Raptor Services Features
Visitor Behavior (3)
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Monitoring
Monitor the behavior of website and online store visitors
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Targeting
Ability to target website visitors based on behavioral patterns
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Guided Selling
Adapt the selling process to each visitor, including content and pricing
Templates (3)
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Library
Provide a library of templates for various purposes such as website engagement or e-commerce
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Customization
Allows users to customize templates and use them on multiple channels easily
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Optimization
Track the performance of different versions of templates and suggest optimizations
Personalization (8)
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Recommendation
Recommend products based on order history and online behavior
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Content
Provide custom content to website visitors based on their online behavior
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Cart Abandonment
Deliver messages targeted at buyers who are about to leave an online store
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Search
Optimize search based on the role of the user or inventory availability
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Personalization Engine
Machine learning or artificial intelligence that powers the personalization features of the platform.
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Product Recommendations
Tools to automatically recommend products to a customer based on their viewing or purchasing history.
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A/B Testing
The ability to test various configurations and recommendations to determine which are most successful with customers.
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Personalized Messaging
Tools to create personalized messaging based on customer data collected from purchases or viewing history.
Multichannel (3)
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Web
Integrate personalized content and recommendations on websites
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Email
Define customized email templates which are sent automatically
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Mobile
Include personalization features that are mobile-friendly and responsive
Segmentation (2)
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A/B Testing
Provides native A/B testing for content and campaigns.
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Customer Profiles
Allows users to build and analyze customer profiles.
Targeting (2)
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Behavioral Targeting
Presents messaging depending on customer behavior.
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Contextual Targeting
Presents messaging depending on customer context.
Triggered Content (3)
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Geofencing
Content triggered by customer's given geolocation.
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Triggered Emails
Emails triggered by customer activity or behavior.
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Triggered Messages
Messages triggered by customer activity or behavior.
Personalized Content (3)
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Recommendation Engine
Provides recommendations based on customer metrics.
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Personalized Discounts
Calculates and presents customized discounts.
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Website Personalization
Personalizes web experiences and presented content based on customer metrics.
Data Sourcing (4)
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Data Enrichment
Uses external data sources to improve customer profiles.
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Expandability
Can be updated to accept new sources and types of data.
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Content Marketing
Can act as a content marketing platform.
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Multiple Devices
Can engage with customers across any device with a consistent message.
Intelligence (3)
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Marketing Metrics
Provides analysis of marketing program ROI and efficiency.
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Predictive Modeling
Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.
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Recommendation Engine
Uses artificial intelligence to provide suggestions based on desired outcomes.
Administration (4)
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Marketing Campaigns
The ability to create and customize marketing campaigns based on user data.
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Reports & Analytics
Easily digestible visual representations of data collected by the platform.
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User Data
Data collected from customers to be analyzed by analytics tools or other e-commerce software.
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Integrations
The ability to integrate with a variety of e-commerce software platforms in order to share data and other functionality.
Analytics (2)
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Reports & Analytics
The ability to analyze and visually represent relevant data collected from an e-commerce store and e-merchandising tool.
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Customer Data
Data collected from customers that can be used to better refine merchandising efforts to entice similar customers.
Merchandising (5)
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Product Recommendations
Products recommended to customers based on their purchasing or viewing history.
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Product Search
A search function to help customers easily find products in an online store.
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Product Display
Tools to optimize how product images are represented on the site.
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Media File Storage
Tools to store and organize product images, videos, and 3D renderings.
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Web Content Management
Tools to optimize and organize product descriptions and other content published to an online store.
Administration (2)
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Integrations
The ability to integrate with a variety of e-commerce software in order to share data and functionality.
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Dashboard
A means to display relevant reports and other data in one, easily accessible place.
Search Setup (4)
Indexing
Analyze and index e-commerce data and define searchable fields
Auto Complete
Provide algorithms to provide users with suggested results as they type
Product Information
Define how product information (attributes, brand, type) can be searched and in what combination
Stemming
Search for alternative variations of a word to deliver more accurate results
Product Discovery (5)
Recommendations
Provide recommendations based on what users are searching for
Conversion
Monitor conversions of shoppers into buyers due to search features
Personalization
Allow companies to personalize the search experience for their shoppers
Faceted Search
Buyers can refine product searches using filters and product attributes.
Ranking and Relevancy
Rank search results based on relevance, availability, or popularity
Integration (3)
E-Commerce
Provide integration with e-commerce platforms and shoppping cart software
PIM
Integrate with Product Information Management (PIM) software
Merchadising
Support integration with e-merchadising and similar retail software
Agentic AI - Personalization Engines (6)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Personalization (6)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - E-Commerce Personalization (2)
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting




