Case Study: Timberland achieves 66% boost in search-driven revenue with EasyAsk

A EasyAsk Case Study

Preview of the Timberland Case Study

How Timberland Faced and Conquered the Challenge to Provide Higher eCommerce Revenues

Timberland, a V.F. Corporation brand, identified site search as its “Achilles heel” after an internal usability study showed search was hindering online sales. Frustrated with SOLR on IBM WebSphere eCommerce and encouraged by The North Face’s success with EasyAsk, Timberland chose EasyAsk’s semantic eCommerce search to replace SOLR and improve shopper experience.

EasyAsk implemented its semantic search, Merchandising Studio, Analytics suite and Search-as-you-Type autocomplete, enabling business users to run merchandising campaigns and reduce “no-results” pages. The result: a 66% increase in revenue from search, 95% of internal searches returning good results, a 54% rise in search conversions, a 32% reduction in bounce rate, search usage up 17% and 70%+ more transactions — with ROI realized in weeks.


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