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Beyond Last Click: Incrementality, MMM, and LTV in a Post-Attribution World
Last-click attribution was always a simplification. In a fragmented, cross-device, multi-platform environment with significant data loss, it is actively misleading. Here is how to build a measurement approach that tells you what is actually working.
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First-Party Data and Privacy-Safe Measurement: What Actually Works
The era of third-party cookie tracking is over in practice, even if not yet in every spec. Here is how to build a measurement infrastructure that survives browser restrictions, iOS updates, and EU compliance requirements without breaking your ad performance.
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TikTok as a Performance Channel: What the Data Actually Shows in 2026
TikTok is no longer just a brand awareness play. For the right product categories, it is a full-funnel performance channel with economics that can rival Meta. Here is what the channel does well, where it struggles, and how to build creative that converts.
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Meta Advantage+: Why Creative Is Now the Only Targeting That Matters
Manual audience targeting in Meta is not just declining in effectiveness. It is being systematically replaced. Understanding what Advantage+ actually does, and how to operate within it, is now the core Meta skill.
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Performance Max and Search in 2026: Running Both Without Cannibalizing Either
Performance Max and Search are not designed to coexist cleanly. Here is how the two interact, where each one belongs, and the structural decisions that keep them from competing against each other.
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GEO for B2B: How to Get Recommended by ChatGPT, Perplexity, and Google AI When They Answer Instead of You
Your next B2B client may never search Google for you. They will ask an AI. GEO visibility depends on entity recognition and citation authority, not keyword ranking. Here is the practical framework: how LLMs decide who to recommend, how to build entity recognition, what content formats get cited, and where to start this week.
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The Black Box Problem: When Automation Hides What Is Actually Happening
Automated campaigns can improve performance and mask problems at the same time. Understanding what signals platforms use, and what they hide, is the foundation of intelligent automation management.
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The ROAS Number in Your Dashboard Is Not Real: How to Measure What Actually Happened
Every platform overcounts conversions, and they are all technically correct by their own methodology. This is why your Google Ads ROAS, Meta ROAS, and GA4 attribution add up to more than twice your actual revenue. Here is why it happens, what MER is and why it matters, and a 5-step measurement reset you can implement this month.
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Performance Max: What Google Doesn't Show You and How to Take Back Control
Most PMax guides explain what the campaign type is. This one explains what to do when the interface gives you almost nothing to work with: asset group structure, search themes, audience signals, the three exclusion layers nobody sets, and how to run PMax alongside Search without letting it cannibalize your existing campaigns.
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AI-Native Campaign Structure: What It Actually Means for Performance Marketers
The shift from AI-assisted to AI-agent advertising is happening faster than most marketers realize. Here is what changes, what you keep control of, and what the new role of the performance marketer actually looks like.
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AI Max for Search Campaigns: A Practitioner's Guide
A practitioner's guide to AI Max for Search campaigns. What it is, how it differs from Performance Max, how to set it up correctly, and what performance changes to expect based on real account data.
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