Posts tagged “Measurement”
Citation Share will be the most misread number in marketing this year, and Microsoft says so in its own documentation. Added to Bing's AI Performance report on June 16, 2026, it shows the percentage of citations that point to your site out of every citation shown for the same grounding query. Microsoft states plainly that it is observational: not a ranking system, not a competitive scoreboard, not traffic share, and not a quality score. Here is exactly what it counts, the four things it does not mean, and how to watch it move without overreacting.
A single ad click sets off pixels, real-time bidding auctions, hashed-email matching and server-side pipelines that survive clearing your cookies entirely. Regulators in the EU, UK, Canada and US have each ruled against parts of this system: Belgian courts found the ad-auction consent string itself is personal data, and the FTC fined BetterHelp $7.8 million and GoodRx $1.5 million for leaking health data to advertisers. This post walks through the machinery in plain language, one stage at a time.
US health systems have paid more than $30 million to settle claims that the Meta Pixel sent patient data to Facebook. The same pixel runs on Canadian practice websites today, and Canada's privacy commissioner has already found that sharing customer data with Meta without consent violates federal privacy law. What happened, why Alberta practices carry specific duties, how to check your site in five minutes, and what to run instead.
The definitive 2026 answer to 'what should I measure?' The click no longer anchors marketing value. This is the full metric stack we run, from AI visibility to revenue, each grounded in a primary source.
Part 2 of 2. If your CMS isn't the predictor, what is? Six operational practices we run across 79 WordPress sites, custom Go applications, and hosted builders. Pick any platform. The operating layer is what wins.
We monitor whether clients appear in responses from Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and five other AI platforms. The numbers are small but the baseline data matters.
When a single dental implant case is worth $20,000-50,000, you cannot afford imprecise tracking. We grew one practice's implant revenue from $300K to $800K by building airtight attribution.
A conversion tracking break that goes undetected for 30 days wastes an entire month of ad spend optimization. The pipeline works in four steps, breaks in five common ways, and catching it takes automated monitoring.
All performance data for all clients flows into one PostgreSQL database. Every number can be traced to the exact API response that produced it, and reports are reproducible at any time.
A 12-person team managing 30 clients requires significant automation. We use n8n for workflow automation and MCP for AI-assisted operations, with 240+ tools across three servers.
Marketing infrastructure breaks silently. Automated monitoring catches site errors, tracking breaks, budget overruns, and broken images in hours instead of weeks.
Choice OMG monitors 60,000+ data points daily through four independent pipelines feeding a centralized PostgreSQL database, creating an auditable chain from raw API response to client report.
Build a competitor monitoring system using open source tools like Changedetection.io, Scrapy, and AI-powered analysis.