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Product Recommendation Tips and Tactics for Your Ecommerce Business

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Product Recommendation Tips and Tactics for Your Ecommerce Business 1

There is no doubt that electronic commerce has opened new doors for businesses to expand their marketplaces from local to national and even international. Not only does it put your venture on the map for the global audiences to familiarize with your brand name and image, but you also become a significant influence for the online consumers. While some may consider e-commerce a totally different ball game, with the progress of technology and the integration of the World Wide Web, the transformation is increasingly becoming frictionless.

According to a recent report by Statista.com, around 40% of the worldwide internet users buy products and goods using their devices. In fact, global mobile app revenues are expected to surpass $30 billion in the coming years. In light of this, I would like to offer you some of the ways through which you can provide product recommendations that can make your e-commerce business experience for users and visitors more viable. So let’s take a quick look at each one of them:

·         Best Selling Items

There is always an item that outsells others on a store. Consumers across the planet have their preferences, and some even develop the habit of buying or ordering the same thing over and over again. However, there are definitely a lot of mechanics behind a product or brand becoming a favorite amongst the masses.

As a store putting your best selling items on your users or visitors recommendation list is a safe bet. It might even work out as a reminder for some to try and stock up on their items. Generally speaking, bestselling items are also a big crowd-pleaser. So even if people are confused about what to buy and what not to, a popular recommendation can get their cogs moving into action.

·         Customer’s Data-Based Filtering

A lot of e-commerce stores apply valuable customer data that is accumulated by them overtime to make their user’s experience more personalized. Hence when your customer is buying products or checking out items on your website, all of this data can be implemented to provide them with recommendations.

Firstly the recommendations are based on their history, which is tracked by you, so you are not pushing unwanted items in their way. Secondly, their own behavior is being utilized to prevent them from making the wrong decision. Frequent purchases and things which they commonly buy from your store can also show up in the section.

·         Other Customers & Their Purchase Trends

Apart from your online visitor’s own data, you can also use the compiled data of all your customers to create your individual trends. These trends help you understand the demand forces present in current times. The demand forces are obviously generated by customer tendencies and their buying patterns + behaviors.

So what you are ideally doing is offering your users with recommendations that are fueled by the analytics of your own website, which is a reflection of what customers are popularly enthused to buy. The chances are high that might also agree with other customers and order products that others are interested in.

·         Featured Suggestions

Featured products are those that your business as a whole wants to push forward to the consumers. These might also be backed by your business partners who are offering you large sponsorships for their products to be featured on your store. Other products included in your featured suggestions might also be those that are limited in stock, have an on-going discount, or some additional attached benefit to them for the customers.

However featured suggestion might not stick too well with your customers if they are not relatable to them, so it is best that you use these recommendations separately or after those that are more relatable to your users.

·         Related Items

Like I have already mentioned, customers nowadays are looking for an online shopping experience that pays heed to their preferences. The personalized experience is the big kid in town, and everyone is chasing after it. Personalized recommendations are a step further than just using customer data; in fact, it shows your eagerness to learn about your customers, their preferences, lifestyles, purchase patterns, and much more.

Consider this, if you have a Chatbot integrated with machine learning on your e-commerce store, then a lot of conversations in your record can offer you the insight to make your users experience online more personalized and relatable for them. If you would like to have relevant research to be presented in your product blogs, consider using a professional assignment writing service.

·         Hybrid Method

The hybrid method, as the name implies, uses a mixture of all the strategies that I have already mentioned. These can include featured items, items that show preferences from your customer’s data, and fashionable items that sell in large quantities at your store. However, you can still use some level of bifurcation when using this method by allowing a more significant percentage of relatable items in your recommendation section and using a lesser rate of those that are featured but might also not be relatable to your customer. Relevance matters a lot, the earlier you learn this, the better.

·         Updated Products

Product updates usually mean a new variation of an old product that is being made available to the customers. It can be a unique flavor, some further advancement, a modern benefit, and the list goes on. Other product updates can also come from your own stores such as stock running out, limited offers, bundle packages, and whatnot. In the end, these recommendations serve one purpose, and that is to notify your customers about the new and upcoming goods which they might be interested to know about.

Conclusion

Product recommendations are highly beneficial for your online stores as they can enhance not only your online visitors’ experience but also improve your daily sales figures. However, a lot of room is available for you to optimize your recommendations, and this means not only promoting sponsored goods but also giving your customers the personalization they have been asking for.

I hope the strategies mentioned above would help you to get your recommendation section sorted effectively. For more queries regarding the topic, please share with us your feedback in the comment section below.

Author Bio

Stella Lincoln currently works as a Business Manager at Dissertation Assistance where higher education student can acquire professional assistance from expert writers specializing in their subjects and topics. During her free time, she likes to indulge in the artistic representation of self by drawing graffiti.

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Stella Lincoln currently works as a Business Manager at Dissertation Assistance where higher education student can acquire professional assistance from expert writers specializing in their subjects and topics. During her free time, she likes to indulge in the artistic representation of self by drawing graffiti.