The news: Meta is moving forward with its ad automation ambitions by introducing new options to consolidate ad targeting, per a company announcement. Meta’s Ads Manager page noted that “some detailed targeting options have been combined,” and that ads using now-unavailable options no longer deliver starting in January. Our take: Automated AI campaigns are the path forward as long as giants like Meta continue pushing for automation and away from manual—necessitating advertisers take key steps to adapt. Campaign goals must be reframed for an AI-first environment.
Generative AI is rapidly moving from novelty to necessity in advertising, collapsing production costs and timelines while expanding creative possibilities. National TV ads that once required six figures and weeks of work can now be made in days for a fraction of the budget, opening broadcast-quality campaigns to smaller advertisers. With nearly 90% of large video advertisers already adopting AI, use cases like personalization, ideation, and versioning are proliferating. Yet consumer skepticism remains strong—especially among older audiences—underscoring that human craft and cultural nuance still matter. The challenge ahead: merging automation’s efficiency with trust and authentic creativity at scale.
53% of marketers in North America cite data analysis and insights as the top bottleneck slowing down marketing cycles, according to an April GrowthLoop and Ascend2 survey.
LiveRamp kicked off its fiscal year with strong double-digit revenue growth and a 30% YoY earnings increase, driven by momentum across clean rooms, commerce media, and AI-driven infrastructure. CEO Scott Howe spotlighted Cross Media Insights’ early traction, growing adoption in non-retail verticals, and LiveRamp’s strategic shift to usage-based pricing to reach more SMBs. Netflix integrations continue scaling, despite technical complexity, while ROI remains a top sales focus—highlighted by new case studies and a Forrester-backed 300% return benchmark. With 75% of growth still coming from existing clients, LiveRamp is pushing hard to scale new business in a post-cookie, AI-fueled future.
In an EMARKETER interview, Reddit COO Jen Wong shared optimism following the platform’s strong Q2, highlighting its focus on delivering ad outcomes over increasing ad load. Despite capturing just over 1% of US social ad spend, Reddit is growing ARPU through investments in machine learning, creative tools like Memorable AI, and advertiser infrastructure. Wong emphasized Reddit’s auction model supports full-funnel goals, while global expansion is underway through localized insights and self-serve adoption. She spotlighted Reddit Community Intelligence as a milestone, enabling brands to tap into decades of authentic discussion data. The company’s long-term bet: authenticity will outperform algorithms.
Kroger has consolidated its retail media, consumer insights, and loyalty marketing capabilities under the Kroger Precision Marketing (KPM) brand.
The news: Apple CEO Tim Cook confirmed plans to “significantly” increase AI investments, including acquisitions. The iPhone-maker acquired seven firms this year, some focused on AI, and remains open to deals of any size to boost capabilities, per Business Insider. Our take: Apple’s focus on efficiency and partnerships suggests incremental but impactful AI-driven tools will emerge, especially around privacy-first and device-dependent personalization. Prepare for evolving Apple AI features that emphasize user privacy. Balance campaigns between Apple’s controlled environment and more open, AI-reliant ecosystems like Google’s and Meta’s to optimize reach and precision.
The news: Figma’s high-profile IPO—valued at $19.3 billion—lands it squarely in the league of top-tier software-as-a-service (SaaS) platforms and indicates renewed competition in cloud-based tools that agencies rely on for their campaigns. Our take: Instead of being subsumed by Adobe, Figma is now free to chart its own course. Going public gives it the independence to scale, expand its ecosystem, and challenge incumbents directly. For advertisers, Figma remaining independent gives agencies added choice. As creative tools compete for market share, expect faster innovation, more flexible pricing, and features tuned for digital-first campaigns.
The news: OpenAI is preparing to launch GPT-5, a model that will combine traditional GPT capabilities with o3-series reasoning—marking a major leap in performance and model simplification. Our take: GPT-5 could streamline content creation, search, and CX workflows, leading to renewed industry adoption and customization. Enterprise customers should test GPT-5’s API early. Align adoption with marketing workflows and consider consolidating tools into a single platform to reduce costs. Early movers will shape the future of customer engagement.
OpenAI is preparing to launch GPT-5 in early August. The newest and most powerful model combines traditional GPT capabilities with o3-series reasoning—marking a major leap in performance and model simplification. The consolidation play with GPT-5 could further cement OpenAI’s dominance if competitors are slow to respond.
On today’s podcast episode, we discuss what “authentic storytelling” looks like in practice, surprising findings about the authenticity levels between print and digital, and what’s most important when it comes to a “brand’s handshake.” Join our conversation with Senior Director of Podcasts and host, Marcus Johnson, Senior Director of Briefings, Jeremy Goldman, and Vice President of Brand Marketing at Quad, Heidi Waldusky. Listen everywhere you find podcasts and watch on YouTube and Spotify.
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.