C5i > 实例探究 > Large pharmaceutical company improved city specific sales through weather based geo-targeting

Large pharmaceutical company improved city specific sales through weather based geo-targeting

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产品
  • Blueocean Market Intelligence
技术栈
  • Data Integration
  • Data Analytics
影响指标
  • Brand Awareness
  • Customer Satisfaction
技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 预测分析
适用行业
  • 消费品
适用功能
  • 销售与市场营销
用例
  • 需求计划与预测
  • 补货预测
服务
  • 数据科学服务
关于客户
The customer in this case study is a leading pharmaceutical company. The company operates in the consumer goods and services industry. The company was looking to drive better city/state-specific campaigns to increase the adoption and sales of their sunscreens. They wanted to leverage weather-based campaigns to drive effective selling of the seasonal product and enhance the return on investment on their campaigns.
挑战
The client, a leading pharmaceutical company, was seeking to drive better city/state-specific campaigns to increase the adoption and sales of their sunscreens. They wanted to develop weather-based campaigns to drive effective selling of the seasonal product and enhance the ROI on campaigns. The challenge was to understand the business drivers, activities, and define the type of business scenarios and products that could be ingested in the campaign.
解决方案
Blueocean Market Intelligence provided a solution by conducting a series of workshops to understand the business drivers, activities, and also defined the type of business scenarios and products which could be ingested in the campaign. They prepared and integrated several data sources such as social media, weather information, transactional data, and past campaign information. They built city and state-wise models to plan, deploy, and measure effective campaign ROI. They also designed, deployed, and measured campaigns effectiveness and tweaked the models to ensure relevancy and maximum outputs.
运营影响
  • Integrated data from ten plus sources and scaled up a unified geo spatial database.
  • Improved brand advocacy by having a reach of 20M+
  • Enhanced effective self-learning customer targeting models for future deployments.
数量效益
  • Fifteen percentage uplift on the campaigns designed.

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