Google analytics 如何计算购买至详细价格同比变化带来的额外收入提升？

所以基本上，我是在比较一些日期的购买细节比率和上一年的相同日期，并试图计算出这相当于多少额外收入。2019年的BTDR为4.443%，2020年为4.09%，因此变化为-7.67%。因此，这是一个下降购买人，但我怎么知道这意味着什么方面的收入？我有其他信息，如平均数量，收入和平均价格的产品

我拥有的数据加上我为分析而创建的一些附加列：

,Avg. Price_2019,Avg. Price_2020,Avg. QTY_2019,Avg. QTY_2020,Buy-to-Detail Rate_2019,Buy-to-Detail Rate_2020,Cart-to-Detail Rate_2019,Cart-to-Detail Rate_2020,Date Range_2019,Date Range_2020,Product Category (Enhanced Ecommerce),Product Refund Amount_2019,Product Refund Amount_2020,Product Revenue_2019,Product Revenue_2020,Product Views_2019,Product Views_2020,Quantity_2019,Quantity_2020,Unique Purchases_2019,Unique Purchases_2020,% change in Avg. Price,% change in Avg. Price_float,% change in Avg. QTY,% change in Avg. QTY_float,% change in Buy-to-Detail Rate,% change in Buy-to-Detail Rate_float,% change in Cart-to-Detail Rate,% change in Cart-to-Detail Rate_float,% change in Product Revenue,% change in Product Revenue_float,% change in Product Views,% change in Product Views_float,% change in Unique Purchases,% change in Unique Purchases_float
0,83.24,82.01,1.04,1.04,0.0443,0.0409,0.0,0.0907,2019,2020,Men's Pants,$0.00 ,$0.00 ,475867.8,758818.3,124604,216797,"5,717","9,253",5520.0,8867.0,-1.48%,-1.48,infinity,0.0,-7.67%,-7.67,infinity,0.0,59.46%,59.46,73.99%,73.99,60.63%,60.63
1,84.43,88.01,1.01,1.01,0.03,0.0345,0.0,0.08779999999999999,2019,2020,Women's Pants,$0.00 ,$0.00 ,120657.45,191955.55,47066,62376,"1,429","2,181",1412.0,2152.0,4.24%,4.24,infinity,0.0,15.0%,15.0,infinity,0.0,59.09%,59.09,32.53%,32.53,52.41%,52.41
2,143.3,140.31,1.18,1.01,0.0147,0.0176,0.0,0.0458,2019,2020,Men's Outerwear,$0.00 ,$0.00 ,142439.65,176647.25,57414,71136,994,"1,259",844.0,1252.0,-2.09%,-2.09,-14.41%,-14.41,19.73%,19.73,infinity,0.0,24.02%,24.02,23.9%,23.9,48.34%,48.34
3,71.01,69.58,1.05,1.02,0.0447,0.0504,0.0,0.1175,2019,2020,Men's Long Sleeve,$0.00 ,$0.00 ,103248.55,165662.1,31073,46349,"1,454","2,381",1389.0,2336.0,-2.01%,-2.01,-2.86%,-2.86,12.75%,12.75,infinity,0.0,60.45%,60.45,49.16%,49.16,68.18%,68.18
4,67.62,68.46,1.03,1.04,0.060599999999999994,0.059000000000000004,0.0,0.1143,2019,2020,Men's Shorts,$0.00 ,$0.00 ,66202.35,118230.25,15726,28118,979,"1,727",953.0,1659.0,1.24%,1.24,0.97%,0.97,-2.64%,-2.64,infinity,0.0,78.59%,78.59,78.8%,78.8,74.08%,74.08
5,167.03,157.1,1.02,1.01,0.014499999999999999,0.021400000000000002,0.0,0.0676,2019,2020,Women's Outerwear,$0.00 ,$0.00 ,50275.55,83890.7,20413,24766,301,534,296.0,530.0,-5.95%,-5.95,-0.98%,-0.98,47.59%,47.59,infinity,0.0,66.86%,66.86,21.32%,21.32,79.05%,79.05
6,53.84,49.07,1.06,1.03,0.0629,0.0697,0.0,0.1481,2019,2020,Men's Short Sleeve,$0.00 ,$0.00 ,59980.3,75227.55,16772,21276,"1,114","1,533",1055.0,1483.0,-8.86%,-8.86,-2.83%,-2.83,10.81%,10.81,infinity,0.0,25.42%,25.42,26.85%,26.85,40.57%,40.57
7,97.51,96.56,1.15,1.02,0.0246,0.0363,0.0001,0.0882,2019,2020,Men's Fleece,$0.00 ,$0.00 ,44950.1,63537.05,16260,17851,461,658,400.0,648.0,-0.97%,-0.97,-11.3%,-11.3,47.56%,47.56,88100.0%,88100.0,41.35%,41.35,9.78%,9.78,62.0%,62.0
8,67.85,64.55,1.01,1.01,0.032,0.047599999999999996,0.0,0.1358,2019,2020,Women's Long Sleeve,$0.00 ,$0.00 ,22188.35,51510.25,10125,16617,327,798,324.0,791.0,-4.86%,-4.86,infinity,0.0,48.75%,48.75,infinity,0.0,132.15%,132.15,64.12%,64.12,144.14%,144.14
9,95.05,129.09,1.27,1.0,0.0231,0.0253,0.0,0.079,2019,2020,Women's Fleece,$0.00 ,$0.00 ,20055.55,36404.35,7186,11106,211,282,166.0,281.0,35.81%,35.81,-21.26%,-21.26,9.52%,9.52,infinity,0.0,81.52%,81.52,54.55%,54.55,69.28%,69.28