C5i Case Studies Large pharmaceutical company improved city specific sales through weather based geo-targeting

Edit This Case Study Record

	Large pharmaceutical company improved city specific sales through weather based geo-targeting C5i

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

C5i

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics
Applicable Industries	Consumer Goods
Applicable Functions	Sales & Marketing
Use Cases	Demand Planning & Forecasting Predictive Replenishment
Services	Data Science Services
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Applicable Industries

Consumer Goods

Applicable Functions

Sales & Marketing

Use Cases

Demand Planning & Forecasting

Predictive Replenishment

Services

Data Science Services

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	Integrated data from ten plus sources and scaled up a unified geo spatial database.
Impact #2	Improved brand advocacy by having a reach of 20M+
Impact #3	Enhanced effective self-learning customer targeting models for future deployments.

Impact #1

Integrated data from ten plus sources and scaled up a unified geo spatial database.

Impact #2

Improved brand advocacy by having a reach of 20M+

Impact #3

Enhanced effective self-learning customer targeting models for future deployments.

Benefit #1	Fifteen percentage uplift on the campaigns designed.

Benefit #1

Fifteen percentage uplift on the campaigns designed.

Download PDF Version

Overview

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

Operational Impact

Quantitative Benefit