In brief: The long tail refers to the large number of niche products that sell infrequently on their own but often generate strong sales collectively. Online retailers can offer these ranges because they are not constrained by shelf space. Without PIM, maintaining so many items is rarely cost-effective.
The term was coined by Chris Anderson, who described in 2004 how online retailers generate revenue from large numbers of niche items. In physical retail, only frequently sold products justify their shelf space. Online, a retailer can offer tens of thousands of items, each purchased only a few times a year.
Niche items can only be found if their data is complete: customers search for specific attributes, standards or compatibility requirements. At the same time, the low revenue per item does not justify extensive manual maintenance. A PIM system addresses this through supplier imports, inheritance, bulk editing, validation rules and, increasingly, AI-powered enrichment.
An online spare parts retailer carries 80.000 items, of which 70 percent sell fewer than ten times a year. Data sourced directly from manufacturers, consistent classifications and automatically generated text keep maintenance effort per item low, while filters help customers find the right part.
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