
Rules-Based vs. AI Advertising: Which is Best for Your Amazon Ad Strategy?


Table of Contents
- What is Rules-Based Advertising?
- How Rules-Based Advertising Works
- Who Should Use Rules-Based Advertising?
- What is AI Advertising on Amazon?
- How AI Advertising Works
- Who Should Use AI Advertising?
- Key Differences: Rules-Based vs. AI Advertising on Amazon
- How Helium 10 Ads Helps You Choose the Best Approach
- Automated Advertising Solutions Made for Sellers:
- Conclusion: Which Advertising Approach is Right for You?
For Amazon sellers, advertising is no longer just an option—it’s a necessity. On top of that, managing ad spend and optimizing campaigns efficiently is essential to maintaining profitability and visibility. Without a strategic approach, it’s easy to waste budget on underperforming campaigns on the platform.
Over the years, Amazon advertising has evolved significantly. Sellers used to adjust bids manually and analyze spreadsheets for campaign optimization. Now, many use rules-based automation and AI tools to manage campaigns more efficiently and improve ROI.
But which method is better? Should you retain full control with rules-based automation, or should you allow AI to handle bid adjustments, budget allocation, and keyword optimization?
In this blog, you’ll learn about the differences between rules-based and AI advertising, who benefits most from each approach, and how Helium 10’s advertising tools help sellers optimize their campaigns with greater precision.
What is Rules-Based Advertising?
Rules-based advertising is a structured and logic-driven approach that allows sellers to automate bid adjustments, budget controls, and campaign optimizations based on predefined conditions. Sellers can set up rules to trigger actions automatically. This happens when performance metrics reach specific criteria. So, they no longer need to make manual updates.
How Rules-Based Advertising Works
With rules-based automation, you can establish clear parameters for ad management. For example:
- If an ASIN has an ACoS above 60% for 60 days, pause the target.
- If a keyword receives 25+ clicks with no conversions, lower the bid or remove it.
- If a campaign’s ACoS drops below 10%, increase the bid to capture more impressions.

Advertisers can save time with custom rules and optimize campaigns efficiently. There’s no need to sift through search term reports or adjust bids in Amazon’s ad console.
Who Should Use Rules-Based Advertising?
Rules-based advertising is ideal for sellers who:
✔️ Prefer full control over every aspect of their campaigns.
✔️ Have experience managing Amazon ads and understand when to adjust bids and budgets.
✔️ Run multiple campaigns and need an efficient way to implement strategic changes.
✔️ Want a structured, data-driven approach instead of relying on AI-generated decisions.
For advanced advertisers managing dozens or even hundreds of PPC campaigns, rules-based automation offers efficiency without sacrificing control. Sellers can optimize ad spend in just minutes per week.
What is AI Advertising on Amazon?
AI advertising fully automates campaign management. It uses machine learning to change bids, budgets, and targeting strategies based on live performance data. Instead of sticking to fixed conditions, AI learns from results and adjusts to meet an advertiser’s goals.
How AI Advertising Works
With AI-driven automation, sellers can:
- Set a product goal (e.g., ACoS target), and AI will adjust bids and budgets automatically.
- Automatically pause low-performing keywords and prioritize profitable ones.
- Continuously optimize bid strategies based on real-time trends and competitive activity.
- Reallocate budget across campaigns to prioritize top-performing ads.
Unlike rules-based advertising, AI doesn’t require ongoing manual input. Once set up, it learns and adapts over time. It makes data-driven changes without waiting for a seller to check performance reports. As a seller, you should look at your campaign’s performance. This way, you can ensure AI is helping you reach your goals.
Who Should Use AI Advertising?
AI advertising is best suited for sellers who:
✔️ Want a hands-off approach with automated campaign management.
✔️ Are new to Amazon advertising and need help managing bids and budgets.
✔️ Struggle with high ACoS and need a smarter way to optimize campaigns.
✔️ Lack the time to analyze performance data and adjust campaigns manually.
AI helps new sellers with Amazon PPC by making campaign management easier. It also optimizes performance better than doing it manually or using rules. Sellers who ran their own campaigns and are unhappy with the results may find that AI can boost their strategy.
Key Differences: Rules-Based vs. AI Advertising on Amazon
Feature | Rules-Based Advertising | AI Advertising |
Control | Full control over bid adjustments, budget allocation, and keyword optimization. | AI manages everything based on your set goals. |
Efficiency | Faster than manual adjustments but requires monitoring and refinement. | Fully automated, requires little to no manual oversight. |
Adaptability | Follows predefined rules; changes only happen when conditions are met. | Learns and adapts dynamically to campaign performance. |
Ideal for… | Experienced advertisers who want precise control. | Sellers who want a hands-off, automated solution. |
Some sellers want full transparency and manual oversight, making rules-based automation the preferred choice. Others trust AI-driven decisions to improve ad performance with minimal effort. The best approach depends on how much control a seller wants and how comfortable they are with automation.
There is no RIGHT versus WRONG. The decision is ultimately up to your goals and knowledge of Amazon. Most sellers actually find a sweet spot utilizing AI advertising at the start of their selling journey and rules-based later as they become more knowledgable with Amazon Advertising.
How Helium 10 Ads Helps You Choose the Best Approach
Helium 10 provides rules-based automation and AI-driven campaign management options. Which gives sellers the freedom to pick the strategy that suits them best.
Automated Advertising Solutions Made for Sellers:
✔️ Rules-Based Automation – Allows experienced advertisers to implement custom bidding and budget rules for structured campaign management.
✔️ AI-Powered Optimizations – Provides fully automated campaign management with machine learning-driven decision-making.
✔️ Seamless Amazon Integration – Syncs directly with Amazon Seller Central, eliminating the need for manual adjustments.
✔️ One-Click Rule Implementation – Enables sellers to apply changes instantly, reducing time spent managing ads.
Helium 10 Ads stands out from other advertising platforms. It’s made just for Amazon sellers. This means every choice, whether it’s powered by AI or based on rules, aims for success in the marketplace.
Conclusion: Which Advertising Approach is Right for You?
Choosing between rules-based and AI advertising depends on your experience and goals. Additionally, you should consider how much control you want over your campaigns.
Choose Rules-Based Advertising If:
- You prefer full control over bid adjustments and campaign decisions.
- You have experience managing Amazon ads and want a structured, logic-based approach.
- You run multiple campaigns and need a more efficient way to implement changes.
Choose AI Advertising If:
- You want a hands-off approach that automates campaign optimizations.
- You are new to Amazon advertising and need help managing bids and budgets.
- Your current strategy isn’t delivering results, and you need data-driven adjustments.
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