Statsig is a well-funded startup based in Bellevue, Washington that enables product teams to test and evaluate new features using feature gates and other experimental tools (using live data from real customers). to Gating feature available for free for most users.
The new allowance for the free plan, which previously allowed 5 million events per month, is now 500 million events. This means that all but the largest customers will be able to use this core part of the service for free, according to the company. .
Please note that you must pay to use Statsig’s advanced analytics tools. As Satsig founder and CEO Vijaye Raji told me, some of the company’s larger customers have significant costs to run some analytics workloads, but Statsig feature management services are relatively inexpensive to operate.
Image credit: statistics
“What is the maximum number we can choose? Different levels, different sessions, people will likely generate different numbers of events, but what will generate many events?” If you select and then select 1 million users, what would you generate on average? He also said based on calculations the team made, if only a small number of free users transitioned to paid plans, the cost of the free plan and its analytics features could be covered. Welcome to the era of product-led growth. .
The free plan is limited only by the number of events. There is no limit to the number of feature gates, users, seats, or environments. Free users also have access to user-her targeting and segmentation features of the service.
Image credit: statistics
The company, which was one of the few startups to continue working face-to-face during the pandemic, says well over 900 companies are now on its platform. Homepage logos include Brex, OpenSea, Microsoft, Notion, Figma, Flipkart, and Lime. Raji said he initially expected most companies on the company’s platform to be in the Series A to Series D range.
“There’s a tool, what you can do with it, and the refinement of who in the company can use that tool,” he explained when I asked about the company’s user base. “If you need a data scientist, you are adding a bottleneck to your data science team. If anyone can understand how the product works — every part of the product — if they can figure out the cause: This team built these 10 features and each feature has a metric moving on its side — that’s what we do. It’s a little different than traditional A/B testing.”
Image credit: statistics
