Any eCommerce business owner or seller will have to analyse huge amounts of data to run an efficient business. This can be used to track searches, monitor the seasonality of your products, time promotions, and keep your customers happy.
58.4% of internet users buy something online every week. Although this means that buyers are very open to eCommerce businesses, it also means that competition is intense. Data optimisation and insights can help every eCommerce businesses owner to increase sales and enhance their customer experience. In this guide, we will detail some ways that data insights can help eCommerce businesses to thrive.
Track most frequently searched terms
Data can be analysed to monitor which search terms customers are searching for on your website in real time. These popular searches will give you insights such as how well each of your products are performing, as well as which items have more popular search terms in their description.
This data can help you when you are uploading more stock, as it can give you an idea about what sort of keywords customers are searching for.
Track your weakest searches
Sometimes, customers will search for a product on your store and see zero results being returned. This can be because:
- Your store does not carry this product
- You have not included the search terms in your product title or description
Getting insights on your weakest searches can help eCommerce business owners in two ways. Firstly, they can amend existing product descriptions based on the terms you learn from your data insights. You can see which words your customers are searching for, and add them to your listings.
The second way you can respond to your weaker searches is by noting the demand and adjusting your inventory. If lots of people are all searching your store for the same thing, you could give some consideration to the idea of adding it to your catalogue.
Predict trends and demand
Data insights allow sellers to predict and prepare for oncoming trends. For example, insights can take datasets from previous years and see which items become popular during which season, and which sell the worst.
Using data insights and optimisation, sellers can make informed decisions about stock and promotions. This can allow them to upsell or increase the stock of items during the periods when they usually sell well, or schedule sales and markdowns during the times when these items become hardest to sell.