Cup of Data leverages machine learning and deep learning technologies to develop models designed to learn the best combination of fit and behavior attributes to offer high-quality leads to customers.
BACK OF THE BOX DETAILS
Cup of Data’s machine learning and deep learning models identify behavior signals to measure intent for targeted accounts and contacts, the company said. This data is combined with the appropriate fit information to calculate a unique propensity score, also known as an account propensity score (APS). Cup of Data’s lead identification and propensity scores improve with time by using customer conversion data to retrain models.
WHAT IT WORKS WITH/CONNECTS TO
Cup of Data feeds leads to customer CRMs using third-party tools, such as Zapier. It is also designed to provide direct integration to a set of vendors, such as HubSpot CRM. Cup of Data’s developer-friendly APIs aim to help customers integrate the API with other software solutions.
Cup of Data has a tiered pricing model per account. The company encourages at least a four-month engagement period. This gives the solution enough time and data to train and automate the process of identifying great leads based on fit and behavior information.
Cup of Data’s beta users include:
- Ramsen Media;
- Stepping Blocks; and
- Nehemiah Security.
WHAT ELSE YOU NEED TO KNOW
Cup of Data focuses on identifying and delivering high-quality leads to SaaS B2B companies. The solution is designed to build and train models, which are specifically tailored to identifying warm leads based on fit and specific behavior data. According to Cup of Data, its API allows companies to integrate the solution with the tools they know and love to engage the warm lead with context, whether it be through email, web or mobile.
Cup of Data
3423 Piedmont Rd NE
Atlanta, GA 30305