Lead Scoring

Prioritise leads that are most likely to convert

Not all leads are equal. Some will convert quickly, others will never buy. Without a clear way to rank prospects, sales teams waste time on low-value leads while hot opportunities slip away. xplainable's lead scoring solution uses your historical data to predict which leads deserve immediate attention, and explains exactly why.

Lead Scores
LeadCompanyScoreStatus
SC
Sarah Chen
Acme Corp
92
Hot
JW
James Wilson
TechFlow
78
Warm
ML
Maria Lopez
DataSync
65
Warm
AP
Alex Park
CloudNine
41
Cold
RK
Rachel Kim
NovaTech
87
Hot
DN
David Nguyen
Meridian
53
Cold
EF
Emma Foster
BrightPath
71
Warm
TB
Tom Bradley
Apex Inc
34
Cold
Score Breakdown

Sarah Chen — Acme Corp

92
revenue_potential
+28%
engagement_score
+22%
company_size
+18%
email_opens
+15%
days_since_contact
-8%
industry_match
+12%
Conversion likelihood: High
⚠️Challenges

If you're experiencing...

Wasted Sales Effort

Your sales team spends hours chasing leads that never convert. Without clear prioritisation, reps work the wrong accounts while high-intent prospects go cold.

Inconsistent Lead Qualification

Different reps use different criteria to qualify leads. There's no standardised, data-driven approach, just gut feeling and guesswork.

Missed Revenue Opportunities

Hot leads slip through the cracks because nobody knows they're hot. By the time someone follows up, competitors have already won the deal.

No Visibility Into Lead Quality

Marketing generates leads, but nobody knows which campaigns produce buyers versus tire-kickers. Budget gets wasted on low-quality sources.

Black-Box Scoring Tools

Existing lead scoring tools give you a number but no explanation. Sales doesn't trust scores they can't understand or verify.

Solution

We can help!

xplainable's Lead Scoring solution analyses your CRM and marketing data to predict conversion probability for every lead before a rep picks up the phone. Unlike black-box alternatives, we show exactly which factors drive each score: company size, engagement patterns, industry fit, and more. Sales reps see why a lead is hot, so they can tailor their pitch. Marketing sees which sources deliver quality. Everyone works smarter.

Score and rank leads using your CRM + marketing signals
Explain why a lead is high priority with driver contributions
Share reports with sales leadership to align on scoring logic
No data science PhD required. BI analysts can build and maintain
Benefits

With xplainable you will have...

Prioritised Sales Focus

Instantly identify which leads deserve immediate attention. Reps spend time on prospects with genuine buying intent, not cold contacts.

Transparent Scoring Logic

See exactly why each lead scored high or low. Feature contributions show the specific factors like engagement, firmographics, and timing that matter.

Improved Conversion Rates

By focusing on high-probability leads, your team converts more deals with less effort. Watch close rates climb as quality improves.

Marketing Attribution

Track which campaigns and channels produce leads that actually convert. Optimise spend toward sources that deliver real pipeline.

Fast Time to Value

Deploy a working lead scoring model in days, not months. Auto-train on your historical data and start scoring immediately.

🚀Get Started

Ready to score smarter?

See how xplainable can help your sales team focus on the leads that matter most.