Customer Analysis
By analyzing accumulated customer behavior data,
you can identify tendencies, demand characteristics, and
potential communities.
Who is our brand's potential customer segment?
How is our brand's customer community created?
Who are the most influential customers in your customer community?
What is the reputation of our brand on social media?
NetMiner utilizes the company’s own transaction data, social media data,
and more to uncover hidden customer communities.
In addition, by identifying online reactions to the company, it can be used for customized
marketing and customer behavior prediction.
Key Data
Social media collection data (posting, date and time, author comments, etc.)
Company transaction data
Customer behavior data
Key Contents
Extraction of interaction networks within social media
Extraction of cohesive groups and influencers of interaction networks
Comparison of your own and competitors' topics in social media
Customer community extraction and role determination
Analysis of customer network structural characteristics
Customer influence relationship and impact analysis
Discovery of customer segments based on similarity
Utility and Expected Effects
Discovery of hidden customer communities and prediction of customer behavior based on relationships/interests
Inference and targeting of potential customers based on customer community
Major Customers
Companies (retail, electronics, telecommunications, IT, etc.)
Check out the related materials.
Customer Stories