Customer A purchases a product from Company XYZ at Store123. They are very happy about the product and the associated service. Chances are this customer will market the product by word of mouth to their immediate contacts. This was the situation till Twitter, MySpace and Facebook became the voice of the customer. Today the same customer almost immediately uses their social network site and blogs about the company, store, product and all the good stuff they experienced. What this does is a very powerful marketing channel for the company and its product, creating a market demand across the globe.
IF the Customer had a negative experience and was very upset, the message from this customer will evoke more similar reactions, and this will end up as a negative branding and marketing for the said company and its product/service.
How do companies measure this? how will they hear the voice of the customer?. This is where the emerging field of Sentiment analysis and Opinion mining plays a large role. There are software products available to enable the processing of customer sentiments in the internet and in the media, by analyzing these sentiments, companies can train their CRM, Call Center and Marketing departments to enhance the quality of service and can reap rich rewards.
Marketing will be the biggest beneficiary of this exercise. Today if you cannot market to the individual, your chances of getting their attention to the product / service that you intend to sell will simply not be there.
We are seeing the increase of target marketing on the internet and especially on Social Networking sites, why? the answer to that lies in the fact that you might be able to get the attention of hundreds of customers in one swoop, and reapply the same ad multiple times across areas of the world. Companies have been able to do this based on three items
1. Clickstream data analysis
2. Sentiment analysis
3. Market basket analysis.
Most of us know 1 and 3 and its importance. Item number 2 is the new kid on the block that will impact the success of exercises that are being done from analyzing the data from items 1 and 3.
Sentiment Analytics help us understand the sentiments of customers and the associated audience feedback. Companies have started tapping into the internet and there are very successful case studies of how companies have reaped rich rewards from just this one exercise
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IF we can expand this to go beyond just sentiment analysis to other areas such as buying experience, product experience and even look at wishlists etc, we will be able to leverage the voice of the customer beyond just corrective course and target marketing.
If we are to look at the next big thing, Social Analytics is one of them.
Posted August 27, 2009 9:33 AM
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