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Disrupting Pharma Sales With Big Data Analytics1-10 Employees
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Disrupting Pharma Sales With Big Data Analytics
Pharmaceutical companies spend $27B per year on physician promotion. There are 81,000 pharma sales reps and 12,000 sales leaders in the US.

Pharma selling is an indirect sales model making it very difficult to measure promotional response. Reps are expensive, and they are selling an expensive product to a customer who has very limited time.

With over 50% of pharma sales teams on a CRM, we can leverage these big data sets and build validated behavioral models of their prescribers. We can finally put predictive analytics decision tools in the hands of customer facing personnel.

Business Model: SaaS

Customers: Pharma & Biotech sales and marketing teams

Distribution: Mobile and web platform

Key Differentiator: Specialized focus on the unique needs of the pharma customer. Regulatory constraints and indirect sales model require a new solution.

Key Technology: Validated behavioral profiles of key US prescribers.
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Ian Wendt
Avatar for Ian Wendt
CEO / Founder of Uplytic, 20 years experience in pharma / biotech sales and operations leadership roles. BSc, MBA
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