Qubit Strengths, Domain Expertise, and Key Differentiators
Leading eCommerce companies work with Qubit to transform the way they understand and influence their customers in order to increase revenue, build loyalty and improve marketing efficiency. By combining rich customer data, deep learning technology, and advanced segmentation capabilities, the Qubit Customer Influence Engine can precisely match customers with the widest range of personal, online experiences to influence behavior at scale.
Qubit Recent Developments
In July 2021 Qubit, launched its new CommerceAI model, helping retailers in delivering advanced one-to-one personalization to unlock more value from its entire product catalogs. Combining customer data — including intent — and design tools, the company says Qubit CommerceAI will drive up conversion rates and customer lifetime value while reducing abandonment. And further, through its use of deep learning, the solution aims to help brands learn more about their own customers to determine the products that will drive sales.
Moreover, according to the company, deep learning “leverages more sophisticated algorithms than machine learning, enabling the processing and understanding of massive amounts of data in real-time to power the entire end-user experience and resulting in superior e-commerce outcomes.” And the data can be leveraged for insights that e-commerce teams are able to utilize when making important business decisions about merchandising, inventory, campaigns, and more.
Qubit Customers in ARTW Customer Database
Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying Qubit applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of Qubit and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified Qubit CommerceAI customers.
Ownership: - x
Number of Employees: 30
Qubit Key Enterprise and Cloud Applications
Qubit Revenues, $M:
|Type/Year||2020||2021||YoY Growth, %|
|Total Revenues, $M||Subscribe||Subscribe||Subscribe|
|Enterprise Applications Revenues, $M||Subscribe||Subscribe||Subscribe|
|Cloud Applications Revenues, $M||Subscribe||Subscribe||Subscribe|
* Enterprise Applications Revenues = License + Support & Maintenance + SaaS
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.
Qubit Revenue Breakdown By Type, $M:
|Type||License||Prof. Services||Hardware||Support & Maintenance||SaaS||PaaS||IaaS||Other (Non Enterprise Application Revenues)||Total|
|% of Total Revenues||Subscribe||Subscribe||Subscribe||Subscribe||Subscribe||Subscribe||Subscribe||Subscribe||100%|
Qubit Enterprise Applications Revenues By Functional Markets, $M:
Qubit Enterprise Applications Revenues By Verticals, $M:
Qubit Revenues By Region, $M
|Region||% of Total Revenues||2021 Total Revenues, $M||2021 Enterprise Applications Revenues, $M||2021 Cloud Applications Revenues, $M|
Qubit Direct vs Indirect sales
|Region||Direct Sales||Indirect Sales||Total|
Qubit Customers - Breakdown by Geo, Size, Vertical and Product
No. of Qubit Customers: 364
No. of Qubit Enterprise Applications Customers: x
No. of Qubit Cloud Customers: x
No. of Qubit Cloud Subscribers: x
Qubit is trusted to deliver real impact to the bottom line for the biggest brands in eCommerce including Ubisoft, CafePress, Topshop, Shiseido, and Emirates. Across the global Qubit customer base, $600 million worth of online sales is influenced over a typical week.
Qubit Market Opportunities, M&A and Geo Expansions
Amidst greater economic uncertainty as a result of the global COVID-19 pandemic, more consumers are shopping online and consumer behavior has changed dramatically. “Consumers are engaging with brands online more than ever,” said Cooke. “In those interactions, customer intent can change in a heartbeat and the ability of Recommendations AI to predict the next in the sequence is a game-changer for what is a core, but currently outdated, eCommerce capability.”
“AI-led merchandising is a must-have for any eCommerce brand to increase revenue, and to meet the customer’s needs. The combination of Qubit and Recommendations AI enables retailers to use real-time data and deep learning neural networks alongside easy-to-use tools,” Cooke explained. “Our mission is to power relevance, and that is even more essential right now as more shoppers move online to buy the products they’d normally buy in-store. While the pandemic has been challenging for brands, those who have navigated it well are those which have been best placed to create authentic and relevant relationships with customers at every touchpoint and on every channel.”
Inspired by the same technology that powers relevance on YouTube, Recommendations AI uses the power of deep learning to introduce customers to new and relevant products. Using similar or shared patterns across customer attributes and behavioral data, the recommendations engine creates models to determine what the user would likely click next or purchase next and recommends these new or existing items from the catalog.
Qubit Risks and Challenges
Lack of international sales.
Qubit Ecosystem, Partners, Resellers and SI
In July 2020 Qubit it has furthered its partnership with Google Cloud, making Recommendations AI available for eCommerce teams. The product recommendations solution is deeply integrated within Qubit’s new product interface for merchandising, enabling eCommerce teams to leverage Google Cloud’s latest AI technology. Included in the offering is access to Recommendations AI which predicts the best product to show a consumer, adapts to changing customer behavior in real-time and utilizes a wide array of data points like assortment, pricing, and user history. This capability is designed to be used by merchandising and marketing teams, giving them the ability to implement Recommendations AI and activate bespoke business rules that enable them to boost, bury and run campaigns without having to write a line of code.
Qubit Cloud Infrastructure Insights
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- Qubit Public Cloud and Infrastructure (IaaS)
- Qubit Platform (PaaS)
- Qubit Application Delivery
- Qubit Private Cloud and Data Centers
Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.
Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).
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