Consumer Profile

Row 1

Number of campaigns

6

Total of participants in campaigns

2115

Mean income

52k

Row 2

Case study: IFood Company

IFood is a leading online food ordering and delivery platform based in Brazil. It stands out as the largest APP food delivery service in the country.

What is the ask?

The objective of this task is to analyze whether there is any relationship between the campaigns and consumer segmentation. The analysis aims to identify potential connections or patterns between the different campaigns and the segmentation of consumers. By examining these factors together, we can gain insights into how the campaigns may impact consumer behavior and preferences.

Key factors to investigate:

Data set has 39 columns and 2206 rows with 2115 entries tabled from a consumer interview in 2020.

Numbers of Campaigns Accepted by Consumers:
  • Non-participants (0): Consumers who did not accepted any campaign.
  • Numbers of Campaigns 1, 2, 3, and 4: Quantity of campaigns accepted by consumers.

This analysis was done to the Google Data Analytics Certificate shared in my profile, for more details please visit Kaggle.

Consumer Profile

Row 2

Total purchase by age

Total purchase by Income

Consumer Purchases


Row 3

Type of products

Total Products

Wine Product

## Row 4

Meat Product

Fruit Product

Fish Product

Sweet Product

## Row 5

Conclusion

This report aimed to analyze the relationship between the five campaigns and consumer purchases. Additionally, it examined the consumer profiles and how their income was allocated towards the purchase of wine, meat, fruit, fish, and sweet products. The findings revealed that none of the campaigns were significantly increasing purchases. This suggests that if the company intends to improve its market share, it will be necessary to reconsider its overall approach.