Concepts
The essential vocabulary of AI strategy and growth engineering, defined with precision and context
The plan for launching a product to market, defining target customers, messaging, channels, pricing, and competitive positioning.
Creating content optimized for Google's Discover feed, which surfaces articles to users based on interest signals rather than active searches.
Revenue minus cost of goods sold as a percentage of revenue, indicating how much profit remains after direct delivery costs for each dollar earned.
The total value of goods sold through a marketplace platform before fees, returns, and cancellations are deducted.
The percentage of recurring revenue retained from existing customers excluding expansion, measuring pure retention health.
A framework breaking down revenue changes into new customers, expansion, contraction, and churn to understand growth composition.
A detailed methodology for decomposing user or revenue growth into new, resurrected, retained, and churned components to identify true growth drivers.
Estimating the maximum achievable growth within current channels and strategies to determine when new growth vectors are needed.
Identifying the single biggest bottleneck limiting growth at any given time and focusing resources on removing that specific constraint.
A systematic approach to testing hypotheses about growth levers through rapid, measured experiments to identify what moves key metrics.
A data-driven marketing approach focused on rapid experimentation across channels and product development to find the most efficient ways to grow.
Systematically identifying all possible inputs that could drive growth, then prioritizing them by potential impact and feasibility.
Self-reinforcing cycles where the output of one growth action becomes the input for the next, creating compounding rather than linear growth.
A data-driven marketing approach focused on the full funnel from acquisition through retention, using experimentation to optimize each stage of the customer journey.
Carol Dweck's concept that abilities can be developed through dedication and hard work, essential for startup culture.
Creating quantitative models that map the relationships between inputs like traffic, conversion rates, and retention to predict growth outcomes.
The percentage increase in a key business metric over a specified period, most commonly applied to revenue, users, or traffic.
A cross-functional team combining engineering, marketing, design, and data skills focused on driving measurable growth through experimentation.
Engineering product interactions that form user habits through recurring triggers, simple actions, variable rewards, and increasing investment.
Strategic recruitment focused on building teams that can drive and sustain rapid growth across product, marketing, and sales functions.
Nir Eyal's four-step framework (Trigger, Action, Variable Reward, Investment) for building habit-forming products.
Growing by adding new products, services, or markets at the same level of the value chain, diversifying revenue while leveraging existing capabilities.
Using hreflang tags to signal language and regional targeting of pages to search engines, ensuring the right version appears for each audience.
AI system design where humans review, approve, or correct AI decisions at critical points, balancing automation efficiency with human judgment.
Architectural patterns defining when, how, and at what confidence thresholds an AI agent should escalate decisions to human operators.
Building products by forming testable hypotheses about user behavior and systematically validating them through experiments.
A prioritization framework scoring growth experiments on Impact, Confidence, and Ease to efficiently allocate resources to highest-value tests.
Protecting competitive advantages through patents, trademarks, trade secrets, and copyright while avoiding unnecessary legal costs.
The preparation process for going public, including financial auditing, governance establishment, regulatory compliance, and investor relations infrastructure.
Attracting customers through valuable content and experiences rather than interruptive advertising, building trust and organic traffic.
Experiments measuring the true causal impact of marketing activities by comparing exposed and unexposed groups to isolate genuine lift from baseline behavior.
An organization supporting early-stage startups with workspace, mentorship, and resources over an extended period to develop their business.
Controlling which pages search engines include in their index using robots.txt, noindex tags, and sitemaps to ensure only valuable pages are indexed.
Techniques for reducing the latency, cost, and resource consumption of running AI models in production, including batching, caching, and hardware acceleration.
Partnering with individuals who have established audiences to promote products through authentic content, reviews, and endorsements.
Specialized influencer strategies and best practices optimized for ai companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for cybersecurity companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for devtools companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for ecommerce companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for edtech companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for enterprise companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for fintech companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for healthtech companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for martech companies, addressing unique audience behaviors and market dynamics.
Specialized influencer strategies and best practices optimized for saas companies, addressing unique audience behaviors and market dynamics.
A framework for measuring progress in innovative ventures using actionable metrics rather than vanity metrics to validate learning.
Legal protections for creations of the mind including patents, trademarks, copyrights, and trade secrets that create competitive advantages.
Targeting customers based on demonstrated purchase intent signals rather than demographics, improving conversion rates and ad spend efficiency.
Deliberately structuring how pages link to each other within a site to distribute authority, guide crawlers, and help users discover related content.
Strategies for optimizing websites to reach audiences in multiple countries and languages, including domain structure, hreflang, and content localization.