Customer Loyalty and Churn Analysis
Turn your customers into growth drivers by increasing loyalty, retention, and brand advocacy with data.
Given the high customer acquisition costs across industries, retaining customers is often more cost-effective than acquiring and winning new customers. Hence, most forward-looking, agile businesses aim to convert first-time buyers into long-term profitable customers, making customer loyalty and churn analysis an indispensable part of every organization’s customer retention efforts.
Today improving customer loyalty and reducing churn through an intelligent segmentation of your customer base is essential to business viability. But to reap maximum benefits from a well-segmented and thoroughly analyzed customer database requires analytical thinking and a data-backed approach. Quantzig’s deep expertise in customer loyalty and churn analysis can help you drive your customer retention efforts by enhancing your ability to mine customer data and leverage insights.
Core Capabilities
Sentiment Analysis
Sentiment analysis helps businesses detect customer sentiment on social media, gauge brand reputation, understand the unique needs of customers. Analyzing sentiments also helps businesses drive customer loyalty and, in turn, reduce churn.
We offer advanced sentiment analysis solutions that leverage machine learning algorithms and natural language processing (NLP) to assign weighted sentiment scores to the entities and analyze datasets in real-time so that you can take appropriate actions and solve critical business issues in real-time.
Market Basket Analysis
An unpredictable economy and unrelenting marginal pressures require businesses to think more proactively and identify factors that drive consumer buying preferences and behaviors.
Our unique approach to customer loyalty and churn analysis combines in-depth domain expertise, predictive analytics, and data mining to help clients gain actionable insights and make smarter decisions that future-proof their businesses.
Churn Modeling
Measuring and analyzing the underlying reasons for churn is of utmost importance for businesses so that they can devise ways to reduce it.
To address this requirement, we’ve developed robust customer loyalty and churn analysis solutions that can help effectively manage risks associated with churn while improving business value.
Customer Retention Strategy
In the current business scenario, it’s worth going the extra mile to retain profitable customers by improving service efficiencies and customer satisfaction rates.
We’ve curated a portfolio of advanced customer loyalty and churn analysis solutions that focus on increasing wallet share by identifying and retaining profitable customer groups.
Agile, forward-looking businesses leverage data-driven insights to attract and retain customers. With Quantzig’s unique data-backed approach to customer loyalty and churn analysis, businesses can now measure customer churn indicators and prevent at-risk customers from churning before it’s too late.
Drive your customer retention efforts by enhancing your ability to mine customer data and leverage insights.
Request a free proposal to understand the drivers of customer success and improve loyalty by delivering the outcomes your customers desire.
Our Latest Articles
Use Cases or Big Data Analytics in the Media & Entertainment Industry
What You'll Find in this Case Study: Industry Overview We’ve highlighted these big data use cases in this article: Highlights of the Write-Up– Big Data Challenges in the M&E Industry The Complex Media and Entertainment Industry – Overview Factors that influence...
Use Cases of Big Data Analytics in the Healthcare Industry
Healthcare Industry Overview The healthcare industry has seen a complete overhaul in the recent years due to big data analytics. Given the ubiquity of healthcare data generated by business processes within the healthcare sector, healthcare data analytics and big...
Major Use Cases of Big Data Analytics in Food Industry
Irrespective of the location across the globe, you’ve been a part of the food and beverage industry, often as a consumer. As we’re all aware, the food and beverage industry is divided into multiple sub-sections, ranging from—fine dining to fast food. First, let’s talk...