Netflix x AB InBev 🤝 Streamlining Public Data Access For AI Developers 🔓 LinkedIn Introduces B2B Attribution & Analytics 🥳

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Netflix Strikes Global Marketing Deal With Beverage Giant AB Inbev [4 min read]

Netflix and AB InBev signed a big marketing deal where beer brands like Budweiser will sponsor Netflix shows around the world. The partnership works globally but can be customized for different countries, like using different beer brands for different types of shows. Instead of just regular ads, they'll put Netflix characters on beer packaging, create special products, and sponsor live events like NFL games.

Introducing The Data Commons Model Context Protocol (MCP) Server: Streamlining Public Data Access For AI Developers [4 min read]

Data Commons has launched a Model Context Protocol (MCP) Server that provides AI developers with standardized access to vast public datasets, dramatically accelerating the creation of data-rich applications while reducing LLM hallucinations through real-world statistical grounding. The real-world impact is demonstrated through their partnership with the ONE Campaign, which created the ONE Data Agent that allows users to search tens of millions of health financing data points using plain language, transforming how global health advocates access critical policy-making data. The MCP Server is designed for seamless integration across development workflows, working naturally with Google Cloud Platform tools like the Agent Development Kit and Gemini CLI, while also supporting any other agentic platform through comprehensive resources and minimal onboarding friction.

LinkedIn Introduces B2B Attribution & Analytics [5 min read]

Traditional B2B marketing measurement doesn't work because it tracks individual people instead of companies, even though business buying involves teams of 6-10 people over long sales cycles. LinkedIn's new Company Intelligence API fixes this by tracking how entire companies engage with your marketing, giving you a complete picture of the buyer journey. Early users saw big improvements like reaching 287% more companies and getting 43% lower costs, proving this approach works better than old methods.

How Are Developers Using AI? Inside The Google 2025 DORA Report [4 min read]

AI adoption in software development has reached 90% among professionals (up 14% from last year), with developers spending a median of two hours daily using AI tools that deliver significant productivity gains for over 80% of users and improve code quality for 59%. Despite this widespread adoption and perceived value, a "trust paradox" exists where only 24% have high trust in AI while 30% trust it minimally, suggesting AI serves as a supportive productivity tool rather than a replacement for human judgment, with its organizational impact varying based on team cohesion. The research introduces the DORA AI Capabilities Model, emphasizing that successful AI adoption requires organizational transformation beyond technology implementation, as AI acts as both a "mirror and multiplier" that amplifies existing team strengths or weaknesses, demanding evolution in culture, processes, and systems to realize its full potential.

How Anthropic Teams Use Claude Code [35 min read]

Claude Code allows both technical and non-technical teams at Anthropic to accomplish tasks they couldn't do before, with marketing teams building automation tools and legal staff creating applications while engineers work faster in unfamiliar code. Teams report 2-10x speed improvements by letting Claude work independently on routine tasks while using checkpoints to manage more complex work collaboratively. The key to success is investing time upfront in good documentation and learning which tasks work well autonomously versus when you need to supervise Claude more closely.

9 Keys To Maintain Brand Voice Consistency [13 min read]

Internal systems and processes are essential for maintaining consistency, including training team members, creating detailed content guidelines, conducting regular audits, and implementing feedback loops to ensure everyone can execute the brand voice accurately across all channels and platforms. Authenticity and audience engagement are important for building trust and long-term loyalty, as consumers easily detect inauthentic messaging, making it vital to reflect genuine values, actively engage on social media, encourage user-generated content, and maintain transparency while adapting the voice based on audience feedback.

F* Traffic: How To Prioritize Conversion Over Vanity Metrics [2 min read]

Traditional traffic metrics are becoming obsolete and misleading in the current SEO landscape because AI search features are reducing clicks, informational content drives less value, and the search environment has fundamentally changed since pageviews became the standard success measure. SEO professionals must shift focus from vanity metrics to conversion-driven measurement using frameworks like the "Heavy Hitter" model to identify the top 20% of URLs driving actual business outcomes and bottom-line results rather than just traffic volume. Stakeholder education and expectation management are critical for maintaining SEO credibility, requiring professionals to proactively reeducate decision-makers about what success looks like in the post-AI world and provide new reporting frameworks that prove SEO value even when traditional traffic metrics decline.

How To Build Mental Strength [14 min read]

Building mental strength requires developing four core internal capabilities - self-accountability for taking responsibility for outcomes, self-knowledge for accurately assessing your competencies, self-control for managing impulses and reactions, and self-confidence for balancing earned competence with appropriate aspiration. Environmental factors and standards significantly influence mental development, as you become like the people you spend time with and the standards you accept, making it essential to choose high-quality role models and create a culture of excellence that shapes behavior through mimetic desire. Mental strength depends on consistent practice and habit formation rather than willpower alone, requiring you to build automatic positive habits, use rituals to create pauses for rational thinking, and focus on designing systems that enable small better choices to compound over time rather than relying on motivation or brute force.

The Rise Of The Content Engineer: Redefining Marketing In The Next Era [5 min read]

AI is fundamentally changing marketing from human-centered tools to agent-based systems, where AI agents can generate, optimize, and distribute content independently rather than relying on rules-based systems designed for humans like current CRMs. The "Content Engineer" is emerging as a new essential marketing role that builds and governs AI-powered content systems at scale rather than creating individual pieces, bridging the gap between marketing strategy and technical implementation like DevOps Engineers do in software. Companies must adopt content engineering capabilities now to remain competitive because manual content creation is unsustainable given current volume demands, and those treating AI as just a copywriting assistant will lose to companies that systematize AI content production at scale.

Advertising In 2030 [43 min read]

AI will become the main way advertising content gets made and how brands talk to customers, with most creative work and customer service happening through AI systems by 2030. Privacy rules will be different in every country rather than having one global system. Companies will still collect lots of personal data to customize ads for each person. People will care more about price than environmental or social issues when buying things, and new technologies like VR headsets won't catch on as much as predicted because they're too expensive.

Retargeting: A digital advertising strategy that shows ads to people who have previously visited your website or engaged with your brand. It keeps your brand visible to interested prospects who haven't converted yet. Retargeting helps bring potential customers back to complete desired actions.

Example: After browsing running shoes on a sports website, a customer sees ads for those same shoes while reading news articles on other sites.

Dark Social: The social sharing of content that occurs outside of what can be tracked by web analytics tools. This includes sharing through private messaging apps, email, or text messages. Dark social represents a significant portion of how people share content online.

Example: When someone copies a link to an article and shares it via WhatsApp with friends, this sharing activity can't be tracked like a public social media share.

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