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Understanding customer behavior and motivations is crucial for deepening your insight into their needs, allowing you to propose products that resonate with their interests. The RetailSense offer engine enhances this process by enabling you to generate and automate customized offer recommendations across different stages of the user journey, which not only attracts new visitors but also fosters loyalty among returning customers. To improve the discovery experience, integrate a search service that includes features such as auto-correction, attribute-based queries, brand filters, and smart auto-suggestions. Furthermore, leverage search data to refine user personas, resulting in more precise targeting strategies. By concentrating on specific market segments, you can effectively deliver personalized push notifications, tailored offer emails, and relevant product suggestions aligned with their preferences, thereby creating a more immersive shopping experience for every individual. Ultimately, this degree of personalization is likely to enhance customer satisfaction and foster long-term loyalty, making it an essential strategy for retailers. Regularly analyzing and adapting your approach based on customer feedback can also lead to continuous improvement in your offerings.
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.
Integrations Supported
Integrations Supported
Appbrew
Canopy
Maropost Marketing Cloud
Shopify
Stamped
Yotpo
stockinstore
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
$149.00/month
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
RecoSense Infosolutions
Date Founded
2014
Company Location
India
Company Website
recosenselabs.com/retailsense
Company Facts
Organization Name
Maropost
Date Founded
2011
Company Location
Canada
Company Website
maropost.com/products/merchandising-cloud
Categories and Features
eCommerce Personalization
Not specified
eCommerce Search
Not specified
Product Recommendation Engines
Not specified
Categories and Features
eCommerce Personalization
Not specified
eCommerce Search
Not specified
Personalization
Behavioral Targeting
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization
Product Recommendation Engines
Not specified
Upsell & Cross-Sell
Not specified