behavioral analytics
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Turning Pendomonium Insights Into a Product Growth System
A practical system for turning Pendomonium sessions, expert input, and peer conversations into measurable onboarding and activation experiments.
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Connecting Amplitude Positioning to Product-Led Growth
A synthesis of how technical proof, behavioral evidence, growth experiments, and shared metrics can connect Amplitude’s positioning to product-led growth.
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Supercharge Insights with Amplitude Agent Connectors: Connect Notion, Slack, Linear & More
When insights and actions live in different tools, teams lose speed and clarity. Amplitude’s Agent Connectors help by uniting Notion, Atlassian, Slack, Linear, and more with…
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A Reliable Amplitude AI Workflow for Product Decisions
Build Amplitude AI analyses stakeholders can trust by controlling context, checking evidence, and turning findings into accountable product decisions.
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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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An AI Operating Model That Measures Outcomes, Not Activity
A practical way to connect AI quality, customer behavior, revenue, risk, and delivery metrics so teams know what to scale, fix, or stop.
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Analytics-Led Growth Engineering: A Practical Operating Model
Build a growth engineering system that connects trusted behavioral data, focused experiments, safe releases, and durable activation and retention gains.
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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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Behavioral Customer Data for Proactive SaaS Retention
Learn how to turn behavioral customer data into clear risk reasons, timely retention plays, and a weekly product and customer success operating loop.
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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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Governed AI Analytics in Financial Services: A Playbook
A practical operating model for deploying AI analytics with clear data boundaries, human review, audit evidence, and measurable business value.
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No More Accidental Agents: How We Engineered Global Agent’s Helpful, Curious Personality
Most AI agents inherit accidental personalities from prompts and defaults. We took a different path, treating personality as a measurable product surface and optimizing it with…
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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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From Vision to Execution: Building Agentic, Data‑Driven Products with Real‑World Rigor
Agentic AI demands more than dashboards—it requires a system that observes, reasons, and acts with measurable impact. I connect behavioral analytics to action by pairing Amplitude-style…
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How to Run AI-Assisted Feature Launches That Drive Growth
A practical operating model for using agents, feature flags, behavioral data, and decision rules to turn each feature launch into a measurable growth loop.
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How a Digital Analytics Visionary Shapes My Product Strategy for Growth, Retention & Monetization
Data is my compass for product decision-making, and I operationalize it through behavioral analytics, rigorous A/B testing, and continuous discovery. I start by mapping user journeys…
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How to Build a SaaS Retention and Expansion System
Build a closed-loop SaaS system that turns product, support, CRM, and billing signals into measurable retention and expansion playbooks.
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4 Costly Agent Analytics Myths—And the Data-Backed Metrics I Rely on Instead
Agent Analytics can mislead when we over-index on speed, containment, or early green dashboards. I share four common myths I see in human and AI agent…
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How to Link AI Evals to Retention Without Chasing Proxies
A practical playbook for finding early AI quality signals that predict retention, validating causality, and turning them into product decisions.
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Browse topics
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