#SUMMARY:
- Google Ads are more popular.
- The main audience is from 25-34 age group.
- Mobile is the most used device.
- Searches are prevelant than Conversions.
- clicks is in strong co-realtion with impressions & spends.
- Logistic Regression model failed the prediction model for clicks.
- [auidence_type, creative_type, creative_name] all these had high missing values which hampered the prediction model as these are important parameters.
#INSIGHTS:
-> Since Facebook Ads get less clicks, their marketing has to be increased and more inovative.
-> Make the ads more elderly friendly for those above 65.
-> All ads should be compartible with mobile interface.
Task Background:
• Please find the attached data file of a few marketing campaigns containing data from Oct’19 to July’20. This data is from Google and Facebook campaigns which shows the performance of different Age-groups for different dimensions.
• All the key fields like: Platform, Type, Medium, Sub Channel, Audience, Creative have already been mapped to the data. Platform: Marketing platforms on which campaigns are running majorly: Google Ads and Facebook Ads Type: Type of campaign, In this data only Gogole search and Facebook Conversion campaigns have boon considered Medium: The way we are connecting to people in our Marketing campaigns either via some Keywords or Creatives. Sub Channel: Sub channel is under Google Search which type of keywords have been targeted ot in Facebook which on subchannel we are targeting Audience: Multiple Type of audiences are getting targeted in different campaigns an dthose have been encrypted as Audience 1,2,3 Creative: This if for facebook what type of Image/Video/Carousel we are using in our Ads.
Required Task Output:
• You have to carry out EDA and build ML model to evaluate the insights automatically. You can use any language, model and technique of your choice • Prepare a summary of your Analysis and put that into a professional looking deck