthen product education that can also improve AI understanding.
Creative Production: Build better lifestyle assets and video for Amazon to work with.
Brand Governance: Establish visual and messaging rules before enabling AI variation.
Amazon DSP / DVA+: Deploy REC within broader display and video strategies.
PPC & CRO: Measure whether stronger creative actually improves conversion.
Profitability: Tie creative performance to contribution rather than clicks alone.
Our goal would not be:
Generate the maximum number of ad variations.
It would be:
Give Amazon enough high-quality inputs to generate the right variation for the right customer.
Start with one proven ASIN or a tightly related product group.
Document your baseline:
CTR
CPC/CPM
conversion
ROAS
contribution margin.
Then add one new creative dimension.
For example:
Run long enough to collect useful data.
Then test:
Then consider:
where available.
Avoid changing every creative variable simultaneously.
Otherwise, you'll struggle to understand what actually improved performance.
Before scaling REC, confirm:
Automation performs best when the input quality is already strong.
Responsive eCommerce Creative is Amazon's automated display-ad format that dynamically builds ads using product information, imagery, video and commerce signals, then adapts those ads across Amazon, third-party publishers and supported Amazon devices. Amazon Ads
Amazon added richer formats including in-banner video, multi-image carousels, Alexa for Shopping prompts, new brand identity controls and richer device-specific layouts. Amazon Ads
Amazon's current specifications allow up to 20 ASINs per creative, with automatic rotation and removal of out-of-stock products. Amazon Ads
Yes. Amazon says REC videos can be uploaded, reused from existing campaigns or created using generative tools. Amazon Ads
Multi-image carousel ads can show three to six products from the brand in a swipeable advertising unit on supported third-party sites. Amazon Ads
Amazon automatically generates relevant prompts using first-party signals. When a shopper interacts with one, they can enter an Alexa for Shopping conversation to learn more, ask follow-up questions or potentially add the product to cart. Amazon Ads
No. Amazon currently lists REC prompts as U.S.-only. Amazon Ads
No. Amazon currently lists the new Brand Identity Controls as U.S.-only, while other REC features have wider availability. Amazon Ads
Amazon lists managed-service and self-service advertisers, sellers, vendors and agencies among eligible users. REC is currently for endemic advertisers—brands whose products are sold on Amazon. Amazon Ads
Amazon says advertisers can access Responsive eCommerce Creative through the Ads Console and API. Amazon Ads
Amazon reports that REC ads using AI optimization produced 14% higher CTR and 7.2% higher ROAS on average in its internal data. Individual results will vary. Amazon Ads
Yes. Adorbix can connect Responsive eCommerce Creative with Amazon DSP/DVA+, listing optimization, A+ Content, video creative, PPC, CRO and profitability measurement so brands use Amazon's AI creative engine without sacrificing brand or financial control.
Amazon's redesigned Responsive eCommerce Creative is much more than a responsive banner format.
It can now combine:
into context-aware ads across Amazon and supported third-party environments. Amazon Ads
New brand controls give advertisers more ability to govern how AI uses logos, colors, approved imagery and messaging.
Rich-media layouts adapt creative to different screens instead of simply resizing one standard banner.
Amazon's internal performance data suggests AI optimization can improve CTR and ROAS on average, although results are not guaranteed. Amazon Ads
For advertisers, the real opportunity is not merely creating more ads.
It is creating:
while keeping enough human oversight to protect the brand.
A traditional display ad does one thing:
Show the message.
Amazon's new Responsive eCommerce Creative can increasingly:
and:
That is a major change.
The banner itself is becoming a miniature shopping environment.
At Adorbix, we believe the brands that benefit most will not simply enable every AI feature and hope Amazon finds the answer.
They will create strong foundations first:
Accurate listings.
Strong product imagery.
Useful video.
Clear brand rules.
Good inventory.
Profitable unit economics.
Then Amazon's AI can do what it does best:
while Adorbix focuses on what the brand must still decide:
Because Amazon is making it much easier to generate thousands of creative combinations.