How to Implement Personalised Shopping Experiences for Your E-commerce Business

Gone are the days when one strategy works for everyone. Nowadays, everyone needs a personalised shopping experience and treatments that make them feel like a top priority. In your E-commerce store, if you have not integrated personalised services or customised preferences, now is the time to do so and save the later regret. By implementing a personalised shopping experience, you boost your store’s success and find loyal customers.

As per the reports, 76% of users get frustrated if they don’t get personalised services from the store. Hence, for customer satisfaction and loyalty, it is now a necessity to integrate a personalised shopping experience for your store. If you are wondering how you can implement or what to implement for a personalised shopping experience for your e-commerce store, here is the perfect guide for you.

First, let’s understand the value of personalisation in e-commerce.

Personalisation is not just about getting your name in an email you receive. Nowadays, personalisation goes beyond this. In the present scenario, shoppers want customisation in their history as per their order preference. With that, they also want customised website content and promotional activities. Fascinating, right! Well, these all together can lead your store towards success. As per certain reports, 89% of leaders believe that if you offer personalisation, then the next three years will be your game-changing years.

Personalised customer experience offers benefits such as:

1. Reduced customer acquisition cost: As everyone knows, recent changes in the cookie policy and competition are causing much pressure in attracting new customers. For the same reason, businesses are contributing more budget for marketing and advertising. However, research has shown that businesses that have tailored their marketing, messaging, email, and advertising can significantly lower costs. You may find it shocking that personalization can reduce CAC by as much as 50%.
2. Increased loyalty and customer satisfaction: One can gain customer loyalty and satisfaction by providing offers that are relevant and accurate as per user’s needs. It is reported that people are mostly not satisfied with the offers they get. The generic notification won’t help you increase your growth. Instead, brands that use first-party data to improve customer experience are making their customers stay with them for a longer period and increase customer loyalty and satisfaction.
3. Higher average order values: It is obvious that if you offer a personalised experience, then you increase your order value and get more satisfied customers in your bucket.

Now you may have comprehended how important it is to implement personalisation in your e-commerce business.

• First-party data to help you know your user more:

In the 21st century, users don’t trust anyone with their data, as well as leading technology companies have increased their privacy protocols. In this situation, collecting information may become conflicting. But with these three ways, you can collect user data and offer a personalised experience.

• Direct customer interaction: When users share their feedback or communicate with direct channels, it can benefit you in knowing customer preferences and pinpoints.
• User accounts: When customers create an account, you can get access to their information and hence get information.
• Loyalty programs: Loyalty programs help you gain trust, as well as help knowing user behaviour and activities.

In Shopify, we have a customer data model in which all the data gets saved. One can see the emails users have opened, points they’ve earned, sales channels they’ve used, responses they’ve given, etc. That is why in Shopify there is no need to add third-party plugins, apps, or other things. With Shopify, you get everything in one place.

• Leveraging data for personalisation:

One can use information like the customer’s sales channel interaction, browsing history, likes, dislikes, buying preferences, etc. You can use all this information to craft and offer a customised experience to users and make them stay with you a bit longer.

Let’s break it down with an example: If you’re someone who wants to convert the leads into customers, you can get help from Shopify’s segmentation as it groups up the consumers who haven’t made the purchase. The unified data in their Shopify customer profile helps in offering a personalised experience.

• Referral channel they visited: Imagine if a subscriber has visited your profile through Instagram reels; you can show them some famous influencers using their products.
• Email sign-up: If a user registers for an email for a 10% discount on a particular product, then you can constantly remind them about the product leaving the site soon as well as the offer ending soon. This creates an emergency among consumers about the product they are thinking of buying.
• Collection pages: As you have the information on the user’s activity and browsing history, you can offer them suggestions on what they want to buy. 
• Viewed pages: If a user were searching for a shipping policy, you could send them notifications, emails, or messages about the same. This helps create a trust that your services are valid and mitigates fraudulent factors.

• Integrating advanced technologies:

You may have collected all the data, but now is the time to think about how to use it. In certain platforms, you need third-party applications or other tools, but in Shopify, you get everything in one place. It helps you collect data as well as how to utilise that data without the need for any third-party tools. With Shopify’s inbuilt advanced technologies, you can utilise customer data or receive more accurate data on customers.

• Shopify has tools like Shopify Audience, Shopify Collab, and Shop Campaigns to attract customers with precise product recommendations.
• In-built marketing tools like Klaviyo or Shopify’s email tool send customised emails as well as create marketing campaigns as per user needs.
• To increase customer loyalty, Shopify’s tools, like Smile and Ruby, prove to be the most handy. With that, the Managed Markets tool also offers location access to personalise user content as per their location.

With these integrated advanced technologies, Shopify can help merchants utilise and get customer data as well as utilise it within the system apps.

• Innovative Personalisation Ideas to Try:

  • Geotargeted promotions: By using Managed Markets, you can offer customers products as per their location. Hence, this helps in suggesting products as per the precise weather conditions, different accessories, etc.
  • Behaviour-based triggers: This works in the most efficient way. One can share the product recommendation as per the search history or products customers were browsing through. If a person searches for gifting ideas for their mother, you can share the suggestion of people who have frequently brought something for their parents or precisely for their mother. In this way, you can grow your customers and create a group of satisfied customers.
  • Dynamic website content: One can also offer personalised dynamic website content. In it, you can observe past behaviour or order history, and based on that, you can change your website content as per specific users. As in if someone has qualified for free shipping or has used the free shipping option once, you can again share with them the eligibility criteria for free shipping. As the page conveys the same message again and again, users get attracted to buy more to fit into the criteria, and eventually, they get more profit.
  • Personalised video content: With frequent or excessive use of Instagram, TikTok, and other video-sharing platforms, people get more attracted to buying something if they have seen a video of it.  You can use this technique and attract more customers too. You can suggest some influencers using the product customers were browsing through, or you can offer products relevant to them.
  • AI-driven product recommendation: For instance, if your customer shops with you for the first time and you don’t have data about them or their specifications, AI tools help you with personalised product suggestions. AI tools analyse the user data and, based on that, help you suggest options that customers most probably buy. For example, if someone has brought a vase from the platform, then you can suggest a coffee table on which they can put their vase or artificial flowers they can put in the vase, etc. In this way, AI tools help you make personalised suggestions to users.

These are the ways you can use your Shopify store to offer a personalised shopping experience.

Conclusion

As stated above, personalisation is not an option; it is the necessity to integrate it. As everyone needs personalised suggestions, one has to implement these above-given techniques into their strategies to attract more and more audiences. Step ahead in the world with trends and make the most of your resources. If you get confused, in between contact, Digitalrooar, and we will help you from start to end.