We could then see how cumulative sales chang over time when the ad was discontinu versus when the brand was advertis. To compare cases, we creat a comparable measure of change in sales. In each case, brand sales in the last year with advertis were assign an inx value of , and sales for every second year were compar to that value. The inx shows that sales are % higher than in the inx year, and the inx shows a % crease in sales see example in Table . TABLE : HYPOTHETICAL EXAMPLE OF INX SALES SHOW A RATHER STEEP CLINE Sales for the last year with advertis inx year are set to.
Sales in subsequent years are compar
To the inx year as a base. Compar the previous year to the inx year shows that this brand was down in sales before it stopp advertis as its sales were % higher i.e. inx When the Dubai Email List brand stopp advertis, sales were down % after one year inx , % after two years inx , and % after three years inx . Once this inx has been appli to all cases, an average inx can be calculat across all cases in each year. Sales usually cline gradually after the ad ends. The average sales trend after the cessation of advertis was a steady cline, which eventually stopp. After a year without advertis, the average sales inx in all cases was see Table.
This means that the average change in sales
After the end of advertis in one year was. The average change in sales after two years of no advertis was %, and after three years – % . TABLE . AVERAGE INX SALES WHEN BRANDS STOP B2C Database ADVERTIS * Although the average previous inx shows a cline before the end of advertis, there were almost an equal number of previously grow, stable and clin brands in this sample.