Datadog ($PRIVATE:DATADOG) is the next startup riding the cloud all the way to an IPO. The company, founded in 2010, is planning a public market debut later this month with momentum built on 10,000 customers and a savvy cloud-based monitoring and analytics platform technology.
As the company preps to hit Wall Street, data shows that it is growing on two critical fronts: workforce size and social media.
In the last three weeks the company added roughly 500 employees, according to data tracked via LinkedIn that shows the number of users claiming Datadog as their employer.
With a multi-billion dollar valuation on the horizon, a comfortable top-five spot on the Forbes Cloud Top 100 List, and a catchy new ticker symbol name (DDOG), we can chalk much of Datadog's success up to its hiring. But positive movement on social media where it faces customers on a daily basis is an indication that the company is on the right side of the traction vector.
On top of all the things Datadog has done, especially increasing revenues by 97% last year, Datadog's social media following is tough to ignore, even for a company that deals in the cloud.
The company is surprisingly active on social media, regularly posting variations of its adorable dog logo, and it appears to be working: Datadog gained 400+ followers on Instagram in the last few weeks alone. For a company without anything to take photos of, it has found a clevel way to make Instragram work for it. Meanwhile, the company's Twitter (not listed here) and Facebook followings are also on the rise.
On Tuesday September 17, it was reported that Datadog priced up its IPO - a signal that investors are eager to buy in, despite lingering losses for the cloud company.
About the Data:
Thinknum tracks companies using information they post online - jobs, social and web traffic, product sales and app ratings - and creates data sets that measure factors like hiring, revenue and foot traffic. Data sets may not be fully comprehensive (they only account for what is available on the web), but they can be used to gauge performance factors like staffing and sales.