Consumer buying behavior is increasingly complex, and marketers have little clue as to what exactly dictates consumer buying patterns and their future course of actions.
However, thanks to the development of predictive analytics technology , we are now in a position to ascertain the behavior patterns of consumers and individuals. Predictive analytics offers us the needed inputs to make such informed decisions leading to the healthy growth of an organization.
What is predictive analytics?
Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. It involves applying statistical analysis techniques, analytical queries and automated machine learning algorithms to data sets for predicting future outcomes. Marketers can make use of predictive analytics to target specific audiences who are most likely to become their customers. Predictive analytics will provide us with an assessment of what will happen in the future.
Organizations that rely on predictive analytics to fine tune their marketing campaigns will find greater success as its findings are based purely on consumers’ previous buying patterns. Predictive analytics will additionally help organizations make informed decisions by offering them valuable data on:
- The type of persons who will be most interested in their offerings,
What products they are likely to buy
When they will make purchases
Their buying motive
The amount of money they are likely to spend etc
Predictive analytics will not only help companies understand consumer behavior, but also enables them to harness this data into a strategic, comprehensive plan as a way to boost their bottom lines. Predictive analytics has now attained the position of being the new differentiator for businesses.
Applications of predictive analytics in organizations.
Predictive analytics can optimize business functions across marketing, sales and beyond. Let us go through some of the major areas where organizations make use of predictive analytics extensively.
Marketing
Predictive analytics helps marketers determine customer behavior and purchase patterns. It provides companies with the ability to attract and retain the most fruitful customers and ensure success in their marketing campaigns.
An analysis by McKinsey & Company has revealed that using data to make better marketing decisions can increase marketing productivity by 15- 20%. Predictive analytics will help companies to gauge whether customers have a favorable dispensation towards their product offering and who likes what and in what quantity etc. Companies can then target their marketing campaigns to such specific customers only and avoid all forms of financial wastage.
Cyber Security
Predictive analytics is able to discern patterns in behavior and if someone is behaving in a manner that is different from his usual self, predictive analytics is able to discover such behavioral changes. And organizations can then take a deeper look into it and take preventive measures if there is any likelihood of potential threats emerging. Fraud is detected long before it even occurs.
Inventory management
Predictive analytics will help managements make better informed decisions while managing their inventory. Relying on predictive analytics in their decision making processes, hotels can make a better guess on the probable number of guests that are likely to turn up on any given night and adjust their room rates accordingly.
Improving internal processes
Through data analysis, business operators can get a clearer view of what the organization is doing efficiently and also inefficiently within their organizations. And, when a problem is identified, analysts can determine the cause of the problem, where it actually originated, how to solve the issue, the likelihood of its happening again and suggest preventive measures to eliminate its future occurrence.
