TapCub is live — analytics, insights and live chat, free on one platform

Blog Analytics, growth and chat, explained with real numbers · Page 5

Practical notes from the team building TapCub: how metrics are defined, where funnels break, what AI crawlers take from your site, and how support teams turn conversations into conversions.

All articles

Browse every article

Filter by category or search a keyword. Every article links to the report or setting it talks about.

230 articles · page 5 of 5

Demo workspace with log import. After the rule, GPTBot only fetched robots.txt.
AI SearchNov 3, 2026 · 6 min read

GPTBot: OpenAI's Four Crawlers and How to Control Each One

GPTBot is OpenAI's training crawler, one of four OpenAI agents with independent robots.txt settings. What each does, what opting out changes, rules for common goals, and how to verify and check them in your own data.

Read more
Demo workspace. Requests claiming ClaudeBot from addresses outside Anthropic's list are not verified.
AI SearchNov 3, 2026 · 6 min read

ClaudeBot: What It Crawls, How to Block It and How to Verify It

ClaudeBot is one of three Anthropic web agents. What each one does, what blocking it changes, robots.txt rules for common goals, how to verify requests against Anthropic's published IP list, and how to see ClaudeBot in your own data.

Read more
Illustrative numbers. Revenue rose because traffic and order value rose, while conversion fell.
Growth & MarketingNov 3, 2026 · 6 min read

Ecommerce KPIs: One Revenue Equation and What Moved It

Ecommerce KPIs organised around one equation: revenue = sessions × conversion rate × average order value. Compare months factor by factor, add repeat purchase and refunds, and know where each number comes from.

Read more
Demo workspace. The demo-request page rule also matches /demo-day blog posts, so its rate is inflated.
AnalyticsNov 3, 2026 · 6 min read

Conversion Tracking: Set It Up on Your Site and Count Each Once

Conversion tracking on your own site: decide what counts, record each conversion as a page goal, client event or server event, keep it from being counted twice, verify it, and keep it apart from ad-platform tags.

Read more
Demo workspace visit. The visitor is a code, not a name, until they log in.
AnalyticsNov 3, 2026 · 6 min read

Website Visitor Tracking: Four Layers and What Each Can See

Website visitor tracking in four layers: aggregate counts, sessions and paths, identified users after login, and company identification. What each layer sees, what it needs, and where privacy changes what you should collect.

Read more
Illustrative numbers. Growth comes from new sales; the existing base shrank slightly (NRR below 100%).
Growth & MarketingNov 3, 2026 · 6 min read

SaaS Metrics: One MRR Bridge and the Ratios Built on It

SaaS metrics tied together by one MRR bridge: new, expansion, reactivation, contraction and churned MRR, with NRR, GRR, quick ratio and CAC payback computed from it, and the product signals that lead each line.

Read more
Sample workspace. Never-bought visitors need a different KPI (first purchase rate).
AnalyticsNov 3, 2026 · 6 min read

Customer Segmentation Analysis: Five Steps from Question to Action

Customer segmentation analysis in five steps: start from a decision, choose variables you can observe, compare segments on the same KPI, check size and stability, then act and measure again.

Read more
Sample workspace. Shaded rows are deep pages that are unlikely to be typed in, a sign of lost sources.
AnalyticsNov 3, 2026 · 6 min read

Direct Traffic: What Ends Up in It and How to Shrink It

Direct traffic is where visits land when the source is lost. Read the landing pages inside it to separate real direct visits from untagged email, apps and stripped referrers, then fix each cause.

Read more
Sample workspace with made-up targets and spend. Each owner has one KPI that sits in the revenue tree.
Growth & MarketingNov 3, 2026 · 6 min read

Marketing KPIs: Build a Tree from Revenue Down to Each Channel

Marketing KPIs organised as a tree from revenue down to channel inputs, with one primary KPI per channel owner, platform numbers kept apart from outcomes measured on your site, and a review cadence.

Read more
Illustrative tracking plan. Behaviour from the browser, outcomes from the server, never both.
AnalyticsNov 3, 2026 · 6 min read

Server-Side Tracking: What to Send from the Server, and What Not

What server-side tracking is good for and what it is not, how to split events between browser and server, and how to keep sessions and attribution connected without double counting.

Read more
Illustrative numbers. Same formula, different denominators; compare CTR only within one row type.
AnalyticsNov 3, 2026 · 6 min read

How to Calculate CTR: One Formula, Four Different Denominators

How to calculate click-through rate for ads, search results, emails and on-site buttons, with worked examples, the denominator each one uses, CTR vs conversion rate, and what inflates the number.

Read more
Sample workspace. Growth and retention held; crash-free users and cold start worsened after a release.
AnalyticsNov 3, 2026 · 6 min read

Mobile App KPIs: A Short List with Exact Counting Rules

Mobile app KPIs grouped into growth, engagement, retention, quality and revenue, with the counting rules that change the numbers and how to read them by app version and install channel.

