KNIME_​FDP_​Stats

BASIC CONTROLS

DATA PREPROCESSING

UNIVARIATE ANALYSIS

BIVARIATE ANALYSIS

MULTIVARIATE ANALYSIS

INSIGHTS

1. Single people tend to spend more

2. If married, those without kids spend more than those with kids.

3. Web purchases are preferred by middle aged and retired - possibly for convenience?

4. Responders spent more than non-responders - Campaigning works!

5. Higher the income, higher the spending.

6. Recency may not have any influence on total spending.

7. Most purchased products were Wine and Meat.

8. Mean number of store purchases were higher than other channels.

9. Spain spends lot more than other countries - graduates more than post grads and PhDs

There is a significant difference in the total spending between the campaign responders and non-responders.

At least one group mean is significantly different from the others among the compared groups.

1. Customers who responded to campaigns spend substantially more.

2. Customers purchasing through catalogs tend to spend significantly more.

3. Website engagement translates into customer value. (Digital Channels Work!)

4. Households with children—especially teenagers—spend less overall.

5. Deals are not driving value - Discount-oriented customers are not necessarily valuable customers.
   

1. Income strongly drives customer value

2. Wine and meat products are the biggest contributors to spending

3. Catalog and store purchases are strongly associated with higher spending

4. Higher browsing activity does not necessarily translate into purchases and may reflect weak digital conversion

5. Behavioral variables are stronger predictors of spending than demographics.

SAMPLE STATISTICAL ANALYSIS AND INSIGHTS