Author : Anand Singh Bhandari
Director - Business Analytics

Anand heads the Business Intelligence practice for Espire, playing the lead role in establishing best practices and our roadmap for a robust BI practice. He ensures development and implementation of frameworks for rapid project deployment and capability enhancements in the group.

Role of Data Analytics to Drive Customer Acquisition and Maximize Return on Campaigns

Digitalization has drastically changed the way people shop and how they interact with brands. In this digital age, everyone is a potential customer who can research and compare products from different retailers. To nurture your brand and capture new customers, you need to adopt customer-centric marketing strategies.

According to the Gartner, only 14% of organizations have achieved a 360-degree view of the customer. However, 82% of businesses still aspire to attain this goal in a Gartner survey of 402 marketing, IT and other enterprise leaders.

The two major hurdles that organizations face when attempting to achieve a 360-degree view of the customer are poor customer data quality and the lack of consensus on what exactly a 360-degree customer view is,” said Lizzy Foo Kune, vice president analyst in the Gartner Marketing practice. “Digital marketing leaders hope that this view of the customer will unify cross-functional data in their organizations to drive personalization and retention. However, few are actually successful."

Creating a customer-centric digital marketing strategy that accurately targets and addresses your customers’ needs is essential for any business. However, this can be challenging when you lack the right tools and data to help you do it. In this article, we’ll be focusing on how you can use data analytics in your digital marketing efforts to acquire new customers and retain current ones.

Top 4 ways data analytics will help brands sail in the next normal

What is customer data analytics?

Customer data analytics can be described as the process of using data to improve your digital marketing strategy. It involves obtaining and analyzing data from your channels and the customers who use them, so you can improve your customer engagement and conversion rates.

How to capture customer data with analytics?

The first step in data analytics is to capture data from your channels and customers. The type of data you capture will depend on your channels and customer types. For example, you might want to capture the email address of customers who sign up for your newsletter.

Start with clear objectives

It’s important to start with clear objectives so you know exactly what data you need to capture and why. For example, if you want to increase the number of customers who sign up for your email list, you need to decide what number you want to increase. Once you have decided your end goal, you’ll know what data you need to collect and create marketing campaigns that are tailored to getting that result.

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Identify the necessary data

Once you have your clear objectives and number of customers in mind, you can start to decide which data you need to collect. There are a few different types of data you can choose from, including: -

Demographic data - This includes data such as age, gender, marital status, income, education, and interests.

Behavioral data - This includes data such as what customers do and don’t do, such as how often they open your emails, click on your links, and purchase your products.

Customer interactions - This includes data such as how often customers interact with your brand, such as how many times they click on your links, open your emails, and make purchases.

Customer engagement - This includes data such as whether customers like your content, your products, and your brand as well as how often they interact with your content.

Use the right customer data analytics tools

Once you’ve collected your data, it’s time to start analyzing it. Before you do this, you should make sure you’re using the right tools. It’s also important to consider the type of data you’re analyzing, as well as the context in which you’ll be using those data.

Espire’s integrated Analytics services cover Diagnostic/Descriptive Analytics to AI/ML powered Predictive and Prescriptive Analytics offering industry specific expertise in diverse domains such as Utilities, Customer Communications Management, Insurance, Education and Manufacturing.


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Domain specific consulting, Business maturity assessment, Strategic roadmap


Diagnostic/Descriptive Analytics - Develop Bus Matrix, Business Process Elaboration, Conformed Dimension Model. Predictive and Prescriptive Analytics - Feature Engineering


Diagnostic/Descriptive Analytics - Component Analysis, Data Flow, Data Integration, Data Lake Development, Presentation Layer, Data Strategy & Governance Predictive and Prescriptive Analytics - Diversified Algorithms Models, What-if and sensitivity analysis, & A/B testing, Assess and Deploy Analytics Models


Text, image, video, sentiment analysis, threat detection, model reports, solution deployment

Customer data analysis drives revenue through insight

Now that you have your data, you can start to put it to use. The first thing you can do with your insights is to create reports. These allow you to create summaries of your data and what it means, allowing you to track your progress and improve your marketing strategy. You can also use insights to start creating targeted marketing campaigns.

