This week Google doubles down on AI-driven bidding data and holiday-season agentic commerce features, while Microsoft nudges brands to get their product signals AI-ready before the festive rush.
In this Ads Decoded episode, Google product staff discuss building data strength for lead gen, expanding Data Manager for centralising first-party workflows, a new lead intent scoring pilot, and journey-aware bidding designed to train Smart Bidding on delayed sales cycles.
This is a Tier 1 official podcast, so treat the framing as vendor advocacy rather than independent proof. The underlying message, that Smart Bidding needs closed-won revenue signals rather than raw form fills, actually supports my long-held view that automated lead gen bidding is unsafe without high-quality offline conversion data. Google is effectively admitting this by building tools to compensate for it. The lead intent scoring pilot and journey-aware bidding are promising in theory but unproven at scale, and access is limited to a pilot cohort, so results should not be assumed to generalise.
Google made AI performance insights in Merchant Center generally available in Australia, Canada, India, New Zealand and the US, opened a Business Agent for YouTube ads beta in the US, expanded Universal Commerce Protocol checkout capabilities in the US with Australia and Canada to follow, and shared feed optimisation tactics including video link attributes, conversational attributes, and loyalty data integration.
This is a Tier 1 official post citing Google's own case studies with Tapestry, lululemon and Minted, so treat the performance figures, such as the claimed 5 percent conversion lift from feed best practices and the 50 percent inclusion rate for lululemon's conversational attributes, as vendor-reported rather than independently verified. Notably, the AI performance insights GA rollout and the Business Agent beta both exclude the UK, so UK ecommerce advertisers cannot access those specific features yet, only the underlying feed optimisation guidance applies broadly.
In this Ads Decoded episode, Google's Enric Durany and Ginny Marvin discuss balancing upper and lower funnel Shopping strategy and highlight AI Max for Shopping, now in open beta with text customisation and Final URL expansion, as a way to capture evolving search intent.
This is Tier 1 vendor content recorded at a Google event, so the framing naturally favours adoption of Google's newest automation feature. AI Max for Shopping being in open beta means advertisers can test it now ahead of the holiday period rather than wait for general availability, which is the practical reason this is worth prioritising this week if you run Shopping campaigns.
Microsoft Advertising published a general reminder that AI-assisted shopping journeys require clear, correctly structured brand and product signals, framed as four foundations to get ready for the holidays, though the excerpt does not detail specific product features or dates.
This is Tier 1 official guidance but reads as broad seasonal advice rather than a concrete product announcement, so there is little to independently verify or challenge. It is a useful nudge for UK advertisers on Microsoft Advertising to review product feed accuracy and structured data before the holiday period, even without new specifics to act on.