See you in Seattle?

We will be at - booth 2423 - from Sept. 29 to Oct. 1
Contact us to schedule a deep-dive on how CQuotient can impact your business

Staples and Brookstone
believe in Personalized Retailing

Read our case studies to learn about the value they see with CQuotient

Grow Revenue
through Personalized Retailing

Deliver uniquely tailored messages to every customer at any interaction.
Click to watch The Children's Place and Men's Wearhouse explain how!



  • E-mail

    • Personalize to your full email list
    • Tailor products, offers and creative
    • Works with your existing ESP
  • Web

    • Shape the shopping experience to every visitor’s needs
    • Real-time reaction to browse behavior, blended with full customer history
  • Store

    • Leverage a complete view of every customer to make the in-store experience better
    • Clientelling, suggested selling, customized bounce-back, etc.
  • Mobile

    • Personalized mobile app, web and email experiences
    • Individually chosen content for maximum relevance in smaller screens
  • Direct Mail

    • Maximize return on direct mail investments
    • Optimize incremental revenue, response or both
    • Select right audience and/or content

How We Do It

The CQuotient Personalized Marketing Engine™ (PME) combines rigorous predictive science with omnichannel data. Our approach drives incremental revenue by constantly mining all of the interaction data you have with your customers to create relevant, personalized messages for them, right now. The results are immediate and powerful! Watch our video for more details.


Why CQuotient

CQuotient is a complete customer personalization solution. We take full advantage of the recent revolutionary advances in predictive science and marry that with deep knowledge of retail business problems and cloud-based technology infrastructure. The result is highly impactful, individualized messages that are easy to execute and fit smoothly with your existing business processes. Our unique advantages are:


  • Full, Omnichannel data
  • Web, email, store, mobile
  • A complete picture of interactions with every customer


  • Advanced predictive modeling of customer behavior
  • Real-time inference of behavior drivers – product, price, timing
  • Machine learning applied to traditional and unstructured text and image data

Use Cases

  • Products, Brands, Offers and Creative
  • Online and Offline touch-points
  • Coordinated personalization across all touch-points


  • Real-time personalization infrastructure
  • Scalable to the largest data stores
  • Clean, simple integration with your existing systems



Being more relevant with your customers is critical to success. Retailers who work with CQuotient have seen dramatic results, both in terms of increased engagement and significantly increased revenue. Example results include:





10x ROI


Apparel Retailer

A vertically integrated apparel retailer saw a 15% improvement in quarterly ominchannel spend per customer through a weekly, individualized email program to their most loyal customers

Department Store

A leading department store tested CQuotient against their existing practices, in-house team and against two other leading vendors. In all cases, CQuotient generated 15-75% more revenue per customer and up to 50% greater engagement



CQuotient aims to transform the way retailers interact with their customers. We value innovation, critical thinking and a bias for action.

Want to join us? We are looking for:

Why Personalization is Key to the ‘New Consumer’

Why Personalization is Key to the ‘New Consumer’

September 17, 2014

Published on Chain Store Age | By Graeme Grant, president & COO, CQuotient Technology and the proliferation of communications channels have significantly altered the way brands and retailers approach customer engagement. What was a “nice-to-have”...

Profiles in Innovation – Sephora

Profiles in Innovation – Sephora

September 29, 2014

A couple of weeks ago, Forbes contributor John Ellett interviewed Sephora’s VP of Interactive Media, Bridget Dolan. The article focused on the company’s use of highly relevant and personalized data to improve customer satisfaction and as such, stay...


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