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Customer Experience

Customer Data
Customer Data

"Understanding the customer" the most important value for the success of any business. This is because the goods or services a company provides can only create value if they meet customer needs and solve their pain points.


Companies have long utilized customer data to better understand their customers. This includes customer insight data obtained through surveys, personal information, and transactional data such as purchase history—used across functions like marketing, product planning, and customer service. While customers still live their daily lives centered around the offline world, they are also increasingly and continuously connected to the digital world as digital transformation (DX) accelerates. Every interaction in this process—every click or tap on an app or website, social media posts, hashtags, images, reviews, and search terms on shopping platforms—is being transformed into data. At the same time, technologies for collecting, processing, integrating, storing, and utilizing this ever-increasing online and offline data continue to advance rapidly, expanding the value of data at an unprecedented pace.


In step with this trend, LG CNS provides end-to-end data services and solutions, establishing itself as a trusted partner for driving its clients’ business success.

"Everything Customer" – Arm Yourself with a Strong Customer-Centric Mindset and Digital Technology!

As we enter the era of personalized marketing, customer needs are becoming increasingly sophisticated. Companies are striving to provide customized services by analyzing customer data. However, without effectively integrating vast amounts of customer data, it becomes difficult to deliver a truly distinctive experience.

The foundation of becoming a customer-centric company lies in understanding customers, yet the ability to capture and collect customer data across various channels is not easily achieved. To succeed, companies must develop the following five core capabilities:

  1. Secure a centralized data platform (for storage and analysis) that is shared across the organization and accessible enterprise-wide.
  2. Analyze customer preference and propensity data to improve offline store experiences or extract demand signals that enable regional-level demand forecasting. Continuously update customer profiles and deliver relevant customer communications.
  3. Be able to reach all customers in real time.
  4. Use customer data to create digital engagement experiences that truly satisfy customer expectations.
  5. Leverage all available data from the customer acquisition journey, including mobile app data, transaction and commerce data, and social media interactions.
Customer Data Platform (CDP), the Key to Enhancing Customer Experience

To achieve this, companies are increasingly adopting Customer Data Platforms (CDPs), which centralize customer data collected across systems into a unified repository for integrated management and analysis. CDPs also enable seamless data usage across multiple systems and channels. This empowers companies to more effectively execute a wide range of marketing activities, including email and social media campaigns. As a result, businesses can increase customer satisfaction, acquire new customers, retain existing ones, and ultimately improve revenue and profitability.

Going further, LG CNS’ CDP goes beyond data integration—it listens to the customer's real voice and identifies pain points to provide actionable solutions. In today’s business environment, the ability to deliver experiences that are "meaningful, relevant, and enjoyable" is essential for long-term success. Creating such differentiated experiences hinges on a company’s ability to "accurately understand its customers through data." LG CNS' CDP is emerging as a key enabler of hyper-personalized marketing.

Enhancing Omnichannel Customer Experience with Integrated Data

Many businesses struggle to deliver seamless customer experiences due to siloed operations between online and offline channels and fragmented data across the customer journey. LG CNS' CDP addresses this by integrating customer data across all touchpoints, enabling identification of pain points and areas for improvement. This results in a holistic, data-driven omnichannel experience that meets customer expectations.

Gaining Customer Insights from Various Perspectives

Integrated customer data can be indexed across dimensions such as transactions, preferences, and lifestyle interests to build a deeper understanding of individual customer characteristics. To create customer insights, even non-analysts can use an intuitive UI to select and combine personalized profiles and indices based on indexed customer information. Furthermore, combining diverse customer and service data enables rapid analysis execution.

Real-Time Personalized Marketing Powered by Customer Data

Batch-based collection and processing of customer data limits the ability to run campaigns that reflect the client’s current context and situation.  LG CNS’ CDP enables real-time collection and integration of customer behavior and transaction data across online and offline channels. This allows for the timely execution of personalized inbound and outbound campaigns, ensuring marketing messages are context-aware and more effective, thereby maximizing campaign performance.

Customer Success Stories
Starbucks Coffee Starbucks Coffee
Starbucks Coffee
Real-time personalized marketing to nurture leads, drive conversions, and boost loyalty across online and offline stores
LG Household & Health Care LG Household & Health Care
LG Household & Health Care
LG Household & Health Care
Korean Air Korean Air
Korean Air
Enhancing data-driven marketing by generating self-features from diverse data sources
LG Electronics LG Electronics
LG Electronics
Driving D2C growth with global CDP standards and international expansion
Customer Data Platform (CDP)
— The Core CX Data Solution for Enhanced Customer Experience and Marketing Competitiveness
Customer Data Platform Trends

The Customer Data Platform (CDP) market is growing rapidly due to accelerating digital transformation and rising demand for personalized customer experiences. Recently, companies have been focusing on the use of first-party data, driven by stricter privacy regulations and increasing consumer awareness of data privacy. In addition, advancements in cutting-edge technologies are being integrated into CDPs, significantly enhancing their capabilities. AI technologies are being incorporated into CDPs to enable customer behavior prediction and personalized recommendations, while real-time data analysis capabilities empower CDPs to drive immediate marketing actions and real-time customer experience improvements. In line with these trends, CDP plays a central role in corporate data strategy and customer experience management, and the market is expected to continue expanding alongside ongoing technological innovation.

