Apply web extracted data to identify potential price gaps to exploit

The report illustrates how large volumes of well-organised and structured SKU web-extracted data can be used to identify price gaps that can potentially capture greater margins and maximise profitability.

The report utilises the UK champagne market as an illustrative and elementary example - the approach is applicable to any industry/category or geography - to show how invaluable extracting, harvesting, organising millions of data points from online retailers can enable suppliers to find potential opportunities from existing and uncovered price gaps.

In the case study, over 900 champagne SKUs available through online retailers in the UK were evaluated to determine significant price gaps.

Focus for this case study is on the price tier for champagne below USD30 for 750ml bottles. Similar analysis can be applied to any price tier for any given category.