Qubit Among Cloud Top 500

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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.

Qubit Overview

Ownership: - x

Number of Employees: 30

Functional Markets: CRM, eCommerce,

Key Verticals: Leisure and Recreation, Retail,

Qubit Key Enterprise and Cloud Applications

Qubit CommerceAI

Qubit Revenues, $M:

Type/Year20202021YoY 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:

TypeLicenseProf. ServicesHardwareSupport & MaintenanceSaaSPaaSIaaSOther (Non Enterprise Application Revenues)Total
% of Total Revenues Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe 100%
Revenues, $M Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe

Qubit Revenues By Region, $M

Region% of Total Revenues2021 Total Revenues, $M2021 Enterprise Applications Revenues, $M2021 Cloud Applications Revenues, $M
Americas Subscribe Subscribe Subscribe Subscribe
EMEA Subscribe Subscribe Subscribe Subscribe
APAC Subscribe Subscribe Subscribe Subscribe
Total Subscribe Subscribe Subscribe Subscribe

Qubit Direct vs Indirect sales

RegionDirect SalesIndirect SalesTotal
Type % Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe

Qubit Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified Qubit Customers

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)
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  • Qubit Private Cloud and Data Centers

Research Methodology

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).

For additional information on our methodologies, here's the link:

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