Obviously.ai integrates with Salesforce and runs lead scoring predictions directly on our CRM data

Lead scoring is one of those things that sales teams talk about wanting and rarely have working properly. The standard approach is a manually maintained point system that someone set up years ago and nobody has updated since because updating it requires data science resources that are never available.

Obviously.ai's Salesforce integration is what made it relevant for our specific situation. You connect it directly to your CRM, select the field you want to predict, closed-won probability or high-value lead likelihood or whatever makes sense for your data, and it builds and trains the model on your actual historical records rather than requiring an export step.

The Automated Model Selection means it tests multiple algorithms against your data and picks the most accurate one without you having to know which algorithm is appropriate. The Proactive Insights show which fields in your CRM data are driving the predictions, which is separately useful information for understanding what actually predicts good leads in your specific context.

The API Deployment is what makes it operational rather than just analytical. Predictions run in real time as new leads come in rather than being a batch analysis you run monthly. Our reps see a score on every new lead as it enters the system.

The no-code nature of the whole setup means sales operations can manage it rather than needing engineering involvement every time the model needs updating or the scoring criteria need to change.