One big thing that startups do differently to big companies is experimentation.
In reaction to the old corporate methods, startups are less like finely tuned money machines, and more like laboratories. That’s partly because of the culture of innovation, and partly because startups have less to lose by running a wrong experiment, but everything to gain if it is a success.
At Process Street, we’ve had our fair share of surprisingly positive experiments, as well as ones that were totally useless.
The more data you evaluate from other company’s experiences, the better you’ll get at running your own tests. So, in the spirit of experimentation and innovation, I’ve decided to share some of our A/B tests with you.
In this post, I’ll write up some of our experimentation results and then explore in-depth how to track and implement your own experiments so you can start improving conversions.