Databook
Financials
Estimates*
USD | 2019 | 2020 | 2021 | 2023 |
---|---|---|---|---|
Revenues | <1m | 2.7m | 4.1m | 39.5m |
% growth | - | 177 % | 52 % | - |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$5.0m | Seed | ||
$16.0m | Series A | ||
* | $50.0m Valuation: $550m | Series B | |
* | N/A | N/A | Series B |
Total Funding | €64.5m |
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Recent News about Databook
EditDatabook is a startup that operates in the B2B sales sector, providing a unique solution to the challenges faced by sales teams in the digital age. The company's primary offering is a platform that leverages artificial intelligence to help sales teams better understand their prospective clients. This is achieved by aggregating and analyzing vast amounts of data to provide insights that are relevant, timely, and personalized to each potential customer.
Databook's clients are primarily sales teams who are looking to improve their sales conversations and close deals more efficiently. The platform helps these teams to avoid generic pitches and instead, deliver value-driven conversations that resonate with the specific needs of each prospect. This is particularly beneficial in today's market where B2B buyers are increasingly knowledgeable and discerning.
The business model of Databook is likely based on a subscription or usage-based fee, where clients pay to access the platform and its features. The company generates revenue from these fees, and potentially from additional services such as consulting or training.
Databook's platform has proven to be effective, with users reporting a 45% reduction in time-to-close and a 20% increase in average deal size. The platform also streamlines the research process, saving sales teams valuable time and providing them with competitive benchmarks that they may not have had access to otherwise.
In summary, Databook is a B2B sales platform that uses AI to provide personalized and timely insights to sales teams, helping them to close deals more efficiently and effectively.
Keywords: B2B Sales, Artificial Intelligence, Personalized Insights, Sales Efficiency, Data Analysis, Prospective Clients, Value-Driven Conversations, Time-to-Close, Average Deal Size, Competitive Benchmarks.