Getting your CEO and other leaders to buy into re-engineering platforms is no small feat, but our guest today has done it four times! Matt Ferguson of Zeeto tells us the ins and outs of company-wide agreement on major platform retooling.
Matt is a former Montana native with a love of horses and math, the latter of which led him to into the tech world. Here about that transition and much more on today’s edition of CTO Studio.
In this episode you’ll hear:
- Why people answer questions when they are online.
- How can you break out of the software paradigm, and why should you?
- Why is retrofitting not a great strategy?
- What does it mean to “forklift out”?
- Why is the CTO role not what some people think it is?
- And so much more!
More About CTO Studio
Today Matt is the CTO of Zeeto, a company in the ad tech space. They think of their company as a bidding platform to place advertising. Both advertisers and publishers are able to sign up. Most importantly they ask a lot of questions to get your ads in front of a specific type of person, that’s how they target for you. They are the only company doing something like this right now.
As a publisher working with his company goes like this: you would imbed a specific piece of code that would then display a question’s interface. That piece of online real estate enables his company to ask questions. For example they may ask if someone is planning to travel this year, or sell their house this year, etc.
Zeeto’s revenue comes from collecting money from the advertisers and then paying the publisher, taking a small revenue share along the way.
As far as the specific technology they are using, it’s a platform that was written before he joined and was done in PHP. It was quite successful and helped the company become a multi-million dollar organization. But they decided to reinvent the tech, make it more scaleable so the company could go big – and that was why he joined the team.
They wanted to reinvent the tech because adding new features, and new ad types had become harder. Also, the data modeling wasn’t flexible enough, it wasn’t multi-tenant so they had to stand up more servers and databases for each new customer. And the cost implications of all of that was too high.