PCMall

Plus nearly 50% (47. 5%) Pascal customers want to receive catalogs monthly.

2)elf we put the hypothesis this way: Ho: There is no significant relationship between shopping frequency and Pascal segment Ha: There Is a significant relationship between shopping frequency and Pascal segment Since alpha-0,05 and value-o: upheaval, If failed to reject the null hypothesis, hence Ho is valid and there is a significant relationship between the overall satisfaction rating and PC Mall user segment. )ii) If we set the hypothesis this way then : Ho: There Is a significant difference In overall satisfaction ratings by PC Mall and McCall users Ha: There is no significant difference in overall satisfaction ratings by PC Mall and McCall users Since, alpha = . 05 and p-value=. 14, p-value>alpha, if failed to reject the null hypothesis, hence Ho is valid and there Is a significant difference in overall satisfaction ratings by PC Mall and Mac Mall users. ) 5)Len the SPAS regression, the prediction equation for Pascal users Is : Measure of overall satisfaction = 3,18 + 0,18 Pricing – 0,03 Product 0,03 Support services – 0,12 Product Information + 0.

17 Sale Service + 0,24 web Convenience Pascal telling you that measure of overall satisfaction is predicted to increase by 0,18 if the Pricing attributes go up by one, decrease by 0,03 when Product attributes go up by one (same applies to other variables In the equation), and Is predicted to be 8 when all variables are zero.

FIFO overall satisfaction = 2,51 – 0,02 Pricing + 0,05 Product + 0,04 Support services + 0,01 Product Information + 0,19 Sale Service + 0,30 web convenience McCall telling you hat measure of overall satisfaction is predicted to decrease by 0,02 if the Pricing attributes go up by one, increase by 0,05 when Product attributes go up by one (same applies to other variables in the equation), and is predicted to be 2,51 when all In the SPAS regression, the prediction equation for Pascal and McCall users is : Measure of overall satisfaction = 2,5 + Pricing – Product + Support services – Product Information + 0,12 Sale Service + 0,07 web Convenience Pascal + 0,34 web convenience McCall telling you that measure of overall satisfaction is predicted o increase by if the Pricing attributes go up by one, decrease by when Product attributes go up by one (same applies to other variables in the equation), and is predicted to be 2,5 when all variables are zero. ) Benefit Types Support Service Product Information Pricing Sales Service Product PC Web Convenience Mac Web Convenience Segments PC Mall users Mean 0,04 0,01 0,19 0,05 0,30 McCall users 0,03 -0,12 0,18 0,17 -0,03 0,24 Both PC/Mac Mall users 0,09 -0,07 0,21 0,31 I didn’t insert the mean because the software used (SSP) crashed when I computed t. 7) We can clearly say Judging from the output of the analysis of the questionnaire answers that the most loyal and appreciative customers are the Pascal ones. First recommendation: focus more on McCall users so they don’t lose them.

Based on the regression output, if they increase both utility of sale services and web convenience for McCall the overall customer satisfaction will be higher. This should also make the rating better (SQ I’) Second recommendation: work more closely with Pascal users to adapt the prices (output of regression).