XaiPient's AI predictive engine learns from your historical marketing/sales data, and predicts your best leads, and identifies the most effective touches.
Our deep-learning AI will find your most sales-ready leads, no need for complex scoring rules, or months of ML development work. Our AI engine is flexible, requires no tedious feature-engineering, and is powered by our research over the past few years.
XaiPient’s Explainability engine makes predictions transparent, showing which touchpoints are most effective in driving outcomes, so you can optimally allocate your budget and boost ROI.
XaiPient's engine pushes scores, recommendations and insights into your marketing platform so that you can seamlessly integrate them into your workflow.
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Once you install our app from the HubSpot App Marketplace, it pulls in your historical data, builds a model, and in a day or two you will receive a link to a detailed dashboard of scores, attributions and insights. Key predicive scores are pushed back into your HubSpot so you can use them to filter or rank your prospects within HubSpot. Support for other MarTech platforms is on our roadmap.
The starting point is your historical data, consisting of marketing/sales events at the entity level you care about (i.e., account, company, contact, etc), in your cloud data warehouse, e.g. BigQuery, AWS, etc. You can optionally de-identify or anonymize your data before sharing with us. You will also need to tell us the outcome you want to predict, e.g. Opportunity, Closed Won, etc.
We audit your data, adjust our AI to suit your needs, and launch a process to tune the AI to find the most accurate and robust model.
We set up a periodic (hourly, daily, etc) process to augment your data with predictions and attributions. You can then use these predictions in your own platform, or use our dashboard to see detailed scores and insights. XaiPient can also push scores back into your platform.