The use of product recommendation engines has come into popularity amongst small to medium-sized businesses, who’ve seen how this website optimization technique is reaping the benefits for them. Items that are suggested by recommendation engines may be based on other users ratings, product promo or sale, availability and other enticing offerings that may make the person want to purchase the items recommended. If you’re not sure how and if a product recommendation engine can benefit your business, read on to understand better what it means and how it can be used.
(Courtesy of dsearls)
What are the Benefits of Product Recommendation Engines?
Business uses product recommendation engines to entice users to stay on their website and go further down the conversion funnel.
Product recommendation engines custom tailor your shopping experience based on the your preferences and then correlate it with the products and services available on the site. Information is filtered through the database of the website and, with your interests in mind, comes up with a list of products and services that it considers likely to appeal to you.
Another method of using product recommendation engines is to link with other websites who are also using the engine to produce a link between websites in order to increase internet traffic. This ensures more visitors and the more time the website is visited, the more likely it is to be rated highly by search engines. The result will lead to even more traffic and more sales.
How Does a Product Recommendation Engine Work?
They typically utilize three types of approaches to come up with the most accurate results for a website’s potential customers.
Collaborative Filtering
Data is gathered from a pool of users, which assesses their behavior online, their activities, and their preferences. All the information collected is then filtered and submitted to a platform which categorizes them into products that a group of users may like or dislike.
Upon visiting the site, it will determine which group of visitors you belong to. From there is provides custom-tailored recommendations based on similar users.
Content-based Filtering
With this type of approach, product recommendation engines use complex algorithms so that only activities, browsing history, and preferences attributed to you alone are considered. The more time you spend browsing the site, the more effective the approach becomes. Recommendations will have little to base its recommendations on the first few times you visit a site. During those instances, the results provided by these engines are likely to be not as accurate as you would desire it to be.
Hybrid Recommender Systems
The hybrid recommender system applies the two aforementioned approaches into its results. Because the web behavior, activities, and preferences of similar users as well as those attributed to the actual target customer are both considered, the product search engine has more information to work with. This results in a much better chance of improving the accuracy of results.
A variety of predictions can be made when you install a product recommendation engine on your site. Sites such as Amazon has successfully utilized this website optimization technique to increase sales – using “Related Items’ and “Items to Consider” in its recommendations.
Employ product recommendation engines on your site to reap these benefits of a bigger profit margin.
Conclusion
It’s crucial to know that everyone may think that high traffic means that you’ll have the money rolling in, but it’s important to never disregard these tools, because they are extremely help. You should always be testing. because everything in internet marketing ends up changing whether it’s SEO or website optimization. Product Recommendation Engines is just another way to increase your revenue by suggesting something similar to something someone else is already interested in whether it’s an accessory or a better version of something they already have, so don’t stop at just obtaining high traffic, make sure you’re increasing your revenue in multiple ways.
Ruben Corbo is a freelance writer that writes about technology, gaming, music, and online marketing especially topics about A/B split testing and how to run multivariate tests. Visit Maxymiser.com to learn more about these traffic to sales conversion tools like Product Recommendation Engines. Ruben is also an avid gamer and music composer for short films and other visual arts.
