Selling is tough.
But prioritizing promising leads is tougher.
What if you could instantly tell?
- Which prospects are likely to transact on the cloud marketplace?
- Which cloud service provider is the best fit for a co-sell?
- If you’re spending time on the right prospects?
That’s exactly why we built Labra Propensity Scores—to help answer the everyday sales question:
“Out of all these leads, who’s actually going to buy?”
Propensity Scores: Prioritize the Right Leads
Propensity Scores are your sales shortcut. It gives each prospect a score – High, Medium, Low, or Unknown — telling you how likely they are to convert.
It’s like having a little advisor whisper in your ear:
“Hey, this company looks really promising. You should probably give them a call before lunch.”
But it’s not guesswork. It’s built on machine learning that adapts to your sales motion and use case—analyzing real signals from across your ecosystem.
We factor in:
- Past deal outcomes from your CRM
- What tech stack a company uses
- Their cloud spend
- Whether they’re already active in AWS/Azure/GCP marketplaces
We even check if they’re aligned with cloud providers like AWS, GCP, or Microsoft Azure. So, if you’re planning a co-sell, you know who’s a good bet.
How does this work?
You can calculate Propensity Scores in 3 simple steps:
Just drop a domain name in Labra. Want to do more? Use the bulk upload to score 500 at once.
We crunch the data, pull in firmographic and technographic info, analyze past deals, and generate scores.
Your lead list is now ranked by actual buying potential.
Already live in Salesforce? We’ve got you covered.
Score leads directly from your CRM—no extra steps, no exports, no spreadsheets.
Close More, Waste Less Time
Propensity Scores help your team:
- Focus on the most promising leads
- Plan co-sells with the right providers
- Accelerate deals by acting on the right data
Stop guessing. Start prioritizing.
