This canonical post covers everything from GTM Clients and endpoints to data validation and custom domain setup. Simo Ahava walks through how GTM Server works under the hood, providing developers with the context and tooling to implement it confidently.
Dive deeper into Business
Business models, unit economics, and strategic frameworks
This article argues that powerful ideas, even if imperfectly measured, are more useful for business decision-making than perfect measures for less impactful ideas. It discusses the importance of focusing on high-leverage metrics and acknowledging the limitations of data, rather than getting overly bogged down in pursuit of perfect measurement.
This article discusses the data-informed product cycle, which involves translating high-level strategy into models, testing hypotheses, and iterating based on data. It covers key topics like freemium, free trials, usage-based pricing, activation metrics, and product-qualified leads (PQLs).
Establishing the core foundations for a successful go-to-market strategy, including defining the ideal customer profile, target market segments, and aligning the product's value proposition with the right sales and distribution channels.
Dive deeper into Technology
Tracking implementation, server-side analytics, and technical best practices
An overview of the various privacy modes and consent management features in Piwik Pro, a popular web analytics platform. Covers techniques for enabling session-only tracking and ensuring compliance with GDPR and CCPA regulations.
Techniques and best practices for implementing client-side data tracking on web and mobile applications, including SDKs, virtual URLs, element selectors, event throttling, and handling browser quirks like ad-blockers and ITP/ETP.
This article provides an introduction to server-side tracking, highlighting the potential benefits and drawbacks of this approach compared to traditional client-side tracking. It covers the technical aspects of server-side data collection, including latency, schema, and cost trade-offs, as well as the implications for data privacy and compliance.