We built the predictive scoring engine, so that you don't have to. Learn more about the different steps that MadKudu takes to build predictive lead scoring. You can then use the predictions to unlock revenue in any channel.
We prepare customer data profiles by making sense of your raw data from various connected sources.
Import raw data from your multiple data sources connected to MadKudu, which includes customer relationship management (CRM) platforms, customer data platforms (CDP), marketing automation platforms (MAP) and product and web analytic tools.
Resolve identity of records in different data sources and link them to a primary record with individual lead and account entity.
Map raw data to standard MadKudu activity and traits.
Enrich your data with the best in-class third party data on demographic, firmographic and technographic traits.
Build computations on top of your individual activities or traits.
We build a model to predict the fit and likelihood of conversion of your leads or accounts.
We push the MadKudu scores and signals to your platform of choice, and prepare automated workflows based on the scores.
Set up sync to the platform
Build routing workflows
Track how well the predictive scoring model is contributing to bottom-line pipeline generated for the business