Shopify has allowed businesses to make huge strides by establishing themselves in the eCommerce industry. This eCommerce platform lets companies manage and sell their products through an online store. Shopify’s app store also has a wide range of apps that are used for different purposes. From adding countdown timers to providing instant personalizationto customers, these apps are tailor-made to enhance the customer’s shopping experience.
Business owners must keep the customer-centric and customer-first approach in mind when developing their businesses. Personalizing the buyer’s experience is the most important step in this approach.
Why Is Instant Personalization Important?
The key difference between online and offline stores is the human touch. Let’s take a smartphone showroom as an example. When the buyer goes through the features of a particular phone, a sales representative also shows them other phones that may have better features or phones that have similar features at a lower price.
The sales representative might also recommend certain products, like a phone case, that would go well with the phone. These extra inputs and recommendations help the buyer in making better decisions while shopping. At the same time, the showroom is giving the customer a personalized and customer-centric experience.
However, most of the online stores on Shopify fail to give importance to customer personalization.
According to an online survey, 80% of the customers are more inclined to buy a product if the brand provides a personalized experience. Plus, 44% of the buyers agreed that they would come back to buy more. Imagine how much you will miss out on if you delay or neglect the buyer personalization step.
Enhance Your Customer Experience with Instant Personalization
AI-powered solutions are leading the personalization sector. Using artificial intelligence, you can maximize your sales by improving product discovery on Shopify. Here are a few ways of utilizing such AI-based tools.
1. Product Recommendation
As seen in the earlier example, product recommendations help in showing more products to the customer. This way, you can increase your product discovery on Shopify and can also hold on to the buyer’s attention and make them stay longer on your online store.
AI-based recommendation tools generate real-time insights on the customer’s journey on your website. Using these insights, it recommends various products to the consumer.
Personalized product recommendations may include relevant products based on the consumer’s cart or top products that other customers have recently viewed. This way, you can upsell and cross-sell your products.
Apart from product recommendations, product tags also play a key role in product discovery. Each product is associated with numerous tags that define it. Hence, few tags might be common for different products. These clickable tags link themselves to other products having the same tag.
With product recommendations and tags, buyers can view products that match their preferences in real-time. This increases their trust in your brand, which makes them repeat buyers.
Hyper-personalization takes regular and standard personalization to the next level. Using hyper-targeted marketing automation techniques, personalization tools can target the specific interests of a customer and use that to refine the recommendations.
Let’s take the smartphone example again. Regular personalization strategies will recommend different smartphone options to a potential buyer.
Hyper-personalization and hyper-targeting, on the other hand, analyze search history to know buyer preferences and display recommendations based on that. So, say a customer searches for an iOS running smartphone, with hyper-personalization, the recommendations might show other iOS running phones and accessories instead of other unrelated items.
This process of instant personalization enhances the customers’ shopping experience and increases your sales.
3. Unique User Profiles
Some of the best AI-powered solutions/tools further improves a customer’s experience by creating individual user profiles. Every time a customer visits your Shopify store, a unique profile is created for them.
This deep user persona contains all the interests of a buyer based on their journey on your website. All these preferences are in the form of clickable product tags.
So, a buyer persona on a smartphone store on Shopify might show tags like iPhones or AirPods if the customer has shown interest in those products.
Apart from user profiles, shoppers also receive automatic custom notifications about sales and discounts that match their preferences. Real-time shopper profiles and instant personalization are the key to higher engagement and conversions.
Unique user profiles and instant notifications let the customer know that their presence on your website is valued and appreciated. They might even recommend your store to others, thereby increasing your engagement rates.
4. Semantic Search
Shoppers have sometimes faced an issue wherein their typed item in the search box isn’t related to the displayed items. One of the reasons for this to happen may be the inability of the search engine to understand the exact keyword in the search phrase.
With semantic search techniques, AI tools can understand the meaning and intent behind the search phrase and display products according to the users’ likes and preferences.
When the buyer knows that the company can understand what they want, it increases their trust in you.
Real-time insights and instant personalization with AI tools help companies on Shopify to meet and even exceed the customer’s expectations. It also bridges the gap between the online and offline shopping experience.
ShopSense understands all these challenges and helps you overcome them using state-of-the-art AI-based recommendation tools.
ShopSense’s Shopify app improves your product discovery, boosts your conversions, and provides a quality and personalized experience to all your customers!
With an AI-first approach and strong expertise in AI frameworks, RecoSense is a one-stop partner for end-to-end Data Intelligence Solutions. Our industry-unique cognitive computing platform based on Natural Language Processing and Machine Learning frameworks offers Intelligent contextual interpretation of the Content & Users.
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