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Information Technology & Services
Goal
Enabled data-driven personalized conversations with customers to drive revenue using Machine Learning.
Challenge
Needed better information on customer behavior to engage them in a data driven meaningful way to drive revenue. To empower decision makers to leverage different data to create personalized messaging with potential customer to drive revenue. This platform took data related to a pre-identified set of personas from LinkedIn and transformed it into automated personalized conversations, using java, elastic search, python, emberjs, sendgrid, aws, mongodb, spring.
Solution
Human + Machine Verified Leads
Using advanced algorithms, the AI system merges a broad range of sources into a single database. The system then cleans the data and makes intelligent predictions on your ideal prospect’s contact information. Finally, leads are verified by human experts and ready for use.
Search
The platform leverages intersected data sources based on your ideal customer profile and allows you to export verified contact information. This enables your teams to conduct outreach to ideal prospects and close more deals.
Results
Fuse prospector saved 90% of the time a customer sales rep (CSR) typically spent on sourcing and reaching out to leads. Clients who used the platform drove 45% higher revenue on average.