product-led growth
- AI Strategy (315)
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Cut Time to Value, Boost Retention: My Proven Playbook for Activation, Growth, and Loyalty
Time to value is the strongest early signal of long-term retention and efficient product-led growth. By mapping a Minimum Path to Value, removing friction with smart…
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Win AI Search: Proven Playbook to Get Your Startup Recommended by ChatGPT & Perplexity
AI search is becoming the new homepage for startups, and the brands that win are the ones models can clearly identify, verify, and cite. In this…
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The Product Playbook: Measuring Agent Performance with Pendo and Agent Analytics to Drive ROI
Measuring agent performance isn’t just about faster responses—it’s about creating a continuous feedback loop between product and support. By pairing Pendo’s product analytics with Agent Analytics,…
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Your Ultimate ProductCon San Francisco 2025 Guide: Best Hotels, Eats & Drinks
Plan your ProductCon San Francisco 2025 trip like a product pro. I share a proven, outcomes‑first approach to choosing the right hotel in SoMa, Union Square,…
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How to Connect Product Activation to Growth Economics
A practical model for defining activation, validating customer value, diagnosing funnel leaks, and deciding when acquisition is ready to scale.
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Global Product Manager Playbook: Build Borderless Products, Align Teams, Win Every Market
Building products without borders isn’t a launch plan—it’s a system. In this playbook, I share how a Global Product Manager aligns product strategy, localization, pricing, and…
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What I Learned from Trainline’s Agentic AI: Building a Trusted Travel Assistant at Scale
Agentic AI only works at scale when orchestration, tools, and guardrails are designed together. Trainline’s approach demonstrates how to pair scalable reasoning with deep domain context,…
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Why We’re Building Our Next AI R&D Hub in Berlin—and Hiring 100 to Power Fin’s Growth
We’re opening our next AI R&D hub in Berlin to accelerate Intercom and our AI Agent, Fin, and we plan to hire 100 people across engineering,…
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Beyond Digital: How AI Transformation Builds Adaptive, Intelligent Organizations That Win
AI transformation isn’t a tool rollout; it’s an operating model shift toward adaptive, intelligent systems that learn from every interaction. The payoff comes from aligning AI…
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How to Build an AI-Powered SaaS Customer Lifecycle
A practical model for using AI across SaaS onboarding, support, retention, and expansion without fragmenting data, ownership, or trust.
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Build a Pendo Lifecycle Engine for Retention and Revenue
A practical operating model for using Pendo signals, in-app guidance, CRM workflows, and experiments to improve activation, retention, and expansion.
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A Product-Led Release Strategy That Turns Shipping Into Adoption
A practical operating model for defining release outcomes, targeting in-product journeys, measuring adoption, and expanding only when evidence holds.
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Inside Japan’s AI Marketing Shift: How 500 Teams Boost Efficiency, Results, and Careers
New research from Japan underscores how AI, anchored in disciplined analytics, is accelerating marketing efficiency, measurable results, and career growth. I break down why a unified…
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Turn Product Insight Into Growth: A Practical Decision Loop
A practical loop for combining behavioral data, contextual surveys, and focused experiments to improve product activation and retention.
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In-App Guidance for SaaS Adoption: A Practical System
Learn how to choose, target, measure, govern, and retire in-app guidance so SaaS users adopt valuable behaviors without added product noise.
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Product Analytics for Retention: A Practical Operating System
Define retention correctly, trust the instrumentation, find where value breaks, and turn weekly cohort reviews into focused product decisions.
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Developer-First Platform Growth: From Utility to Ecosystem
A practical operating model for turning a focused developer utility into a platform without sacrificing activation, trust, or product-led growth discipline.
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A Practical System for Startup Discovery, Validation, and Growth
A practical system for turning startup assumptions into falsifiable tests, reading real demand, and sequencing growth around the tightest constraint.
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How to Combine Product-Led and Partnership-Led Growth
A practical framework for sequencing self-service adoption, partner distribution, integrations, and enterprise expansion into one growth system.
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A Decision System for Product Discovery, Strategy, and Growth
A practical system for turning customer evidence, strategic constraints, and growth pressure into focused product bets and faster decisions.
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Browse topics
- AI Strategy (315)
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