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Average Ratings 0 Ratings

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ease
features
design
support

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Description

CoffeeSpace is a mobile-centric platform aimed at linking entrepreneurs who are in search of cofounders for their startup projects. With a design reminiscent of popular dating applications, it presents users with daily customized recommendations, allowing them to swipe through various profiles in pursuit of ideal matches. The platform places a strong emphasis on mutual compatibility, ensuring that the suggestions align with the preferences of both individuals, which significantly enhances the chances of forming successful alliances. To provide a more comprehensive understanding of potential partners, CoffeeSpace incorporates insightful prompts that highlight personality traits and working styles that go beyond the confines of standard resumes. Users can refine their searches effectively through detailed filters based on specific criteria such as expertise, industry, and levels of commitment. Additionally, CoffeeSpace fosters transparency by showcasing all connection requests without anonymity, which helps users to remain aware of all potential partnerships. Ultimately, the platform aims to create a collaborative environment where entrepreneurs can thrive through meaningful connections.

Description

Transform your traffic insights into strategic actions by categorizing users based on their browsing habits and behaviors. By grouping similar users, you can effectively identify those who deserve rewards, motivation, or a nudge to return, while also determining which brands, categories, and offers yield the highest conversion rates. Initiate the process by providing a browsing history feature, showcasing products that users have recently viewed or purchased. Additionally, remind them of items left in their cart that they haven't yet bought. Crucially, ensure that this approach encompasses all users, including those who are anonymous or unregistered. Utilizing advanced AI capabilities, you can enhance the shopping experience through personalized recommendations tailored to each shopper’s preferences and intentions. Furthermore, manage multiple recommendation campaigns by experimenting with various algorithms that align with the purchasing journey, tapping into numerous personalization strategies like affinity based on browsing and non-click behaviors. This comprehensive approach not only boosts engagement but also fosters a deeper connection with your customer base.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Amazon Web Services (AWS)
eBay

Integrations

AWS Marketplace
Amazon Web Services (AWS)
eBay

Pricing Details

Free
Free Trial
Free Version

Pricing Details

€49 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

CoffeeSpace

Founded

2023

Country

United States

Website

www.coffeespace.com

Vendor Details

Company Name

Predixit

Founded

2015

Country

Italy

Website

en.predix.it/come-funziona-il-processo

Product Features

Product Features

eCommerce Personalization

A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights

Alternatives