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A Practical Model for Amplitude Behavioral Web Intelligence
A decision model for combining Amplitude analytics, zoning, heatmaps, replay, performance signals, and experiments without overstating the evidence.
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Stop Support Tickets Before They Start: How AI Unsticks Users and Lifts Conversions
Stuck users don’t just stall—they open tickets and quietly abandon funnels. By pairing behavioral analytics, session replay, and targeted in-app guides with an AI Assistant, it’s…
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Product Analytics for Retention: A Practical Operating System
Build a trustworthy retention analytics loop that connects valuable behavior, clean instrumentation, diagnosis, and controlled product experiments.
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Supercharge Core Web Vitals with Amplitude’s Global Agent: Faster Rankings, Happier Users
Core Web Vitals are a direct lever on user experience and SEO, so I use Amplitude’s Global Agent and Amplitude AI Agents to measure and improve…
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How to Validate Behavioral Heatmap Accuracy Before You Act
A practical workflow for checking screenshot fidelity, click placement, segmentation, and supporting evidence before you act on a heatmap.
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I Pointed a “Ralph Wiggum” AI Loop at My Product for a Week—The Data That Stopped Chaos
I pointed a “Ralph Wiggum loop” at my product for a week to see how an agentic AI would perform under tight guardrails. The loop moved…
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How to Scale Session Replay Without Sacrificing Privacy
A practical operating model for scaling session replay with strict capture controls, performance budgets, targeted sampling, and measurable governance.
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Amplitude MCP: Evidence-Grounded AI Workflows for Product Teams
A practical playbook for grounding product decisions, bug investigations, and AI-generated changes in Amplitude behavioral evidence, with clear decision gates.
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Evidence-Driven Product Analytics: From Signal to Decision
A practical operating system for turning behavioral signals into sound hypotheses, reliable experiments, and product decisions your team can defend.
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