This episode dives into Perpetua, an AI-powered tool that optimizes Amazon ad campaigns. It highlights how sellers can leverage Perpetua's goal-based software to automate bid adjustments and keyword targeting, significantly reducing manual oversight and stress. The discussion emphasizes achieving maximum sales within set parameters by combining human intelligence with continuous algorithmic optimization, leading to improved ad performance and efficiency.
Key takeaways
Implement goal-based advertising to allow AI tools to autonomously optimize campaigns within your defined strategic parameters for maximizing sales.
Utilize AI-driven bid adjustment strategies that adapt based on customer behavior and campaign goals to reduce bid prices and improve ad efficiency over time.
Leverage "keyword boosts" with placement multipliers to elevate strategic keywords, pulling them out of broad ACoS targets for more granular control and higher conversion rates.
Automate the initial 48-hour ramp-down of new ad campaigns to mitigate high ACoS and free up time from constant manual monitoring.
Move from formulaic to algorithmic ad management to gain a self-learning system that continually refines ad spend based on real-time performance and customer understanding.
Consider using tools like Perpetua to transform ad campaign creation from a manual chore into an enjoyable, scalable process by delegating complex optimizations to AI.
Apply placement multipliers to specific keywords to increase their visibility and drive more targeted traffic and higher conversion rates.
Use Perpetua's initial 48-hour ramp-down feature to efficiently manage new ad campaigns, reducing upfront risk and manual oversight.
Adopt an algorithmic approach to bid management, allowing the system to learn and adapt to customer behavior, reducing bid prices and improving efficiency.
Today I interview Joseph La Selva from Perpetua, an optimization and enablement tool for Amazon advertising. Perpetua tries to combine the power of human intelligence and always-on optimization to drive the best performance in advertisement campaigns. Joseph tells us a bit about how it works, starting with a goals based software, which first will identify some strategic parameters, outline a few constraints, and then allowing the ad engine of the software you’re using to work toward maximizing your sales within the parameters within which you have set. We talk about Perpetua figuring out how to ramp down on your ad campaign spend within the first 48 hours of creating new campaigns. It takes a lot of the pressure and stress off of you because you don’t have to worry about your ad campaign. We discuss bid adjustments and what Perpetua does to adapt and how it optimizes toward your customer base. This system is really algorithmic focused rather than formulaic, which reduces your bid price over time. We talk about keyword boosts allowing you to identify the keywords that are most strategic to you so that you can pluck them out of that broad 30% A-cost bubble and allows you to apply placement multipliers for those specific keywords that you’ve added to the keyword boost. Guest intro 1:06Perpetua uses a goal oriented approach 3:43Bid adjustments 11:12One of the strongest features of Perpetua 16:19Key word boosts 21:10 Coupon code for 50% off your first two months 24:49“For the first time I get to stop worrying about the weeds of managing advertising. The idea of creating a new set of campaigns feels enjoyable, whereas with other tools it feels like work. It feels like something I have to check in on, or that when I do I see things that I have left.” 19:19https://ca.linkedin.com/in/joseph-la-selva-73a12055https://www.instagram.com/smartestseller/https://www.buyboxer.com/Send Scott an Email: scottneedham@buyboxer.com
What does this episode say about amazon & marketplaces?
Implement goal-based advertising to allow AI tools to autonomously optimize campaigns within your defined strategic parameters for maximizing sales.
What does this episode say about paid acquisition?
Utilize AI-driven bid adjustment strategies that adapt based on customer behavior and campaign goals to reduce bid prices and improve ad efficiency over time.
What does this episode say about ai & automation?
Leverage "keyword boosts" with placement multipliers to elevate strategic keywords, pulling them out of broad ACoS targets for more granular control and higher conversion rates.
What does this episode say about amazon & marketplaces?
Automate the initial 48-hour ramp-down of new ad campaigns to mitigate high ACoS and free up time from constant manual monitoring.
What does this episode say about amazon & marketplaces?
Move from formulaic to algorithmic ad management to gain a self-learning system that continually refines ad spend based on real-time performance and customer understanding.
