CANVASSCO | Data Analytics

DATA ANALYTICS

DEEP DIVE INTO CUSTOMER DATA TO UNCOVER INSIGHTS AND ACCELERATE GROWTH

Anchor 1

WE ANALYZE CUSTOMER DATA FROM FOUR MAJOR SOURCES

Demographic Data

Source of customer data - demographic

Transaction Data

Research Data

Source of Data - Research

Social Media Data

Source of Data - Social Media

WE BUILD AN INTEGRATED VIEW

OF YOUR CUSTOMERS

Gain insights beyond a silo view of customer data by matching individual customer responses from market research to their actual behavior gained from transaction and demographic data

We provide customer insights that...

...not only to that customer's behavior but also that of other customers sharing similar characteristics

...link customers' attitudes, views and perception and how these lead into observed behaviours

...overcome weaknesses of each source of data alone

HOW IT WORKS

Customer Segmentation Based on Transactional and Demographic Data

Pull together all of data that are available. These could include POS data, online usage, customer service, demographics, billing data, store locations and lifetime value. Clean up and prepare those data to be ready for customer segmentation by using clustering analysis.

Design Research Methodology Based on Behavioral Profiles

Formulate a plan for how each of the attributes is going to link through a database. Define good direct variable (available in the database) and indirect linkage variables to be included in a questionnaire.

Collect Customer Data from Research Technique (Online or Offline)

Draw a random sample of customers (or those who fit into a similar behavioral profile) who are flagged to be from the targeted customer segment. Then, gather information via a random sample size survey to confirm that our behavioral profiles and algorithms are accurately identifying attributes that are important to our analysis.

Data Fusion, Validation and Analysis

Merge the research, customer, product and transaction data together, It's important to watch out for over-fitting of the data due to the fact that the number of observations in the research may be small while the number of variables from the database is immense. Therefore, it's critical to do cross-validate. Next, we add value through an analysis to uncover what can be done to change customers' behavior or triggers that motivate customers to act they way they do.

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