GET IMMEDIATE SUPPORT TO OPTIMIZE CAMPAIGNS, INTEGRATE PREDICTIVE MODELING AND ANALYTICS TO EXPAND YOUR COMPETITIVE ADVANTAGE

KEY SUPPORT

OUR TEAM TAKES ON ANY OF YOUR DATA PREPARATION, MODELING, AND EFFECTIVENESS TASKS

DATA PREPARATION

It starts here, organizing data sources, structure, processing and purpose.

We help teams keep their data useful integrating sources and identifying how to better manage it for each business’ needs and objectives.

ANY OF YOUR DATA PREPARATION TASKS

APIs implementation to connect multiple apps for data collection
Data standardization
Marketing automation platforms data synchronization
Data extraction software set up to pull data from multiple sources
Data harmonization
Deploying multichannel campaigns data collection and synchronization
Data entry quality assurance
Data profiling
Integrate new real-time customers data
Data elimination
CRM data synchronization
Integration with R, Python

PREDICTIVE MODEL BUILDING

It is about pointing campaigns in the right direction of engagement.

We help teams set up and manage their ensemble modeling process, optimize in-database engines, and customize data visualization.

ANY OF YOUR PREDICTIVE MODEL BUILDING TASKS

Segmentation Models
Acquisition models
Model management and monitoring
Propensity Models
Cross-sell models
Forecast Model
Recommendations Filtering
Up-sell models
Outliers Model
Model validation and testing
Customer behavior models: Lifetime value, messages, risk
Time Series Model

MODEL EFFECTIVENESS

Each possible outcome of a particular experiment is unique.

We help teams with model performance assessments, comparison tools, and model rebuilding to stay competitive in the market, build better products and have more meaningful engagement.

ANY OF YOUR MODEL EFFECTIVENESS TASKS

Models results interpretation
Campaigns impact assessment based on probability and profitability
Model testing and updating: Seasonal, activity based, measurement based
Success Criteria for Estimation
Projected revenue per campaign
Model retraining: New purposes, new historical data
Predictive model performance comparison against random results with lift charts and decile tables
Feedback loop for models refinement
Model features selection review
Predictive model consistency testing with bootstrap sampling
Over-fitting and under-fitting model consistency adjustments
Algorithms parameters value optimization

WE PAY IMMEDIATE ATTENTION TO INTEGRATE AND OPTIMIZE DATA AND TOOLS THAT GIVE INSIGHTS AND POINT US IN THE RIGHT DIRECTION

You guys rock - Appreciate all the fast turnarounds!

Marketing Field Manager