Coveo Qubit

Coveo Qubit

Score 7.3 out of 10
Coveo Qubit

Overview

What is Coveo Qubit?

Qubit, now from Coveo (acquired October 2021) uses visitor history data to understand different user segments and serve personalized messages to segments using JavaScript. It is available as either a managed or self-service model. Data is collected using Qubit's own...
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Recent Reviews

Qubit enhances us!

10 out of 10
December 06, 2017
It is used by the e-commerce department to improve site UX, A/B split tests and implement new features such as social proofing. It enables …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Pricing

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What is Coveo Qubit?

Qubit, now from Coveo (acquired October 2021) uses visitor history data to understand different user segments and serve personalized messages to segments using JavaScript. It is available as either a managed or self-service model. Data is collected using Qubit's own Universal Variable data model, or…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Product Details

What is Coveo Qubit?

Coveo Qubit (acquired October 2021) uses rich visitor data to understand different user segments and serve personalized messages to audience segments using JavaScript. It is available on either a managed or self-service model.

Data is collected using Qubit’s own QProtocol data layer, or by integrating the user’s existing model via our API. Quantitative visitor behavioral data is combined with qualitative visitor feedback and ingested data from Qubit users' other systems of record enabling them to identify areas of the site and customer groups to optimize and target with personalization experiences.

Using JavaScript means that changes do not have to be hard-coded into the site, giving marketers and ecommerce teams greater power to implement changes outside of the development cycle.

Users can A/B test any changes to their site using Qubit, and the user interface lets them know what the test results are.

Coveo Qubit Features

  • Supported: Website Personalization Technology
  • Supported: Visitor Analytics and Insights
  • Supported: Business Intelligence
  • Supported: A/B Testing Platform
  • Supported: Tag Management

Coveo Qubit Screenshots

Screenshot of Screenshot of Screenshot of Qubit Pro segments metrics page, showing the key metrics and activity for an audience segment.Screenshot of Segments overview page in Qubit Pro, showing a list of user-created audience segments.Screenshot of Selecting between the different types of experience in Qubit Pro to create a new personalization.Screenshot of Using a Qubit Pro template to create a Visitor Pulse Survey to gather user information.Screenshot of Using Qubit Pro custom mode to create a homepage banner.Screenshot of The overview metrics page in Qubit Pro.Screenshot of Setting the goals and segments for an experience to be tested in Qubit Pro.

Coveo Qubit Videos

Qubit Spring 2016 Product Launch
Qubit Pro Jan 2018 Introduction Video We believe in the power of data to get you closer to your customers. Our technology will help every visitor to discover and spend more with the brands they love. This is where uplift lives.

Coveo Qubit Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesUK, USA, France, Germany, Netherlands, Spain, Italy
Supported LanguagesOur service can process all major languages

Frequently Asked Questions

Qubit, now from Coveo (acquired October 2021) uses visitor history data to understand different user segments and serve personalized messages to segments using JavaScript. It is available as either a managed or self-service model. Data is collected using Qubit's own Universal Variable data model, or by integrating the user's existing model via our API. It combines quantitative data with qualitative visitor feedback to give Qubit users the ability to detect areas for optimization. Using JavaScript means that changes do not have to be hard-coded into the site, giving marketers and ecommerce teams greater power to implement changes outside of the development cycle. Users can A/B test any changes to their site using Qubit, and our user interface lets them know when the necessary sample size, and what the test results are. Qubit also allows users to bring different silos of information together to provide a holistic view of their marketing channels, and understand what action will have the greatest impact on their overall business.

Monetate, Optimizely Web Experimentation, and Sitecore Experience Manager are common alternatives for Coveo Qubit.

Reviewers rate Availability highest, with a score of 9.

The most common users of Coveo Qubit are from Enterprises (1,001+ employees).

Coveo Qubit Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)5%
Mid-Size Companies (51-500 employees)45%
Enterprises (more than 500 employees)50%
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Comparisons

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Reviews

(1-12 of 12)
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Gideon Caspi | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Excellent level of service, any enquiries were quickly addressed and explained in detail. Quit then offered a personal Q&A session in which we were able to learn features of the platform and discover the aspects that particularly apply to our company. Qubit’s level of service has generally been excellent in my experience, and adds value to the product itself as it means we can get more out of the platform.
Score 7 out of 10
Vetted Review
Verified User
Working with Qubit after the sale proved relatively easy - the team is approchable and available to answer questions or take feedback.
However, due to lack of visibility on Qubit's roadmap, it is impossible to say whether feedback is actually taken into account or not.
Also, the Qubit team may take a while to answer simple questions, as the primary contacts usually do not have the skills to answer them directly and have to escalate them to the engineering team.
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