Looking for Salesforce Lead Scoring Alternatives?
Salesforce has tried predictive lead scoring 3 times. Each failed because sales couldn't explain the scores. We built what they couldn't.
The Problem
- • Einstein Lead Scoring bucketed leads into A/B/C/D with no explanation
- • Account Engagement (Pardot) costs $15K-$48K/year per user
- • Data Cloud is enterprise-only with complex consumption-based pricing
- • SFMC Einstein had the same black box problems
Salesforce pricing
$15,000-$48,000/year per user
kenbun pricing
Starting at $199/mo (founders price)
Save 95%+
Feature Comparison
| Feature | kenbun | Salesforce |
|---|---|---|
| Explainable scores | ||
| Rules-based scoring | ||
| ML-based scoring | ||
| Slack-native alerts | ||
| Real-time processing | ||
| Works with Sales Cloud | ||
| Setup time | Hours | Months |
| Starting price | $199/mo | $15K/yr |
Why teams choose kenbun over Salesforce native scoring
Built by a Salesforce Technical Architect who saw why Einstein failed from the inside
95%+ cost savings vs Account Engagement
Every score is explainable - no black box bucketing
Don't wait for Data Cloud - get real-time scoring today
What kenbun doesn't do
We don't offer ML-based predictive scoring. Salesforce Einstein tried this and failed because sales couldn't trust scores they couldn't explain. We focus on rules-based scoring where you control the logic and can explain any score in 30 seconds.
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