Better Customer Engagement with Artificial Intelligence

Relativity6 enables partners to better understand their customer's behavior with support from world-class PhD data scientists and machine learning experts from MIT.

  • Prioritize customers and enterprise accounts by likelihood to purchase.
  • Life or company events predictions and their dependencies to specific purchasing decisions.
  • Deploy highly accurate win-back, pre-churn and cross-sell models.
  • Increase Top Line Revenue by up to 5-15% and improve combined ratio savings by 3-5 points.

Relativity6 proprietary algorithms predict when and what your most profitable customers will purchase, with above 80% accuracy.

Fuse internal and external data to more accurately predict customer behavior.

External data

Company websites, Social Media, News Media, Government Datasets, Weather Datasets, Open Source Intelligence.

Internal data

Tuned against internal data to deliver customer insights and behavioral predictions.

Proprietary APIs

Data is continuously ingested, cleaned, structured, normalized and streamed through Relativity6 proprietary machine learning APIs.

Relativity6 artificial intelligence converts customer transactions into customer-centric relationships.


Identify customers' propensity to purchase.


Recognize accurate cross-sell and upsell opportunities.


Know when each customer is most likely to purchase.


Recommend most efficient sales channel per customer.

Powered by Behavioral Listening Technology developed at MIT

Relativity6 Artifial Intelligence and Machine Learning Dashboard

Through research at MIT, Relativity6 concluded that in order to generate the most accurate predictions possible, we needed to tune our algorithms strictly into objective, unbiased data.

This is why we focus our data inputs on internal customer data, specifically the actions and behaviors taken by your customers in the past. Our technology is able to seamlessly ingest both structured and unstructured data sources and filter out only the features that are directly related to purchasing activity.

We call our proprietary system of algorithms 'behavioral listening algorithms' because we've trained our models to tune into strictly action based variables, leaving subjectivity to the side.

Case Studies

Coachup Case Study Logo

Coachup achieves 85% increase in Sessions Booked

Relativity6 worked with Coachup to identify and reactivate customers who hadn't purchased in at least 6 months.

Utilizing Coachup's existing data we ran our automated machine learning algorithmss and pinpointed lapsed customers with at least a 60% probability of repurchasing in September.

Nutraclick Case Study Logo

Nutraclick more than triples their ROI

Nutraclick provides leading health and wellness products. We worked with them to identify and reactivate former customers of their subscription service.

Utilizing our proprietary machine learning algorithms, we were able to identify which inactive customers had the highest probability of subscribing again. These predictions included the most likely product recommendation per customer.

Retail Case Study

A home décor brand increases revenue return by 250%

Relativity6 worked with the branded home décor line to identify inactive customers with a high propensity to repurchase.

Our win-back and cross sell predictions delivered 250% return on revenue for the client.

Zipcar Case Study Logo

Zipcar achieves 15% Increase in Revenue per Member

Relativity6 worked with Zipcar to identify which inactive members had the highest probability of making a booking and analyzed the type of vehicle these customers were most likely to request.

Using Relativity6's proprietary machine learning algorithms, we launched a targeted campaign to these members to increase their incentive to make an immediate purchase.

What some of our partners say

Relativity6 offers cutting edge machine learning solutions for insurance, enterprise sales and retail. We are backed by MIT research and development, experience and knowledge. Please reach out if you want more information or are interested in partnering on a Proof of Concept.

Contact us

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