Customer Pain Points and the Impact of CDP Adoption

CDP is a powerful platform that integrates distributed customer data and enables customer-centric marketing strategies based on that unified data.

It addresses major customer pain points by providing key capabilities such as resolving data silo issues through integration, improving the efficiency of marketing operations, enabling real-time responsiveness, delivering personalized experiences, and ensuring data privacy and regulatory compliance. This allows companies to realize data-driven business transformation while improving marketing outcomes simultaneously. CDP is not merely a technical solution, but a strategic tool for crafting and delivering enhanced customer experiences.

LG CNS CDP Use Case
Dynamic Segmentation and Effortless Marketing

Dynamic Segmentation and Effortless Marketing

LG CNS CDP supports seamless marketing execution through dynamic segmentation and data activation capabilities. The marketing manager at the world’s F&B company reported that targeting accuracy improved significantly with CDP's dynamic segmentation, and by directly transmitting self-generated segments to the campaign system, marketing lead time was shortened and timeliness improved, resulting in a dramatic increase in conversion rates. A representative from a major Korean retail company said that by automating segmentation and data activation based on integrated online behavioral and transactional data, they have seen continuous improvement in marketing efficiency and the performance of personalized marketing.

Stronger Marketing through Integrated Marketing Performance Management

Stronger Marketing through Integrated Marketing Performance Management

A global enterprise based in Korea faced challenges generating timely integrated analysis, as each overseas subsidiary conducted marketing based on different client data and collected performance metrics using inconsistent standards. The company built its own global CDP using LG CNS’s CDP solution, allowing overseas subsidiaries to analyze and activate segments using standardized, integrated data. This unified approach not only allows for integrated management of marketing performance but is also expected to elevate marketing competitiveness across the group and continuously enhance global business outcomes.

Gen AI-Powered Analytics and Seamless Activation

Gen AI-Powered Analytics and Seamless Activation

With CDP’s Generative AI functionality, marketers can intuitively extract and visualize customer segments using natural language based on their domain experience and analytical thinking.

In addition, segments can be activated in linked systems using natural language, enabling faster marketing execution in a consistent analytical context. Ultimately, marketers can efficiently create and deliver creative customer experiences through natural language.

Integrated Inbound & Outbound Marketing

Integrated Inbound & Outbound Marketing

Executing marketing across multiple channels often results in redundant messages being delivered to customers, increasing fatigue and risk of churn. Using CDP’s Journey Builder, companies can integrate and execute inbound and outbound marketing across various channels and view the consolidated results. Journey Builder helps design rational journeys for target clients and deliver optimized messages, improving marketing communication effectiveness.

Key Features of the LG CNS CDP Solution

The core capabilities of the LG CNS CDP solution focus on understanding customers and enhancing their experiences through integrated customer data, supporting improved customer experiences and enhanced marketing performance through advanced segment analysis.

ID Resolution
ID Resolution

Create a 'Customer Single View' by integrating fragmented data across various sources

Customer Feature
Customer Feature

Easily generate custom analytical attributes for multi-dimensional customer analysis when needed

Dynamic Segmentation
Dynamic Segmentation

Intuitively create segments using visual rule builders that allow even complex segmentation logic to be defined without difficulty

Dashboard Widget
Dashboard Widget

Visualize data for analysis and derive intuitive insights

Activation Connector
Activation Connector

Send customer segments directly to external marketing systems through ready-to-use Activation Connectors

Journey Builder
Journey Builder

Design optimized, personalized customer journeys

FAQ
  • Implementing a CDP is more than just a technical project—it can involve changes across the entire organization.

    This is because a CDP is not simply a data integration tool, but a platform designed to enhance customer experience and drive measurable business outcomes.

    It is essential to define clear goals such as strengthening data-driven decision-making, determining the scope of data integration, whether real-time data processing is needed, evaluating compatibility with existing systems, and establishing a collaborative framework with marketing teams who will use the CDP. These factors should be carefully planned and aligned across marketing teams.

  • A CDP focuses on integrating customer data to deliver personalized experiences, while CRM is used for managing client relationships and DMPs primarily support ad targeting with anonymous data.

