Personalized Recommendations

Hit your audience right in the feels

Harness the power of AI recommendations to offer your customers exactly what they need. Use AI to formulate suggestions based on shoppers' past behavior, purchase history, search queries, and browsing routines.
LET'S CONNECT

Aim for the stars

  • Elevated & consistent
    customer retention

  • Intuitive & frictionless
    product discovery

  • Reduced cart abandonment
    rates

  • Highly-personalized
    customer journeys

  • Increased cross-selling
    and upselling

  • Deeper customer
    engagement

Personalized
Recommendations

Increase customer satisfaction and drive sales by crafting shopping experiences personalized with highly-relevant product recommendations and deeply-engaging content.

  • Personalized Product Recommendations

    Use data analysis techniques to determine individual customer behaviors and interests, and to make tailored suggestions for relevant and related products.

  • Personalized Content Recommendations

    Analyze user purchase history, browsing behavior, search queries, and more, to provide highly-relevant content that keeps customers engaged.

Book a 30-minute call with a Magecom expert

Leave your contact info and we’ll get back to you as soon as possible.

book a call

How to Get Started

  • 01/

    Data Collection

    We’ll collect data on your customers’ user behavior and preferences, including purchase history, search queries, browsing behavior, demographics, and psychographics.

  • 02/

    Data Analysis

    We’ll analyze the data collected with the help of machine learning to identify patterns and trends that will be used to create personalized recommendations.

  • 03/

    Implementation

    We’ll implement personalized recommendations and strategically place them on key pages such as the home page, product pages, cart page, and checkout page.

book a call

What We Do

Our team is committed to an unwavering set of core principles — Integrity, transparency, and genuine passion for our craft.

Want to make every customer experience highly-relevant?

Receive suggestions from our experts about recommendation-driven conversions, with no obligation.

Testimonials

“Magecom Performed Tasks very Diligently and Efficiently”

Magecom established a smooth workflow through clear communication and timely deliveries. They were professional, knowledgeable, and easy to work with. Their productivity, efficiency, and cost-effectiveness were hallmarks of their work.

Tamara Bakhia

E- Commerce & Digital Marketing Manager

1/5

Check out our clients case-studies

See how we've helped our clients increase performance and conversions to level-up their business.

VIEW ALL CASE-STUDIES

Explore ecommerce trends and news

Discover our blog

Still have questions?

Why use personalized recommendations in e-commerce?

Personalized recommendations are an effective way to increase conversions in e-commerce. They provide a tailored shopping experience that meets the individual needs and preferences of each customer.

 

By analyzing customer data, such as browsing and purchase histories, e-commerce businesses can leverage algorithms and machine learning to recommend products most likely to appeal to each customer.

How do I set up e-commerce product recommendations?

E-commerce product recommendation setup involves several common steps:

 

✅ Gather and analyze customer data

 

✅ Choose a product recommendation engine or software

 

✅ Configure the recommendation engine

 

✅ Strategically place the product recommendations on the store

 

✅ Determine the timing and the number of products to display

How do product recommendations work?

Product recommendations are driven by algorithms that reference customer data to suggest products most likely to appeal to the individual customer. Recommendations are based on a variety of factors, including browsing and purchase histories, demographic data, and product trends.

 

The recommendation engine analyzes these data sources to identify patterns and preferences, using machine learning algorithms to predict which products the customer is most likely to purchase. Recommendations are delivered to the customer via the online storefront, email marketing campaigns, and other channels.

What are common types of personalized product recommendations?

There are several types of personalized product recommendations used in eCommerce. Here are some of the most common:

 

🟠 Recommendations based on browsing and purchase history

 

🟠 Upsell and cross-sell recommendations

 

🟠 New product recommendations

 

🟠 Social recommendations

 

🟠 Seasonal recommendations