Hypermarket Retail Analysis Customer Buying Behavior. Reachout Analytics Client Sample Report

Transcription

1 Hypermarket Retail Analysis Customer Buying Behavior Report

2 Tools Used: R Python WEKA Techniques Applied: Comparesion Tests Association Tests

3 Requirement 1: All the Store Brand significance to Gender Towards buying behavior is equal or nor equal? Group Statistics Gender N Std. Deviation Store Brand Male Weight in Female Store Brand Equal variances assumed Equal variances not assumed Levene's Test for Equality of Variances F Sig. Independent Samples Test t df t-test for Equality of s Sig. (2- tailed) Interval of the Lower Upper

4 Requirement 2: All the significance to Gender Towards buying behavior is equal or nor equal? Group Statistics Gender N Std. Deviation Male Female Significantly there is difference but buying behavior of Male & Female is little bit same Equal variances assumed Equal variances not assumed Levene's Test for Equality of Variances Independent Samples Test F Sig. t df t-test for Equality of s Sig. (2- tailed) Interval of the Lower Upper

5 All the significance to Gender Towards buying behavior is equal or nor equal? Group Statistics Gender N Std. Deviation Male Female Weight in Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of s Std. Error Interval of the Sig. (2- Differen Differen F Sig. t df tailed) ce ce Lower Upper Equal variances assumed Equal variances not assumed

6 Requirement 4 : Repeating the same analysis to Age Group,Amount spent per month, Family Size, Income Level, Profession and Education qualification? Age Group : Store Brand Price in Rs ANOVA Sum of Squares Square Sig Store Brand Price in Rs Descriptive Interval for Lower Upper N Std. Deviation Bound Bound Minimum Maximum Below Above Below weight in Above Below Above

7 ANOVA Sum of Squares df Square F Sig. Store Brand Price in Rs weight in Weight in Amount Spent per Month : There is Significance, We can implement new discount scheme to increase sales for the second slab of income spent people i.e., could see there is lot of scope by providing minimum discount offer Store Brand Price in Rs Descriptives Interval for Std. Deviation Above Above Above There is Significance, with 95% CI for Income Group We can implement new discount scheme to increase sales for the second slab of income spent people i.e., could see there is lot of scope by providing minimum discount offer

8 Family Size : Store Brand Price in Rs Weight in ANOVA Sum of Squares df Square F Sig Store Brand Price in Rs Descriptives Interval for N Std. Deviation Lower Bound Upper Bound Minimum Maximu m up to above up to above up to above

9 Store Brand Price in Rs Income Level : ANOVA Sum of Squares df Square F Sig Store Brand Price in Rs Descriptives Interval for N Std. Deviation Lower Bound Upper Bound Minimum Maximum Rs.5,001-15, Rs.15,001-25,000 Rs.25,001-35, ,001-45, ,001 Above Rs.5,001-15, Rs.15,001-25, Rs.25,001-35, ,001-45, ,001 Above Rs.5,001-15, Rs.15,001-25,000 Rs.25,001-35, ,001-45, ,001 Above