searchhub dramatically improves revenue for e-commerce by up to 39.6%
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We decided to put search|hub to the test, and the staggering results are in. By using search|hub in combination with one of our customers current search solution our customer made the following gains:

  • 39.6% improvement on total revenue
  • 39% improvement on revenue per User
  • 25.5% improvement on purchases
  • 6.7% improvement on total clicks on search results

Over a period of 14 days, with almost 45,000 unique visitors, search|hubs self-learning query intelligence API helped to increase total revenue by 39.6% and purchases by 25.5% with a 99% confidence score. This impressive achievement is solid evidence that search|hub improves revenue and user engagement for online retailers.

How We Determined SearchHub's superior performance - the Experiment

For our comparison, we performed an A/B test using Optimizely to ensure unbiased results. The traffic allocation was set to 50% for their current onsite search solution and 50% for search|hub in combination with their current search solution.

We instituted a test period of two weeks. During the test period, we were tracking the following goals, with total revenue set to be the primary goal of the test:

  1. Total revenue (Primary goal)
  2. Revenue per Visitor

Before starting the A/B test, search|hub was trained based on almost half a million searches with clicks and add-to-basket actions, extracted from existing search engine query logs. During the A/B test, search|hub used clicks and add-to-basket actions to continuously learn from user behavior.


The results of the A/B test are staggering:

  1. 39.6% improvement on total revenue
  2. 39% improvement on revenue per User
  3. 25.5% improvement on add to basket
  4. 6.7% improvement on total clicks on search results

(search|hub-A/B-Test — customer site search with and without search|hub)

The results clearly show that while having a manually optimized state-of-the-art search engine can be of benefit, having search|hubs self-learning query intelligence API as a layer on top of it helps to boost user engagement and revenue even more.

What we see here is a great collaboration of humans and machines. People have used their onsite search tools to optimize queries, add synonyms & pre-processors and search-campaigns to the system, which were also optimized by search|hub. On top of that, search|hub automatically cleans, clusters search queries, and optimizes the search results for all queries by applying automatic query rewrites.

IMPROVE YOUR SEARCH TODAY — Try search|hub now

search|hub dramatically improves user engagement and revenue for e-commerce sites. It adds an intelligent layer to your search infrastructure and accounts for business rules, synonyms and extends them to optimize search results across all queries. The results of A/B testing shows good search is important and increases user engagement and revenue for online retailers.

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