RECOMMEND PRO
Recommend Pro allows your business to grow in the right direction while curating a personalised shopping experience for your visitors. Thanks to the power of data. Powered by AI, Recommend allows you to understand who’s on your website. Personalise their journey and shopping experience thanks to our dynamic platform. Recommend Pro personalisation platform helps to deliver a seamless shopping experience. Captivate new visitors and recognises returning and loyal customers. Personalised custome... r experiences are not only possible but necessary for the success of any business. All ustomers want a one-to-one relationship. They want to be recognised and expect to receive relevant information that speaks to their interests and needs. Recommend Pro allows any eCommerce platform to do this and much more. An easy-to-use dashboard that makes understanding purchasing patterns and online pathways an easy task. Above all, Recommend Pro is also a self-learning dynamic system. Likewise, it has almost zero human input and administrative time.
RECOMMEND PRO
Industry:
Analytics Artificial Intelligence Big Data E-Commerce Email Marketing Internet Machine Learning Marketing Marketing Automation Software
Website Url:
http://www.recommend.pro
Status:
Active
Email Addresses:
[email protected]
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Google Analytics Apple Mobile Web Clips Icon Google Tag Manager WordPress Content Delivery Network Google Universal Analytics
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Official Site Inspections
http://www.recommend.pro Semrush global rank: 6.61 M Semrush visits lastest month: 931
- Host name: ec2-52-215-22-11.eu-west-1.compute.amazonaws.com
- IP address: 52.215.22.11
- Location: Dublin Ireland
- Latitude: 53.3338
- Longitude: -6.2488
- Timezone: Europe/Dublin
- Postal: D02
More informations about "Recommend Pro"
Recommend - the best personalisation platform for E …
Recommend empowers your business to grow by creating a personalised shopping experience for each of your customers. Powered by AI, Recommend collects data and analyses the actions taken by your customers to curate a …See details»
Recommend Pro - Crunchbase Company Profile & Funding
Recommend Pro allows your business to grow in the right direction while curating a personalised shopping experience for your visitors. Thanks to the power of data. Powered by AI, …See details»
Our Team - Recommend
Recommend was founded in 2014 by a team of expert developers and software engineers with thorough experience in the e-commerce industry. We have an extensive background in building some of the most significant e-commerce …See details»
Personalisation platform for E-commerce
Our personalisation platform helps you deliver personalised shopping experiences. Boost revenue and improve performance with product recommendations.See details»
Recommend.pro - LinkedIn
RECOMMEND is personalisation and 360º marketing platform for eCommerce businesses. Powered by artificial intelligence (AI), Recommend optimises your website, analyses your customers’ journey and...See details»
Recommend - Crunchbase Company Profile & Funding
Recommend offers a curated discovery experience through shoppable content, designed to inspire future actions like making a purchase. The platform has become increasingly attractive …See details»
Recommend Pro - Tech Stack, Apps, Patents & Trademarks
Nov 10, 2024 · Recommend Pro uses 9 technology products and services including HTML5, F5 NGINX, and Amazon Route 53, according to G2 Stack. Recommend Pro is actively using 24 …See details»
Recommend · GitHub
Recommend is a personalized shopping, product recommendations, merchandising and marketing automation platform. - Recommend.See details»
Recommend Pro - Crunchbase
Companies like Recommend Pro include Kimola , ReachOut.AI , and Advido. Choice Genie is a next generation Artificially Intelligent Marketplace. Personide personalization platform …See details»
Recommend: All-in-one discovery platform for online shopping.
Recommend is a content commerce platform where you can discover latest trends and shop your favorite products.See details»
Introducing Recommend Customer Portal - Recommend
Oct 27, 2022 · Recommend’s story started more than a decade ago with an AI-based product recommendation service. From the very beginning, we follow a client-oriented approach in our product management. We are keen to hear …See details»
Recommend Pro - Facebook
Increase your revenue, drive conversions and transform your eCommerce website thanks to Recommend, p.See details»
Recommend Pro - Contacts, Employees, Board Members
The best personalisation platform for eCommerce. 360 marketing tool.See details»
Which Professional Organizations Should You Join? - Forbes
Oct 21, 2023 · How to choose the right professional organization can be an important part of career building. Use these tips to find the right professional organizations to join.See details»
Recommend Resources - Recommend
Feb 10, 2022 · Increase your revenue, drive conversions and transform your eCommerce website thanks to Recommend. Our easy-to-use platform, powered by AI, delivers highly personalised …See details»
Curating The World's Best Professional Organizations - BestOrgs
Jan 16, 2024 · We curate, rank and accredit the world’s best professional organizations, membership communities, mastermind groups, and associations. Sign up today to receive …See details»
Recommend - Funding, Financials, Valuation & Investors
Recommend is an AI-powered content engine designed to help advertisers acquire new customers.See details»
Pricing - Recommend
Increase your revenue, drive conversions and transform your eCommerce website thanks to Recommend. Our easy-to-use platform, powered by AI, delivers highly personalised and …See details»
How to Write a Letter of Recommendation: Format and Examples
Nov 14, 2024 · State that you “ highly recommend” the person or you “ recommend without reservation” or something similar. Conclusion: The concluding paragraph of the letter contains …See details»
Recommend - Crunchbase Company Profile & Funding
Recommendations from experts and people you trust have mostly remained offline and are spread all over the web. Recommend is the first mobile + web solution to gather and deliver …See details»