As mobile and social are quickly becoming new channels for customer acquisition, customer engagement, delivering customer service and generating additional revenue streams, many brands in retail, hospitality, health care, media and financial services are using mobile, social and digital channels as multiple customer touch-points.
With the exponential growth of these channels, it is critical that brands are able to create a 360 degree customer view by aggregating data from these interactive channels. Without holistically understanding the consumer, brands run the risk of not being able to personalize the messaging for the consumer as they visit the brand from a diverse number of channels. Despite the availability of brand monitoring tools (e.g. Radian 6, Alterian and Scout Labs) and brand analytics tools (e.g. Crimson Hexagon, Crowd Factory, SAS and Oracle), brands face the challenge of closing the gap between aggregating data from diverse channels and drawing actionable business insights. Additionally a feedback mechanism needs to be created to channel these insights towards product improvement, business process improvement or trend recognition.
Harnessing the power of data and analytics to drive business decisions and organizational decisions is not without challenges.
Real-time analytics: Real-time analytics is hard because of signal-to-noise ratio. Twitter is especially hard given the high rates at which tweets are created and the minuscule number of those tweets that are relevant to a campaign.
Sentiment Analysis: Sentiment Analysis is about the meaning of the content. Knowing the sentiment (positive, negative or neutral) is good but not enough. The data needs to be analyzed to derive improvement opportunities e.g. product innovation ideas, business process improvement etc. Additionally the human interaction component cannot be completely eliminated.
The true benefit of aggregating structured data from weblogs, social CRM, application data and unstructured data from social applications such as Facebook, Twitter, LinkedIn, customer comments and product reviews is being able to derive actionable insights. Additionally brands need to provide a feedback mechanism to channel these insights for product improvement, business process improvement and trend analysis.
Aggregating and analyzing data across channels provides the following additional benefits:
Identify New ‘Niche’ Customer Segments – People who share the same characteristics (e.g. female in the age group 35 – 45) does not imply that they share they share the same passions and interests. Building a community of loyal followers, deeply engaging with them and actively listening and participating will help to identify new niche customer segments.