Fresh Relevance Features

Based on 24 Fresh Relevance reviews. Monitor the behavior of website and online store visitors

Based on 29 Fresh Relevance reviews. Ability to target website visitors based on behavioral patterns

As reported in 18 Fresh Relevance reviews. Adapt the selling process to each visitor, including content and pricing

Provide a library of templates for various purposes such as website engagement or e-commerce This feature was mentioned in 21 Fresh Relevance reviews.

Allows users to customize templates and use them on multiple channels easily 28 reviewers of Fresh Relevance have provided feedback on this feature.

Based on 14 Fresh Relevance reviews. Track the performance of different versions of templates and suggest optimizations

Recommend products based on order history and online behavior 31 reviewers of Fresh Relevance have provided feedback on this feature.

As reported in 28 Fresh Relevance reviews. Provide custom content to website visitors based on their online behavior

Deliver messages targeted at buyers who are about to leave an online store This feature was mentioned in 27 Fresh Relevance reviews.

Optimize search based on the role of the user or inventory availability This feature was mentioned in 10 Fresh Relevance reviews.

As reported in 24 Fresh Relevance reviews. Machine learning or artificial intelligence that powers the personalization features of the platform.

Based on 31 Fresh Relevance reviews. Tools to automatically recommend products to a customer based on their viewing or purchasing history.

The ability to test various configurations and recommendations to determine which are most successful with customers. This feature was mentioned in 18 Fresh Relevance reviews.

Tools to create personalized messaging based on customer data collected from purchases or viewing history. This feature was mentioned in 20 Fresh Relevance reviews.

Integrate personalized content and recommendations on websites This feature was mentioned in 26 Fresh Relevance reviews.

As reported in 25 Fresh Relevance reviews. Define customized email templates which are sent automatically

Include personalization features that are mobile-friendly and responsive This feature was mentioned in 23 Fresh Relevance reviews.

Provides native A/B testing for content and campaigns.

Allows users to build and analyze customer profiles.

Presents messaging depending on customer behavior.

Presents messaging depending on customer context.

Content triggered by customer's given geolocation.

Emails triggered by customer activity or behavior.

Messages triggered by customer activity or behavior.

Provides recommendations based on customer metrics.

Calculates and presents customized discounts.

Personalizes web experiences and presented content based on customer metrics.

Based on 16 Fresh Relevance reviews. The ability to create and customize marketing campaigns based on user data.

Easily digestible visual representations of data collected by the platform. This feature was mentioned in 30 Fresh Relevance reviews.

Data collected from customers to be analyzed by analytics tools or other e-commerce software. 23 reviewers of Fresh Relevance have provided feedback on this feature.

The ability to integrate with a variety of e-commerce software platforms in order to share data and other functionality. 26 reviewers of Fresh Relevance have provided feedback on this feature.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting