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Data Foundation & Measurement
GA4, GTM, and CRM pipeline repair paired with multi-touch attribution and MMM. We fix your tracking before we trust it, then build attribution on a foundation that holds.
Explore →Marketing Analytics Consultancy
King Data Lab connects complex data engineering to high-level marketing strategy, turning messy data into clear decisions and reliable revenue.
What we do
We don't run ads or manage agencies. We fix the data infrastructure, model what's working, and tell you exactly where to put the next dollar.
GA4, GTM, and CRM pipeline repair paired with multi-touch attribution and MMM. We fix your tracking before we trust it, then build attribution on a foundation that holds.
Explore →
LTV forecasting, customer propensity models, and CAC optimization. Predictive analytics built around your actual business model, not industry averages.
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Cross-channel budget reallocation grounded in saturation modeling and incrementality testing, with a prioritized roadmap your team can execute immediately.
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Semantic intent mapping and content strategy built for both traditional search and AI discovery, so your brand gets found however buyers are searching.
Explore →Our process
No retainer ambiguity. Every engagement ends with something concrete you can act on immediately.
We review your full tech stack and tracking implementation to surface critical data gaps, attribution failures, and quick wins.
We execute the right-sized plan, whether that means fixing tracking pipelines, deploying dashboards, or running predictive forecasts on your existing stack.
We convert your new data foundation into clear stories, prioritized action items, and repeatable frameworks your team can run independently.
Free tools
Interactive tools that give you a real answer, then show you what a deeper engagement looks like.
Upload your spend data and get a mathematically optimized budget reallocation, channel saturation curves, and a 24-month revenue forecast, all in one session.
Launch Fusion →
Evaluate your data maturity across governance, reporting automation, and full-funnel visibility in under five minutes.
Start check →
Build clean, consistent UTM parameters and validate existing ones against your governance standards before campaigns go live.
Build UTMs →
Assess whether your current stack can support multi-touch attribution before you invest in modeling infrastructure.
Check readiness →The Partner Journal
Practical guides and strategic deconstructions to help you extract more value from your marketing data.
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Every marketing platform has a reporting problem. Not a technical one. A financial one. When Meta reports that your campaign drove 847 conversions last month, they are using…
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Marketing Insights & Strategy Stop Guessing Your ROAS: How Changing Your Attribution Model Flips Reality March 26, 2026 • By Reagan King If you want to start an…
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Analytics & Reporting Stop Dashboarding Just to Dashboard: Why Most Reports Gather Dust January 28, 2026 • By Reagan King We see it constantly. A marketing team wants…
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Local Market Strategy Prioritizing Growth: Turning HVAC Operations Data into a Strategic Roadmap Updated May 22, 2026 • By Reagan King Most HVAC business owners have a deep,…
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Data Science & Analytics Multi-Touch Attribution in Practice: What You Can Build With the Data You Have Updated March 10, 2026 • By Reagan King This post builds…
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Marketing Analytics Marketing Attribution Explained: Models, Myths, and What’s Actually Possible Updated February 24, 2026 • By Reagan King Attribution in the marketing world has become this overly-complicated…
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