KISSmetrics

Event analytics for web, mobile and more. Track human behavior, improve engagement, and drive revenue growth. Trusted by 10,000+ companies...
Lisbon, PT
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•Created byProfile pictureHendrik Rootering
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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

Event Tracking 101: Getting Started with KISSmetrics

A comprehensive beginner's guide to tracking events with KISSmetrics.


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

From Data to Decisions: Using Actionable Metrics Company-Wide

How to build a culture of data-driven decision making across your entire organization.


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

Modern GTM Stack: Workflow Architecture for Growth Teams

Design a modern go-to-market stack with integrated analytics workflows.


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

From Segmentation to Campaign: A Complete Workflow Guide

How to build workflows that automatically move users from segments to targeted campaigns.


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

AI Report Generation Workflow: Automate Your Analytics Reporting

Build automated analytics reporting workflows powered by AI.


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

Product Feedback Analytics Workflow: Turn User Input into Action

Learn how to build automated workflows that collect, analyze, and act on product feedback using analytics.


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

Automated Revenue Reporting: Workflows That Keep Leadership Informed Without Manual Work

Build automated revenue reporting workflows that pull data from analytics and billing systems and deliver formatted reports to stakeholders on schedule.


What's covered:

  • The Hidden Cost of Manual Revenue Reporting

  • Designing a Report Automation Workflow

  • Pulling Data From Analytics and Billing Systems

  • Formatting Reports Automatically

  • Scheduling Delivery: Email, Slack, and Dashboards

  • Executive vs. Operational Reports

  • Handling Ad-Hoc Requests Without Breaking Your Flow

  • Measuring the Time You Get Back

  • Key Takeaways


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

The A/B Testing Workflow: From Hypothesis to Analytics Validation

A complete A/B testing workflow that uses behavioral analytics to form hypotheses, segment audiences, measure impact beyond clicks, and feed learnings back into the next test.


What's covered:

  • Why Most A/B Tests Fail

  • Using Analytics to Form Hypotheses

  • Designing Tests with Behavioral Segmentation

  • Running Tests with Statistical Rigor

  • Measuring Beyond Conversion Rate

  • The Learning Loop: Test, Learn, Test

  • Building an Experimentation Culture

  • Tools and Integration


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

The Post-Purchase Workflow: Using Analytics to Drive Repeat Revenue

Build automated post-purchase workflows that use behavioral data to time review requests, cross-sells, replenishment reminders, and loyalty program enrollments.


What's covered:

  • The Post-Purchase Opportunity

  • Mapping the Post-Purchase Journey with Analytics

  • Timing Review Requests with Analytics

  • Cross-Sell and Upsell Based on Purchase Behavior

  • Replenishment Reminders

  • Loyalty Program Enrollment Triggers

  • Win-Back Sequences for Lapsed Buyers

  • Measuring Post-Purchase Workflow ROI


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Hendrik RooteringProfile picture@hendrikkmĀ·Mar 4

AI Anomaly Detection: Automated Workflows That Catch Problems Before Users Report Them

How to set up AI-powered anomaly detection workflows that monitor behavioral analytics metrics and automatically alert, diagnose, and respond to sudden changes.


What's covered:

  • Why Manual Monitoring Fails

  • Types of Anomalies in Analytics Data

  • Statistical Methods vs. Machine Learning

  • Building an Anomaly Detection Pipeline

  • Automated Diagnosis: What Changed and Why

  • Alert Routing and Escalation

  • Auto-Remediation for Known Issues

  • Measuring Detection Effectiveness


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