Customer database/customer profiling/ customer mapping whatever the word is, it’s the most important word in your business. Customer profiling is one of the vital tasks that any business should perform. With this vital concept of business combination came up with the new advanced feature “ correlation” so without much fuss let’s jump into the real talk
What is Correlation
Correlation is one of the advanced features of CommEngine’s modules basically built on the industry demand and based on the experiences and loopholes that were found out by the company owners and the business runners.
So what correlation actually does is like if you have a customer-base referring to a customer database collected from different types of campaigns/ activations and so on also parallely you have a social customer base collected from your social media platforms,
- Now do you really have a clear visibility or a clear idea that the customers who are coming from the social media and the customers that are coming from the retail activation?
- Is there any relationship between those customers ?
- Can you relate the customers and finally remove or enrich the data field according to redundancy ?
The answer is probably no but with CommEngine’s correlation feature you can definitely connect those to customers if they have the same phone number and email address and try to connect with you through social media and also through retail activations or campaigns.
How CommEngin’s consumer correlation help you
– Unifying customers in social and retail -(based on phone number & email address). Correlation allows to remove data redundancy and unify the social and retail customer with a complete tracking & visibility.
– Enriching customer groups. Categorizing has become much easier with correlation , it can make a clear segregation of consumer section and give the facility to filter any group of consumer in a flash.
– Helps you to Capture retail customer profiling in one single platform.
Experience with a distribution brand onsite survey data correlation with CommEngine
Background
Recently a FMCG company conducted an onsite survey in different areas and collected a huge amount of consumer data, and it’s a definite topic that they have a huge base of social consumers too. They imported the data to CommEngine and tried correlation.
Outcome & beneficial points
- Merged profiles help to identify the real consumer and also to establish a better relationship with the consumers.
- Removed data redundancy and that thing helped to reduce the campaign cost.
- The accurate ratio of socially aware and retail consumers helped to design the marketing aspects.
Observation & concerning factors
- There is a huge loophole in data collection as there are so many same phone numbers in different columns with different names.
- Found out the garbage data intuitively (invalid phone numbers ).
- Consumer data uncertainty ( undefined location of non-specified address ).
- Nearly 44 % of data repetition.
Based on the case study it shows beyond doubt that correlation can help you to enrich your database like a pro. You can streamline your data related tasks with CommEngine while ensuring the data sanity, data normalization and so on.