Customer Analytics
Enterprises can take advantage of solution solutions that help them make faster and more accurate decisions based on data. The provision of Customer Analytics Services that assist enterprises in the targeting of customers through personalized product service suggestions, the prediction of customer behavior through predictive modeling, and the understanding of customers through a 360 Degree Customer View, we also provide Customer Analytics Consulting Services to assist with the development of Customer Segmentation Strategies, Churn Management, and Prediction.
Customer Data Can Be Divided Into Four Types for Analysis
Transactional Data
When product/service purchases, returns, and reservations are analyzed in detail, it can reveal customer purchasing habits, payment method preferences, the share of wallet, and other relevant information.
Web Behavior Data
Analysis of the pages that clients open, the way they scroll down the page, the points at which they click on “buy” or “return,” and so on. It assists in identifying critical points in the customer journey, evaluating the success of certain pages, and customizing them as needed.
Customer-generated Text Data
Analyzing online reviews or social media posts about a product or service can assist in identifying client preferences, uncover customer complaints and problems to solve, and recognize customer attitude toward products/services in particular and the firm brand in general, among other things.
Usage Data for Services and Products
It is important to understand how customers utilize products and services so that businesses can enhance their product and service portfolios.
Customer Analytics Solution
CRM Software
Customer relationship management data is automatically transferred to a customer analytics system to increase customer knowledge and find new revenue streams. Transfer of analytics insights into a customer relationship management system for usage by marketing, sales, and other customer-facing employees. Examples include email analytics, which may be used to determine the amount of client involvement and direct sales efforts in the appropriate direction.
Ecommerce Platform
Automated loading of ecommerce data into customer analytics solutions allows tracking metrics such as traffic to a website, conversion rates by device, average order value, revenue by customer segment, and return on ad spend. This information can be used to identify issues preventing customers from completing the conversion funnel, track the efficacy of marketing initiatives, and more.
Point of Sale System
Transactional data from the point of sale systems is fed into customer analytics software through a pipeline. If properly evaluated, this data can provide valuable insights into customers’ preferences for products/services and payment methods, and purchase times. It can also assist in the identification of popular product/service bundles.
Social Media Accounts
Customer sentiment on products, services, brands, and other items is sent through social media accounts to customer analytics software. Such data analysis enables businesses to evaluate the efficacy of marketing and sales campaigns, gauge brand awareness, detect unmet customer demands ahead of competitors, anticipate new consumer trends, and perform a variety of other tasks.