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The 3-Fold Path to Personalization with Customer Data

Customer Data is all the stardust that the Marketer Needs to Create a Magical Personalization Model! Learn with Martech Cube exactly how!
customer data personalization

Retuning your Converting a one-time buyer into a repeat customer is one of the most effective ways for many businesses to grow, and one of the perfect methods to do this is by offering personalized customer experience. With the virtually limitless shopping options, consumers have in their hands, retailers can differentiate themselves from competitors by tailoring their marketing to the individual customer. Targeted email marketing, web marketing, etc. are highly effective marketing as well as retention tools provided the underlying data is available.

Customer data plays a key role in delivering personalized experience to customers, so having the right data is a crucial part of this process. Let’s check out how customer data helps in delivering personalized experience to customers.

Capabilities of customer data for personalization we assumed:

As we all know, when it comes to personalization, customer data plays a very important role. It had a major contribution in the evolution of marketing. Customer data has helped marketers in sending personalized messages to the audience. This personalized outreach helps marketers in better and personalized targeting of potential customers through emails or other modes of messaging.

Customer data for personalization also helps the sales team in contacting the target audience with their basic information. It is like a personalized cold outreach because the person who is outreaching has basic data of the individual but there are many other things that he doesn’t know, in regards to its sales closure.

Customer data also works as a helping hand in developing marketing strategies with a personalized approach. It empowers marketers to develop strategies with respect to their audience they know with the help of the customer data.

Actual capabilities of customer data for personalization

Whatever you and I assume about customer data for personalization is hardly anything we know. Personalization has evolved a lot with the help of intensive use of customer data. Let’s have a look at the actual capabilities of customer data for personalization.

  • Newer Behavioral Data Capabilities

Customer data for personalization presently are capable of collecting and personalizing real-time behavioral data. This empowers marketers to apply AI and machine learning to customer behavioral data to personalize customer interaction across points of sales, websites, and apps.

  • Newer Data Collection and Importing Capabilities

For personalization,

it is important for marketers to simplify the collection and importing of real-time data. Simplified and real-time data collection and importing help in quick analyzing of data to get valuable insights in no time.

  • Newer Web Analytics Capabilities

Newer web analytics is the need of marketers in the present time for better and efficient personalization outcomes. It enables marketers in categorizing unknown website visitors by interest and drive richer experience across various digital channels.

  • Newer Partner Integrations

Newer Partner integration helps marketers in accelerating time to value and achieve their compliance goals with ever-changing consumer data privacy and security regulations.

To help marketers in simplifying the delivery of personalized marketing program that helps in enhancing sales, improving customer satisfaction, and growing customer lifetime value, Oracle recently launched a series of new innovations in its customer data platform, Oracle Unity.

We, as common individuals have hardly noticed this evolution of customer data for personalization but it continued to evolve behind the scenes. Today’s newer capabilities of customer data for personalization have made marketers more efficient and marketing strategies more effective.

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    Chandrima Samanta
    Content-Editor at MartechCube
    Chandrima is a Content management executive with a flair for creating high quality content irrespective of genre. She believes in crafting stories irrespective of genre and bringing them to a creative form. Prior to working for MartechCube she was a Business Analyst with Capgemini.

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