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Customer Analytics Training for Beginners
Rating: 4.3 out of 5(31 ratings)
9,939 students

Customer Analytics Training for Beginners

Understand how data is used to find out customer behavior and to create more effective business strategies.
Created byEDUCBA Bridging the Gap
Last updated 12/2024
English
English [Auto],

What you'll learn

  • Learn customer analytics, Customer life cycle, Customer on boarding
  • Learn about Customer activation, Customer activation importance, Cross-selling and so on
  • Apart from that, the candidate also learns about Upgrading upsell, Campaign life cycle transition, Campaign execution, Campaign channel, and Campaign assessment
  • It can also help in understanding how data can be used to find out much-hidden information about customer behavior

Course content

2 sections • 29 lectures • 2h 46m total length

  • Introduction1:42

    Explore a practical overview of customer analytics, covering the customer lifecycle, onboarding, activation, cross-sell and upsell, and the full campaign lifecycle including channels and measurement.

  • What Is Customer Analytics4:23

    Explore how customer analytics uses data from customer behavior to help make business decisions through market segmentation and predictive analytics, including credit scoring, marketing, and customer relationship management.

  • Customer Life Cycle3:30

    Explore the customer lifecycle in CRM, from acquisition to onboarding, activation, cross-sell, upgrade, and retention, and learn how onboarding boosts retention and lowers costs.

  • Customer Onboarding When Whom1:01

    Learn how the customer onboarding process activates during the first three months, guided by channels like direct individual solutions, outbound telemarketing, and branch relationship managers, including ATM interactions.

  • Customer Onboarding Process For A Typical Bank4:13

    Onboard customers through initial communication, setup details, and follow-up; provide product or service details, define success metrics, and use feedback to improve retention.

  • What Is Activation And Why Is It Necessary0:42

    Activate dormant customers through targeted activation campaigns to prevent attrition, strengthen relationships, and boost profitability by offering added facilities.

  • The Importance Of Customer Activation2:51

    Automate onboarding and activation across channels to move customers quickly through the lifecycle, reducing manual steps, boosting productivity, and accelerating revenue while improving experience and retention.

  • What Is Cross Sell And Why Cross Sell2:49

    Execute cross-selling by offering additional products to current customers based on past purchases to increase income and deepen wallet share. Differentiate from competitors with next-generation cross-sell strategies that protect relationships.

  • How Do We Cross Sell Effectively6:13

    Learn to cross-sell effectively by analyzing customer needs, deploying targeted CRM strategies, and tracking multi-channel interactions to maximize profitability, focusing on the right customers and digital channels.

  • Upgrade Upsell5:37
  • Campaign Life Cycle Transition To Lead Management4:23

    Explore how campaign lifecycles transition to lead management using Salesforce automation, linking marketing campaigns to accounts, contacts, and opportunities, and extending into Service Cloud and customer support automation.

  • Stages Of Campaign3:44

    Navigate the stages of campaigns from pre-campaign profiling, segmentation and propensity modelling to champion versus challenger testing, execution with right channels, and post-campaign waterfall and control evaluations for planning.

  • Campaign Execution3:10

    Explore real-time campaign execution and the roles of store business, marketing, risk, finance, and product teams in budgeting, pricing, segmentation, and rollout, with regulatory and data privacy considerations.

  • Campaign Channels7:03

    Explore cross-channel marketing and how integrating multiple channels like email, social, and telemarketing strengthens campaigns through coordinated goals, analytics, dashboards, and consistent branding.

  • Campaign Assessment4:48

    Measure campaign effectiveness with test versus control analysis, interim and final analyses, track business goals, revenue, and ROIC, and use dashboards to compare campaigns and monitor sentiment.

  • Conclusion7:36

    Define key customer analytics metrics—response rate, sales rate, net sales rate, conversion rate, ROI, and lifetime economic profit—and illustrate with e-newsletter and life choice campaigns.

Requirements

  • The people who are taking this Customer Analytics Certification Course should have certain specific skills to succeed and the same are as below: Problem-solving abilities – A skill that is vital for every engineer. passion to learn – if you feel excited about new things, you are most welcome in this Customer Analytics training. Interest in mathematics and applied mathematics – analytics and mathematics go hand in hand and you cannot avoid it. Proficiency in at least one programing language – because all units have coding exercise.

Description

Customer analytics is the technology that helps organizations unlock details about their customers and find insights that can expand their businesses and increase their return on investment in such endeavors. We will provide a brief introduction to this fast-growing field of customer analytics and talk about why it is needed for companies, how it is used there and what are the benefits and setbacks of Customer analytics.

Today, it is important for all organizations to learn how they can effectively work with customer data to gain insights and answers to key questions that can enhance their business operation and revenue. In this Customer Analytics Certification course, to teach such fundamental aspects of the technology, we shall use sophisticated statistical tools such as R and Tableau to analyze some actual customer data.

The use of Customer analytics is becoming more and more applicable to today’s world. Data is growing at a fast rate and all companies want to utilize this huge amount of data to learn about the needs of their customer. Customer satisfaction is key to competitive success and those organizations do not understand their customer losses in this battle of fierce competition. Customers are becoming more and more powerful with so many options available to them and they have to power to share their experience through social media to a large number of peers which can benefit or ruin a company Customers are armed with so much of information that they can build the brand in a day or ruin them. If companies can understand their customer’s buying habits and their pattern, then they can predict future customer behavior which will guide them to launch what relevant products they need at the right time and thus will earn a huge amount of profit.

Customer analytics can be better understood through below bullet points:

  • Customer analytics helps organizations increase the response rate such as for incident tickets etc.

  • Customer analytics leads to high customer satisfaction and customer loyalty and also turn the business by increasing the return on investment

  • Customer analytics builds a mechanism that reduces the campaign cost by only targeting the right customers which are most likely to buy a given product or service at the given time.

  • It can also help in decreasing the attrition rate of employees by predicting the customer’s expectations well in advance and also deliver the required product to them when it is needed.

  • It can segment the customers into specific groups more effectively so that it is easy to understand the customer and their needs in a better way.

  • It can also help in understanding how data can be used to find out much-hidden information about customer behavior.

  • Best practices about using the data so that personal information is not exposed are also taught in this Customer Analytics Certification and are quite important for customer analytics professionals.

  • Effective business strategies can be designed using current data and analytics

Who this course is for:

  • This Customer Analytics Training Course is designed keeping in mind the need for professions such as data managers, business development managers, marketing managers, data analysts, data scientists, and IT managers. Apart from this, those people who are interested and passionate about learning customer analytics may also take this course for their professional development. In this section, we provide details on the type of people that are suitable for this Customer Analytics training and the list goes as below: – Junior Data analyst: People who know some details on data analysis and machine learning but now wants to learn customer analytics course. Data Engineers: These are such people who work with database systems like database developers or database administrators etc.

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