Hook

Hook

Uses data science to predict customer revenue growth, identify high-value customers, and maximize revenue through retention strategies.

HQ location
London, United Kingdom
Website
Launch date
Employees
Enterprise value
$46—69m
Company register number
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DateInvestorsAmountRound
-investor investor

€0.0

round
investor investor

€0.0

round
*

£8.7m

Series A
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-63 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Hook
Made with AI
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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.

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