Research, analysis, and strategic commentary on marketing attribution, AI search visibility, and data-driven performance. Published by Arcalea practitioners with active client work in each area.
Arcalea tracked 40 prompts across ChatGPT, Perplexity, Gemini, and Claude to measure which M7 business schools appear in AI-generated answers to MBA applicant queries. The composite scores reveal a 9-point gap between the top three and the bottom four, plus a platform-level split no one saw coming.
73 prompts. 247 AI responses. 15 surrogacy agencies tracked. Arcalea's surrogacy AEO Index reveals a fundamental split: of 15 agencies in the index, exactly one wins on both Google and AI. Every other agency is winning on one channel and losing on the other.
62 prompts. 21 distributors. The largest private plumbing distributor in the US operates under 60-plus regional trade names, and AI engines have no idea who they are. Arcalea's commercial distribution index documents the entity fragmentation problem hiding inside the industry's market structure.
Six global practitioners. Twelve expert-backed predictions across digital infrastructure, data architecture, AI governance, agentic workflows, and ROI frameworks. Download the D2A2 2026 Insights Report to see where enterprise leaders are placing their bets.
The three disciplines that determine which brands get cited by AI engines versus which get ignored. A structural overview of how authority is built in the AI search era.
Predictive revenue modeling connects advertising spend to projected revenue by tracing conversion paths from initial investment through customer lifetime value. Arcalea's Revenue Clarity Model structures this process into three implementation layers that any organization can deploy against existing marketing and financial data.
B2B attribution fails when organizations apply B2C logic to enterprise sales. This guide covers how to select the right multi-touch model, configure HubSpot or Salesforce to capture account-level data, measure marketing credit at every pipeline stage, and map the buying committee in ABM programs.
Marketing attribution distributes conversion credit across the touchpoints in a customer journey. There are 7 primary attribution models in use today, from first-touch to algorithmic data-driven, each producing meaningfully different channel ROI numbers from the same underlying data.
Learn how to measure marketing impact in a cookieless world. Discover strategies for first-party attribution that don't rely on third-party cookies.
GA4's Data-Driven Attribution model uses machine learning to assign conversion credit across touchpoints, a meaningful step beyond last-click. But it has real constraints that affect how reliable its outputs are for budget decisions. Here is what marketing and analytics teams need to understand before relying on it.
Google reversed its plan to deprecate third-party cookies after 4 years of announced deadlines. Apple’s ATT framework reduced measurable iOS conversion data by 30 to 50% for most advertisers. This article covers what actually changed in the privacy-first shift, which predictions came true, and how to measure advertising without relying on platform-reported attribution.
Pay-per-Click and Pay-per-Impression are the two fundamental billing models for digital advertising. PPC charges when users click; PPM (Pay-per-Mille) charges per 1,000 impressions regardless of engagement. Choosing correctly depends on campaign objective, brand recognition level, and the specific platform being used. Here is an updated comparison with 2025/2026 benchmark data.
Weekly. Opinionated. For people who make decisions with data.