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What is Reccodo?

Elevate your sales by designing personalized experiences that turn users into loyal customers through individualized product recommendations and search results. Highlight the most relevant items by analyzing both recent and past customer behavior to ensure a tailored shopping journey. Predict product combinations and present them as bundles to enrich the overall shopping experience, effectively increasing the average order value by suggesting complementary items seamlessly. Maintain customer engagement by ensuring that the most pertinent products are featured prominently in your search bar, capturing their interest in your brand. Our recommendation engine can also provide real-time suggestions as users enter queries, enhancing their browsing experience. Utilize your traffic insights and web analytics to customize interactions, effectively engaging with visitors and converting them into buyers. By analyzing online patterns, we can uncover the specific desires of each shopper, resulting in more favorable outcomes. This method not only strengthens businesses' understanding of their customers but also fine-tunes marketing strategies to be more effective. Ultimately, a focus on personalization fosters deeper connections with customers, leading to increased satisfaction and loyalty.

What is BytePlus Recommend?

A fully managed solution that offers personalized product suggestions specifically designed to meet your customers' unique needs. BytePlus Recommend utilizes our advanced machine learning capabilities to generate real-time and targeted recommendations. Our top-tier team has an impressive history of providing insights on some of the most renowned platforms globally. By analyzing user data, you can enhance engagement and create tailored suggestions that align with customer behaviors. BytePlus Recommend is user-friendly, seamlessly integrating with your current infrastructure while automating the machine learning processes. Drawing upon our extensive research in machine learning, BytePlus Recommend crafts personalized recommendations that resonate with your audience's tastes. Our expert algorithm team is proficient in formulating bespoke strategies that adapt to evolving business objectives and requirements. The pricing structure is based on the outcomes of A/B testing, ensuring that your investment aligns with your business needs and optimization goals are effectively established. This commitment to adaptability and precision makes BytePlus Recommend an invaluable asset in your marketing toolkit.

Media

Media

Integrations Supported

Drupal
Magento
OpenCart
Shopify
WooCommerce

Integrations Supported

Drupal
Magento
OpenCart
Shopify
WooCommerce

API Availability

Has API

API Availability

Has API

Pricing Information

€39 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Reccodo

Company Location

Greece

Company Website

reccodo.com

Company Facts

Organization Name

BytePlus

Date Founded

2021

Company Location

Singapore

Company Website

www.byteplus.com/en/product/recommend

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Categories and Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Personalization

A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

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