AI/ML Personalized Product Recommendations circle icon

Our solution meets the preferences of your customers and increases sales in the store by 5-10%.

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settings-2 icon 3-minute integration with any eCommerce platform

git-4 icon Advanced AI/ML Technology

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How it works | RecostreamHow It Works

Maximize potential of your store with personalized recommendations

  1. 1
    Register for our 30-day free trial
    Sign Up
  2. 2
    Install a single Javascript line in your store (e.g. using Google Tag Manager).
    How to do it? right-2 icon
  3. 3
    We will set up your store in one business day. You'll get an email once everything is ready.
  4. 4
    And it’s ready!

    Start observing the increasing share of recommendations in our dashboard and Google Analytics Enhanced Ecommerce. right-2 icon
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Actual Results

Real results from our implementations

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10% of products added to basket come from recommendations

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7% of clicked recommendations lead to purchase

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5% of product page views ends with a recommendation click

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What Our Clients Say

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Guaranteed results

We know that our recommendation engine works. If our recommendations share in your sales won’t be greater than 10x the cost of our service after 12 months, we will refund you for that period.

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Integrations

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Flexible Display

Personalize every step of your shopping path

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Multi-sliders

Product Page, Category Page, Home Page, Basket, Blog Posts

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Pop-ups

Add to Basket Event, Unavailable Product Page

Personal Shopping Assistant

Shopping Assistant guiding through your store inventory with personalized suggestions.

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Key Features

Uniquely Personalized Recommendations

Advanced artificial intelligence and machine learning models enables us to create recommendations unique for a given visitor. Automatically self-adapting models: Similar Items, Popular Items, Recently Visited, Others Viewed, Best Converting, Manual Rule-Based Recommendations. Best-sellers, Cross-sellers, etc.

8 Types Of Recommendation Systems right-2 icon
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Real-time Optimization

Real-time analysis of traffic and behavior immediately impacts recommendation results for a given visitor.

The Role of Cookies for the Purchasing Customer right-2 icon
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Quick and 100% Free Installation

Just add a short Javascript code (like for Google Analytics or Google Tag Manager) and it's done. No coding or special integration needed. Works with any platform. Easily adjust look & feel.

How to Install the Recommendation Engine right-2 icon
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Personalize every step in the shopping path

Display format optimized for mobile & desktop devices ready to be placed on product page, category page, add to basket action, unavailable product page, home page, basket page or blog post.

Most Profitable Places to Put AI-based Product Recommendations in Your Online Store right-2 icon
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Complete Integration with Google Analytics Enhanced eCommerce & Google Optimize

Objectively analyze the effectiveness of our recommendation and their impact on your store metrics in Enhanced eCommerce. Easily run A/B testing with Google Optimize.

How to Track Recostream Conversions in Google Analytics? right-2 icon
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Detailed Conversion Analysis

Finally understand how different recommendation models work in different locations of your store.

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Powerful Instant Insights

Unavailable but frequently visited products? Products starting user sessions? Oldest price modifications? Get real-time insights in our dashboard.

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Export to Excel

All data collected by our platform about your store are yours. You can export everything with full history and slice & dice further in Excel or your favorite tool.

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Why Is Personalization So Important?

Research facts about recommendation systems

1. Increase Conversion and Interaction with Store

Salesforce research shows that clients who clicked recommended items generated 24% of orders and 26% of sales.

They spend over 12 minutes in store compared to less than 3 minutes spent by clients who did not interact with recommendations.

2. Reduce Shopping Cart Abandonment

Visitors that clicked recommendations were 4.5 times more likely to create a shopping cart. By implementing product recommendations you can improve cart abandonment by up to 4.35%.

Zalando research, shows that users placed a product into the shopping cart in one of the next two sessions in about 14% of the cases when they had clicked on it within a recommendation list.

3. Understand Your Clients Better

Understanding the decision process of your visitors enables you to make data-driven decisions about your store and provide products and options they want.

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Most Read Articles

Knowledge base about Artificial Intelligence, personalization, and eCommerce solutions

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Start Increasing Your Revenue with Personalized Recommendations!

Start your free trial now with no coding needed.
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