Searchspring: Leveraging Personalization to Boost Conversions and Online Revenue

Learn how Searchspring's personalization engine allows you to show the right products to the right customers and deliver the ultimate shopping experience.

By Brennan Heyde | February 5, 2024 | 4 minute read



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Longtime Miva customers may already be familiar with Searchspring for their best-in-class Search results, powerful visual faceting on search/category pages, and flexible year, make, model lookup tools.

However, Searchspring is far more than just a search tool. It’s evolved into a personalization engine that is capable of personalized product recommendation across any page, email recommendations, and, most importantly, the ability to run merchandising campaigns to allow you to show different products to different customers based on rules you define which may include a customer’s location.

Leveraging these advanced tools allows you to show the right products to the right customers, which will ultimately provide a better shopping experience, leading to higher Average Order Value (AOV) and increased online revenue.

Why Personalization Matters

Enhanced Customer Experience: Personalization tailors the online shopping experience to the preferences, behaviors, and needs of individual customers. This leads to a more enjoyable and efficient shopping experience, similar to the personalized assistance one might receive in a physical store.

Increased Engagement: When customers see products and recommendations that align with their interests, they are more likely to engage with the website, spend more time exploring, and return for future visits. Personalization helps capture and maintain user attention.

Improved Conversions: By presenting customers with products that are relevant to their preferences and past behavior, personalized recommendations can significantly increase the likelihood of a purchase. When customers feel that the platform understands their needs, they are more inclined to make a buying decision.

Building Customer Loyalty: Personalization fosters a sense of connection between the customer and the ecommerce platform. When users feel understood and catered to, they are more likely to develop loyalty towards the brand, leading to repeat business and positive word-of-mouth recommendations.

Competitive Advantage: In the highly competitive ecommerce landscape, providing a personalized experience sets a business apart. Customers are more likely to choose a store that caters to their individual preferences over one that offers a generic shopping experience.

Increased Average Order Value (AOV): Personalization techniques such as cross-selling and upselling can lead to higher average order values. By suggesting complementary or upgraded products based on a customer's preferences, businesses can increase the value of each transaction.

Data Utilization: Ecommerce personalization relies on analyzing customer data, including browsing history, purchase patterns, and demographics. This data-driven approach allows businesses to make informed decisions and tailor their strategies to meet the specific needs of their target audience.

Customer Satisfaction: When customers find what they're looking for quickly and easily, and receive personalized recommendations that match their preferences, it contributes to overall satisfaction. Satisfied customers are more likely to become repeat customers.

Merchandising in Searchspring

The best way to provide personalization to your Miva store on Searchspring is to use Merchandising Campaigns:Searchspring Visual Merchandising

When you create a new campaign, you can choose a global campaign, which will run site wide, or a more focused campaign, which is typically run on a specific category of search results page.

You can focus your campaign on one of 5 areas:

  1. Search Term
  2. Geo Location
  3. Specific Category
  4. Landing Page
  5. Segment

Searchspring Edit Visual Merchandising

Searchspring Edit Visual Merchandising Campaign

Once you’ve defined your area of the site to target, you can then personalize the products your customers see based on a rules engine:

Searchspring Product Boosting Rules

Product Recommendation

Another way to provide personalization on your Miva store is via Product Recommendations. Showing the right products to your customers is essential to growth, AOV maximization, and revenue.

Here’s an example of related products being displayed based on recent behavior to show the visitor the best matched products specific to what they’ve been looking for:Searchspring Blog Graphic Products

Personalized product recommendations from Searchspring play a crucial role in delivering a tailored and satisfying shopping experience, driving customer engagement, and positively impacting the bottom line any Miva store. 

Interested in learning more? Contact us today.

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Author's Bio

Brennan Heyde

Brennan Heyde is the VP of Payments & Strategic Partners at Miva. His goal is to help Miva customers increase revenue through payments and solve important customer problems via integrations Miva supports.

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