The LogZuno blog
Practical articles on product analytics, event tracking, engagement, retention and the metrics teams use to decide what to build next.
Event tracking
- 23 October 2026Conversion tracking you can trustDefine one conversion, send it from the server, attribute it to the right source, and measure the steps that lead to it.
- 23 October 2026Event tracking examples for seven kinds of businessThe events worth tracking for SaaS, ecommerce, marketplaces, fintech, media, education and mobile apps, and the mistakes that make events hard to trust.
- 23 October 2026Event-driven analytics and how it worksWhy events beat pageviews and database tables for product questions, how an event model works, and how to design one that lasts.
- 23 October 2026Micro conversions, the steps before the saleThe small steps before a sign-up or purchase, which ones to track, how they show where people drop off, and how not to optimise the wrong one.
- 23 October 2026Real-time event tracking, and when seconds matterWhen seconds matter, how a live event feed works, what to put in it, and how to use notifications without drowning in them.
- 23 October 2026User activity tracking, done responsiblyWhat activity to record, how to tie it to people and accounts, how to read timelines, and how to respect privacy while you do it.
- 23 October 2026Vibe coded apps need eyes in productionWhy apps built with AI coding agents need event tracking, alerts and an MCP server, which events to add first, and how to let your agent read the results.
Growth and retention
- 23 October 2026Customer acquisition strategies backed by dataCompare channels on retention rather than sign-ups, measure what each customer costs, and find the AI-assistant channel most analytics miss.
- 23 October 2026Customer behavior analysis, a practical methodThe data you need, five analyses that explain what customers do, and how to turn findings into changes.
- 23 October 2026Power users, and what they teach youWho power users are, how to find them with a power-user curve, what to learn from them and how to help more people become one.
- 23 October 2026SaaS customer retention, measured and improvedHow to measure retention with cohorts, spot early signs of churn and drifting users, and the changes that keep customers coming back.
- 23 October 2026User journey mapping with real event dataDraw the journey you expect, measure it with events and funnels, find where people leave, and fix the step that matters most.
Metrics
- 23 October 2026Customer lifetime value, explainedThe formula, why to use gross margin, how churn sets it, how it relates to acquisition cost and the common mistakes.
- 23 October 2026DAU, WAU and MAU: active users explainedHow to define an active user, calculate daily, weekly and monthly active users and stickiness, and read the trends.
- 23 October 2026SaaS KPIs, the short list that mattersActivation, retention, engagement, expansion and churn: how to calculate each and how to set targets that lead to action.
- 23 October 2026User engagement metrics that predict retentionActive days, stickiness, core actions per user, feature breadth and engaged users, with how to measure each and what they predict.
- 23 October 2026Vanity metrics vs actionable metricsHow to tell them apart, the common vanity metrics in SaaS, and the rates and cohorts that should replace them.
Product analytics
- 23 October 2026Analytics for startups, from day oneThe few events worth tracking from day one, the three charts that matter before product-market fit, and what can wait.
- 23 October 2026Data-driven decision making for product teamsFrame the decision, pick the metric, set the threshold before you look, and know when data can't decide.
- 23 October 2026Feature creep, and how product data keeps it in checkWhy products accumulate unused features, how to measure adoption and usage per feature, and how to decide what to fix, keep or retire.
- 23 October 2026How to choose between product analytics toolsThe questions to ask about data model, pricing, history, identity, privacy and lock-in before you commit to a product analytics tool.
- 23 October 2026Product analytics best practices that hold up over timeStart from questions, name events for people, send them from the server, keep properties consistent and prune what nobody uses.
- 23 October 2026Product analytics vs web analyticsWhat each measures, the questions each answers, where they overlap and how to connect them with one user ID.
- 23 October 2026User behavior analytics for product teamsThe questions user behavior analytics answers, the analyses that matter, from funnels and retention to timelines, and how to start.
- 23 October 2026What is product analytics?What product analytics is, the questions it answers, how it works under the hood and how to start without drowning in data.
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