Read more
How the four data types differ in source and control.
AnalyticsNov 3, 2026 · 6 min read

First-Party Data Strategy: Collect for Decisions, Keep Less

A practical first-party data strategy: what counts as zero-, first-, second- and third-party data, how to plan collection around decisions, identity and consent choices, and minimisation and retention defaults.

Read more
Sample ledger. A retry is ignored by order id, a refund is kept separate and an unconvertible order is flagged.
AnalyticsNov 3, 2026 · 7 min read

Revenue Tracking with Events: Purchases, Refunds and the Metrics They Feed

How to track revenue in analytics with events: which purchase and refund events to send, from where, the properties that matter, deduplication and currency, and the revenue metrics you get from them.

Read more
Sample workspace. Two quality rows turned red after a release; they set the agenda for the week.
Growth & MarketingNov 3, 2026 · 6 min read

Product Health Metrics: A Weekly Scorecard That Includes Quality

Product health metrics in five areas (growth, engagement, retention, quality, satisfaction) on one weekly scorecard, with thresholds that turn a number amber or red and a routine for reviewing it.

Read more
Sample PLG funnel. The largest relative drop is between sign-up and activation.
Growth & MarketingNov 3, 2026 · 6 min read

Product-Led Growth Metrics: One Funnel from Visitor to Expansion

PLG metrics as one connected funnel from visitor to expansion: the event behind each metric, how to define a product-qualified lead from usage, and how to measure team products by account.

Read more
Sample workspace. Three of seven numbers fail the test: they are cumulative or have no decision attached.
AnalyticsNov 3, 2026 · 6 min read

Actionable Metrics: A Test, Rewrites and Decision Rules

How to tell an actionable metric from a vanity metric with five questions, rewrites of common vanity metrics, and the decision-rule format that turns a dashboard number into an action.

Read more
Sample workspace. Activated trials drop in week 5–6; new paying customers follow about four weeks later.
Growth & MarketingNov 3, 2026 · 6 min read

Leading vs Lagging Indicators for Product and Growth Teams

Leading vs lagging indicators with product and website examples by funnel stage, a method to find and validate a leading indicator in your own data, and how to alert on it.

Read more
Illustrative numbers. Churn and retention mirror each other only with one group, one period and one denominator.
Growth & MarketingNov 3, 2026 · 6 min read

Churn Rate vs Retention Rate: When They Add Up and When They Do Not

Churn and retention look like two sides of one number, but they only add up to 100% in one case. Worked scenarios for customers, revenue and user cohorts, plus net revenue retention and annual churn.

Read more
Sample workspace. Newer cohorts retain better in week 1 and 2 after an onboarding change.
Growth & MarketingNov 3, 2026 · 6 min read

Retention Metrics: Which Rate to Use and How to Calculate It

The retention metrics that actually differ, how to calculate retention rate with a worked example, the counting choices that change the number, and which metric fits which business.

Read more
Sample workspace. Breadth is only one dimension; check how often and how long each group uses a feature.
Growth & MarketingNov 3, 2026 · 6 min read

How to Measure Product Adoption, Feature by Feature

How to measure product adoption with events: how it differs from activation, the four dimensions of feature adoption, choosing the right denominator, and account-level adoption for B2B products.

Read more
Sample onboarding funnel. The biggest drop is at installation, where a developer is often needed.
Growth & MarketingNov 3, 2026 · 6 min read

User Onboarding Metrics: Activation, Time to Value and the Funnel

Onboarding metrics for software products: how to define activation and test it, build the onboarding funnel from events, measure time to value, and tie onboarding to retention.

Read more
Sample workspace. The channel with the most visitors converts worst and costs the most per sign-up.
Growth & MarketingNov 3, 2026 · 6 min read

Acquisition Metrics: How to Measure Each Channel, Not Just Traffic

Acquisition metrics in three layers (volume, quality, cost), measured per channel and joined to sign-ups and revenue, plus why channel numbers never agree between tools.

Read more
Sample workspace. Compare engagement between pages with the same job.
AnalyticsNov 3, 2026 · 6 min read

Engagement Metrics: What to Measure on a Site and in a Product

Engagement metrics for websites and products with formulas and blind spots, how engaged sessions are counted, and how to raise user engagement without gaming the number.

Read more
Sample workspace. Returning visitors read more and convert at about twice the rate of new visitors.
AnalyticsNov 3, 2026 · 7 min read

New vs Returning Users: What the Split Means and Why It Lies

How analytics tools decide whether a visitor is new or returning, why the two groups never add up to the total, what makes returning people look new, and how to use the split.

