Market analysis
AI is a great ally in market evaluation, facilitating tasks such as predictive analysis, customer relationship management and generation of valuable content.
Lead scoring
Machine-learning tools can be used to explore hundreds of factors within customer data that allow potential prospects to be evaluated and ranked.
Smart segmentation
Much broader segmentation of data is sought that allow a more precise approximation to the real needs and tastes of potential customers.
Content personalization
The 1:1 personalization of content that correctly matches customers or prospects is an activity that is more easily done with AI based on historical or real-time information.
Next best offer
Machine learning is ideal for offers optimization; customers who might be interested in the offers can be determined by segments.
Next best action
Finding the set of actions for an individual that will take them to the next step is an ideal use case for AI models using data and patterns within data based on a customer’s past actions.
Customer knowledge
Based on the information available from customers and using AI models, it is possible to predict customer behavior and therefore their habits, which will be very useful in the design of marketing campaigns.
Customer / employees retention
AI models are used to predict customer or employee churn.
Personalized rate management
Particular behaviors of clients can be detected that allow the generation of specific groups for which personalized rates are given depending on the risk that their behaviors represent.
Personalized products / services bundling
Models to determine the appropriate products / services and prices per customer based on their behavior and historical data.
Claims management
Being able to qualify and streamline claim processes by finding out-of-the-ordinary behaviors that could have risks.
Customer behavior analysis
Based on intelligent segmentation, it is possible to identify behavioral signs of people and then design strategies that delight those customers.
Propensity to buy
Based on propensity models and scores, customers and prospects with a high probability of purchasing a product/service can be identified.
Direct mail marketing
Information can be obtained from a data source, which allows to determine an accurate customer profile and the creation of direct mailings.
Account opening / card issuing
Models that allow predicting behaviors, risk assessment, identity confirmation, etc. to generate campaigns.
Credit scoring
Predictive models allow, on large amounts of customer data, to generate scores that qualify the credit behavior of a customer or prospect.
Buy now, pay later
By using AI models and historical data, find customers with excellent credit history to whom to offer these types of promotions.
