
Baremetrics
Baremetrics provides analytics around Stripe-based payments.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor | €0.0 | round | |
investor | €0.0 | round | |
$200k | Seed | ||
Total Funding | 000k |
USD | 2018 | 2020 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | - | (49 %) |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Baremetrics provides subscription analytics and engagement tools designed for Software as a Service (SaaS) and subscription-based businesses. The platform integrates with payment processors like Stripe, Braintree, and others to deliver a comprehensive dashboard of key metrics. These metrics include monthly recurring revenue (MRR), churn rate, lifetime value (LTV), and user data, presented through graphs and charts for easy interpretation.
The company was founded in 2013 by Josh Pigford. A key feature of Baremetrics is its transparency; it was one of the first companies to publicly share its own revenue metrics, a practice that garnered significant attention in the startup community. This open approach helped build its brand and attract early customers.
Baremetrics offers several products to help businesses understand their financial health and customer behavior. The core 'Metrics' product provides a dashboard for tracking financial performance. 'Cancellation Insights' helps businesses understand why customers are churning by automatically surveying them when they cancel. Additionally, the 'Forecasting' tool uses current and historical data to project future financial metrics like MRR and customer numbers. The business model is subscription-based, with pricing tiers determined by the client's monthly recurring revenue. It serves a global market of SaaS companies, from small startups to larger enterprises, helping them make data-informed decisions to reduce churn and increase revenue.
Keywords: subscription analytics, SaaS metrics, revenue monitoring, churn analysis, financial dashboards, MRR tracking, customer lifetime value, payment integration, business intelligence, forecasting