Build a clearer view of customer groups, needs, and behavioral patterns.
Make the important
customer moments count.
Give your teams the context to shape customer journeys with more relevance, consistency, and purpose.
Find your use caseMake customer experiences more relevant using the context available to your team.
Identify useful next steps across journeys, channels, and customer touchpoints.
Connect audience insight to the campaigns and interactions your teams manage.
Help product teams understand where customers need guidance or a better path.
Explore early signals and design thoughtful responses that support lasting relationships.
Turn your goal into
a practical plan.
Train a supervised model on your own historical outcomes, then estimate conversion likelihood from four behavioral features. The model must be trained by the site administrator before predictions are available.
Next-best-action planner
Choose a business objective and enter baseline assumptions to get an explainable planning suggestion.
Define a measurable control group, test one relevant action, and compare outcomes before rolling it out.
- Baseline outcomes: 300
- Illustrative additional outcomes: 30
Audience segment rule builder
Create a simple rule definition you can share with your analytics or CRM team.
Engagement = high AND intent = high AND last active within 7 days.
Conversion propensity predictor
Uses a server-side logistic-regression model trained on your labelled CSV data. Predictions are disabled until the administrator trains a model.
Enter features and run the predictor. If no model has been trained, ask the site administrator to open Vidora Site → ML Engine and upload labelled historical data.
Designed around
your next decision.
Every team has different data, workflows, and customer goals. Start with the challenge you want to solve and shape a practical path forward.
Talk through your goals