How To Make Rules In Rule Engine Work For Your Account

Automation in PPC can be a double-edged sword—while it saves time, over-reliance on ad network automation can lead to overspending, poor targeting, and missed opportunities. The Optmyzr Rule Engine helps advertisers take back control by allowing them to set up custom rules that optimize bids, pause underperforming elements, and refine targeting based on real-time data.

In this session we walk you through how you can balance automation with control, ensuring you only take action when it truly benefits your campaigns.

In this session of Learn With Optmyzr, we take a deep dive into the Rule Engine, a powerful automation tool within Optmyzr that helps advertisers maintain control over their PPC campaigns. Rather than setting up new rules, this discussion focuses on understanding the Rule Engine’s capabilities, why it is essential, and how it can be leveraged across multiple ad networks, including Google Ads, Microsoft Ads, Meta, Amazon, and LinkedIn.

With increasing reliance on ad network automation, advertisers often struggle with overspending, poor targeting, and inefficiencies in bid strategies. This session highlights how the Rule Engine helps safeguard budgets, optimize bids, and refine targeting using “if-this-then-that” logic—empowering advertisers to automate decisions while maintaining oversight. Whether you’re new to Optmyzr or an experienced user, this discussion helps you unlock practical strategies to improve campaign performance through automation.

What You Will Learn

1. Rule Engine Capabilities Across Ad Platforms

Supports multiple platforms: Google, Microsoft, Meta, Amazon, and LinkedIn.
Rules can be applied at various levels—campaign, ad group, keywords, and placements.

2. How to Use Rule Engine Effectively

Adjust bids dynamically based on data signals.
Exclude non-performing search queries automatically.
Ensure the right bidding strategy is in place (Smart Bidding vs. Manual Bidding).
Use pre-built rule strategies to save time and avoid manual errors.

3. Balancing Automation with Control

Advertisers can choose between automated actions and alerts.
The importance of testing rules as alerts first before automating decisions.
Using historical data (e.g., last 90 days) to make smarter bid adjustments.