Amazon Advertising Strategy: Target Users Who Clicked Ads But Didn't Buy
About this video
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Learn how to create powerful Amazon Marketing Cloud audiences from users who clicked your sponsored ads but didn't purchase. This advanced targeting strategy helps you increase bids on warm leads who already showed interest in your products through Amazon advertising.
In this video, I walk you through the complete process of setting up this audience in Amazon Marketing Cloud and applying it to your campaigns. This audience captures people who interacted with your sponsored ads but didn't convert, making them perfect candidates for higher bid adjustments since they've already shown purchase intent.
You'll discover how to navigate to Amazon Marketing Cloud through measurement and reporting, select the correct audience template for users who clicked sponsor ads but didn't purchase, and configure the settings for optimal performance. I explain why selecting auto adjust date range creates a rolling 30-day window that keeps your audience fresh and relevant.
The tutorial covers how to apply this audience to sponsored products, sponsored brands, sponsored display campaigns, and even Amazon DSP campaigns. You'll learn about bid adjustments and how they stack on top of existing placement adjustments, which can significantly impact your campaign costs.
This Amazon PPC strategy is particularly valuable when you're starting out or facing fierce competition where you need sponsored ads to reach your target audience. By bidding higher on people who already clicked your ads, you can win more auctions and convert warm leads who are genuinely interested in your products.
I also cover important considerations like minimum audience size requirements of 2,000 users and processing times of 10-15 minutes for audience availability. The step-by-step walkthrough shows exactly how to add campaign IDs if you want to focus on specific sponsored products campaigns.
Contents: 0:00 Introduction to clicked ads audience strategy 0:33 Navigating to Amazon Marketing Cloud 1:13 Selecting audience template and configuration 1:57 Setting up auto adjust and date ranges 2:45 Adding campaign IDs and creating audience 3:11 Applying audience to sponsored products campaigns 3:46 Understanding bid adjustment stacking effects 4:11 Benefits of targeting warm leads strategy
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Transcript
Frequently asked questions
How do you create an AMC audience of shoppers who clicked your sponsored ads but did not purchase?
Inside Amazon Marketing Cloud, navigate to Measurement and Reporting, then to the Audiences tab, and scroll to the use case template called "Audience that clicked sponsored ads but did not purchase." Select your marketplace, choose rule-based audience, give it a descriptive name, and enable auto-adjust date range so the audience becomes a rolling 30-day window rather than a fixed historical snapshot. You can optionally add specific campaign IDs to limit the audience to clicks from particular Sponsored Products campaigns. Once created, the audience takes 10 to 15 minutes to become available and requires a minimum of 2,000 users to be usable.
Why is the auto-adjust date range setting important when creating AMC audiences?
With auto-adjust enabled, the audience refreshes continuously, always capturing the most recent 30 days of non-converting clickers. Without it, the audience is fixed to the period from the creation date backward, meaning it stops updating the next day and will shrink over time as its data ages out. A rolling window keeps the audience populated with currently warm leads rather than people who clicked months ago and may have already bought elsewhere or lost interest.
How do bid adjustment multipliers stack when AMC audience boosts and placement adjustments are both active?
The AMC audience bid multiplier is applied on top of any existing placement adjustments, not instead of them. For example, if you have a 100% top-of-search placement adjustment and then add a 100% AMC audience adjustment, a shopper from that audience seeing your ad in the top-of-search position could trigger a combined bid that is up to 200% above your base. This stacking effect can significantly increase costs for the highest placements, so both multipliers need to be considered together when deciding on adjustment percentages.
