Marketing Technology

Fandom has partnered with Experian and Audigent to enhance its AI-driven Helix platform, integrating over 2,400 syndicated audience segments to deliver deeper fan insights. The move empowers marketers to combine third-party data with first-party fan behavior, unlocking targeting based on motivations, not just demographics. Early results show significant brand lift in awareness and purchase intent. This partnership marks Fandom’s evolution into a data-rich media platform, aiming to help advertisers tap into emotional fandom signals across CTV, mobile, and digital. Despite criticism over ad clutter, the platform’s scale and Gen Z reach position it as a leader in culture-driven targeting.

The news: Z.ai’s new open-source GLM-4.5 model is undercutting DeepSeek and US rivals in cost and efficiency and intensifying global AI competition. Our take: For marketers, open-source tools like Z.ai offer affordable alternatives to costly AI platforms, levelling the playing field for smaller agencies looking to compete. But Z.ai (formerly Zhipu) is on the US Entity List due to its Beijing ties after OpenAI flagged its rapid progress. With this in mind, companies piloting open-source options should do so cautiously and consult with compliance teams before integrating.

The insights: YouTube isn’t Google Search, and brands need to recognize it as a unique platform. Its algorithm prioritizes clicks, watch time, and retention over keywords. Brands and content marketers that rely on blog-style SEO risk getting buried as YouTube and Netflix battle for attention. Our take: Treating YouTube as a strategic content hub, not a recycling center, gives marketers and brands a competitive edge in reach, trust, and conversion potential. By mastering engagement levers—compelling thumbnails, sharp hooks, and strong retention—brands can turn viewers into loyal subscribers and warm leads.

On today’s podcast episode, we discuss how retail media is impacting traditional search marketing, and how marketers can best leverage themselves on the wave of new retail media network platforms. Then, we break down how AI tools will affect the future of paid search advertising. Join our conversation with guest host and Director of Reports Editing, Rahul Chadha, Principal Analyst, Sarah Marzano, and Senior Analyst, Max Willens. Listen everywhere you find podcasts and watch on YouTube and Spotify.

The news: The Nintendo Switch 2 shattered hardware sales records despite a $150 price hike over its predecessor and higher game and subscription prices. US sales hit 1.6  million units in June—the best console launch month ever—surpassing the PlayStation 4’s November 2013 record of 1.1 million. Our take: Nintendo’s end-to-end control over hardware, software, services, and first-party games sets it apart in a gaming industry chasing endless content and fragmented subscription models. By owning the full experience, Nintendo delivers consistency others can’t. To ride the wave, brands can partner with Nintendo for themed consoles, accessories or in-game downloads. Or, they could seek out third-party developers for subtle, story driven placements in games.

The news: The Trump administration unveiled a sweeping AI action plan that trades oversight for acceleration—seeking to supercharge US dominance in artificial intelligence by dismantling regulatory guardrails, undercutting state authority, and fast-tracking infrastructure and development, per Wired. Our take: For marketers, this could mean an influx of new tools, looser content moderation, and shorter time to market for AI-driven campaigns. Marketers should audit their AI tools, implement AI best practices and safety training, and prepare for faster deployment cycles in a looser regulatory environment.

Conversational analytics tools like Adverity’s Data Conversations are helping marketers bypass traditional data bottlenecks by enabling instant, plain-language access to performance insights. No longer dependent on engineers or BI teams, marketers can now ask natural-language questions and receive real-time analytics—reducing inefficiencies and encouraging deeper experimentation. This shift coincides with growing investment in AI and analytics, especially amid economic pressure to optimize spending. With autonomous agents and AI assistants poised to automate reporting and flag anomalies, the landscape is moving toward faster, more agile decision-making—so long as teams implement governance, training, and clear frameworks for responsible adoption.

The news: Salesforce’s Agentforce has handled over 1 million AI support chats from its customers in the past nine months, resolving 84% of queries and cutting customer support case volume by 5%. The impact on business? About 500 Salesforce support engineers were reassigned to higher-value service roles, per VentureBeat. Our take: For brands, the lesson is clear—automation alone won’t win loyalty. Build or refine AI that reflects a brand’s voice and emotional intelligence. Lean on clarity, empathy, and easy handoffs to humans to reinforce user experience, which in turns drives loyalty and satisfaction.

AI is rapidly becoming foundational to marketing strategy, with 63% of teams now using it for planning—up from 28% in 2023, per Boathouse. Customer service and analytics have seen similarly sharp increases, supported by rising investments in CRM systems, CDPs, and automation tools, according to Twilio. As AI’s footprint grows, marketers are reallocating spend toward digital formats like social, CTV, and video, where AI can optimize targeting and performance. This trend reflects a broader shift: the most successful marketers are embedding AI into the fabric of their decision-making, not treating it as a plug-in. The gap is widening fast.

