Targeting Analysis and Prediction
One of the most common problems in the marketing process is considered that you are well aware of your target audience. If you set up a marketing strategy based on misguided target information, you will not only be able to expect sales improvement but also lead to customer churn. We can predict future purchasing patterns of specific customers more efficiently with a trained artificial intelligence model.
Artificial intelligence predicts purchasing patterns, with demographic profiling, such as region, gender, and age, as well as propensity and concern. Predictive targeting AI targets customers who purchase similar and related products. Targeting that reflects your interests not only improves brand awareness but also secures potential customers.
Main function
1. Targeting analysis and prediction
- Efficient targeting analysis
- Predicting future purchasing patterns of specific customers
- Analysis of correlation between factors such as propensity and interests and purchase rate
2. Data Security System
- Thorough data security through security processing
3. Providing various services
- Interlocking between apps, web and programs is possible by providing various programming languages
API Summary
| Data | Data type | Content | Use mode |
|---|---|---|---|
| Input data | CSV | Customer data(Region, gender, age, disposition, interests, etc.) | API |
| Output data | CSV | Predict whether a specific customer will purchase a product | API |
Application procedure
| Payment | Subscription method | Attached file upon application |
|---|---|---|
| Prepaid charge | Online | Customer data required for model creation |
| Application procedure |
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