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Analytics data is part and parcel of running a successful online shop. As a site manager, you need the means to be able to feel the pulse of your shoppers, know their search and purchasing behaviour, their demands, and to stay on top of emerging trends.

Qwiser™ Analytics gives you what you need in a series of reports that provides all the information you really need to know – distilled, pure bottom line data you can immediately understand and use to make informed, fact-based marketing and business decisions based on real-time data.

Below are just some of the steps that can result in light of Analytics information.

 
Optimise keyword campaigns
Hold promotions on slow sellers
Add banners to let shoppers know you have the items they’ve been asking for
Select the most effective sales campaign following testing and comparison

Learn more about Analytics.
 

Analytics data does double duty as it is fed into Qwiser’s Machine Learning module where the information it provides is used to cleverly adjust the order in which results are displayed to shoppers. These processes take place automatically.

Machine learning acts as a real-time merchandising tool, continually promoting the most appealing items to your shoppers for each query.

For example, when a shopper submits a query for “Vitamin C” in a vitamin supply shop, if “Vitamin C with rose hips – 500 mg. tablets” has proven to be the most popular with the site’s shoppers when searching for “Vitamin C”, it will be displayed at the top of the first page of results in response to the query.

Immediately finding the truly desired item increases the likelihood the shopper will make a purchase.

Qwiser Machine Learning-adjusted results reflect the real-time interests of shoppers and as such, display order changes over time. Importantly, unpopular, albeit relevant, products are pushed further down in the results list so they do not take up valuable page real estate.

 
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