Used For

• +**Your customer success team reactively calls people after they've already canceled** → Get a list of who's likely to churn next month so you can save them first
• +**You're manually scoring 1,000 leads in spreadsheets every week** → Upload your data once, get automatic conversion probability scores for every new lead
• +**Your fraud detection is flagging grandmas buying groceries** → Build models that catch actual fraud without annoying real customers
• +One-click web apps for predictions - skip the whole 'build an interface' nightmare
• +Auto-monitoring tells you when your model stops working instead of you finding out the hard way

Best For

• >Your marketing team keeps guessing which leads will convert and they're wrong 70% of the time
• >You're losing customers but have no clue who's about to leave until they're already gone
• >Your sales forecasts are basically dart throws and your CEO is getting impatient

Not For

• -Solo founders or tiny teams - the real value kicks in when multiple people need to share predictions
• -Companies with data scientists already on payroll - they'll want more control than drag-and-drop allows
• -Anyone expecting perfect accuracy out of the box - garbage data in still means garbage predictions out

Pairs With

• *Salesforce (where your customer data lives and where predictions get applied to actual deals)
• *Zapier (to automatically email customers when churn risk hits 80% instead of checking manually)
• *HubSpot (to score leads automatically and trigger follow-up sequences for hot prospects)
• *Airtable (for teams who keep their data in fancy spreadsheets instead of proper databases)
• *PowerBI (to make executive dashboards with your predictions because charts make everyone happy)
• *Slack (where your team gets pinged when models detect something worth acting on)

The Catch

• !No pricing info anywhere, which usually means 'call for enterprise quote' territory
• !You're still limited by your data quality - it can't magically fix incomplete or biased datasets
• !Works great for standard predictions but custom AI models will need actual code

Bottom Line

Turns anyone into a fortune teller with CSV files and zero coding skills.