Insights

Knowledge Hub

Articles, field notes and technical recipes about growth, product, analytics, data, automation and visibility. Most of what I write starts with a real problem I had to understand, build or fix.

Browse by growth area

One library. Five ways of looking at growth.

The categories overlap on purpose. A conversion problem can become a data problem; an acquisition problem can become a product problem. These are useful lenses, not silos.

Latest articles

Articles and practical guides.

Open the original blog archive →
Field Notes

What I learned while doing the work.

Shorter notes from projects, investigations and experiments. Client names and confidential details are removed; the useful lesson stays.

View Field Notes archive →
01
1 Sept 2026

Never Underestimate Simplicity

Clear and simple communication sounds simple but it is one the hardest skills to master. Yet the payoff is huge.

02
25 Aug 2026

I built my first route map

I built my first route map using QGIS, OpenStreetMap and openrouteservice, and explored how geospatial data can create value across different industries.

03
2 Aug 2026

How I Turned Mexico’s DENUE API Into a National Excel Dataset With Python

How I used INEGI’s DENUE API, SCIAN codes, pagination, retries and a bronze-layer design to build a nationwide Excel dataset in Python.

04
28 Jul 2026

How to Make Your Website Load Faster: 3 Ways to Improve FCP

Make your website feel faster by reducing request chains, preloading critical resources and delaying files that are not immediately needed.

05
24 Jul 2026

How I Fixed a Broken Funnel Caused by JavaScript Loading Order

How I traced a mobile-only production failure to JavaScript execution order, WordPress optimization, and a hidden dependency between two scripts.

06
22 Jul 2026

Separate Website Analytics in GA4 If Websites Are Not Sharing User Experience

A practical GA4 and Google Tag Manager tutorial using a fictional two-pet-shop example to explain property structure, cross-property contamination, diagnosis, risks, and safe fixes

07
20 Jul 2026

You Own Your Own Effort

Hard work pays off. Keep pushing, keep learning.

08
18 Jul 2026

How Deep Analytics Work Fixed Product Bugs

While working on improving conversion rates for an eCommerce online funnel, I found out a real analytics implementation bug.

09
18 Jul 2026

What Finance Taught Me About Fixing Conversion Funnels

Not all the data is equally important. Not all the website changes are crucial to lift conversion rates and, most importantly, correlation is not causation.

10
13 Jul 2026

How to Analyze a Funnel Without Drowning in the Details

Some thoughts and tips on managing large web analytics accounts for large clients.

Technical Resources

The Technical Growth Cookbook.

Ten practical chapters covering measurement, browser diagnostics, performance, search, large-scale data workflows and decision systems.

Open full cookbook →
Chapter 01 1 recipe

Campaign Tracking & UTM Systems

Recipes for campaign URLs, UTM parameters, traffic splitting, QR tracking, attribution labels, and cleaner marketing measurement.

UTMsCampaignsA/B testing
Chapter 02 Planned

Analytics QA & Conversion Measurement

Recipes for validating events, conversions, forms, funnels, click tracking, and analytics data quality.

GA4EventsConversions
Chapter 03 Planned

SEO Growth & Audit Automation

Recipes for automating technical SEO checks, metadata reviews, SERP analysis, indexability checks, and growth diagnostics.

SEOAuditsSERP
Chapter 04 Planned

Crawling, Broken Links & Redirect Logic

Recipes for detecting broken links, redirect chains, 404s, old CMS URLs, internal linking gaps, and migration issues.

Redirects404sCrawling
Chapter 05 2 recipes

Rendering, JavaScript & Browser Diagnostics

Recipes for inspecting scripts, third-party resources, rendering issues, loaded assets, browser behavior, and DevTools checks.

JavaScriptDevToolsRendering
Chapter 06 Planned

Core Web Vitals & Performance Diagnostics

Recipes for LCP, INP, CLS, image delivery, render-blocking resources, page speed, and template-level performance issues.

LCPINPCLS
Chapter 07 Planned

Search Console, SERP & Search Demand Analysis

Recipes for Search Console exports, SERP API data, query clustering, CTR analysis, demand patterns, and search visibility.

GSCSERP APISearch demand
Chapter 08 Planned

Internal Linking & Site Architecture Graphs

Recipes for internal link analysis, topic clusters, orphan pages, anchor text, related pages, and graph-based site structure.

Internal linksArchitectureGraphs
Chapter 09 Planned

Large-Scale Data Workflows with Python, Polars & Cloud

Recipes for large CSVs, Parquet, Polars, lazy queries, cloud storage, partitioned datasets, and performance-aware analysis.

PythonPolarsCloud
Chapter 10 Planned

Reporting, Visualization & Decision Systems

Recipes for KPI tables, scorecards, audit priority matrices, decision memos, charts, and executive reporting.

ReportingDashboardsDecisions
The point of the library

Understand the problem. Build something useful. Share what worked.

The same principle runs through the articles, Field Notes and technical recipes: start with a real business question and use the tools that help answer it.

Talk through a problem