Google Ads is constantly evolving, and staying ahead means understanding the latest tools and strategies. This episode of Google Ads Decoded brings together product leads Sylvanus Bent and Charles Boyd to discuss the "Power Pack" approach, combining AI, automation, and key campaign types like Performance Max (PMax) and Demand Gen. They share insights on creative innovation, testing, and how advertisers can best work with these powerful tools.
Key Takeaways
- The Power Pack Strategy: Combining Search, PMax, and Demand Gen campaigns offers a comprehensive approach to reaching audiences across different stages of their journey.
- AI and Automation are Key: Google is heavily investing in AI and automation to drive performance, with continuous backend improvements enhancing campaign effectiveness.
- Creative is Crucial: Providing a variety of high-quality assets and signals is vital for AI to optimise campaigns effectively.
- Test and Learn Mindset: The rapid pace of change in digital marketing necessitates a continuous testing and learning approach.
- Shift in Advertiser Role: Advertisers are moving from being "pilots" to "architects" and "strategists," focusing on providing quality inputs and strategic direction rather than manual adjustments.
Understanding The Power Pack
The "Power Pack" refers to a strategic combination of Google Ads campaign types: AI Max for Search, Performance Max (PMax), and Demand Gen. This approach aims to give advertisers the best of Google’s AI advancements across different campaign objectives. While PMax has historically been the go-to for leveraging Google’s AI, the introduction of AI Max for Search and the continued evolution of Demand Gen provide more tailored options.
Behind The Scenes Quality Improvements
Google Ads is continuously working on improving campaign performance through backend updates. Sylvanus Bent explains that over 90 quality improvements were made to PMax alone last year, leading to significant increases in conversions and conversion value. These improvements often happen without direct advertiser intervention, highlighting the ongoing commitment to enhancing campaign effectiveness. The process involves gathering advertiser feedback, forming hypotheses, analysing data, and running experiments to refine the system. This means that even if a campaign type didn’t work well previously, it’s worth revisiting due to these constant updates.
The Importance of Testing
Charles Boyd emphasises that the way Google tests and refines its systems mirrors the advice given to advertisers: always be testing. Providing a wide range of creative assets and signals allows the AI to learn and optimise effectively. This "test and learn" mindset is not just for creative but also for campaign types. Whether it’s testing AI Max for Search alongside PMax or exploring Demand Gen, advertisers need to be data-driven and iterate based on results.
Creative Strategies and AI
AI is playing an increasingly significant role in creative asset generation. Charles Boyd highlights new tools that help advertisers create a wider variety of assets, including AI-generated images and text. These tools are designed to inspire advertisers, fill creative gaps, and help achieve "excellent" ad strength, which is a diagnostic measure of how well-equipped your ads are for optimisation. Advertisers can now provide more specific inputs, such as brand guidelines, colours, and fonts, to influence the generated assets. It’s important to remember that these generated assets should complement, not replace, existing high-quality creative. The system learns from the inputs provided, including landing pages, website content, and provided assets.
Asset-Level Reporting and Insights
Asset-level reporting is a new feature rolling out for PMax, Search, and Display campaigns. This provides advertisers with more granular insights into which specific assets are performing well. The advice is to use this data to identify top performers and understand what’s resonating. However, it’s crucial not to simply remove underperforming assets. Instead, use the learnings from successful assets to inform replacements or improvements. Sometimes, an asset might perform exceptionally well for a niche audience, or the system might simply prefer another asset for a given query. Understanding these nuances helps in refining the overall asset strategy.
The Rise of Video in Marketing
Video is becoming an increasingly important part of marketing strategies. Google encourages advertisers to include videos in campaigns that support them, as it can extend reach and drive conversions. Even if video doesn’t show direct conversions in reporting, it can contribute incrementally by influencing customer journeys. Google’s AI can identify the most effective parts of a video to serve to potential customers. For those new to video, the advice is to add them to campaigns to capture a larger audience and potentially see more conversions.
Campaign Management in an AI World
As AI becomes more embedded in campaign platforms, the role of the advertiser is shifting. Sylvanus Bent suggests thinking less like a pilot and more like an architect or strategist. The focus should be on providing high-quality inputs – the data, the assets, the brand strategy – that the AI can then use to optimise performance. Instead of trying to manually outpace the AI, advertisers should concentrate on becoming masters of the inputs. This means ensuring the data fed into the system is the best it can be. Charles Boyd adds that control doesn’t disappear but shifts. Advertisers still control targeting, brand alignment, and regulatory requirements, but the way these controls are implemented may look different in an AI-powered world.
Q&A: Bidding Strategies
When should I set a CPA or ROAS target?
If you’re using bidding strategies like "Maximize Conversions" or "Maximize Conversion Value" without a target, they aim to get as many conversions or as much conversion value as possible within your budget. These are suitable for fixed budgets. However, setting a CPA (Cost Per Acquisition) or ROAS (Return On Ad Spend) target allows you to control campaign performance by optimising towards specific goals, balancing volume and efficiency. It’s recommended to use targets when your budget isn’t capped, as the targets themselves become the lever for controlling spend.
How to use the Bid Strategy Report?
Bid strategy reports help you understand how your automated bidding strategies are performing. They can indicate if strategies are set up correctly or if they are facing limitations. With sufficient data, you can see the top signals (like device, location, time of day, customer match lists) that are used to optimise bids. These reports are also available for portfolio bid strategies.
