I'm a performance marketer, with a little bit of a difference.
I have a background in maths and physics, and focus on using quantitative methods to help brands grow.
If you're looking to take a more mathematical approach to your marketing then great news, I'm open to freelance work. You can get in touch with me here, or you can keep reading this to learn more about me.
My background isn't really in marketing.
I grew up wanting to be a scientist, and went away to do a Bachelor's and Master's in Physics & Philosophy at Oxford University. I spent my summers working on the ATLAS detector at CERN's Large Hadron Collider, and writing finance-y code at Goldman Sachs.
I fell into marketing by accident really, but soon fell in love with the quantitative side of it.
I started out at an agency called Brainlabs, where I worked as an account manager (and then director) across a range of paid search & social accounts.
One of my highlights was teaching myself how to set up event-based conversion tracking for the first time, and using this to scale up a brand's paid social from around £10k to over £300k per month, in the space of half a year.
I also started to get interested in the more technical side of things, finding little pockets of spare time to write scripts and API queries with. I still do this a lot today, you can see some of the output of this here.
After 2 years I left Brainlabs to go and join Babylon Health just before they pulled off Europe's largest ever series B. I worked there for a year and a half, managing all the brand's digital spend across the UK & US.
Within marketing, there are a couple of topics that I'm particularly interested in.
I'm a (somewhat) competitive triathlete, training and racing mostly from Olympic to Ironman 70.3 distance. I'm currently trying to rank in the global top 2-3% for Ironman 70.3 races.
I like to build the odd web-app. Here's one I built at the start of COVID-19 pandemic, to help people across the world connect with culture during a time of lockdown. I also built this to help advertisers target their YouTube ads more effectively.
I'm currently working on a project to help advertisers build large-scale, highly-targeted search campaigns in minutes. I'm also thinking about how to help advertisers understand and measure marginal metrics better. If either of these things sound interesting, let me know!
This site is full of my writing, but if you don't like the colour yellow you can also find me on Medium.
The articles I'm most proud of are this one about market making on crypto exchanges, which has had 30k hits, and this one about calculus in marketing, which has had 10k hits and made it to position #1 on Hacker News.