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Applied Customer Intelligence

Covering all touchpoints in the customer journey to design an honest customer experience that gets more personal with AI

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The customer touchpoints may significantly affect customer loyalty, the share of wallet, and advocacy, which in turn can affect corporate profitability.


In spite of how good businesses have become at tracking and managing customer health and usage, they often overlook gigabytes of priceless multichannel customer data, which could be used to better predict churn or prospective growth.

Turium's Customer Intelligence Platform (CIP) accelerates data ingestion, processing, modeling, and analytics. This smart platform offers a unified experience providing users with hyper-contextual insights, omnichannel experiences, hyper-personalization, and a 360-degree view of the customer, product, and enterprise. 

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CIP makes use of several AI and machine learning several proprietary tools to gauge customer satisfaction and engagement that go beyond the two-dimensional approach, including: â€‹â€‹â€‹â€‹

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  • Creating distinctive audience profiles that utilize the web, social media, search, and mobile. It enables to bring together first-, second-, and third-party data in a single location to obtain a comprehensive picture of each unique consumer.

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  • Identifying the most valuable segments across all platforms through dashboards to discover new segments for smarter personalization.​​​

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  • Providing a user-friendly interface that enables a wide variety of people to do complicated analyses and real-time generation of distinct consumer perceptions, sentiments, and behaviors.

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  • Full integration by tapping into the full potential of your tech stack with our seamless integrations and partnership ecosystem. Deep integration between analytics, data management, optimization, and personalization.

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  • Capability of powerful predictive models so you can know what your customers want even before they do.

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Use Cases

Retail

Turium's CIP starts to recognize the distinctive qualities of a customer as soon as they first visit a retailer's website. It then adds relevant data from outside sources to that visit data so the store has a thorough grasp of the customer before they make their first purchase. After the sale, CIP keeps track of the products the customer purchased, the price they paid, the offers they accepted, opportunity costs, and a wealth of other details that are used to strengthen the customer relationship.

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Turium's CIP answers questions such as: 

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  • What goods and services should I upsell and cross-sell?

  • How often should I make offers, and through what channels?

  • How should I frame or assemble my proposals for the greatest possible benefit?

Healthcare

A hospital manages demand for services, personnel levels, equipment purchases, and medical supplies, from vaccinations to transfusions, by location and season to aid in understanding patient habits. Turium's CIP provides hospitals with machine learning capabilities to recognize patterns in the patients database, which makes it possible for managers to comprehend the effects of modifying the choices on both the quality of treatment and business consequences.

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For instance, a healthcare professional can understand how more outreach could enhance follow-ups after surgery. Additionally, they may receive advice on how to deploy resources more effectively and information to help them make more effective schedules. By transforming information about existing patients into profiles that offer advice on how to advertise to potential patients with similar problems, a CIP can also increase the hospital's capacity to compete in a crowded market. These insights from CIPs are increasingly more important as more people take charge of their healthcare decisions and want high-touch, highly individualized experiences.

Financial Services

Turium's CIP identifies patterns in individual customer behaviors and helps banks provide context-driven data insights, making it easier for them to identify anomalous or suspicious activities that might indicate fraud or assess other types of risk, such as bad debt, in the broader context of what they already know about the customer.

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Aggregated consumer data can also help banks spot and identify emerging fraud strategies. Additionally, banks can forecast churn and decide which measures are most likely to keep certain individuals by combining individual and aggregated data. This enables businesses to create efficient loyalty programs while designing the most cost-effective offers possible.

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Looking to Get More Out of Your Customer Data?

Build once, use plenty, a future-proofed open architecture to design context-driven and customer-focused strategies for your business. 

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Integrate multi-channel data and our top-tier predictive capability to quickly roll out data-enabled applications.

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Use powerful AI, decision models, and comprehensible data connectivity to ensure regulatory compliance.


Ensure that every activity is audited and relies on granular security levels for dynamic control.

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Watch ALGOREUS in Action

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Impact Study: Building the Customer Centric Bank

Siloed operations hinder collaboration and knowledge exchange, which restricts the bank's ability to identify the appropriate offer for the right consumer at the right time.

In order to make client-centricity the core of their digital transformation plan, Turium teamed with a significant retail bank.

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Turium was able to resolve millions of unique clients from a single data asset, generate fresh leads for up-sell and cross-sell opportunities, and then leverage this knowledge to create new use cases throughout the bank.

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PARTNER

Retail bank

REVENUE UPLIFT

$50M +

CUSTOMERS INVOLVED

$10M +

CAMPAIGN CYCLE

From years to weeks

RESPONSE RATE IMPROVEMENT

15%

AUGMENTED AGENTS

10,000 +

Book a Demo

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