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Map Custom Variables to Ads

Unlike standard web analytics packages that require exhaustive customization in order for retailers to get accurate results, ClearSaleing offers retail businesses with advanced analytics functionality right out-of-the-box. ClearSaleing’s technology also allows you to track the effect of custom Retail industry variables specific to your business needs, like:

  • Payment Type
  • Brand
  • Offer Code
  • Offer Code Description
  • Product Category
  • Product Subcategory
  • Gift Purchase
  • Repeat Purchase
  • Quantity On Hand
  • Line Item Offer
  • Line Item Detail
  • Channel

Measure Success Based on Profit

When it comes to retail, it’s the bottom line that counts. Because ClearSaleing includes the cost of advertising and cost of goods sold in its campaign attribution calculations, retailers are able to see an accurate ‘big picture’ view of their campaigns’ success down to the actual bottom line.

By providing you with access to granular, detailed information about profit, costs and orders, ClearSaleing helps you to develop insightful customer profiles that show which customers offer the most value and which customers are less profitable. Armed with this information, retailers can more accurately predict future customer behavior, as well as making more informed decisions on allocating advertising dollars across a wide mix of media.

Mine Data to Uncover True Business Intelligence

How does a customer’s payment type correspond to their lifetime value? What influence does an offer code have on a customer’s decision to browse and ultimately buy? ClearSaleing lets retailers track and link customer variables back to the specific ads they saw, so you can determine precise Purchase Paths, which means you can influence their behavior in the future.