Services Overview

Helping you compete on analytics

What does that mean, exactly?
Companies who can harvest data to guide their business decisions have 10-20% higher returns than those who do not. We provide the analytical services and bespoke analytical web applications to help you realize this revenue upside.

Who Uses our Services & Web Applications

  • B2B, B2C marketing departments looking to augment their operations with analytical expertise
  • Companies who have the data but not the analytical expertise
  • Companies looking to augment their in-house data with third party demographics, firmographics and social feeds
  • Marketers who are unsure about the ROI on their marketing

Fraud detection and mitigation

Use Infernotions' proprietary fraud detection and mitigation technologies to cut insurance fraud. Select capabilities are highlighted below: 

  • Fuzzy analytics 
  • Multi-variate predictive models
  • Cross-device traffic mining (for online fraud detection)
  • Collusion fraud detection (patented solution)
  • Claims and underwriting fraud* models

Our clients value our expertise because our custom analytic solutions focus on the value levers in the business process. Analytics on its own is useless if the insights are not actionable.

*The Coalition Against Insurance Fraud blogged about underwriting fraud being the poor cousin to other types of auto insurance crimes. They point out that law enforcement treats premium fraud scams lightly. In several states misrepresentation on policy applications is not considered a criminal offence. The relatively low importance to this type of fraud is unfortunate since a 1% reduction in policy errors could mean as much as 20% jump to an insurer's profits (Source: Quality Planning Corporation, January 2010). Especially for insurers who use the Internet as a sales channel, embedding our audit engine into the application process pays rich dividends. Contact us to to learn more about out success stories in curbing underwriting fraud.


Illustrative claim process flow P"

Case Study with Epson America

See how Epson used big data analytics to streamline marketing decisions.

Data Augmentation

Don't have the data, the database technologies, the data management expertise, or any combination thereof? No problem. We give you access to a comprehensive group of data partners to craft a 360 degree view of the customer.

Illustrative list of data appends available:

  • Demographics
  • Firmographics
  • Geo-location mapping
  • Psychographics
  • Facebook profiles (conditional on end-user acceptance)
  • Cookie data


Customer Segmentation

We can help you understand which of your customers are most profitable, which are most likely to purchase again, which are discount shoppers, etc. Once you have this sort of information, you can better design your marketing campaigns. For example, you may increase your budget for customers who are likely to purchase again, and reduce it for discount shoppers. We can customize our algorithm to segment your customers into groups that work for you. Use these segmented groups to strengthen your ROI.

Case study: How a retailer uses segmentation »

CRM pillars - PolyTab

Persona Development

We can help you develop complete customer profiles, even if you don't have the data. Our data partnership and capabilities enable us to take limited pieces of data on customers, and populate it into detailed customer personas including information such as.

  1. Purchase preferences
  2. Disposable income level
  3. Demographic profile
  4. Likes and dislikes
  5. Communication preferences, and more


Customer Lifetime Value Calculation

It is surprising that most companies have no idea about their customer lifetime value. This is an extremely important metric as it can help you better allocate budget and calculate real ROI on your campaigns. This may be the one thing you need to get ahead of that one competitor who seems to be getting ahead. We can calculate the lifetime value of your customers, and make recommendations on how to best utilize it.

Here's a free lifetime value calculator for your review:

Download Free LTV Calculator »


Return on Ad Spend Measurement

Return on Ad Spend (ROAS) measures how much revenue you are making for every dollar you spend on advertising. It offers the direct result of each advertising dollar you spend. It tells you how much money your advertising generates for you.

Although calculating this sounds fairly simple, it is one of the most miscalculated metrics! An incorrect number for ROAS is probably why your advertising makes you money on paper, but does not show any real gains.

Download the free spreadhseet tool below to see how the method works for estimating returns on email ad campaigns.

Free Calculator: Measure Campaign ROI »


Request Your Free Consultation

Find out how our team of experts can help you gather, manage, analyze and interpret data to make informed decisions.
Access to the Big Data consumer analytics and the rapid turnaround has improved my team's effectiveness in support of business requirements.Susheem Gupta, Manager Strategy and Analytics, Epson America, Inc.Read Case Study »

Hypothesis Testing

Unsure about your strategy? Want a benefits estimate on your big initiative before the rollout?

Ask us to validate your design through tests on your hypothesis. We provide an independent, impartial assessment to help you make the best decisions for your business.


Telematics Applications

IDC defines Big Data technologies as a new generation of hardware and software that integrates, manages, analyzes and presents data characterized on the four V's of Volume, Variety, Velocity and Value.

The Big Data wave is unique because this generation's data technology affords a company a view into product usage that was hitherto in its blind spot. Our specialization is in analytics around telematics / telemetry data delivered by the product install-base of a company.

The usage data delivered from the installed units are harvested and merged with other data sources to deliver useful, usable insights for product teams, brand marketing and the merchandising groups. In a specific example for a consumer goods manufacturer, we linked product usage data with their channel sales. A staggering 80% of their most active users were foregoing product purchases through our client's e-channel, preferring to purchase no-name products or using third party retailers.