Facebook_ad_DataAnalysis

Tried to analyse facebook ad data to find best ad campaigns and target groups for a particular ad.

We found the dataset on kaggle. Link: https://www.kaggle.com/loveall/clicks-conversion-tracking

We answered some business related questions from the insights that we got after analysing the data.

Business Questions

1. How to optimize the social ad campaigns for the highest conversion rate possible? (Attain best Reach to Conversion ratios/Click to Conversion ratios)

2. Finding the perfect target demographics with the appropriate click through rates

3. Understanding the ideal turnaround/decision making time per age group to convert and re-target future social campaigns

4. Comparing the individual campaign performance so the best creative/campaign can be run again with adjusted audiences.

What we did?

1. Did data cleaning and data preparing activities.
2. Ran descriptive analytics on the prepared data and plotted tables, charts and graphs.
3. Interpreted the charts and graphs and listed out the insights.
4. Used Kmeans algorithm, Elbow technique to find optimal number of clusters and various different libraries and frameworks like pandas, numpy, seaborn, matplotlib, sklearn, etc. to run the descriptive analytics.