Recently, some sellers noticed a new feature being tested in the Amazon Ads backend—Omnichannel Ad Campaigns.

From the currently tested features, this change deserves seller attention because it differs from the advertising logic sellers are used to.

In the past, advertising was largely decided by sellers themselves: Should they run Sponsored Products or Sponsored Brands? Which keywords should get priority? Should display ads be enabled? How much budget should be allocated? How should the budget be split across different campaigns?

Then they would adjust manually based on ad reports.

The omnichannel campaign approach, however, further hands these tasks to the system. Sellers provide the product, budget, creative assets, and schedule; what ads to run, how to allocate budgets, which audiences to reach, and how to optimize later are increasingly handled by AI.

1. One campaign covering multiple ad scenarios

According to the current test description, the core logic of omnichannel campaigns can be understood simply as: one campaign automatically covers search, display, video, and other ad scenarios. Sellers no longer need to split budgets into separate campaigns strictly by ad type.

The system automatically selects the appropriate ad format based on the consumer's shopping stage.

This is consistent with the full-funnel advertising approach Amazon has emphasized in recent years. Amazon has been pushing ads from capturing single-demand moments to covering the entire purchase journey. It has also stated clearly that user purchase paths are increasingly fragmented, so brands need to reach consumers at the awareness, consideration, and purchase stages.

The core of omnichannel campaigns is that sellers only need to provide a few basic elements: product + budget + creative assets + schedule.

The rest is automatically decided by system AI based on data.

What ad formats to run

How to allocate budget across channels

Which audiences to find

How to reach consumers at different stages

Continuously adjust delivery based on ad performance

In other words, sellers no longer only tell Amazon: I want to bid on this keyword. Instead, they tell the system: This is my product, this is my budget, these are my creative assets, and I want more consumer reach during this period.

Then the system decides the specific delivery. This is also the most noteworthy part of this feature.

But that does not mean sellers no longer need to manage anything.

On the contrary, AI taking over ad delivery does not mean sellers can ignore products, because the premise for the system to make automatic ad decisions is that you provide sufficiently complete and high-quality information and creative assets.

This is very obvious in current testing. Omnichannel campaigns cover more scenarios, which also means higher requirements for creative assets.

In the past, a Sponsored Products ad mainly relied on product information in search results. Now, if search, display, video, and other scenarios are involved at the same time, ad creatives must be able to fit more placements.

If images, videos, and other assets are incomplete, the ad scenarios that can be used will also be limited. Fewer or incomplete assets mean fewer placements can be covered.

Therefore, sellers preparing to try omnichannel ads need to have creatives ready.

As advertising systems increasingly rely on AI for creative generation, content understanding, and ad optimization, the copy sellers leave on Amazon may become an important source for AI to understand the brand and products.

So sellers' listing information—including title, product highlights, bullet points, product description, and other information—needs to tell the system as clearly as possible: What product are you selling? What need does it solve? Who is it suitable for? What are the core selling points?

At the same time, listing information needs to remain consistent. If a product title follows one logic, A+ content follows another, the brand store uses a completely different expression, and images and videos tell yet another story, AI may face inconsistent information when generating ad content.

Therefore, a change sellers need to pay attention to next is: Listing, A+, brand store, brand story, images, and videos should no longer be treated as independent content modules. Instead, they should gradually form a unified message, so AI can clearly understand: who I am, what I sell, what features my product has, and who it is suitable for.

2. Omnichannel campaign threshold

For many sellers, omnichannel campaigns also have a very practical threshold. According to Xiaojiang, the minimum daily budget for this feature is $200. The budget can be adjusted upward, but cannot be lower than this threshold.

Therefore, this is not a feature for all sellers to "try at low cost." In addition, the current test feature requires sellers to complete brand registry and supports adding multiple ASINs at once; Amazon officially recommends selecting three products at a time.

This also means it is more suited to sellers with a certain ad budget, brand foundation, and multiple products that can be promoted at the same time.

The following types of sellers are suggested to try it:

1. Products with sufficient profit margin

Because the minimum daily budget reaches $200, sellers need to be able to afford a certain level of ad investment.

2. Brand sellers with complete creative assets

Complete images, videos, A+, brand store, and other content make it easier to cover different ad scenarios.

3. Brands with multiple ASINs

The feature currently supports adding multiple ASINs in batches, and Amazon officially recommends selecting three products at a time. For brands that have already formed a product matrix, it is more suitable for testing this multi-channel, cross-product delivery method.

4. Sellers who want to reduce manual ad management costs

If a team spends a lot of time adjusting ads every day, this AI-automated delivery model is worth trying.

Omnichannel campaigns are still in the testing stage. The specific rollout scope, feature rules, and final performance may continue to be adjusted.

(Source: Dong Haiwen)

Source: Cifnews
Original link: https://www.cifnews.com/article/188917