![Ken H.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ken H.")
KH

Ken H.

Product Manager

Computer Software

Small-Business (50 or fewer emp.)

8/21/2017

"Go as deep and technical as you need to go"

5/5

What do you like best about Convert Experiences?

I've got 2 "bests":

1. Their support is personable and head and shoulders above every other experimentation suite I've used.

2. The depth and capabilities of their tools for experimentation just blew me away. They knew that one size does \_not\_ fit all, and have provided so many places to inject a script at runtime to be able to decide when and how to run an experiment. This is so huge for me because the app I experiment on is written with wildly changing view layers. The specific feature I'm describing is called "JS Conditions" or DMP Profiling. Review collected by and hosted on G2.com.

What do you dislike about Convert Experiences?

There's honestly not much I dislike. If you want to get into the DMP stuff, it can be a bit intimidating if you're not a Javascript programmer, but their support and documentation are stellar. Review collected by and hosted on G2.com.

Recommendations to others considering Convert Experiences:

Definitely give it a shot. If you're technical at all, this will stand head and shoulders above the competition. I'm still so impressed by their DMP features, it seriously opened up the flexibility I needed to run clean and accurate experiments without injecting real code into our codebase. Review collected by and hosted on G2.com.

What problems is Convert Experiences solving and how is that benefiting you?

For me, the biggest problem I was solving was, at runtime being able to determine an experiments validity and parameters. I've used Adobe, Optimizely, Google experiments, etc. and none of them really let you get your hands dirty with the code like this. My specific case was needing to (in almost every experiment) have an initial experiment run itself on load and determine (by way of script in the experiment dashboard) whether it should run or not, and if it did need to run, who to target and when. I did not want the software deciding these things for me because of the way our software was setup. Of all the other experimentation platforms, this either required deployments and hard coded experiment triggers, or it wouldn't allow this sort of experiment targeting at all.

Our app, on load, can expose a lot of data points about the player that I would then use to determine how to manipulate the experiment and which variation to serve (if at all). Convert lets you do this right from the dashboard. This made deploy and onboarding of the tool easy and fast, and allowed me to flip experiments on and off with ease. Review collected by and hosted on G2.com.

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