vshalpnjabi/Mighty-Hive-Statistical-Analysis---AB-Testing
MightyHive-AdTech-Split-Testing-Data- MightyHive: AdTech Split Testing Company Website: http://mightyhive.com/call-center-remarketing/ Data Source: Teamleada provide Data science project to get hands on experience. In the project "A/B Testing Analytics: MightyHive Project" the data is provided along with the schema to perform a detailed Data Cleaning, Data Deduplication, Data Strcuturing & Analysis. Data Available: https://www.teamleada.com/projects/ab-testing-analytics-mightyhive-project/data-background/data-background MightyHive is an advertising technology company that uses retargeting methods to send ads to users online. One product, Call Center Remarketing, uses call center log data to retarget those consumers online whom did not make a purchase. As a data analyst, you are tasked with determining the results from an advertising campaign with a MightyHive client Martin’s Travel Agency. Read this background information on retargeting by ReTargeter. Data The results of the advertising campaign for Martin's Travel Agency are given in the following two datasets: The Abandoned Dataset: https://github.com/sayandev/MightyHive-AdTech-Split-Testing-Data-/blob/master/Abandoned_Data_Seed.csv Observations in the Abandoned Dataset are individuals who called into Martins Travel Agency's call center but did not make a purchase. The Reservation Dataset: https://github.com/sayandev/MightyHive-AdTech-Split-Testing-Data-/blob/master/Reservation_Data_Seed.csv Observations in the Reservation Dataset are the customers who called into Martins Travel Agency's call center and made a reservation. The schema for both of the datasets is provided below: Caller_ID - A unique ID generated for every incoming phone call to the call center Session - The Year/Month/Day/Time of each incoming phone call to the call center Incoming_Phone - Phone number identified using caller indentification Contact_Phone - Phone number the caller submits Test_Control - Experiment tag