Intro to Rule-Based Bidding with AdTomic 🧢
Wait, G: doesn't Amazon have its rules option for ads?
Yes, Amazon allows you to increase your bids during busy hours or on specific dates.
🔶 Side Note: Using scheduled rules can significantly improve your ad performance if you understand your buyer persona and hourly data.
🔶 What else should I know about the schedule rules tool on Amazon?
Scheduled rules are integrated into your bidding strategy and placement adjustments, giving your ads an extra boost in visibility and clicks.
🔶 Cons of Amazon's Scheduled Rules: Amazon's setup doesn't support rule-based bidding at the target level, which can be limiting.
Many brands address this by assigning each keyword to a specific strategic bucket for more refined optimizations.
🔶 Tip: Use the ad console's hourly campaign report to determine when to apply your bidding rules.
Let's review AdTomic criteria to achieve better granularity and impact on our campaign performance.
Focus: Making those bids work for your profit margins.
At BTR Media, our advertising philosophy follows a rigorous process to achieve two primary goals:
🔶 Lower bids to reduce ACoS: This is usually linked to the conversion rate.
A good approach here is to lower your bid to the CPC level using the "set to CPC" option in AdTomic. This helps maintain impressions and clicks more cost-efficiently.
An interesting feature we love is the ability to analyze different date ranges to run bidding adjustments simultaneously. By setting our rules to target significant momentum periods and analyzing shorter date ranges, we can optimize more effectively.
🔶 Rule of Thumb: Understanding your buyer persona is crucial. If we know they tend to shop over the weekend, we push ads harder then and ease up during the week for precise budget allocation, especially if we expect lower conversion rates.
Adding multiple scenarios for performance or scalability optimizations on top of that puts your PPC on steroids!
What's your favorite rule-based bidding tool?
Are you familiar with the campaign hourly data yet?
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