Predictive Models

ML models for a variety of predictive scores ranging from purchase propensity, churn propensity and more

The scores can be used for sharper targeting of customers, leading to improved response and lift.

 

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Top Features of Predictive Modeling Software

Predictive models in SOLUS span purchase propensity, churn propensity, propensity to buy a specific product, propensity to transact during and event or festival

Out-Of-The-Box Propensity Models

Marketers benefit from our predictive scores: buy, churn, win back, product category, timing analysis, and more.

Multiple machine learning techniques used including gradient boosting, random forest and other model ensembles

Machine Learning Techniques

Our R&D team continuously supervises and enhances machine learning models/ensembles for constant improvement.

Model statistics include gain curves, accuracy, feature importance and profiling

Scores, Gain
Curves

Gain charts, conversion tracking across deciles, and tips for optimizing targeting based on propensity scores are available.

Propensity scores directly usable for segmentation or campaigns

Plug Into Segment And Campaigns

Propensity scores as a variable in customer one-view, pre-created segments based on scores for targeting.

Out-Of-The-Box Propensity Models

Our Predictive scores cover the most-used needs of Marketers. We cover the propensity to buy in the next 7 / 15 / 30 days, the propensity to churn, the propensity to be won back and more. The propensity to buy, for instance, can be extended to the propensity to buy a particular product category or to buy at a certain time of year.

Predictive models in SOLUS span purchase propensity, churn propensity, propensity to buy a specific product, propensity to transact during and event or festival
Multiple machine learning techniques used including gradient boosting, random forest and other model ensembles

Machine Learning Techniques

The underlying models are essentially machine learning models/ ensembles. These underlying algorithms are constantly supervised and improved by our R&D team.

Scores, Gain Curves

Along with the models comes instant access to gain charts, and tracking of how conversions vary across deciles. In addition, we also provide tips such as the impact of changing the depth of the file targeted basis the propensity scores.

Model statistics include gain curves, accuracy, feature importance and profiling
Propensity scores directly usable for segmentation or campaigns

Plug Into Segments And Campaigns

Propensity scores are directly available as a variable in customer one-view, in addition, pre-created segments based on propensity scores are also available for targeting.

A Few Of Our Clients

Book a Demo to get a deep dive into how SOLUS AI can help

  E-301, 3rd Floor, Lotus Corporate Park, Off Western Express Highway, Jay Coach Area, Laxmi Nagar, Goregaon (E), Mumbai – 400063.

  slath@solus.ai

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