Marketing

My views on separating AI hype and bullshit from the real deal. The general ideas apply to past and future hype waves in tech.

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

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

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

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

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

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

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

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

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

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

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.

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

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.

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

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