Repeat Caller Model
Do you want to understand why a customer keeps calling and how to boost your first call resolution rate and overall customer satisfaction? This model is designed precisely for that! It analyzes call patterns and identifies key issues, enabling you to enhance your response strategies and improve the overall customer experience effectively.
A call center must-have!
This model is designed to be used in any call center and for industries like Telecom, Streaming Media Services, Entertainment, Hospitality, Airlines, Retail, Banking, Health Insurance and more.
Full model price: $50,000
- $5,000 initial deposit
- $20,000 first payment (invoiced at data access)
- $25,000 final payment (invoiced at model delivery)
PRODUCT INFO
Use Case
Understanding the main repeat caller drivers, identify the frequent topics, common issues, process glitches and save on overall call center expense.
AI/ML Modeling
A range of algorithms will be tested for the best AUC/outcome like XGBoost/GBM, Neural Network, SVM, ANOVA, KNN, K-Means, etc.
LLMs and NLP techniques may also be used to enhance model performance.Model Delivery
One-time purchase:
- Propensity scores
- Customer ranking
- Leading model predictors
- Model performance
- Insight session
On-going monthly service additionally includes:
- Tracking leading predictors
- Model monitoring
- Seemless model refresh with market trend changes
- Strategy session every 3 months of service
- 10% discount on full model price
DELIVERY AND PAYMENT
We will contact you within 2 business days of your deposit to set the engagement date and provide instructions for the required data set.
The first model payment is invoiced at the data access date. Model delivery usually occurs 3-4 weeks from the data access date. The final model payment is invoiced at the model delivery date.
REFUND POLICY
Deposit fully refundable before engagement date.
If we cannot detect a pattern for a stable model, the final model invoice will be waived and we will provide you with data assessments, findings, insights and further recommendations.