"Our goal from day one has been to build a community around open source and measure it, so we can better contribute to the sector. But what we discovered pretty quickly - and what many other community managers, developer evangelists, and advocates agreed with - is that measurement of a …

"I’d say customer behavior is our favorite use case, and we’re going to keep it around forever. I load our custom dashboard probably 100 times a day."

"[Keen] sped up development time for a lot of “nice to have” features. [They] made building and conceptualizing new features super seamless."

"Thanks to Keen, Content Science has been able to develop ContentWRX so that it meets the unique needs of end-users."

"With Keen, we have the flexibility to query just the data we need, all in one place."

“The biggest thing we were looking for was flexibility—the ability to collect data from any interaction on any media property. We didn’t want to conform to what other analytics platforms thought was a good metric. We needed control over how we were collecting and analyzing our data.”

"Keen was the best solution for us because it offers full customization and the ability to ship arbitrary metadata and to structure tracking however we want."

"With Keen IO, I don't even have to think about how it works – I just know that it does work, and it will work."

"Without Keen, we’d have to build our own analytics infrastructure to get the insights we need. Keen was super easy to implement and helped us boost views of our highest-impact content by 133%."

“The implementation was pretty straightforward. Keen’s Ruby gem library made accessing end points a lot easier, and we didn’t have to write them, just access. We ended up writing a wrapper around it to wrap the calls, because we make them in a few places. When we first started using …

"Our team writes one line of code, and it just works, and we can keep focused on what we want to work on."

“Our platform enables our clients to find, curate, and publish their great user-generated social content. But our clients also want to see how that this content is affecting behavior. What kind of photos are customers clicking on? What do they seem interested in? If we can expose this data to …

“Keen helps us define metrics and prioritize. It helps us see where our customers are not succeeding. When we build features with the goal of making a user’s life easier, Keen helps us understand if we’ve succeeded.”

"With Keen we have a democracy. Now everyone on client success, integration, and product can pull reports and extract data. We don’t have to have an analyst that people have to go to and ask, “Hey, can you run this query?” Everyone can do their thing without being bottle-necked."

"Keen allows us to construct our data model in a way that privileges the metrics we care about. With other programs, we would have constant constraints that would greatly limit what we were hoping to achieve. For me I think that’s one of the biggest reasons we ended up going …