Criteo is modernizing retail media by launching a global auction-based ad platform and integrating with Mirakl to enable self-serve advertising for over 100,000 third-party sellers. This dual move addresses two persistent challenges: outdated fixed-price ad systems used by most retailers, and untapped ad spend from marketplace sellers. The auction system gives advertisers more control and performance insights, while Mirakl opens up a scalable, automated path for small sellers. Criteo also brings standardized attribution and reporting across retail partners—fixing transparency gaps. These changes position Criteo as a full-spectrum solution for brands, retailers, and sellers looking to compete in a fast-evolving market.

Privacy regulations are mounting. Signal loss is accelerating. Omnichannel advertising has become impossibly complex. These forces are driving marketers back to MMM for holistic, privacy-safe measurement.

The news: The window to monitor AI’s reasoning in chatbots and agents is quickly closing, according to 40 researchers from Google DeepMind, Anthropic, OpenAI, Meta, and more. In a rare show of unity, the researchers stated that chatbots and agents are shifting from human-readable chain-of-thought reasoning to opaque, non-verbal methods, per VentureBeat. Our take: The collective call for transparency and standards marks an inflection point. Without urgent action, AI systems may soon outpace our ability to audit them—leaving marketers, creators, and regulators flying blind. Unseen logic means unchecked bias that could result in reputational damage.

The news: The breakneck speed of AI development makes bugs easier to miss and slower to patch, leaving platforms vulnerable to flaws and potentially leaked data. This week, Meta revealed it had patched a bug in January that would have let its AI chatbot users access others’ private prompts and responses, per TechCrunch. Key takeaway: As AI tools become central to marketing workflows, so do the risks tied to prompt exposure, IP leaks, and client data breaches. Marketers must approach AI adoption with the same scrutiny they apply to any vendor handling sensitive assets.

Nextdoor is undergoing a major reinvention, focusing on hyperlocal value with three core features: real-time safety alerts, AI-generated neighborhood recommendations, and curated news from over 3,500 local publishers. The redesigned platform aims to capitalize on shifting work-from-home behavior, verified neighbor identities, and underused local advertising budgets. With 100 million registered users across 11 countries, Nextdoor is uniquely positioned to offer geotargeted content and build ad inventory through increased daily engagement. CEO Nirav Tolia’s bet? Depth over scale. If executed well, the new Nextdoor could become an essential tool for local businesses, publishers, and residents alike—while opening fresh monetization streams.

The Trade Desk will join the S&P 500 on July 18, a milestone that highlights the company’s growing importance in the ad tech space. TTD has recently introduced tools like Deal Desk and AI-powered video placements via Kokai and Rembrand, all while vocally criticizing Amazon’s bundling practices. Despite a 30% YTD decline in stock price, the company’s Q1 revenue rose 25%, and retention remained above 95%. With Ventura OS on the horizon and renewed leadership in place, TTD is positioning itself as a transparent, open-web alternative to Big Tech’s walled gardens—just as it prepares to enter a new phase of institutional visibility.

Generative AI is playing a growing role in video advertising, with 22% of all video ad creative enhanced by genAI in 2024—a figure set to reach 39% by 2026, per IAB. Smaller advertisers are leading the way, using genAI to scale affordable, personalized content. Major platforms like Meta, TikTok, YouTube, and Amazon are fueling adoption with built-in tools that boost ROAS and compress production timelines. While creative speed and flexibility are increasing, many marketers still face hurdles around measurement and platform-level data transparency. As capabilities improve, genAI is transforming video from a production bottleneck into a performance engine.

The news: AI agent adoption in business is happening at an accelerated rate with companies like Intuit, Capital One, and Highmark Health revealing how agents are solving problems and disrupting enterprise workflows, per Venturebeat. Our take: Enterprise AI agents have moved from labs to the front lines. For marketing leaders, that means a clear opportunity to start applying agents to accelerate creative work and squeeze inefficiencies out of existing workflows. As AI agent use becomes mainstream, ensuring an oversight on safety and reliability will become necessary requirements in protecting brand reputation.

The news: Meta is facing an investigation from the French Competition Authority for allegedly limiting access to ad verification partners and exploiting its ad market dominance. Meta is required to implement interim measures, including the development and disclosure of updated guidelines governing access to and maintenance of “viewability” and “brand safety” partnerships. Our take: While France doesn’t account for a massive portion of Meta’s ad revenues, the company could still be subject to substantial consequences if found guilty. Antitrust fines from the French Competition Authority can be as high as 10% of a company’s global annual turnover.

The news: Jasper’s suite of AI-powered marketing agents are purpose-built to automate core marketing functions. These agents, which start at $49 per user per month, work inside Jasper Canvas, a new intelligent workspace designed to streamline planning, collaboration, content creation, and execution. Our take: Marketers must assess their current pain points. If content quality is inconsistent, execution is slow, or tools don’t talk to each other, an agentic platform like Jasper could drive sharper outcomes. As with most new tools, running pilot programs and benchmarks for speed and brand consistency against your current stack will help determine value and ROI.

In today’s episode, we talk about how AI has changed finserv’s approach to advertising and which areas of bank marketing will be affected the most. Join the discussion with host and Head of Business Development Rob Rubin, Analysts Lauren Ashcraft and Jacob Bourne.