Arrakis automates the process of sales research by utilizing web scraping and data aggregation techniques to identify organizations that match your Ideal Customer Profile and locate key decision-makers on platforms like LinkedIn. This solution significantly reduces the time spent on manual research, enabling companies to connect with the right prospects more efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Sales teams spend significant time on manual research to identify target organizations and key decision-makers, diverting resources from direct sales activities. This process is often inefficient, relying on disparate data sources and time-consuming manual searches.
Solution
Arrakis provides an automated sales research platform that streamlines the process of identifying and qualifying potential leads. The platform uses web scraping and data aggregation techniques to identify organizations that match a user's Ideal Customer Profile (ICP). It also locates key decision-makers within those organizations, leveraging platforms like LinkedIn to gather relevant contact information. By automating these tasks, Arrakis enables sales teams to focus on engaging with qualified prospects, improving efficiency and conversion rates.
Target Audience
Arrakis primarily targets sales and marketing teams in B2B companies that need to identify and engage with qualified leads efficiently.
Features
- Automated web scraping to identify companies matching user-defined ICP criteria
- Data aggregation from multiple sources, including LinkedIn, to locate key decision-makers
- Contact information enrichment to provide sales teams with relevant prospect details
- Customizable search filters to refine target audience identification
- Integration with CRM platforms for seamless data transfer and workflow automation