Products or Services Add-on Model
Charged with driving revenue growth through the adoption and expansion of products and services across your customer base? Working on improving customer retention, satisfaction, and profitability? This model is your powerful ally!
This model is applicable for a range of 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
Identify customers most likely to sign up for new products and services. Target this high-probability segment with bundled offerings, temporary discounts, and reward incentives. This strategy results in a significant revenue boost, increased product adoption, and stronger customer loyalty.
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.