Using Machine Learning to Build a Patient-Centered Pricing Model
We used data science to help our client qualify more prospective patients without sacrificing their standard of care.
Driving operational readiness to support retail sales of home security equipment
The product pricing and packaging construct included many changes that were being implemented in a single bundled change, which caused concern for the product leader. In addition, the company faced several challenges with limited resources:
Competing Organizational Priorities – Other product lines were also making updates that would impact agents and customers.
Compressed Readiness Timeline – Planning, tactic development, communications, training, and technical implementation faced a small window for success.
Distributed Decision Making – Any changes to product economics required multi-layer sign-offs to align to local policies and priorities of regional P&Ls.
RevGen established and executed a program leadership structure that aligned roles and project plans, developed a go-to-market playbook, and established a communications framework to manage the deployment.
RevGen leveraged relationships and experience from prior product launches to be laser-focused on critical activities with minimal ramp-up time. RevGen built and maintained a strong partnership with stakeholder project teams which led to developing a training strategy that was “right sized” for the capacity within each geography.
RevGen’s program leadership combined with home security product experience led to successful deployment execution, launch-day command center, and post-launch metrics.
Having all issues resolved within the first 72 hours of the launch is truly a great feat - really amazing job by the team!
The client implemented the new pricing and packaging construct on time and achieved profitability within two months.
We used data science to help our client qualify more prospective patients without sacrificing their standard of care.
RevGen helped our client implement an Azure Cloud solution to improve digital marketing operations and data trustworthiness.
Due to team consolidation in anticipation of a new technology launch, our client’s Agile backlog was a mix of competing priorities from several departments that often had conflicting goals.
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