Bonded Bitesize – Your Midweek Roundup

Last week, VIOOH partnered with Outernet London to bring programmatic access to premium digital out-of-home (DOOH) screens in the heart of central London’s entertainment district. This move opens up highly desirable urban real estate to advertisers in real time, blending footfall-rich environments with the agility of programmatic buying.
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Google Ads has launched a new Asset Studio beta, aimed at streamlining creative production across performance campaigns. It provides auto-generated creative assets, such as headlines, descriptions, images, and displays styles, all based on campaign targeting and goals. Asset Studio is designed to enhance efficiency for paid search teams, reducing the workload in producing multiple ad variations while improving relevance and consistency. UK advertisers running large-scale search or Performance Max campaigns stand to benefit from faster testing and campaign activation.
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According to a newly released Internet Advertising Bureau (IAB) report, nearly 90% of advertisers are currently using AI to build video ads. Looking ahead, 40% of all video ads are predicted to be AI-assisted by 2026. This shift underscores AI’s growing role in creative production, enabling faster, more personalised, and cost-effective campaigns across the industry.
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Google Ads has introduced a Cart Data Diagnostics tool to help advertisers troubleshoot and accurately capture cart-level data, critical for retail and e-commerce campaigns. This tool can pinpoint reasons for missing attribution or data mismatches, ensuring that Performance Max and shopping campaigns receive the correct signal. For UK advertisers, particularly in retail or travel, it’s an invaluable resource to ensure campaign reporting integrity and maximize ROAS during promotional peaks.
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The August 2025 update for Microsoft’s Power BI introduces enhanced AI integration, including Copilot’s ability to generate DAX measure descriptions automatically. The update also offers more flexible modelling options and improved distribution features.

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