    • CDP (Customer Data Platform): Collects and integrates customer data from multiple channels to build a single customer profile, enabling personalized customer experiences.
    • CRM (Customer Relationship Management): A tool used to manage customer relationships, with a focus on sales and customer support.
    • DMP (Data Management Platform): Primarily used for anonymous audience targeting in advertising, often using third-party data.
  • A CDP helps unify fragmented customer data to deliver personalized marketing and optimize customer experiences, ultimately improving business performance.

Customer Success Stories
Starbucks Coffee Starbucks Coffee
Starbucks Coffee
Real-time personalized marketing to nurture leads, drive conversions, and boost loyalty across online and offline stores
LG Household & Health Care LG Household & Health Care
LG Household & Health Care
Delivering personalized marketing with a unified customer single view built from multi-channel data
Korean Air Korean Air
Korean Air
Enhancing data-driven marketing by generating self-features from diverse data sources
LG Electronics LG Electronics
LG Electronics
Driving D2C growth with global CDP standards and international expansion
Related Resources
Innovation Starts with Data Insights
Domestic Enterprise Data Utilization Status

Business models are rapidly evolving as the digital economy expands and the boundaries between industries blur.

As competition between companies grows fiercer and accelerates, clients demand products and services precisely tailored to their preferences. They also are seeking hyper-personalized and seamlessly integrated online-offline experiences. And expectations are rising all the time.

As a result, businesses must not only swiftly grasp and respond to market shifts and client demands but also establish environments for storing and analyzing data by leveraging cutting-edge technologies such as AI, cloud, and machine learning, enabling data-driven decisions that predict the future and develop flexible strategies to create new business opportunities.

In today's business landscape, data analysis and utilization are no longer optional; only the businesses that proactively embrace and expertly leverage these technologies will secure sustainability and maintain a robust competitive edge.

Lack of Data Expertise

Many businesses lack the expertise to effectively structure, collect, and manage their data, as well as define key data and align it with their business goals. Furthermore, there is a lack of data literacy to connect analytics results to business decisions and apply them in practice.

Lack of Data Technology and Infrastructure

The lack of effective technologies is hindering businesses in ways such as insufficient solutions for the integrated management of internal and external data, the absence of proper tools for data pre-processing and integration, and excessive resources being consumed to deploy infrastructure for leveraging the latest technologies.

Insufficient Operational Processes

A lack of data governance prevents the verification and management of diverse data formats and distributed data with consistent quality, while organizational silos around data ownership create barriers to the access and utilization of data.

To overcome these pain points, businesses must define their data strategies clearly and adopt effective methods for data collection, refinement, analytics, and utilization, which fosters a robust data-driven culture and strengthens their competitive edge.

 

While most businesses acknowledge the need to utilize data, they often face limitations due to a lack of workforce, technology, processes, and the expertise necessary for effective data utilization.

LG CNS Data Service Solutions

LG CNS Data Services offer a core set of solutions that assist clients throughout their operational processes for data innovation, from assessing the current internal environment to developing case studies, while minimizing client investments and resource allocation through our leading data technologies and expertise.

By integrating and analyzing valuable industry-specific market data alongside internal data, LG CNS provides actionable insights in the form of services that empower optimal decision-making across entire value chain of our clients.

Data Status and Issue Diagnosis

Data Status and Issue Diagnosis

We actively listen to our clients to understand their needs and pain points, presenting tailored data products and use cases, and assisting in the development of comprehensive data utilization strategies.

Enhancing Data Literacy

Enhancing Data Literacy

By implementing timely monitoring to detect external market changes and internal business dynamics, we provide actionable insights from data analysis, enabling informed decision-making.

Data-Driven Business Innovation

Data-Driven Business Innovation

We offer strategy consulting and premium analysis from an integrated perspective, supporting data-driven business transformation across all aspects, from business strategy and product planning to sales, marketing, and customer management. Everything that helps businesses implement strategies and actionable tasks.

LG CNS Data Services for Business Success
Business Intelligence (BI)

LG CNS's BI is a unique integrated analytics service that combines external market data with client-specific data to collect, organize, analyze, and visualize insights. By harnessing these data-driven insights, we empower clients to make optimal decisions, evaluate business performance, and understand market shifts and customer behavior, which in turn drives competitiveness, growth, and new opportunities.

Maximize your business performance with LG CNS's unique BI service through strategic, efficient data utilization.

Data Collection and Standardization
Data Collection and Standardization

Collect and pre-process data from multiple sources to convert it into an analysis-ready format

Integrated Data Managment Infrastructure
Integrated Data Managment Infrastructure

Provide stable and scalable infrastructure for storing and managing collected data

Data Analysis
Data Analysis

Leverage AI and machine learning to analyze key metrics, including revenue, customer behavior, and performance, deriving meaningful insights

Visualization Reports
Visualization Reports

Transform complex data into easy-to-understand visuals that enable fast, effective decision-making

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