The Journal.
Signal, not noise.

Reusing social creative makes commercial sense if production time is what keeps an account from testing YouTube. I can see the appeal. But an asset that earns attention in a social feed has not automatically earned more media budget elsewhere. With only the headline available, I would treat this as a testing idea, not evidence of a new capability or better performance.

The useful distinction is between reusing the idea and simply uploading the same file. I would take a social asset that has produced qualified demand, then check whether the opening, offer, framing and call to action still make sense in the intended YouTube placement. A strong engagement rate alone would not get it onto my shortlist. Otherwise we risk taking creative that is good at attracting attention and asking it to do a sales job it has never proved it can do.

My next move would be a contained test of the original asset against a version adapted for that placement, keeping the audience, offer and conversion goal as comparable as possible. For lead generation, I would follow those leads into Salesforce and allow for conversion lag before judging qualified CPL and cost per contract. If qualification holds and acquisition economics leave room to scale, that would justify more budget. If cheap production leads to expensive customer acquisition, we have saved money in the wrong place.

More routes out of an ad could be useful, particularly if someone can go straight to the service or product they actually need. But this is a reported screenshot, and even Barry is unsure about the format. I would keep it on the radar rather than treat it as a reason to change budgets or bidding targets.

What interests me is where those extra links send people. A link to a relevant service page could remove friction. A link to general information might attract more clicks without bringing anyone closer to becoming a customer. A higher CTR would not settle that for me. I would want to know whether the landing page matches the need behind the click and whether those leads survive qualification in Salesforce. Otherwise, the account could be buying more activity while cost per contract gets worse.

The practical move now is an asset and destination review, not a rebuild. Check that existing sitelinks point to useful, current pages with working conversion tracking. If this format becomes confirmed and identifiable in reporting, compare qualified CPL and cost per contract after allowing for conversion lag. Better downstream economics would make me interested in testing more spend. More clicks alone would not, and without a way to isolate AI Mode traffic, I would be careful about crediting this format for any account level change.

My first reaction is that this could make loyalty benefits more useful at the point someone is comparing products, rather than only after they reach the site. But a mention of AI Mode and Gemini in a help document is not enough for me to assume there is a new paid placement or an immediate scaling opportunity. The report also says non advertisers can participate. This is a Merchant Center development, not automatically a reason to give Performance Max more budget.

The commercial wrinkle is who gets the benefit. An existing member seeing a relevant offer could be more likely to buy, which is useful. But better conversion from people who already know the brand can make acquisition performance look stronger without bringing in more new customers. I would want to separate member orders, returning customer orders and genuinely new customers, then look at margin after the loyalty benefit. Higher reported ROAS would not persuade me to scale if we were mostly discounting purchases that were likely to happen anyway.

Before touching bids, I would check the actual country and device availability, whether our membership rules qualify, and what the Merchant API implementation requires. The supplied snapshot does not include the availability grid, so I would not brief every regional team as though coverage were identical. I would also check that the benefit shown by Google matches what an eligible customer can actually redeem. A more attractive listing is not much help if checkout creates an argument about the price.

My next move would be a limited rollout wherever eligibility and availability are confirmed, with paid and free listing results kept separate where reporting allows. What would change my mind about putting more money behind it is evidence of additional profitable orders, not simply more member conversions being credited to Google. If surface reporting is too thin to establish that, I would keep the budget case separate from the implementation case.

I can see why Google would allow this. A recognized brand and its destination domain do not always have the same name, and forcing them to match can make a legitimate advertiser less recognizable. But this is a narrow exception with three conditions, not permission to put whichever brand attracts the most clicks into the business name field.

The relationship with the domain owner is the part I would check first. Having permission to sell a product is not the same as qualifying to advertise under its standalone brand name. The exclusions matter particularly for booking and reseller accounts. Before changing anything, I would confirm the official policy wording and effective date, then establish how Google expects that direct relationship to be verified. The supplied report does not explain that process.

For an eligible account, I would start with business name assets that have been constrained by a genuine brand and domain mismatch. A more recognizable name could help response, but I would not forecast an uplift from a policy change alone. If CTR improves, I still want to see whether CVR and qualified CPL hold up. More clicks are not much of a win if people arrive confused about who they are buying from. Consistent branding on the landing page and stable lead quality would give me more confidence than a better looking Ads report.

This is the trade I've been waiting for Google to make. The automation versus control tension was never really about wanting to micromanage, it's about being able to say 'not that' when the machine drifts into auctions that look efficient on platform metrics and terrible in the CRM. Exclusions before auction eligibility is the important detail: it means you're not just filtering reporting, you're changing what you bid on. My advice: don't rush to exclude everything that looks odd week one. Pull your last 90 days of search terms, cross reference against closed won revenue, and exclude the themes that produce leads your sales team actually rejects. Control is only valuable when it's informed by outcomes.

The headline will get quoted as 'tROAS wins' and that's exactly the wrong takeaway. Read the third point again: flat proxy values killed the advantage entirely. Value based bidding is only as good as the values you feed it, and most lead gen accounts are feeding it fiction. The real lesson is about measurement discipline, if you can't connect a click to a closed deal, no bidding strategy will save you. Below 30 offline conversions a month the signal is too thin and you're better off with tCPA and ruthless lead qualification upstream. This is a data maturity test dressed up as a bidding study.