Read more
Event Tracking: How to Set It Up in 5 Steps
AnalyticsNov 3, 2026 · 7 min read

Event Tracking: How to Set It Up in 5 Steps

Event tracking records the actions a pageview misses: sign-ups, clicks, purchases. A five-step setup with a starter event plan, naming rules, code, automatic events and a verification checklist.

Read more
Sample workspace. Engaged sessions follow sessions closely; weekends dip in both.
AnalyticsNov 3, 2026 · 8 min read

Analytics Metrics: 12 Website Metrics, Formulas and Traps

The 12 website analytics metrics worth reporting, grouped into traffic, engagement, conversion and quality, each with its formula, what it tells you and the trap that makes it misleading.

Read more
Sample weekly dashboard from the demo workspace. Numbers are illustrative.
AnalyticsNov 3, 2026 · 8 min read

Analytics Dashboard: What to Put on It, by Role (Template)

An analytics dashboard should answer one person's recurring question on one screen. Layouts by role, a weekly website template, six build steps and the mistakes that make dashboards lie.

Read more
Sample from the demo project. The compliance page fetches both files and compares robots.txt rules with real fetches; llms.txt fetch counts come from your server logs.
AI SearchUpdated NovSep 17, 2026 · 8 min read

llms.txt: what to write, an example, and how to check whether anyone reads it

What llms.txt is and is not, the structure the proposal defines, a real example, how it should agree with robots.txt, and how to check in your server logs whether AI agents fetch it.

Read more
Sample inbox from the demo project. Suggested names are tagged Rule or AI; counts are hits over 7 days.
Product NewsUpdated NovAug 13, 2026 · 8 min read

Event naming conventions: rules, mistakes, and how the event inbox drafts names

A practical event naming convention (object_action, snake_case, past tense), the mistakes that break it, and how TapCub’s event inbox turns autocaptured clicks into named events you accept, merge or ignore.

Read more
Sample conversation from the agent’s side, demo data. Each visitor message shows the original and a translation.
Live ChatUpdated NovJul 2, 2026 · 7 min read

Cross-border customer support in chat: translation, hours and what to write yourself

How two-way translation works in live chat, what it does not translate, how to cover hours and assignment, and how to tell whether cross-border conversations actually improved.

Read more
Sample exit criteria for a four-week parallel run.
AnalyticsUpdated NovJun 9, 2026 · 9 min read

How to migrate from Google Analytics 4: an 8-step checklist

Migrations fail on definitions, not on snippets. Eight checks in order, from the event inventory and metric mapping to the parallel run, history export and the day you remove the old tag.

Read more
Sample rule from the demo workspace. Retire lines whose reply rate stays low.
Live ChatUpdated NovMay 14, 2026 · 9 min read

Proactive chat best practices: triggers, copy and limits that don't annoy

Proactive chat works when it arrives at the moment of a real question. Triggers, invite copy, frequency limits, staffing and how to measure whether invites lift conversion.

Read more
Sample workspace. Retention dropped about five points while its neighbors held: that is the first lever.
Growth & MarketingUpdated NovApr 16, 2026 · 8 min read

AARRR metrics: what to measure at each stage, and which stage to fix first

AARRR metrics for every stage with formulas, a worked example in people, examples for SaaS, stores and content sites, and how to pick the one stage worth fixing first.

Read more
Sample workspace. Highlighted row: the operator that sends the most people per read.
AI SearchUpdated NovMar 26, 2026 · 9 min read

How to block AI crawlers: user agents, robots.txt rules and how to check them

GPTBot, ClaudeBot, Google-Extended and the rest do different jobs. Which AI crawlers to block, the robots.txt rules to use, what to enforce at the server, and how to check it worked.

Read more
Sample comparison during a parallel run. The gap is the share of visitors who declined cookies.
AnalyticsUpdated NovMar 5, 2026 · 8 min read

Cookieless vs cookie-based analytics: accuracy, consent and what changes

Cookieless vs cookie-based analytics compared: how each counts visitors, where each goes wrong, what the law says about consent, and what to check when you switch.

Read more
Sample workspace. The two spikes in the dashed line are crawler days; the human line does not move.
AnalyticsUpdated NovFeb 12, 2026 · 10 min read

Why analytics tools show different numbers: 8 causes and a reconciliation checklist

Two analytics tools on one site never print the same visitor count. Here are the eight causes, a worked example of where the gap goes, and a checklist to reconcile them.

Read more
Sample funnel. The biggest drop is between checkout and payment, not at the top.
AnalyticsUpdated NovJan 20, 2026 · 9 min read

Conversion funnel optimization: find the step that matters and fix it

A five-step method for conversion funnel optimization: measure the funnel correctly, find the step that matters, size the gain, diagnose why people leave, then fix and verify.

Read more

See your data clearly. Find your growth.

Every click, backed by data. Install one line of code and see your first numbers in a minute.

No credit card · Free plans for analytics and chat · Cookieless analytics