Wednesday 21 October 2020

CRM Analytics To Help In Predicting Customer Behavior Patterns

 CRM is the abbreviation for “Customer Relationship Management”. It is the process of managing customer relationships to keep the satisfaction levels intact and create a surge in lead generation and sales.




Analytics is the systematic and measured analysis of data which can be used for interpretation, discovery or strategy generation etc. 


What Is CRM Analytics? 


CRM Analytics also known as “Customer Analytics” is a set of data that is used to make better business decisions after interpreting customers’ choices, interest and purchasing regards to making more sales, bettering customer interactions and satisfaction. It is highly useful for businesses of every size but vital when it comes to large enterprises. It’s not a function that you see on the frontline, it works with stealth in behind the scenes. It aggregates the data and gives a definite report and indirectly acts like a scout for potential leads and opportunities. 

Benefits Of CRM Analytics?


  • New Trends


It tracks down if there’s any new trend or potential opportunity that the company can pounce on and milk more sales out of it.


  • Customer Satisfaction


It identifies if there is any inconvenience from the customers’ side and CRM analytics provides the relevant information for aiding that and that results in higher customer satisfaction. 



  • Adequate Marketing 


As analytics help in identifying customers’ purchasing behaviours and preferences, it helps in creating a crystal clear marketing campaigns and strategy. Moreover that helps in decreasing the marketing waste. 



  • Sales Analysis 


The data collected through all the interpretations can be used to project and navigate sales through an optimal analysis of market opportunities, customers’ purchasing power and their demographics etc. 



  • Customer Segmentation


There is a substantial diversity when it comes to customers’ preferences and tastes, CRM analytics helps in segmenting customers with similar ones so the company can have its focus in a precise direction with different products/services and they know their target market. 



Reasons To Integrate Customer Behavior Analysis With CRM 


  • Predictive Modelling


It’s evident that analysis and data collection is done to predict future models and construct strategies. Customers can be moody but they leave a pattern and a certain trail of purchases behind which can be studied. Through CRM analytics, companies can study exactly that and predict how the customers will react to any particular product/product launch with all the data interpreted and put themselves in the best position to get more sales. 



  • Setting Up Benchmarks

 

Having a certain standard is imperative when it comes to keeping up the efficiency and activities on track. Analytics helps in creating the perfect spot through optimal analysis where the benchmark isn’t too low and it doesn’t feel like you’re shooting for the moon either.     


  • Enhanced Service 



When customers’ preferences, purchasing behaviours, and tastes are analysed thoroughly, the companies have an in-depth review of what customers like, dislike or absolutely abhor, they can present well optimised services.



KaptureCRM is a customer relationship management software that provides virtual Contact Center, Service Center, Field Force, Live Chat, Self Serve, KMS, LMS  all at a single platform to build an efficient customer support service while also potentially generating leads and more sales.

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