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What is RetailSense?
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 Pique?
We enhance your digital engagement and increase revenue by customizing each user's experience according to their specific preferences. By providing personalized suggestions tailored to individual needs, we navigate users through their complete digital journey, encouraging conversions at every opportunity. This approach ensures that every visitor feels acknowledged and appreciated. We also address the cold-start challenge by offering timely recommendations to new users and those concerned about their privacy. Pique Personalized Recommendations delivers an all-encompassing digital experience that can easily integrate with your websites, applications, emails, and bots through a versatile API. Whether it’s assisting someone in finding the ideal ring, curating captivating playlists, or connecting job seekers with suitable roles, we are dedicated to supporting you and your diverse user base. Our solution empowers you to highlight the products that your customers are most likely to buy or repurchase, even when engaging with anonymous or privacy-focused users. Additionally, our platform allows for the effortless display of recommendations, utilizing simple integration scripts across multiple channels. You can craft a customized experience that resonates with every type of user, ensuring that no one is excluded from the engagement journey while fostering meaningful connections throughout.
Integrations Supported
Magento
MoEngage
Repro
Shopify
WooCommerce
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
RecoSense Infosolutions
Date Founded
2014
Company Location
India
Company Website
recosenselabs.com/retailsense
Company Facts
Organization Name
Pique
Date Founded
2016
Company Location
Vietnam
Company Website
pique.ai/
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
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