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Plaid achieved their best-performing direct buy to date, adding $382k in pipeline, earning 70 leads, and achieving 20.1x ROI. This case study breaks down their strategy, results, and example ads. Read the
Google Ads is shifting from keyword-based campaigns to an intent-first approach. Search now works like a conversation, with AI inferring user goals and showing ads based on problems users need solved, not the words they type. Campaigns should be organized around intent, with broad match, Performance Max, and AI Max used for AI-driven placements. Landing pages must explain why and how to use a product, while rich assets and first-party data help the system learn. The change affects eligibility and targeting.
AI can feel like a helpful partner, but it drives juggling multiple tasks, running parallel threads, and constant output checks. This creates cognitive load and exhaustion. Employees report high productivity but rapid fatigue and lost sleep. Researchers recommend structured AI practices to prevent burnout and separate real productivity gains from unsustainable intensity.
‘Savage' marketing thrives on clever context and timing. Highlight why customers switch from competitors and make it visible on your homepage. Use simple hacks like a direct follow link to boost social proof. Turn common fears or frustrations into humor that punches up without looking insecure. Humanize AI or exaggerate minor competitor missteps to create shareable moments.
This technique turns familiar idioms or sayings into B2B ad headlines by swapping one word for its opposite. Start by generating a list of common phrases, then flip a key word to create a fresh, attention-grabbing twist. AI can help suggest options. Finally, pair the new headline with a CTA and brand logo. This approach makes ads feel familiar yet surprising.
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Most AI answers are shaped by third-party content you don't own—listicles, comparisons, niche publishers, and communities like Reddit.
ABM isn't a tactic, it's how enterprise customers actually buy. This webinar, on February 11, will cover which tools are worth using and how AI can speed processes without adding noise. Learn how to define audiences and buying groups and how to measure success when traditional lead metrics don't capture impact. Speakers include the CMO of Hightouch, the VP of Growth Marketing at Snowflake, and the Director of Growth Data Science at Ramp.
Webflow built a practical 29-item AEO checklist to benchmark strengths, identify gaps, and prioritize what matters as AI search evolves. It can also be exported into a CSV file.
Amazon is testing a new MCP Server that lets AI agents connect directly to its ads platform and turn simple prompts into full ad campaigns. The server translates natural language into structured campaign actions and reduces multi step workflows like account setup, reporting, and country expansion into single prompts. It supports AI platforms and works with custom AI agents, while staying compatible as Amazon APIs change. It also expands on an earlier Ads Agent tool that enabled conversational control inside the ads console.
Synthetic personas simulate user behavior using real data to speed up AI prompt tracking. They solve the cold-start problem and reduce research time and costs by up to 70%. Teams can test concepts, explore micro-segments, and filter options before real validation. Each persona is built from job-to-be-done, constraints, decision criteria, and natural language to predict query behavior. They are a tool for exploration, not final decisions, and must be validated with real users to avoid bias and false confidence.
Anthropic is building Claude as a friendly, values-driven AI. It uses warm branding, public stances, and a focus on safety to contrast OpenAI's defensive, product-first image. The company's growth is powered by a strong enterprise strategy, including token-based pricing and specialized coding tools, which give it an edge in high-value markets. Trust and brand perception act as a multiplier, making Claude a safer choice for sensitive decisions.
A list of Super Bowl ads rated from A (ie. Levi's, Anthropic) to F (ie. Coinbase, ai.com).
Low frequency streaming looks efficient because of past brand conditioning, but capping frequency erodes memory and hurts performance.