Your Prime Day AI Power Stack: How Top Sellers Are Using AI to Grow

June 14, 2026 Author: Andrew Maff

Most Amazon sellers are preparing for Prime Day the same way they did five years ago.

They're planning discounts, increasing budgets, refreshing listings, and hoping the surge of Prime Day traffic creates a spike in revenue. The assumption is simple: more traffic equals more sales.

The problem is that Prime Day no longer works that way.

That was one of the biggest lessons from a recent BlueTuskr webinar featuring experts from Intellivy, BidX, and Euka. While the conversation centered around AI tools, the real takeaway was something much more important.

Prime Day is no longer a traffic problem. It's a decision-making problem.

The brands seeing the biggest gains are not using AI to automate more work. They're using it to make better decisions across conversion, advertising, and demand generation before Prime Day ever begins.

Prime Day Is Won Before Prime Day Starts

One of the first points Andrew Maff made during the webinar was that Prime Day shoppers begin making purchasing decisions long before the event officially starts. As Amazon begins promoting the event, consumers start researching products, comparing options, and mentally building shopping lists weeks in advance.

This means by the time Prime Day arrives, many buyers already know what they're going to purchase.

This changes how sellers should think about preparation. Prime Day is not simply a 48-hour sales event. It's the culmination of weeks of consumer research and intent-building. Sellers who wait until the final days to optimize listings or launch campaigns are often trying to influence decisions that have already been made. The brands that perform best are the ones that begin shaping those decisions before Prime Day traffic arrives.

The Deal Badge Is Not a Strategy

Many sellers still view Prime Day discounts as the primary growth lever. The reality is that discounts amplify what already exists. If a listing is persuasive, the deal badge can increase conversion rates. If the listing is weak, the badge simply drives more traffic to an offer that was already struggling to convert.

That distinction matters because it shifts the focus from promotions to fundamentals. Prime Day does not fix positioning problems, weak messaging, poor creative, or inefficient advertising. It simply exposes them faster. The brands winning Prime Day are building stronger systems before the discount ever goes live.

The Real AI Advantage Is Better Customer Understanding

Artificial intelligence is often discussed as a content creation tool.

Most conversations revolve around writing copy faster, generating images, or automating repetitive tasks. Peter-Paul Maan of Intellivy argued that this perspective misses the biggest opportunity.

The most valuable use of AI is understanding customers more effectively. Brands often believe they know why consumers buy their products, thanks to years of reviews, customer feedback, and category experience. But existing customers only tell part of the story. Understanding why someone purchased is different from understanding why thousands of others never did.

AI Advantage

Why Reviews Don't Tell the Whole Story

Reviews provide insight into what happened after a purchase. They reveal product satisfaction, product quality, and customer experience. What they don't reveal is what prevented potential buyers from converting in the first place.

This is where AI-driven consumer research becomes powerful. Rather than analyzing only existing customer feedback, sellers can uncover objections, motivations, and decision drivers before a purchase occurs. According to Peter-Paul, this allows brands to identify gaps in their messaging and discover what shoppers actually need to hear before they are willing to buy.

Conversion Is Becoming a Research Problem

Many Amazon categories have become increasingly difficult to compete in because every listing looks nearly identical. Sellers use similar keywords, make similar claims, and often structure their creative assets in nearly identical ways. As a result, shoppers are presented with what Peter-Paul described as a "sea of sameness."

This creates a new challenge. The problem is no longer simply creating a listing. The problem is creating differentiation. Consumers need a reason to stop scrolling, engage with a product, and believe it is meaningfully different from the dozens of alternatives surrounding it.

The Difference Between Features and Motivation

Most listings focus on features. They explain what a product does, what ingredients it contains, or how it works. While those details matter, they often fail to address the underlying motivation behind a purchase decision.

Consumers rarely buy products because of features alone. They buy solutions to problems, outcomes they desire, or frustrations they want removed. AI-driven research helps identify those motivations and build messaging around them. The result is a listing that speaks directly to consumer intent rather than simply describing product specifications.

Prime Day Advertising Rewards Precision, Not Budget

If listings represent the conversion layer of Prime Day, advertising represents the amplification layer. Yet one of the most common Prime Day mistakes remains surprisingly simple: increasing budgets without improving strategy.

Joseph Phillips of BidX highlighted how many sellers approach Prime Day by dramatically raising bids and budgets as traffic increases. The assumption is that greater visibility will automatically lead to higher revenue. In reality, inefficient campaigns simply spend inefficiently on a larger scale.

Why Most Prime Day Budgets Are Misallocated

Consumers do not behave the same way throughout Prime Day. Shopping activity varies by hour, product category, and event stage. Certain products may convert heavily in the morning, while others perform best later in the evening. Yet many sellers still manage budgets at a daily level rather than a behavioral level.

This is where AI and better data analysis create an advantage. Rather than asking where more budget should be added, sellers can identify when and where spending produces the highest return. The goal is not maximum spend. The goal is maximum efficiency during the highest-intent windows.

Discovery Is Moving Outside Amazon

For years, Amazon dominated the entire customer journey. Discovery, research, and purchase often happened within the same platform. That reality is changing.

As Jordyn Levine from Euka explained during the webinar, product discovery is increasingly happening on platforms like TikTok long before consumers ever visit Amazon. Social platforms are becoming the starting point of the buying journey, while Amazon is increasingly where demand is captured and converted.

The New Customer Journey

Today's customer journey is rarely linear. A consumer might discover a product through a creator's video, research the brand online, read reviews, and ultimately complete the purchase on Amazon. By the time they arrive on a product detail page, much of the persuasion process has already occurred elsewhere.

This shift creates an important opportunity for Prime Day sellers. Brands that generate awareness and education before Prime Day create demand that Amazon can later capture. Instead of competing solely for marketplace traffic, they arrive at the event with shoppers already prepared to buy.

The Best Creator Programs Don't Scale Content. They Scale Trust

One of the most valuable insights from the discussion around TikTok was that creator marketing is often misunderstood. Many brands focus on finding more creators when they should be building stronger relationships with the creators they already have.

The most successful TikTok programs are not powered by one-off partnerships. They are powered by creators who repeatedly engage with a brand, understand the product, and continue producing content over time. Trust compounds. Familiarity compounds. Performance compounds.

Why Most Brands Misunderstand Creator Marketing

The strongest creator relationships function less like advertising partnerships and more like extensions of a sales team. The creator understands the product, knows how to position it, and develops credibility with their audience through repeated exposure.

The webinar highlighted MaryRuth's as an example of this approach. Rather than constantly searching for new creators, the brand focused on activating and re-engaging existing creator relationships. The result was significant growth in content production, engagement, and revenue. The lesson is clear: sustainable creator programs are built on relationships, not volume.

The Future Prime Day Stack Is a Decision-Making System

Every speaker approached Prime Day from a different angle, but they all arrived at the same conclusion. AI is most valuable when it helps businesses make better decisions.

Intellivy uses AI to better understand customer behavior. BidX uses AI to identify advertising opportunities and inefficiencies. Euka uses AI to connect creator activity to marketplace demand. Each tool solves a different problem, but together they form a much larger system.

The sellers who outperform competitors this Prime Day will not necessarily be the ones with the largest budgets or the biggest discounts. They will be the ones making better decisions before the event begins. That is the real AI advantage, and increasingly, it is becoming one of the biggest competitive advantages available to Amazon sellers.

Watch the full webinar here

Continue Learning

If you're rethinking how Prime Day fits into your broader growth strategy, these BlueTuskr resources expand on many of the themes discussed in this webinar: