Built the data and analytics function from zero — and used it to back a major launch.

I built the analytics function from nothing at a consumer software company, then started the MarTech team it grew into.

Set up the company's reporting, grew the team from 1 to 10, and used the numbers to back a major subscription launch.

MacPaw · full-time · macpaw.com

Context

A consumer Mac software company about to launch a subscription service in a market used to one-time purchases. There was no analytics function and no habit of testing — the bet needed both.

The problem

Stand up the whole data function — the systems, the reporting, and the team — and use numbers to pressure-test the launch before spending big.

What I did

• Designed and shipped the company's internal reporting platform
• Built the marketing-analytics function, with both analysis and data-science sides
• Grew the team from 1 to 10
• Modeled the launch economics and ran a steady stream of tests

Results

• Handled huge volumes of data across five products and millions of users
• The subscription service launched with the numbers to back it
• The analytics team became a permanent part of the company
• Regular testing became a standard across the product org

Skills used

Redshift, AWS, ETL, Monte Carlo, BI

Next

Next case: DOGER. If you have a similar problem, see how I work with clients, read the about page, or get in touch.