Shopify merchants have already begun using hyper-personalized upsell apps, such as LimeSpot, to boost conversion rates and customer retention by up to 12%.
Instead of treating all customers exactly the same with the same product configurations and customer journeys, why not create a 1:1 personalized shopping experience for each customer?
In addition to personalizing each customer’s visit, you can also segment customers into groups based on their shopping behaviors to improve product suggestions and customer journeys, using data from similar customers to improve each segment’s experience on your site.
Let’s look at LimeSpot’s powerful audience segmentation capabilities to target each audience with personalized content on your store’s website, in emails, and even in ad retargeting.
Let’s imagine you’re a customer landing on a Shopify website that sells clothing.
This Shopify site has installed an app, such as LimeSpot, that uses intelligent data-driven product suggestions.
From the customer’s point of view, they will see personalized product suggestions throughout the store’s website, on the home page, in “personalized sections” or “featured products” that are based on products they’ve already viewed or purchased before.
As the customer continues browsing through the online store, LimeSpot or a similar product suggestion tool, will analyze their data and make adjustments accordingly to show them more relevant product recommendations.
For example, if a customer is spending a lot of time looking at a particular clothing brand’s t-shirts, the data-driven tool may start recommending more similar products from that brand.
The benefits of using LimeSpot are clear — your customer will receive a personalized shopping experience, leading to increased engagement, customer loyalty, higher average order values, and increased customer satisfaction.
It’s a win-win situation for Shopify owners and customers alike!
LimeSpot offers a true 1:1 personalization for each customer, meaning what they see on their home pages and explore pages will be unique to their previous browsing habits and personal history.
However, the aim of segmentation is to fill in the gaps in each customer’s journey.
If a new customer has limited experience on the website, then segmentation can help guide them down paths they haven’t explored by comparing similar paths other customers in their segment have followed.
Segmentation is also useful for returning customers, offering them new products and images based on their segment’s behavior as well.
Ecommerce segmentation, which leads to greater customer personalization, is driven by the data sources and metrics you want to track and monitor using LimeSpot—such as browsing history, time spent on site, referral source, amount of money spent, returning vs. new visitor, etc.
For example, here are a few metrics to help you determine how to categorize your different customers into new customer segments:
Once you have gathered enough data from customer actions on your store, then you can group customers into smaller segments, which will help you market to different groups of customers more effectively.
There are literally hundreds of audience segments you can create, however, to get started, these are the most essential segments to begin tracking.
Keep in mind these audience segments will affect each customer’s view and experience shopping in your store.
Additionally, you can use these segments for different email marketing campaigns and promotions for maximum effectiveness.
Splitting segments up by different customer demographics is one of the most popular forms of segmentation.
While it may be difficult to gather this information from your clients, there are many ways to infer the following demographic info to segment customers into different groups.
It can be difficult to determine your customer’s age, however, you can set up segments based on products related to certain age groups.
For example, anti-wrinkle serum may indicate your customer is older, whereas acne creams may indicate younger customers.
Using this information can help customize home page designs to be more age-appropriate for each customer.
If you want men and women to see different versions of your store for optimum relatability (for example, women’s items featured on the home page for female customers), then segment your audience by gender.
This can be achieved by creating segments based on whether people click on “men’s collection” or “women’s collection.”
You may want to create a “big spender” audience segment for customers who have spent the most amount of money.
Take into account order counts, buying behavior, total order value, total discounted value, and more, to organize customers into different levels of budget/wealth.
Using LimeSpot’s geographical targeting will ensure customers are seeing seasonal and climate-appropriate items in your store.
For example, people in the northern hemisphere will see summer-related items while people in the lower hemisphere will see winter-related items.
You can tailor your Shopify store for both new and returning visitors, allowing each audience segment to see different products and customer journeys that offer them the greatest customer experience.
For example, new visitors can benefit from seeing product images with more social proof and reviews to help them convert to paying customers.
Because returning customers have already engaged with your store, their home page will be filled with product recommendations based on their shopping history and previous engagements.
Similarly, their experience might be more focused on “new” products, and less on “convincing” them to become first-time buyers.
If you’re running a pet store, you can create segments for “dog people” and “cat people” so that when a customer lands on your website, they’ll either see all dog products, or all cat products to instantly get their interest and attention.
This segment is related to familiarity and engagement. For example, let’s say a returning visitor goes back to your website, where they previously abandoned their cart.
For abandoned cart visitors, they will see a special notification on top of the page telling them “You have 4 items in your cart. Checkout now to get 25% off your order.”
Your customers come in different shapes and sizes, from petite to plus-sized.
By segmenting audiences based on different sizes and clothing styles, you can customize their experience to only show them clothing items that are sure to fit their unique body type, increasing your odds of leading your customer down the funnel to make a purchase.
For example, if your customer has made repeated purchases for the same brands, such as a specific type of face cream, then you can lump that customer into a brand segmentation. When they visit your website, their favorite brand will be featured prominently throughout the website.
If you’re interested in influencer marketing, then you can create different audience segments for each influencer working with your affiliate program.
For example, customers who click on a specific URL from the influencer will be welcomed with a themed website store that’s based on the influencer’s product suggestions.
Download your free audience segmentation eBook.
LimeSpot can be used to customize each customer’s shopping experience on your website.
Previously, we mentioned that each home page experience will be different for each customer, however, the homepage isn’t the only place that can include personalized product suggestions.
Using LimeSpot, Shopify merchants can embed and insert recommended products on every page of their website, including the shopping cart page, thank you page, and blog page, and embed product suggestions into SMS messages and emails too!
LimeSpot is an all-in-one eCommerce conversion platform and data-powered product suggestion app that creates a 1:1 personalized shopping experience across Shopify, email, and SMS messages.
Shopify merchants use LimeSpot to increase their conversion rates, AOV, and customer engagement through product recommendations, upsells and cross-sells, and content personalization.
Create different audience segments based on various metrics and user behaviors to deliver the most relevant and personalized shopping experiences.
Download your free 15-day trial today and watch your conversion rates and customer satisfaction increase.