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search|hub dramatically improves revenue for e-commerce by up to 39.6%

We decided to put search|hub to the test, and…

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.

Experimental setup

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.

Results

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.

Get in touch to learn how we can help your online business with better search.

www.searchhub.io proudly built by www.commerce-experts.com

By Andreas Wagner

Experte für Machine Learning und Big Data, der bereits sein zweites Startup erfolgreich an strategische Investoren veräußert hat und nun mit CXP erneut durchstartet. Ausgewiesener Experte für die Analyse und Optimierung von Solr/Lucene oder Elasticsearch.