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CIO Applications Weekly Brief

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Editor's Pick (1 - 4 of 8)
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Lies, Damn Lies, and Data Visualization

Lies, Damn Lies, and Data Visualization
Douglas Duncan, CIO, Columbia Insurance Group

Predictive Analytics in Healthcare: It's Not Happening

Predictive Analytics in Healthcare: It's Not Happening
Kirk Kirksey, VP & CIO, UT Southwestern Medical Center

Predictive Analytics Key Component of Customer Experience Management

Predictive Analytics Key Component of Customer Experience Management
Richard Barton, CIO, American Management Association

Predictive Analytics in Higher Education

Predictive Analytics in Higher Education
Linda Hartford, CIO, Northeast Wisconsin Technical College

Revitalizing Data Collection with Next- Gen Technology

Revitalizing Data Collection with Next- Gen Technology
Marci Augustine, Director, Business Intelligence & Analytics, Xo Group Inc.

The Numbers Game: Making Hospital Data User-Friendly

The Numbers Game: Making Hospital Data User-Friendly
William Feaster, M.D., VP, Chief Health Information Officer, Choc Children’s

Predictive Analytics in the Insurance Industry

Predictive Analytics in the Insurance Industry
Hongyuan Wang, PhD & MAS, Director of Predictive Analytics, Data and Analytics, Employers

Three Types of Analytics Used in Practice and Their Links

Three Types of Analytics Used in Practice and Their Links
Victor S.Y. Lo, PhD A.I. and Data Science Center of Excellence Leader, Workplace Investing, Fidelity Investments

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Why Predictive Analytics is the Key to Lead Generation?

By CIO Applications| Wednesday, November 27, 2019
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Predictive analytics is allowing businesses to gain critical insights into their targeted leads with improved business outcomes.

FREMONT, CA: Lead management is an essential component of any marketing and sales strategy. However, it has always been challenging for companies to track the exact pool of customers that can boost a firm’s business. Currently, marketing firms have access to vast amounts of customer data. But the detrimental factor between a successful and unsuccessful marketing company is the processing capability or the analytics. Analytics solutions draw meaningful insights from the vast repositories of data sets. Along similar lines, Predictive analytics is the latest approach to data processing that uses data correlation to determine how to target prospective customers.

Predictive analytics utilizes data-driven prediction methods to identify the customers seeking the products or services that align with the marketing goals and strategies. The analytics solutions processes various consumer behaviors’ aspects such as previous history, search results, statistics, and other such factors that are relevant to the marketing objectives. Further, predictive analytics will also offer an insight into the expectations of the targeted customers. New offers or products can be developed based on the insights from the analytics solution.

Marketing automation is another business aspect where predictive analytics can actively contribute. Once the behaviors of prospects are understood, complex algorithms can trigger interaction with the leads immediately. Even the brands’ sites can be customized according to a specific customer. For instance, a prospect that reaches a brand’s website can be offered a tailored-resource. Thus, predictive analytics can play a crucial role in converting a prospective lead into a loyal customer.

Finally, predictive analytics can be essential incorporation for the firms that are trying to utilize their budgets efficiently. As a result, most of the firms are switching to predictive analytics capabilities to derive their marketing outcomes and power their overall business performance.

Predictive analytics is completely changing the lead management process for marketers. It is a useful means to align marketing objectives and customer needs. Marketing firms have realized the underlying potential of predictive analytics and are using it to cater to the needs of individual customers.

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