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Beet.TV is an essential chronicle of the digital video revolution covering video advertising strategy; programmatic; and other aspects of the industry.
- 43articles · 30d
- 2+ hour agolatest article
- Aug 18, 2026earliest in window
- 95%with images
- 346avg words
- Finance & Business 41
- Business & Industrial 33
- Economy, Business & Finance 28
- Arts, Culture, Entertainment & Media 11
- News 3
- Science & Technology 3
- Shopping 2
- Sports 2
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News
Nift’s Saket Mehta: Brands Must Learn to Thank Consumers for Their Actions – Beet.TV
1+ day, 2+ hour ago (438+ words) Attention has always been valuable in advertising. What has changed is how hard consumers are making brands work to earn it. It all comes down to what happens when brands get the moment right. “You can’t just serve the customer…...
Series: The Beet.TV Leadership Sessions at Cannes Lions 2026, presented by Axonet and Uber Advertising – Beet.TV
8+ hour, 47+ min ago (62+ words) How Brands Engineer Impulse Buying: Axonet’s Patrick Raycroft and Mars United’s Amy Andrews Beet.TV The Beet.TV Leadership Sessions at Cannes Lions 2026, presented by Axonet and Uber Advertising Never miss an update! Required for core website functionality and security....
Brands Must Learn to Market to Machines: DaVinci Commerce’s Diaz Nesamoney – Beet.TV
4+ day, 12+ hour ago (1136+ words) CANNES, France – Artificial intelligence may change online shopping by giving consumers something e-commerce has stubbornly resisted for 30 years: a reasonably pleasant experience. Instead of opening 17 browser tabs, wrestling with filters and wondering why a search for one sensible shirt produced…...
Healthcare Marketers Seek to Close the Loop from Ad Impressions to Patient Outcomes – Beet.TV
4+ day, 12+ hour ago (1184+ words) CANNES, France – Healthcare marketers have been promising to “close the loop” between advertising and patient outcomes for years. Unfortunately, that loop has often resembled a circle drawn by someone riding in the back of an ambulance. Connecting an ad impression…...
EMARKETER’s Stephanie Paterik: AI Isn’t Cannibalizing Other Ad Channels – Beet.TV
4+ day, 14+ hour ago (387+ words) Internet content has felt infinite for the past two decades. Still, when generative artificial intelligence arrived nearly four years ago, that sense of infinity felt like it doubled or even tripled. For Stephanie Paterik, VP of Insights at EMARKETER, that…...
Ibotta’s Chris Riedy: Promotions can Drive the Same Impact as Media – Beet.TV
5+ day, 11+ hour ago (488+ words) CANNES, France — Promotions and media have lived in separate budget lines at consumer packaged goods companies for generations. But that separation may be costing brands measurable sales impact. “A dollar spent on promotions can be as impactful as a dollar…...
Marketing Is Data-Rich but Still Insight-Poor, Says Quigley-Simpson CEO – Beet.TV
5+ day, 12+ hour ago (19+ words) Marketing Is Data-Rich but Still Insight-Poor, Says Quigley-Simpson CEO Beet.TV Marketing Is Data-Rich but Still Insight-Poor, Says Quigley-Simpson CEO...
Ads Inside AI: The Next Media Channel Marketers Can’t Ignore – Beet.TV
6+ day, 10+ hour ago (573+ words) AMENIA, NY – The advertising industry has spent years using artificial intelligence to optimize what it already does. Now the tables are turning: AI itself is becoming the medium. As hundreds of millions of users shift their attention from search boxes…...
AI Is Breaking Advertising’s Favorite Hobby of Putting People in Boxes: GumGum’s Laura Foster – Beet.TV
2+ week, 8+ hour ago (813+ words) CANNES, France — Marketers have spent years treating consumers like neatly labeled storage bins. Business traveler. Leisure traveler. Luxury shopper. Bargain hunter. Put a person in a segment, check a box and call it strategy. Laura Foster, senior vice president of…...
Agentic AI will Put Media Budgets In Motion: Dentsu X’s Brad Stockton – Beet.TV
2+ week, 4+ day ago (703+ words) AMENIA, NY — Media buyers have spent years teaching machines to follow their instructions. Agentic artificial intelligence promises to let the machines make more decisions themselves, which sounds wonderfully efficient until someone remembers that the machines will be spending actual money....