Analytics Simternship | Results Review - Data Integration

This article will show a breakdown of the feedback given in the Analytics Simternship (formerly Mimic Analytics), along with some tips on where to look for places to improve.

To find your results, you will need to: 

1. Click on the “Results” button at the top left-hand corner.
2. Select the desired round.
3. Scroll down until you see the round results you would like to view
   
   

The following clip will show you how to navigate. This will be the same for all simulations: 

Here is where you can find helpful information on databases:

Interpreting Your Integration Results:

After each data integration round, you will be able to see the results of the round’s budget allocation, as well as a score for the analytics report.

Here is an example of the budget allocation results:

Budget Allocation Results

1. “Allocation” refers to the customer segment.
2. “Impressions” are the number of views the ad generated.
3. “Clicks” are the number of times users clicked on the ad.
4. “CTR”, or “click-through rate” is the number of clicks the ad received, divided by the number of impressions the ad received.
5. “Conversions” refers to the number of purchases generated by the ad.
6. “Conversion Rate” is the percentage of users that made a purchase from clicking on the ad.
7. “Revenue” refers to the amount of money the ad earned.
   
   

Use the information from your budget allocation results to determine where your allocation was more or less effective.

Tips and Tricks

• Be sure to read each question carefully before selecting which data to purchase. You may not be able to answer some questions if you didn’t purchase enough data.
• Use the data provided and purchased to make decisions on the recommended budget allocation. 
• When answering the questions, commas in numbers are not accepted. For example, if you would like to answer the question as “1,000”, you will need to input it as “1000”.

While the Stukent Support team is happy to assist with technical support, we are not marketing experts. Generally, questions about best practices with Analytics should be directed back to your course instructor for the best guidance.