Blue Thirst | Performance Digital Marketing Agency
Right message, Right person, Right time
Subscribe today make sure you never miss a briefing
Meta starts using AI-chat data to personalize ads across its apps
Knowing this matters because brands will soon benefit from more personalized targeting that can significantly improve relevance, engagement, and conversion efficiency. Implementing this will require updated privacy messaging, opt-out handling, and campaign strategy adjustments to ensure performance gains while maintaining user trust.
Meta is integrating AI chat interaction data into its advertising and content recommendation systems across Facebook, Instagram, and WhatsApp starting December 16, 2025. The update promises a potential 10–20 percent lift in ad relevance by incorporating first-party conversational inputs into targeting and optimisation workflows. While Meta has confirmed exclusions for sensitive categories such as health and politics, the update has triggered ongoing debate over data ethics, regulatory alignment, and shifting expectations around digital privacy.
The change impacts more than one billion users globally and will roll out with region-specific consent rules depending on data and compliance obligations like GDPR. Meta has invested heavily in infrastructure to support this transition, signalling that conversational AI-powered data will play a long-term role in the company’s ad ecosystem.
Marketers are encouraged to review privacy documentation, adjust targeting strategies, and anticipate user opt-out behavior. This update marks one of the most significant evolutions in Meta’s personalization model and could become a blueprint adopted by competitors such as Google and TikTok.
https://www.webpronews.com/metas-ai-chat-data-ushers-in-hyper-personalized-ads-era/
Google Ads now auto-generates video ads from existing Demand Gen image ads
This is important because it allows brands to scale creative output without increasing production budgets, improving reach across video-first platforms like YouTube, Shorts, and Discover. Implementing this gives campaigns higher engagement potential and broader format coverage, but requires creative governance to ensure auto-generated videos remain on-brand.
Google Ads has launched a new capability that automatically transforms existing Demand Gen assets into video creatives across multiple formats and placements. Starting October 31, image-only Demand Gen ad groups created before August 27 will begin serving auto-generated videos unless advertisers opt out. These videos are designed to run across YouTube, Shorts, Gmail, and other eligible inventory placements to maximise coverage and performance.
The tool uses advertiser-supplied images and text to build branded video templates in various aspect ratios, reducing production workload and allowing advertisers to scale cross-channel delivery. Google emphasises that this update broadens creative availability and accelerates delivery for advertisers who rely heavily on static image campaigns.
Advertisers will need to audit existing assets to ensure their inputs translate cleanly into video formats before active rollout. With video formats consistently outperforming static creative in Demand Gen environments, this update is likely to reshape how campaigns are structured and maintained.
Better ad-asset reporting for Google Display Ads
This matters because improved visibility enables smarter creative decisions, reducing wasted spend and helping advertisers prioritise content that drives results. Implementing asset-level analysis will help teams replace guesswork with data-driven optimisation.
Google has introduced expanded asset reporting for Display campaigns, giving advertisers granular insight into the performance of individual ad assets across campaigns, ad groups, and creative variations. The new reporting framework enables users to assess how each asset contributes to overall campaign success and compare outcomes across multiple levels of structure.
The update includes performance metrics, change history, and visibility into whether assets should be refreshed, paused, or replaced. Marketers can now customise reporting columns to align data output with campaign targets, enabling more strategic execution around creative testing and lifecycle planning.
This feature also supports version monitoring by showing creation timestamps and modification dates, helping advertisers track how new creative additions or edits correlate with shifts in campaign performance. As Display campaigns increasingly rely on responsive and automated creative setups, asset-level transparency becomes essential for iterative optimisation.
https://support.google.com/google-ads/answer/16713821
Google Ads Expands Performance Max Reporting with New Asset and Channel Features
This is important because Performance Max has historically lacked actionable transparency, making optimisation difficult. Implementing the new reporting segmentation will help brands more accurately evaluate efficiency, cost allocation, and creative effectiveness across channels.
Google has expanded reporting capabilities for Performance Max, enabling segmentation by device, time, conversion type, and advertising network including YouTube, Search, Display, Gmail, Discover, and Maps. This update gives marketers more precise insight into how PMax campaigns allocate budget and perform across placements.
A major enhancement includes bulk downloadable reports at the account level, along with new ROI measurement columns and cost-based visualisations to inform budget strategy. The update also introduces diagnostics that highlight issues like limited delivery due to overly strict bid strategies or audience constraints.
Advertisers can now segment performance by conversion action and ad event type, supporting improved attribution logic and campaign refinement. Google has confirmed ongoing improvements will follow as part of a longer-term roadmap to make PMax more transparent and controllable.
Google Analytics update: improved attribution + campaign data import changes
This matters because improved attribution accuracy means more reliable measurement for ad spend and customer journey tracking. Implementing the new UPD structure ensures higher-quality data for conversions, retargeting, audience building, and reporting integrity.
Google Analytics has upgraded its User-Provided Data (UPD) infrastructure to refine attribution and improve how behavioural and conversion data is matched to advertising identities. The update removes UPD as a reporting identity factor and instead channels the data into activation to support better Ads Conversion accuracy.
The improved infrastructure enhances Enhanced Conversions and Customer Match workflows, making cross-platform matching more consistent. New users onboarded to this version will receive full performance benefits immediately, while earlier adopters will transition in phases through 2026.
This shift strengthens Google Analytics as a more reliable measurement foundation for paid media, especially as third-party identifiers continue to phase out. Advertisers should audit implementation to ensure compatibility with the updated infrastructure.
https://openai.com/index/sora-2
Mobile gaming ad landscape 2025: Interactive ads + AI-led optimisation dominate
This matters because gaming remains one of the fastest-growing ad sectors and often signals broader industry trends in creative formats and automation. Implementing interactive formats and AI-powered optimisation can increase engagement, improve conversion rates, and automate scaling across fragmented platforms.
Mobile gaming advertising experienced significant growth in 2025, with installations rising 7.4 percent and global revenue reaching $82.5 billion. Creative volume surged as advertisers shifted toward interactive playable formats and hybrid video-playable executions. Video now accounts for more than 80 percent of gaming ad creative volume worldwide.
Meta, Google, and TikTok remain dominant platforms, benefiting advertisers seeking scalable reach with automated creative workflows. AI-generated content, avatar-based creatives, automated editing, and templated video tools have become mainstream, accelerating production velocity and improving conversion-driven personalisation.
Advertisers face mounting challenges, including rising user acquisition costs and complex cross-channel reporting structures. To maintain efficiency, teams are prioritising automation, unified analytics, and integrated workflows across major advertising ecosystems. The sector is now entering an intelligent advertising era led by AI-optimised campaign strategies and immersive creative execution.