Customer Loyalty Hinges on Trust

consumers have become more vocal about their choices andpreferences than ever before

Online, on mobile devices, and in the social sphere, they broadcast their likes and dislikes with great clarity

But the brands that serve them often fail to hear them until it’s too late

Historic analysis of consumer behavior is a poor predictor of what the consumer will do today

In this very moment, millions of consumers contemplate their allegiances and consider making the switch to a rival brand

the cost of acquiring a new customer far outweighs the cost of keeping one

to safeguard customer loyalty and stem churn, organizations must learn to monitor the vital signs of consumer sentiment in real time

To evolve from explanation to prediction and beyond - toward analytic insights that prompt personal, timely actions that drive customer value and delight.

It’s no secret that data holds the key yet what most organizations think of as data sources is only the tip of the iceberg

The last several years have seen an explosive growth not only in the size of data but also in the sheer variety of available data

The heartbeat of consumer sentiment resonates across call center records, machine log files, social media posts, email, and web clickstream data

Through the lens of data analysis, brands can begin to predict who will churn, why and when

Traditional analytics cannot paint a complete picture of consumer behavior because it’s not able to leverage the full array and volume of data that has

now become available

With Big Data 2.0 Analytics, brands can now tap into a wider variety of data,

process inputs with remarkable speed and accuracy,

and deliver real-time personalized recommendations for each customer at the most granular level.

Profound insight into customer behavior becomes possible when diverse forms of data can be combined in novel ways,

revealing patterns and correlations in the torrential deluge of data.

With Big Data 2.0 Analytics, brands can create targeted offers and proactively solve customer issues

Where guesswork and instinct once drove business decisions, brands can now begin to implement a data-driven strategy

With Big Data 2.0 Analytics, every data source is now at their fingertips.

And the ability to derive insights from data is no longer the privilege of select few but available on-demand across the entire organization

By identifying the needs of potential consumers and improving customer experience through personalization,

brands will not only ensure customer loyalty

but are likely to see a significant improvement to their bottom line

Thank you!