Personalized Product Recommendation Quiz for Shopify Stores: A Complete Guide

Personalization is key to delivering an extraordinary shopping experience. Nearly 90% of consumers are likely to purchase from brands that provide relevant product recommendations. Our eCommerce experts created a product recommendation quiz for a client’s Shopify store, offering hair care products.

We suggested the hair treatment quiz personalizer after studying the client’s business needs and growth expectations. As a result, our custom Shopify app helps the client enhance user engagement and convert faster for their hair product store.

This blog explores the Shopify app development process, particularly designed to help shoppers find the perfect hair care products tailored to their needs. Without further ado, let’s get started.

Introducing The Hair Care Product Recommendation Quiz for Shopify

At The Brihaspati Infotech, we created a Shopify product recommendation quiz helping store visitors simplify their search for the best hair treatment products. Let’s look at the main steps leading to the discovery of personalized hair care products:

Step 1: Choose The Type of Hair Loss 

The first step enables users to select the type of hair loss they are suffering from. Thus, laying the foundation for the discovery of personalized hair care products for your needs.

Step 2: Profiling Users

We created an ideal user profile based on age and earlier hair treatments.

Step 3: Map the Severity of Your Hair Loss, Allergic Reactions & More 

A scoring scale is used to define the severity of their hair loss condition. Also, we ensure users only proceed to the next step if not allergic to Minoxidil as it’s a key component of hair care products.

Step 4: Study Hair Loss Symptoms and Overall Impact 

This step captures various symptoms and the overall impact of hair loss on the user’s mental and physical health.

Step 5: Product Quiz Submission & Personalized Recommendations

After completing the last few steps, the hair treatment survey is submitted. Consequently, users witness a thank you page summarizing your hair loss condition and a personalized list of hair care products for purchase. 

Implementation Process for Hair Product Recommendation Quiz for Shopify Stores

At The Brihaspati Infotech, our Shopify developers worked with the hair care brand to build a product recommendation app for driving user engagement and conversions. 

Here’s an overview of the development process:

1. Survey Creation for Data Collection 

We created a hair treatment quiz app using the Django Python framework. Also, the user data is stored in a MySQL database through the Python backend. 

2. Backend Algorithm Development  

We built an eCommerce product recommendation engine using Python to process customer inputs to generate personalized product recommendations.

2. Shopify Integration via API

We integrated Shopify’s API with the Python quiz application to fetch real-time product data such as descriptions, prices, and images, matching them to the user’s quiz responses.

4. Front-End Development

We built a clean and responsive user interface using HTML, CSS, and JavaScript. Thus, creating a seamless experience for users to complete the quiz.  

6. Testing and Deployment

We tested the hair treatment products recommendation app using Python’s UnitTest and PyTest frameworks. Later, it was deployed on AWS. 

7. Performance Optimization and Monitoring

We optimized the app using caching techniques. Also, we continue to monitor its performance, making improvements based on user feedback.

Benefits of the Personalized Product Recommendation Quiz for Shopify Merchants

1. Enhanced User Experience: Our hair product quiz for Shopify generates a personalized experience, resulting in higher user engagement and customer satisfaction.
2. Improved Conversion Rates: Personalized recommendations result in higher conversion rates as users are more likely to purchase products that meet their hair care needs.
3. Increased Brand Loyalty: Customers are likely to make repeat purchases and turn brand loyalists if they receive a personalized shopping experience. 
4. Data-Driven Insights: The quiz gives insightful information about evolving customer preferences, which can help improve hair care products in the future

Who Can Use the Product Recommendation Quiz?

Product recommendation apps have become a popular solution for eCommerce stores. Let’s discover who can benefit from our Python app development services.

Implementation Challenges for Product Recommendation Quiz

We successfully created the Shopify product recommendation quiz app. However, it wasn’t without facing any challenges. Let’s discuss a few problems we encountered during the process: 

1. Data Collection from Product Recommendation Quiz

Data security remains our central concern. Collecting and managing sensitive customer data (like hair loss concerns) comes with privacy concerns. However, we ensured compliance with privacy regulations by collecting data with user consent and following GDPR standards.

2. Integration with Shopify’s Backend

Integrating the hair treatment quiz results with Shopify’s product catalog for real-time product recommendations can be complex. However, our integration specialists used Shopify’s APIs to pull product recommendations based on quiz answers.

Frequently Asked Questions

Ready to Personalize Shopping Experience with Product Recommendation Quiz?

Our product recommendation app helps shoppers find the perfect hair care products based on their unique needs.  Faster and more efficient, the custom Shopify app improves the shopping experience and increases conversion rates for our hair products client. 

At The Brihaspati Infotech, our Shopify developers help retail businesses scale new growth opportunities with personalized product recommendation apps. If you are looking for a similar or custom eCommerce recommendation software solution such as ours, we are just a call away to help.

Contact Us