Amazon PPC: Should You Trust AI or Manual Optimization?

Your Amazon PPC campaigns aren’t performing as well as you’d hoped. You’re caught between the promises of AI-powered automation and the control of manual optimization, unsure which path to take. Which one is the right call for your unique business?

This is a common dilemma for Amazon sellers. With so many tools and strategies available, it’s tough to know where to focus your time and resources. In this article, we’ll break down the pros and cons of both AI and manual optimization, providing real examples and actionable insights to help you make the right decision for your Amazon business. Let’s dive in.

AI vs. Manual Amazon PPC Optimization: What’s the Difference?

Before we get into the debate, let’s define what we mean by AI and manual optimization in the context of Amazon PPC. It’s not as black and white as you might think.

AI-Powered Automation

AI-powered automation uses algorithms and machine learning to manage your PPC campaigns. The software analyzes data, adjusts bids, and makes other optimizations automatically, with minimal human intervention.

• Example: An AI tool might automatically lower bids on keywords with a high ACOS and increase bids on keywords with a low ACOS, all without you having to lift a finger.

Manual Optimization

Manual optimization, on the other hand, involves manually reviewing campaign data, identifying trends, and making adjustments to bids, keywords, and targeting. You are in the driver’s seat, making every decision.

• Example: You might manually analyze your search term reports, identify poorly performing keywords, and add them as negative keywords to prevent wasted ad spend.

The Case for AI: Efficiency and Scalability

One of the biggest selling points of AI-powered optimization is its efficiency. AI can process massive amounts of data far faster than any human, identifying patterns and making adjustments in real-time.

• Time Savings: AI can save you countless hours each week by automating routine tasks.
• Scalability: AI makes it easier to scale your campaigns without needing to hire more people.
• Example: Scott H. saw a significant TACOS reduction using AdLabs’ software. “TACOS is down significantly while sales are now happening across our entire catalog,” he says. That’s the power of smart bid optimization at work.

The Downside of AI: Lack of Control and Transparency

Despite the potential benefits, AI also has its drawbacks. The biggest concern is the lack of control and transparency. It can sometimes feel like you’re handing over the reins to a black box.

• Limited Control: You may not have the ability to override AI’s decisions or fine-tune your strategy.
• Lack of Transparency: It can be difficult to understand why the AI is making certain decisions, making it hard to troubleshoot problems.
• Risk of Over-Automation: Relying too heavily on AI can lead to neglecting important nuances and strategic considerations.

The Case for Manual Optimization: Control and Customization

Manual optimization offers complete control and customization. You can tailor your strategy to your specific goals and make adjustments based on your unique knowledge of your products and customers.

• Granular Control: You have complete control over every aspect of your campaigns.
• Strategic Alignment: You can ensure that your PPC strategy aligns with your overall business goals.
• Deeper Understanding: Manual optimization forces you to understand your data and your customers better.

The Problem with Manual: Time and Complexity

The biggest challenges with manual optimization are the time commitment and complexity involved. It takes a lot of time and effort to stay on top of your campaigns, especially as they grow.

• Time-Consuming: Manual optimization can take hours each week, especially for large or complex campaigns.
• Requires Expertise: It takes a certain level of expertise to analyze data, identify trends, and make effective adjustments.
• Risk of Human Error: Manual optimization is prone to human error, such as overlooking important data or making incorrect calculations.

The Hybrid Approach: The Best of Both Worlds

So, which is better: AI or manual optimization? The reality is, the best approach is often a hybrid one that combines the strengths of both.

How to Combine AI and Manual Optimization

A hybrid approach involves using AI to automate routine tasks and free up your time, while still retaining control over strategic decisions and fine-tuning your campaigns.

1. Use AI for Bid Management: Let AI handle the day-to-day task of adjusting bids based on performance data.
2. Manually Review Search Terms: Regularly review your search term reports to identify poorly performing keywords and add them as negative keywords. Becky at TrustPilot says that AdLabs’ search term analysis “has saved me a ton of time and has helped increase team productivity exponentially.”
3. Set Strategic Goals: Define your overall goals and ensure that your AI settings align with those goals.

A Real-World Example

Let’s say you’re launching a new product on Amazon. You could use AI to automatically adjust bids based on ACOS, while manually monitoring search term reports to identify relevant keywords to target. This hybrid approach allows you to leverage the efficiency of AI while still maintaining control over your overall strategy.

Travis Mersola uses AdLabs and loves “the software itself [which] offers an impressive level of flexibility, allowing us to clearly identify what’s working and what isn’t. It’s a powerful tool for optimization, experimentation, and scaling.”

Choosing the Right Approach for Your Business

Ultimately, the right approach depends on your specific goals, resources, and expertise. If you’re short on time and don’t have a lot of PPC experience, AI-powered automation might be a good option. If you’re willing to invest the time and effort to learn PPC, a manual approach might be more rewarding.

• Consider Your Goals: What are you trying to achieve with your PPC campaigns?
• Assess Your Resources: How much time and expertise do you have available?
• Experiment and Iterate: Try different approaches and see what works best for your business.

Whether you choose AI, manual, or a hybrid approach, remember that the key to success is continuous monitoring, analysis, and optimization.

The debate between AI and manual optimization in Amazon PPC isn’t about choosing one over the other, but about finding the right balance for your business. By understanding the strengths and weaknesses of each approach, you can create a strategy that maximizes your results and helps you achieve your goals. Find out how AdLabs can help you take control of your Amazon PPC campaigns today.

This article is based on Episode 11 of That Amazon Ads Podcast. Subscribe for weekly Amazon PPC strategies.