With the advent of the internet, eCommerce has become a popular way to purchase almost everything with just a few clicks and get it delivered directly at home.
Building an eCommerce website can be a profitable method to generate income, however, there is a lot of competition online.
If you want to create a successful business, you need to focus on your users experience. When visitors arrive on your eCommerce, they expect to find what they are searching right away.
Also, most of the times, they have not a clear idea about the exact brand or product they want to buy. They just type some keywords related to what they have in mind and let Google (or the internal search engine of the eCommerce) recommends what to purchase.
If you think about it, when you are looking for something, many times you just look for the product you desire on Google rather than visiting specific eCommerce sites. You trust Google will recommend you the best place to buy what you want.
How You Can Improve the Sales on Your eCommerce
The main goal of your eCommerce should be to help your users find right away what they need and recommend them related products, based on their broad ideas.
Based on the association rule learning, your website should offer related products to your users.
For example, when I type into Amazon search function the keyword “iphone”, I get the following screenshot:
This means if I want to buy an iPhone, I likely want to purchase also a case and a charger.
This principle is applied also inside supermarkets. It has been proven that a customer who buys onions and potatoes (based on sales data), they are likely to buy also burger meat. The same information can be used for marketing purposed too, such as product placement or pricing.
Another problem is that often the users don’t know what product they are looking for.
If you have a website that offers a immense list of different products from various categories, such as electronics, clothes, or books, it needs to be able to find out what the customer is searching for.
If a user is searching for a keyword like Sony, the query can be applied to categories like mobiles, electronics, or computers, with that brand. Here your website should be able to identify the input to increasing the relevance and precision of the search results.
Your should provide search suggestions that include the category to help your users identify and find the right category during their search:
How Can You Apply These Principles to Your eCommerce?
With so many products available in an online shop, the average user overlooks many interesting items without appropriate recommendations. Association rules help creating a powerful recommendation engine for your eCommerce and increasing your sales.
However, finding interesting association rules is a hard task and requires an algorithmic approach.
Sigmarules is a service which helps you building a recommendation engine for your online shop in matter of clicks.
With the engine, built of your historical market basket data, you will get the results via a clear and simple JSON based API. Once you created a recommendation engine, you can use it on your eCommerce, sending an AJAX request every time you need a new recommendation for a set of item ids.
Building a successful shop online passes also along the understanding of your users psychology, offering the most relevant products, based on their queries.
Of course, you need to worry first about building a website that works in terms of usability and design.
Are you running an eCommerce?
What is your experience?
Have you ever heard about Association rules?
Please share your views in the comments below, thanks!