Who, with what and when. Before you spend.
Predict Pack is FLYDE's machine learning models trained on your own data: ten models ready for every funnel stage, plus a visual interface in Core to build and train your own. Each prediction becomes an audience with one click.
Trained on your data · Automatic retraining · Explainable
Ten ready models, ordered by what you want to move
Each funnel stage has its own models, trained on your data and retrained automatically. Each score is another customer attribute: an audience in one click.
Which leads will become customers, to prioritize sales effort.
Who is ready to buy now, to focus investment where it pays off.
Propensity for complementary products to grow the ticket.
The right product or category for each customer, at each moment.
Each customer's value over the next twelve months.
The revenue each segment will bring, before it happens.
Behavioral profiles that explain who buys what and why.
Who will stop buying, with room to retain them before they leave.
Anticipates cancellations in subscription models: donors, policies, fees or memberships, with time to act first.
How much you'll sell by product, channel and area, to decide inventory and pricing.
The ten models feed a decision layer that combines them into a single answer per customer: what action to take, with which offer, on which channel and at what moment. Not ten loose scores: the next best action.
Predictions that explain themselves, not black boxes
A score without context convinces no one. Each FLYDE model comes with an analysis of its results, so the business trusts the prediction before acting on it.
Analysis reports
Each model generates reports with an analysis of its results and predictions, ready to share with the business and leadership.
Metrics visible in Core
ROC curve, AUC, MAPE: the performance of FLYDE's predefined models, always visible in FLYDE Core.
Explainability
Each score comes with its most influential variables: you know the why, not just the number.
Does your business need another model? Build it in Core
FLYDE CoreFLYDE doesn't stop at the catalog: in FLYDE Core you can build and train your own machine learning models with a visual interface, without writing code. You choose the data, the algorithm type (transformation, clustering or classification) and what you want to predict; the model trains on your data and deploys as just another platform score.
Visual interface, no code
From data to published model without depending on a data science team.
You choose the algorithm
Transformation, clustering or classification: the model type your case needs, trained and retrained on your data.
Deployed where you work
The score appears in Market as an audience, in the Customer 360 record and in Brain.
FLYDE Core · build your own model
FLYDE Core · Model BuilderPredictions are worth nothing if they aren't activated
Each score is another customer attribute in FLYDE: it becomes an audience criterion in Market, is consulted in the Customer 360 record and asked in Brain. And with incrementality analysis you measure whether acting on the predicted segment generated real lift against a control group.
ROI/ROAS growth
By investing on real propensity, not cold lists.
Retention & CLTV
Acting on churn risk before it becomes a cancellation.
Retraining
Models retrain with new data: they don't go stale.
Shall we start?
In 15 minutes we show you the ten models on a case from your industry, and how you'd build your own in Core.
Let's talk