Demand Gen vs Discovery Ads: What Changed in Google Ads

The shift to Demand Gen was driven by the need for a more unified campaign structure that supports modern content consumption habits. Discovery campaigns served ads primarily on the Google Discover feed, YouTube home feed, and Gmail. While effective, these placements did not fully cover the rise of short-form video. Demand Gen addresses this by incorporating YouTube Shorts into the mix, which is a major change for brands relying on visual storytelling. By consolidating these placements into a single campaign type, Google allows for a more consistent bidding strategy across varied visual environments. This change helps ensure that your visual assets are working hard across both static feeds and dynamic video streams without needing separate, fragmented campaign setups.

In a typical account, managing multiple campaign types often leads to budget dilution and data fragmentation. By moving to a single Demand Gen campaign, you centralize your audience signals and conversion data. This consolidation is useful for smaller teams who need to manage ad spend efficiently while maintaining high performance. When you set up a Demand Gen campaign, the system uses your provided assets to intelligently serve ads across the most relevant surfaces based on your conversion goals. You no longer have to manually partition budgets between separate Discovery and YouTube-specific video campaigns, which simplifies the overall management process for the account manager.

Discovery campaigns were limited to the Discover feed, YouTube, and Gmail. Demand Gen expands this list to include YouTube Shorts, which currently represents a massive portion of user engagement on the platform. This addition means your visual ads can appear in the vertical video feed, providing a fresh way to reach potential customers who might not be browsing the traditional Google Discover feed. The inventory expansion is a move to keep ads relevant in an environment where video content is the dominant format.

Beyond just adding Shorts, the way Demand Gen handles inventory is more dynamic. The system is designed to test your assets across these different surfaces to see where they perform best. For example, if you are running an e-commerce campaign for a clothing brand, the system might find that your video assets perform better on YouTube Shorts while your static images see higher engagement on the Discover feed. This automated testing saves you from having to guess which format works where. It allows the campaign to adapt to user behavior in real-time, ensuring that your ads are always placed in the most suitable environment.

• Support for both static image ads and high-quality video assets.
• Ability to upload vertical, square, and landscape video formats.
• Integration of product feeds to show tailored offers to users.
• Simplified asset management within a single campaign structure.
• Consistent performance reporting across all included visual surfaces.

Creative flexibility is a major feature of the Demand Gen update. Unlike the older Discovery format, which leaned heavily on standard image specs, Demand Gen is built to handle a variety of aspect ratios. This is essential for YouTube Shorts, which requires vertical video. By enabling these formats, Google allows you to repurpose existing social media assets directly into your Google Ads account. This reduces the time spent on creating platform-specific content and allows for a faster testing cycle for your creative team.

Migration should be done with care to ensure performance does not drop during the transition. First, audit your existing creative assets to ensure they meet the new requirements for video and image specs. If you have high-performing assets from your old Discovery campaigns, you should migrate those first to serve as a baseline. Check that your conversion tracking is properly configured, as Demand Gen relies heavily on conversion data to optimize bidding. If your account does not have sufficient conversion volume, the algorithm may struggle to find the right audience, so monitor your daily spend closely during the first two weeks.

• Audit existing image assets and update to the required aspect ratios.
• Prepare vertical video assets specifically for the YouTube Shorts placement.
• Verify that conversion goals are set to ‘maximize conversions’ or ‘target CPA’.
• Review audience segments to ensure you are targeting high-intent users.
• Monitor the ‘Asset Performance’ tab to identify which creative elements drive results.

At Alien Road, our approach to Demand Gen focuses on asset quality and audience signal refinement. We start by reviewing a client’s historical data from Discovery campaigns to identify which visual themes resonated with their target audience. For example, when managing a retail client, we prioritize the use of product feeds to ensure that the ad content remains relevant to the user’s recent browsing behavior. We then structure the Demand Gen campaign to emphasize both high-impact video for Shorts and clean, high-resolution static images for the Discover feed.

Our process involves frequent monitoring of the asset-level reporting available in the Google Ads dashboard. We look for patterns where specific video lengths or image styles correlate with higher click-through rates. By providing the system with a diverse set of creative options, we allow the machine learning algorithms to perform their function effectively. We do not try to manually force placements, as the platform is designed to distribute spend based on predicted performance. Instead, we focus on providing the best possible raw material for the system to use, ensuring that our clients get the most out of their budget across every available placement.

Audience targeting remains a core part of the strategy in Demand Gen. You can still use your first-party data, such as customer match lists or website visitor segments, to guide the campaign toward high-value users. The system uses these signals to find similar users who are likely to engage with your brand. In a typical account, we observe that combining first-party data with Google’s audience segments provides a strong foundation for the campaign. It is a good practice to refresh your customer lists regularly so that the system is always working with the most current data.

When you set up targeting, avoid being too restrictive. If you narrow your audience too much, you limit the system’s ability to learn and optimize. Instead, use your audience signals as a guide for the algorithm rather than a hard boundary. This allows the campaign to explore broader reach while still prioritizing users who share characteristics with your best customers. Keep an eye on your reach metrics to see how many new users are being introduced to your brand versus how many returning visitors are seeing your ads.