Case Study: Graphcom’s Client boosts member engagement with Graphcom’s predictive analytics

Graphcom’s Client boosts annual wellness completions 75% while reaching 55% fewer members with Graphcom

Graphcom's Client, a major health insurance payer, faced the challenge of improving member engagement for initiatives like annual wellness visits. Their previous outreach strategies were broad and not personalized, leading to inefficient resource allocation and lower response rates. They partnered with Graphcom to leverage its predictive modeling and marketing analytics services to better target their members.

Graphcom implemented a data-driven solution using its CRISP-DM methodology to build a predictive model. This model identified which members were most likely to respond to outreach, allowing the client to target 55% fewer members. The highly focused campaign yielded a 75% higher annual wellness appointment completion rate over the previous year, significantly boosting engagement while reducing costs.