Analyzing the past and present growth of online retail sales in the United States, a trend will be identified and given a projected duration time. In order to identify when online retail sales will reach market maturity, a forecast will be created to identify the depth and impact of the e-commerce analytics trend in quantifiable terms. Overall, the impact of ecommerce Analytics on consumer purchasing will be thoroughly reviewed. The analysis and forecast will cover U.S. online retail sales independently and as a percentage of total retail sales through 2020. Comparing the results under two models, S-Curve analysis and the Dent Method, forecast consistencies and discrepancies will be noted and analyzed. Only time will tell the degree to which the internet will make its imprint upon consumer society.
Using aforementioned techniques, the research will consist of finding and analyzing the e-commerce analytics trend as it emerges. The better data can be used in accordance to accepted methodologies such as the Dent Method, the more accurate and useful the predictions will be.
While SPSS facilitates the detailed analysis of e-commerce analytics data, it is the methodology of S-Curve economics which enables trends to be forecasted.
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