Segment
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$100k | Seed | ||
$600k | Seed | ||
$15.0m | Series A | ||
N/A | $2.0m | Seed | |
$27.0m | Series B | ||
N/A | - | ||
$64.0m | Series C | ||
$175m Valuation: $1.5b | Series D | ||
N/A | N/A | Secondary | |
$3.2b Valuation: $3.2b | Acquisition | ||
Total Funding | CAD387m |
Related Content
Recent News about Segment
EditSegment is a data infrastructure company that helps businesses collect, clean, and control their customer data. It operates primarily in the technology and marketing sectors, serving a wide range of clients from startups to large enterprises. Segment's main product is a platform that allows companies to gather data from various sources, such as websites, mobile apps, and servers, and then send this data to different tools for analytics, marketing, and data warehousing.
The company offers specialized solutions for different teams within a business. For product teams, Segment provides tools to enable product analytics, A/B testing (which is a method of comparing two versions of a webpage or app against each other to determine which one performs better), and data warehousing with ease. For marketing teams, Segment helps unify customer touchpoints across all platforms and channels, allowing for a single view of the customer. This enables marketers to target the right customer with the right message at the right time, building real-time audiences and campaigns without needing to rely on other teams.
Segment operates on a subscription-based business model. It makes money by charging businesses for access to its platform, which includes various tiers of service depending on the size and needs of the client. The company also offers additional features and integrations that can be purchased separately.
In summary, Segment helps businesses manage their customer data more effectively, leading to better decision-making and increased revenue. It serves a diverse range of clients and operates in a competitive market, offering a robust and flexible platform that can be tailored to meet the specific needs of different teams within an organization.
Keywords: data infrastructure, customer data, analytics, marketing, product teams, real-time data, data warehousing, A/B testing, subscription model, integrations.