Predictive Modelling
FLYDE’s predictive models integrate directly with your stack to add advanced Machine Learning capabilities to predict churn, calculate LTV, and identify growth opportunities.
The predictive intelligence layer on top of your current stack
FLYDE’s predictive models connect to your existing CDP, data warehouse, or CRM through preconfigured connectors. We offers a variety of predictive Machine Learning models already trained on millions of records that automatically adapt to your historical data, with no manual setup or technical expertise required.
This way, marketing and business teams can predict behavior and generate value in a matter of days.
Available Models
Churn prediction
Identify at-risk customers before they churn, so you can activate proactive retention strategies.
LTV Prediction
Estimate each customer’s 12-month expected value to allocate resources where they’ll have the greatest impact.
Lead to Customer
Identify high-conversion leads and prioritize sales efforts where they matter most.
Cross-sell
Identify customers most likely to buy complementary products to drive revenue expansion.
Upsell
Detect customers who are ready to acquire higher value options.
Next purchase
Detect early signals of intent to make a second and subsequent purchase.
The challenge
The problem is not the data. It’s not being able to see what’s coming.
Marketing and business teams face a frustrating reality: every day without predictive insights means money slipping through the cracks.
But building in-house ML models takes 6–12 months, requires a full data science team, and millions of euros in infrastructure. And even then, 87% of ML projects never make it to production.
The solution
FLYDE’s predictive models, designed to work seamlessly with your existing stack
Our ML models work from day one by following three simple steps:
1. Connect
We integrate with your data sources (CRM, CDP, data warehouse, etc.) using preconfigured connectors for fast setup.
2. Train
Models automatically adapt to your historical data, with no manual configuration or technical expertise required.
3. Predict
You receive scores and predictions for every customer, with built-in explainability.
Output: Each prediction includes:
- Score (0-100): Probability of the event
- Confidence: Model confidence level
- Top Factors: Key variables influencing the prediction
- Recommended Action: Suggested next best step
The impact of predictive modelling
Proactive strategies
Anticipate customer behavior and take action before risks or opportunities become visible.
Personalized experiences
Activate personalized messages and actions tailored to each customer’s probability of response.
Optimization of resources
Calculate the customer’s expected value over the next 12 months to allocate resources for maximum value.
Up to 30% increase in conversion of leads
Up to 25% reduction in churn (retail/e-commerce)
Lift vs. random
Ready to get started?
Spend 15 minutes with us and discover how much FLYDE can decomplicate your day-to-day life.