A new customer retention bidding option targets your best customers directly, helping you protect revenue and reinforce loyalty at the same time.
Google Ads added a new option inside its customer retention bidding settings called Loyalty program members. You can now bid higher specifically for this audience and, in eligible countries, surface member benefits directly within your ads.
Acquiring a new customer costs significantly more than retaining an existing one. Your loyalty program members are already bought in. They know your brand, they have bought before, and they are more likely to convert again. The problem is that standard bidding treats them the same as a cold prospect. This new option closes that gap.
By bidding higher for loyalty members, you make sure your ads show up when they are in market, before a competitor does. By showing member benefits in the ad itself, you give them a reason to click that a non-member would not see.
Both features sit inside the customer retention bidding controls, so they layer on top of your existing campaign structure rather than requiring a separate campaign build.
For industrial suppliers, commercial service providers, and small business owners running repeat-purchase or contract-based models, this is a direct lever for protecting revenue. Your loyalty members are your margin. Competing hard for their attention in paid search, with messaging that acknowledges their status, is a low-waste way to keep them in your ecosystem.
The setup requires your loyalty audience to be properly connected to your Google Ads account and your customer match data to be current. If those foundations are not in place, the feature will not perform as intended.
Source: Search Engine Roundtable, August 19, 2026.
Microsoft Advertising added new experiment types called Max upgrade and uplift experiments. They let you test changes to a live Performance Max campaign on a portion of your traffic before rolling out to 100 percent.
Experiments show you the real impact of a change (like a new bid strategy or budget shift) on a test group versus your control group, so you avoid wasting spend on changes that don't work.
Microsoft Ads runs the experiment long enough to give you statistical confidence in the results. You review the performance lift or uplift data and decide whether to apply the change to your full campaign.
The source does not specify limits on concurrent experiments, so check Microsoft Advertising documentation or contact your account team for guidance on best practices.