
Hook
Uses data science to predict customer revenue growth, identify high-value customers, and maximize revenue through retention strategies.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor investor | €0.0 | round | |
* | £8.7m | Series A | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 63 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Hook.co is a startup that leverages artificial intelligence (AI) to help businesses identify their most valuable customers and strategize on how to retain them and maximize revenue. The company primarily serves Software as a Service (SaaS) companies, operating in the technology market.
Hook's business model revolves around analyzing usage patterns and third-party data to prioritize customers, thereby helping businesses grow revenue and land upsells quicker. This data-driven approach allows companies to reduce customer churn by up to 40% and increase expansion revenue by 24%.
The company's AI-driven platform also helps businesses identify the product features that customers are actually using, allowing them to focus their efforts on high-value customers. It provides automated engagement results for every customer, helping businesses map out risks or upsell opportunities.
Hook's revenue model is likely based on a subscription or service fee, where clients pay for the insights and recommendations provided by the platform. The company promises a quick onboarding process, claiming to get clients up and running within 30 days.
In terms of security, Hook emphasizes that it is designed with a strong focus on data protection, ensuring that clients' sensitive information is safe.
In summary, Hook.co is a data-driven, AI-powered platform that helps SaaS companies identify and retain high-value customers, thereby maximizing revenue and reducing churn.
Keywords: Artificial Intelligence, Customer Retention, Revenue Maximization, SaaS, Data Analysis, Upselling, Risk Mapping, Quick Onboarding, Data Security, Subscription Model.