Designed a scalable Kofax solution to automatically extract and manage key financial data for a leading uk based real estate company Blog


Organizations are facing headwinds in customer acquisition and customer retention as almost all the markets are nowadays buyer’s markets. Executives expect analytics to deliver information on potential customers/markets to channel resources and capitalize by acquiring customers/market. At Espire, we are assisting companies implement state-of-the-art technology solutions to achieve their business goals and build resilience.


Enhancing Customer Service with Generative AI Chatbot

Generative AI refers to a branch of artificial intelligence that enables machines to create original content, such as text, images, or audio, based on patterns and examples from large datasets. Generative AI models, like Chatbot, utilize deep learning techniques to understand and replicate human language, providing automated responses that simulate natural conversation

Top 6 Benefits of CX Personalization for Businesses with Sitecore Personalize CDP

Customer experience (CX) has become the key competitive differentiator for businesses to build customer loyalty. Sitecore Personalize and CDP can help businesses create more personalized and engaging customer experiences, leading to increased loyalty, higher revenue, and improved customer satisfaction

The impact of technology on healthcare and how it is transforming patient care

With the introduction of various breakthrough technologies, the healthcare sector is anticipated to undergo a considerable transformation in 2023. Among the technologies predicted to have a big impact on the market are artificial intelligence (AI), telemedicine, wearable technology, blockchain, and 3D printing. These innovations could increase healthcare's efficiency, accessibility, and affordability.

A Complete guide to upgrade to sitecore xm cloud why when and how

Sitecore XM Cloud's composable architecture allows organizations to create and manage personalized digital experiences for their customers, increasing engagement and conversions. With its cloud-based delivery model, Sitecore XM Cloud eliminates the need for organizations to maintain on-premises infrastructure, providing a cost-effective and secure solution for managing digital customer experiences

Unleash the power of data analytics to master management by exception

Data analytics is becoming increasingly important for businesses, and one of its most powerful applications is in management by exception. By leveraging the power of data analytics, you can gain insight into how your business is performing and where it needs improvement.

Leveraging composable architecture to drive unforgettable digital experiences

A composable architecture allows the application to adapt to the speed of business while enhancing responsiveness and scalability, paving the way towards driving greater business growth. In our latest blog, we share the benefits of leveraging a composable microservices-led architecture for business applications.

Top 10 strategic technology trends for 2023 by gartner Part2

In our first blog on Top 10 Strategic Technology Trends for 2023 by Gartner, we had discussed the top 5 technology trends that will enable businesses to offer customized experiences to the end users for better engagement, ROI, conversion, and sales. As a concluding part of this 2 series blog, we will enlist and discuss the next 5 disruptive tech trends to be witnessed in 2023 such as Wireless value realization, Superapps, Adaptive AI, Metaverse and Sustainable technology.

Top 10 strategic technology trends for 2023 by gartner Part1

The pace of change is accelerating, driven by emerging technologies such as artificial intelligence, the Internet of Things, big data and blockchain-all of which are changing how we work, live, and manage our businesses. In this blog, Part 1 of the top 10 strategic technology trends for 2023, we will be exploring the top 5 trends identified by Gartner, which can significantly contribute to your success story.

Agile tech solutions and agile mindset foundation of future ready and resilient businesses

The Agile technologies help employees become self-sufficient and motivated to work more collaboratively & deliver ROI-driven solutions while eliminating the constant need for supervision and micro-management to achieve goals.

Role of data analytics to drive customer acquisition and maximize return on campaigns

Creating a customer-centric digital marketing strategy that accurately targets and addresses your customers’ needs is essential for any business. However, this can be challenging when you lack the right tools and data to help you do it. In this article, we’ll be focusing on how you can use data analytics in your digital marketing efforts to acquire new customers and retain current ones.

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