LinkedIn is a teachable skill

An high-level overview of things I learned from Justin Welsh’s LinkedIn Operating System course.

April 11, 2024

Psychographic specialisations may work for discipline generalists

When focusing on a market segment defined by personal beliefs, it’s often fine to position yourself as a generalist in your craft.

January 9, 2024

The power of parasocial relationships

Repeated exposure to media personas creates relationships that help justify premium fees.

January 8, 2024

Artificial intelligence was a marketing term all along – just call it automation

Replacing ‘artificial intelligence’ with ‘automation’ is a useful trick for cutting through the hype.

October 6, 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 2)

A summary of the second chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

August 17, 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 1)

A summary of the first chapter of Rob Walling’s Start Small, Stay Small, along with my thoughts & reflections.

August 16, 2023

Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials

Epidemiologists analyse clinical trials to estimate the intention-to-treat and per-protocol effects. This post applies their strategies to online experiments.

January 14, 2022

My work with Automattic

Back-dated meta-post that gathers my posts on Automattic blogs into a summary of the work I’ve done with the company.

October 7, 2021

Customer lifetime value and the proliferation of misinformation on the internet

There’s a lot of misleading content on the estimation of customer lifetime value. Here’s what I learned about doing it well.

January 8, 2017

If you don’t pay attention, data can drive you off a cliff

Seven common mistakes to avoid when working with data, such as ignoring uncertainty and confusing observed and unobserved quantities.

August 21, 2016

Is Data Scientist a useless job title?

It seems like anyone who touches data can call themselves a data scientist, which makes the title useless. The work they do can still be useful, though.

August 4, 2016

This holiday season, give me real insights

Some companies present raw data or information as “insights”. This post surveys some examples, and discusses how they can be turned into real insights.

December 8, 2015

SEO: Mostly about showing up?

Increasing SEO traffic to BCRecommender by adding content and opening up more pages for crawling. It turns out that thin content is better than no content.

December 15, 2014

BCRecommender Traction Update

Update on BCRecommender traction using three channels: blogger outreach, search engine optimisation, and content marketing.

November 5, 2014

Applying the Traction Book’s Bullseye framework to BCRecommender

Ranking 19 channels with the goal of getting traction for BCRecommender.

September 24, 2014