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What is Guesswork?
We help online retailers provide customized product recommendations to first-time users who do not have any shopping history. By leveraging advanced deep learning methods, we create personalized suggestions for these unidentified visitors, enhancing their interaction with the website. When users express interest in products, we encourage them to enter their email addresses. If they leave without making a purchase, we follow up through email to inspire them to complete their transaction. Often, mobile users browse without logging in, making it difficult for standard personalization tools to engage them due to the absence of prior purchase or browsing data. Our specialization is in crafting recommendations for users who lack historical data. Our sophisticated deep learning algorithm analyzes their demographic details and online behavior to offer relevant products directly on their landing pages, capturing their attention before they exit. It's vital for you to encourage registration from new users on your platform; however, employing popups with discounts can be annoying and ineffective, often harming your SEO performance. Our intelligent sign-up tool captivates these visitors by presenting pertinent product suggestions, ultimately enhancing user interaction and increasing sign-up rates. Consequently, we turn initial visits into opportunities for lasting customer relationships, establishing a foundation for future engagement. This approach not only improves user experience but also cultivates a more loyal customer base over time.
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.
Integrations Supported
Shopify
API Availability
Has API
API Availability
Has API
Pricing Information
$80 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
Guesswork
Company Location
United States
Company Website
www.guesswork.co
Company Facts
Organization Name
BytePlus
Date Founded
2021
Company Location
Singapore
Company Website
www.byteplus.com/en/product/recommend
Categories and Features
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