Read more from David, a Senior Product Strategist with 18+ years in digital product development and an atypical error detection knack.
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391 posts · newest firstSee which agency work AI automations should take over first, from client reporting to tracking QA, and why it fails if the data underneath is wrong.
by David PombarGA4, Google Ads, Meta, and TikTok count conversions by different rules. Align what you compare first, then look for missing, doubled, or broken events.
by David PombarCompare the local SEO tools that matter for each job: profile, rankings, citations and reviews, and learn how to measure the calls and visits they bring.
by David PombarWhat an SEM report should include, the SEM and PPC reporting tools that build it, and the check most of them skip: whether the conversions are true.
by David PombarThe SEO metrics worth tracking, from impressions and CTR to organic revenue and AI referrals: where each comes from and what breaks it.
by David PombarA fair comparison of 11 analytics validation and tag auditing tools by approach, configuration, detection speed, root cause, CI/CD and pricing, with scenarios.
by David PombarMonitor Core Web Vitals on real users: why lab scores and Search Console lag, how to measure LCP, INP and CLS by page and release, and when to alert.
by David PombarDiagnose a sudden organic traffic drop: confirm it in Search Console, rule out broken tracking, segment the loss, then match the symptom to its cause.
by David PombarDownload a free SEO audit template in Excel: 36 technical, on-page and tracking checks, a content inventory and a report tab with a sample report.
by David PombarWhat the 19 state privacy laws, Global Privacy Control, and the FTC mean for your pixels, analytics, and consent setup in 2026, with the enforcement cases.
by David PombarHow to debug Google Tag Manager with Preview Mode, extensions, the Network tab and server-side preview, and when continuous monitoring takes over.
by David PombarMaster rate of sale calculations, benchmarks, and reporting. Learn how to use ROS for smarter inventory decisions and track it reliably in your analytics stack.
by David PombarBuild a scalable event taxonomy with proven naming conventions, property schemas, and governance workflows that keep analytics data clean across teams.
by David PombarLearn how to use AI for data quality in 2026. Explore proven techniques to improve accuracy and drive real business outcomes.
by David PombarLearn what is a data pipeline, how ETL and ELT architectures work, and why observability and governance are now essential for reliable analytics.
by David PombarMaster knowledge sharing across analytics and marketing teams with frameworks, governance, and tools like Trackingplan for reliable data.
by David PombarLearn how automated root cause analysis accelerates analytics troubleshooting, reduces incident resolution time, and keeps marketing data reliable.
by David PombarWhat is federated learning? Learn how it trains AI without sharing raw data, how it works, benefits vs risks and real use cases explained.
by David PombarLearn a clear biased question definition, common types, real examples, and a practical QA checklist to detect and fix wording bias in your analytics.
by David PombarLearn how service level agreements work, what to include, and how to enforce them. A practical guide to SLAs, SLOs, and SLIs for modern teams.
by David PombarMaster running Facebook ads with a playbook on campaign structure, targeting, creative testing, tracking, and optimization.
by David PombarMaster ads lead generation with proven strategies for campaign setup, tracking, attribution, and optimization at scale.
by David PombarMaster sample size calculation for means, proportions, and A/B tests. Follow step-by-step examples, calculators, and expert tips for analytics teams.
by David PombarMaster the quality audit process for digital analytics. Learn frameworks, checklists, and automation strategies to ensure reliable data and trusted insights.
by David PombarTrackingplan
Your implementations audited around the clock with real-time, real-user data. Real-time alerts about errors or changes in your data, campaigns, pixels, privacy and consent. Let AI flag issues before they cost you.