Customer Analytics is a process by which raw data can be turned into informative data which helps us to make important business decisions. We can use this analysis to retain old customers, acquire new customers, grow lifetime value and to enhance customer loyalty. There are easy-to-use analytics tools available in market for small and big businesses. These tools will collect and analyse the data to make predictions regarding customer behavior which in turn help to make business decisions. This is a necessity for competitive businesses.
In simple terms, Customer Analytics is the examination of customer information and behavior to identify, attract and retain the most profitable customer.
These days customers have access to information anywhere and anytime. They know what to buy, from where to buy, how much to pay etc. This makes it necessary to predict how customers behave while interacting with your organization, so that you should know how to respond. You can also plan how to change the product offers and prices, and look and feel of your product to attract new customers. You have to be future ready, this is how you can be successful in your business.This data can be anything climate information, posts by users on social media, digital pictures and videos, etc.
Customer Analytics helps you to acquire customers, grow revenue, maintain loyal customers, increase customer response rate and reduce campaign cost by targeting those customers more likely to respond.
Below are the four Vs which helps in analyzing the data:
- Volume: The amount of data that we need to analyze.
- Variety: Data is available in below forms:
- Structured Data which is put into the form of rows and columns like Excel sheets.
- Unstructured Data which is in the form of images, videos, audio, text etc. Most of the data we have is in unstructured form.
- Velocity: The pace at which the data is increasing, and the way in which the customers are gaining knowledge of digital media, this data increasing at a very high pace.
- Veracity: You should be able to make predictions about data.
Audit your data regularly to make it more valuable.
Focus on below areas while conducting data analysis:
- Use various modes of statistical analysis to segment your customers.
- Perform various data mining algorithms to find the hidden patterns and associations in the huge customer data.
- Track individual customer on their tendency to respond, purchase or churn your product or service.
- Perform analysis to understand the unstructured data like images, social media posts, audios, videos etc.
- Use various planning and reporting tools available to understand the impact of your analysis on your business.
- You should be able to predict the next best action for the growth of your business.
Always focus on increasing the below factors of your business:
- Revenue
- Customer Conversion Rate
- Return on Investment (ROI)
- Customer Satisfaction KPIs
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