August 11, 2026

Netflix has closed its 2026-27 upfront selling season with ad commitments that nearly doubled year over year, according to Amy Reinhard, the company's president of advertising. The result keeps Netflix on pace for its stated 2026 target of $3 billion in ad revenue, up from $1.5 billion in 2025. Demand concentrated in returning titles including Bridgerton, Emily in Paris and Nobody Wants This, plus sports packages spanning NFL, WWE and MLB. Reinhard said sponsorships for the 2027 FIFA Women's World Cup are sold out, with in-game inventory nearly gone too. CPMs on Netflix inventory range from $25 to $65 or more, with NFL games commanding the top end and Wednesday, Stranger Things and The Night Agent pulling $45 to $55. The Media Rating Council also granted Netflix Ads Suite its first accreditation for reporting U.S. in-stream video impressions across CTV, mobile app and desktop web.

iSpot has published The Definitive Guide to Outcome Measurement, a framework built with input from more than 20 brand marketers on its Client Advisory Board. The guide sets out four required pillars for what iSpot calls a durable measurement infrastructure, covering exposure verification across linear, streaming, VOD and out-of-home TV, and the metrics needed to track both short-term response and long-term brand equity under one scorecard. iSpot says the framework is meant to replace fragmented, incomplete data signals with a consistent standard marketers can use to justify and optimize ad spend across creative and media. The company, founded in Bellevue, Washington in 2012, was the first to link TV exposure data to business outcomes nearly a decade ago and now measures TV and video impressions and attention across linear, time-shifted, VOD, streaming and OOH screens. The full guide is available on iSpot's website.

Google will roll out new AI dashboards and agentic features across Google Ads and Google Analytics, senior director of product management Josh Moser said in a blog post published Monday. Advertisers can generate visual performance reports from raw data using natural-language prompts, and each report will include an automatically generated summary explaining the reasons behind the numbers. Google Analytics will show a home-page recap of traffic changes and account updates since a user's last login, and Google Ads will surface a similar AI-generated summary of personalized insights. A new benchmarking tool in Analytics will let advertisers compare their performance against competitors, feeding into Ask Advisor, the in-product agent Google introduced in May. Ask Advisor links Google Ads, Analytics, Merchant Center and the Google Marketing Platform, letting marketers automate campaign setups and diagnose performance drops without switching between tools.

Georgia-Pacific has cut CPMs by 17% to 44% across brands since adopting SWYM, a tool that screens programmatic inventory before the auction using predictive signals. Paras Shah, the company's senior director of digital media, said the goal was to score inventory before the bid. Viewability rose 11% and video completion rates rose 7% under the new screening process. A partnership with Fou Analytics cut invalid traffic by about 8% before it reached the auction. Georgia-Pacific also narrowed its SSP roster from more than 30 to roughly six, judging each supplier on how well it converts shared inventory into savings and quality. The changes have produced six-figure annual savings, according to a case study on the program. Georgia-Pacific's demand-side platform remains Yahoo, and Shah said DSPs and SSPs need to communicate for advertisers to win.

A federal judge has paused the Paramount-Warner Bros. Discovery merger after several states filed lawsuits alleging monopolistic concerns. Paramount agreed to push the deal's closing date to as late as June 2027, depending on how the court cases proceed. The $110 billion transaction combines Paramount's inventory with Warner's across linear, streaming and sports, a scale advantage both sides expect once the entities align. Marketer and MediaPost columnist Cory Treffiletti argues the bigger risk sits in the 2027 upfront marketplace. Buyers commit a year of budget during the upfront based on clear visibility into pricing, content and inventory plans. If ownership questions remain open when that cycle starts next spring, both companies could face buyers who deliberately underweight their inventory until the merger resolves. That hesitation would undercut committed revenue during the exact window meant to prove the $110 billion deal's value.

Benjamin Pius, publisher at Broadcast Media Africa, argues in a BMA View column that most African broadcasters cannot answer a basic question: how many people watched a programme last night. Existing measurement panels cover only a few thousand urban households as a proxy for audiences that run into the hundreds of millions, leaving entire regions and languages uncounted. Pius says airtime sells below its real value when sellers cannot evidence audience size, and that popular local programmes get cancelled because their true reach stays invisible. He points to return-path data from set-top boxes and smart TVs, streaming analytics, mobile viewing data and AI models that combine these sources as tools now cheap and fast enough to close the gap. Pius calls for a shared measurement standard, independent verification and a pan-African joint-industry measurement body, with the topic on the agenda at the Broadcasters Convention West Africa 2026 in Accra, 22-23 September.

JAA Media runs a hybrid CTV team that merges its digital and AV specialists, meeting weekly to review every CTV brief together, according to Max Noss, the agency's Head of AV. Speaking to VideoWeek, Noss says the model gives media owners a single point of contact, since the rise of CTV has left many unsure whether to pitch the AV team or the digital team. He argues that strong relationships between agencies and media owners are "becoming a bit of a lost art," and calls them a core part of JAA Media's client value. Noss also points to CPMs on premium CTV services such as Netflix and Amazon, which have moved closer to linear TV pricing as the market has grown, giving the agency more confidence recommending those platforms. He adds that comparing impressions across media types in isolation ignores the differences in reach, frequency and outcomes that determine a campaign's success.

Affle 3i posted consolidated revenue of ₹747.2 crore for the first quarter of FY27, up 20.4% year-on-year. Profit after tax rose 21.7% to ₹128.4 crore, and EBITDA increased 20% to ₹167.6 crore, holding the EBITDA margin at 22.4%. The company's cost-per-converted-user model delivered 12.4 crore converted users during the quarter, with CPCU revenue up 20.2% to ₹745.5 crore. Affle attributed the growth to its Affle 3i Consumer Platform, which combines proprietary data, audience intelligence and agentic AI to optimise targeting and personalise engagement across mobile, connected TV and other connected devices. During the quarter Affle acquired strategic AdColony assets to strengthen that platform stack. CEO Anuj Khanna Sohum said the deal helps drive new and existing user conversions across mobile, CTV and other AICDs. Growth was broad-based across India and international markets.

Five Indian AdTech companies are each building one layer of agentic media buying, software that plans, executes and adjusts campaigns on its own. Navi Mumbai's Adsnex runs pacing, bid adjustments and cross-network budget shifts inside a single advertising operating system. DeltaX, which has optimized cross-channel bidding since 2012, serves more than a thousand advertisers and trains its models on years of proprietary campaign data. Gurugram's Marx AI Technology automates competitor analysis and creative ideation while campaign strategy stays with people, and Bengaluru's Lumiad compresses UGC-style video production into one loop of scripts, AI-avatar production and iteration. Mumbai's HockeyCurve links creative and placement into a single optimization problem. The World Federation of Advertisers found most media buyers are highly or extremely concerned about data privacy when using generative AI for media.