Strategy that boosts sales

Optimize your product prices for every user in real-time

The Pricing Strategy That Boosts Sales

Nowadays, as people expect fine-tuned recommendations and real-time offers based on purchases from the likes of Amazon and Netflix, they also anticipate the same from their chosen financial institution. Hence, it is impossible to ignore the potential of personalized and relevant content. This is why financial institutions of all sizes today prefer advanced analytics to customize all components of the marketing mix, primarily to offer dynamic product pricing.

Promote sales growth and strengthen customer loyalty

Recent researches have shown that predictive models are used by financial institutions to optimize product prices for every user in real-time. Take life insurance, which is viewed as a static, one-dimensional product. With very little incentive other than providing death benefits, life insurance companies have to put in tremendous efforts to drive sales growth. But what if life insurers can get access to near real-time data about policyholder’s lifestyle and fitness via telematics devices? With that, life insurers can continuously reassess a person’s risk profile and accordingly adjust the cost of coverage. When this data combines with patterns and correlations in customer data sets, insurers can offer premium adjustments and discounts for a healthy lifestyle. In this way, health insurers can encourage a higher percentage of prospects to convert. Our data intelligence and analytics services are not only limited to showing insurers dynamic product pricing, but its predictive models can also showcase the organization as a truly customer-centric company as it can notify policyholders to take medications and schedule checkups, thus improving customer loyalty.

In financial ecosystems, AI technologies bring together consumer insights from diverse data sets, including third-party insights from credit bureaus, social media channels and others. The goal is to develop an ability to offer contextual and personalized product pricing as well as advice based on aggregated data.

With data intelligence, you can:

  • Offer the right price, to the right consumer, at the right time
  • Personalize product recommendations based on data about each customer’s digital behavior
  • Promote additional services and offerings based on past and current buying data of customers
  • Develop personalized, real-time offers, matching immediate consumer needs

Talk to us about your data complexities and let data intelligence address them