Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • AddSearch Reviews & Ratings
    4.6 out of 5 stars 145 Ratings
    Company Website for AddSearch
  • Qloo Reviews & Ratings
    5.0 out of 5 stars 23 Ratings
    Company Website for Qloo
  • Hightouch Reviews & Ratings
    4.6 out of 5 stars 520 Ratings
    Company Website for Hightouch
  • ActiveCampaign Reviews & Ratings
    4.4 out of 5 stars 17,400 Ratings
    Company Website for ActiveCampaign
  • PayKings Reviews & Ratings
    4.6 out of 5 stars 105 Ratings
    Company Website for PayKings
  • Ecwid Reviews & Ratings
    4.7 out of 5 stars 1,030 Ratings
    Company Website for Ecwid
  • Jesta Vision Suite Reviews & Ratings
    4.5 out of 5 stars 42 Ratings
    Company Website for Jesta Vision Suite
  • HubSpot AEO Reviews & Ratings
    4.4 out of 5 stars 151 Ratings
    Company Website for HubSpot AEO
  • Admiral Reviews & Ratings
    4.8 out of 5 stars 74 Ratings
    Company Website for Admiral
  • isoTracker Quality Management Reviews & Ratings
    4.6 out of 5 stars 19 Ratings
    Company Website for isoTracker Quality Management

What is Maropost Merchandising Cloud?

Maropost Merchandising Cloud is an AI-driven ecommerce search and merchandising solution built to improve how shoppers discover products and navigate online catalogs. The platform combines intelligent site search, automated category merchandising, personalized recommendations, and manual merchandising controls within one environment. Its search technology uses shopper behavior, natural language understanding, spelling tolerance, autocomplete, synonyms, and intent-aware ranking to surface relevant results beyond exact keyword matching. This allows shoppers to find products even when they use misspelled terms, vague descriptions, or everyday language that differs from catalog wording. Smart Collections automatically organize category pages using signals such as popularity, inventory, product margin, and historical performance. Merchandising teams can retain direct control by boosting, burying, excluding, or pinning products whenever business priorities need to override automated rankings. Campaign scheduling allows those rules to begin and end automatically for launches, promotions, clearance events, and other merchandising periods. Product recommendation tools use real shopper behavior to generate options such as recently viewed products, bought-together items, trending products, popular items, and personalized suggestions. Recommendations can be placed across home pages, product pages, carts, and category pages, with preview functionality available before publishing changes. Additional controls let merchants manage out-of-stock visibility, remove products from search or autocomplete, and redirect non-product queries without requiring custom development. Maropost Merchandising Cloud integrates with Shopify, BigCommerce, Neto, and Norce to keep merchandising, search, and collection data synchronized with the retailer’s existing storefront.

What is Granify?

Granify improves the shopping experience for large retailers by delivering the most pertinent messages to customers exactly when they are needed. Through the use of cutting-edge big data analytics and machine learning, Granify significantly increases revenue by identifying potential buyers inclined to abandon their carts and encouraging them to finalize their purchases. Central to Granify's technology is the Granify Brain, a highly advanced decision-making system that continuously analyzes over 20 billion previously optimized sessions. This engine detects particular moments in which the chances of conversion can be enhanced for every individual session. Granify utilizes carefully selected product highlights and personalized strategies to engage customers right at the crucial moment. A message is sent only when it statistically boosts the probability of a sale, ensuring maximum effectiveness. Additionally, the Brain closely evaluates the results of every shopping session, allowing for ongoing optimization. With each interaction, Granify's intelligence becomes more refined, ultimately resulting in a more lucrative platform for retailers. Consequently, retailers not only witness a rise in sales but also gain invaluable insights into their customers' behaviors and preferences, paving the way for more effective marketing strategies in the future.

Media

Media

Integrations Supported

Appbrew
Canopy
Maropost Marketing Cloud
Shopify
Stamped
Yotpo
stockinstore

Integrations Supported

API Availability

API Availability

Pricing Information

$149.00/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Maropost

Date Founded

2011

Company Location

Canada

Company Website

maropost.com/products/merchandising-cloud

Company Facts

Organization Name

Granify

Date Founded

2011

Company Location

Canada

Company Website

www.granify.com

Categories and Features

eCommerce Search

Not specified

Personalization

Behavioral Targeting
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

Upsell & Cross-Sell

Not specified

Categories and Features

Popular Alternatives

Celebros Reviews & Ratings

Celebros

5.0 out of 5 stars

Popular Alternatives

Shopify Reviews & Ratings

Shopify

4.8 out of 5 stars
Fredhopper Reviews & Ratings

Fredhopper

Rezolve Ai
4.0 out of 5 stars