AI lead scoring software for pay-per-lead agencies
Every lead scored 0-100 in under one second using a machine learning model trained on your campaign's conversion data. Built into the routing engine, included on every plan.
Built for the lead scoring problem PPL agencies actually have
Sub-one-second inference
The full scoring pipeline (validation, consent verification, ML evaluation) runs in under 1000ms so the lead can be routed in the same sub-second window.
Holistic ML evaluation
The model scores the full submission across contact quality, intent, behavioral signals, source quality, and vertical patterns simultaneously, not field-by-field.
Per-buyer score thresholds
Set a 75 threshold for your premium buyer and a 45 threshold for your volume buyer on the same lead inventory. Bad leads never reach a buyer.
Continuous learning
The model retrains on your conversion outcomes (acceptance, contact rate, chargebacks) so accuracy improves as your campaign history grows.
How Lead Distro AI works
How Lead Distro AI grades every lead
AI scores each lead the moment it lands, no matter where it came from, so your best leads command your best prices.
AI QUALITY SCORING
Score every lead the second it lands
A machine learning model grades each lead 0 to 100 on real quality signals in under a second. Premium, standard, and low-quality leads sort themselves into clear tiers before anyone acts on them.
Lead Scoring
AI gradedANY SOURCE
Works on leads from every source
Connect paid social, paid search, native, web forms, and partner feeds, and the same model scores all of them. You get one consistent quality grade across your whole mix, with no extra setup per source.
Sources
Active 6PRICED ON QUALITY
Turn high scores into higher prices
High-scoring leads command higher live bids and premium pricing, while lower tiers still find the right buyer at the right rate. Quality drives revenue automatically instead of every lead clearing at one flat price.
Live Auction
Lead #8842Everything in your AI lead scoring toolkit
A scoring stack tuned for sub-second PPL distribution, not multi-month B2B SaaS funnels.
ML-powered scoring engine
An AI-driven scoring model evaluates every lead 0-100 in real time. Generic machine learning powers the inference; no vendor-specific stack to install or maintain.
Validation and consent layer
Format checks on phone, email, and address run first, plus TrustedForm and Jornaya consent token verification. Validation runs before the score so junk never reaches the model.
Signal-level explainability
The lead detail view shows the score, score band, and contributing signal weights (source quality, intent, consent verified). Scores are auditable for buyer disputes.
Per-campaign threshold rules
Configure thresholds per campaign, per buyer, or per routing branch. Run scoring on every lead, skip it entirely, or run in observe-only mode that logs scores without enforcing thresholds.
REST API and webhooks
Pull scores via REST API for BI dashboards, or subscribe to a webhook that fires on every scored lead. Push scores into HubSpot or Salesforce CRM fields for downstream attribution.
Full audit log per score
Every score, signal weight, threshold check, and routing decision logs to a per-lead audit trail for dispute resolution, source optimization, and model performance review.
Continuous retraining loop
Conversion outcomes (buyer accepts, contact rate, chargebacks) feed the retraining loop so model accuracy improves with your campaign history. New campaigns inherit a cross-campaign baseline.
See it run on your stack
Book a 20-minute demo or start free with no credit card. 7 days of full access, then 25 leads a month free forever.
AI lead scoring by vertical
Same scoring engine, different signal weights across legal, insurance, mortgage, solar, and home services.
Legal and PI
Score on accident-plausibility signals, claimant-verification indicators, and prior-representation flags. Route 80+ scores to top-paying firms ($200 to $400 buyers), 50 to 79 to mid-tier, below 50 reject.
Insurance
Score on coverage consistency, licensed-state match, and intent verification. Critical during ACA OEP and Medicare AEP, where eligibility windows are enforced at the score layer.
Mortgage
Score on LTV plausibility, income-to-loan consistency, and recency of intent. Pairs with sub-500ms delivery for top mortgage buyer expectations.
Solar
Score on roof-suitability proxies, utility-territory match, and intent signals. Route high-score leads to top-tier installers, fall back to volume buyers below the threshold.
Home services
Score on service-type clarity, geo accuracy, and timeline urgency. Quick wins for roofing, HVAC, and plumbing dispatch.
AI lead scoring vs. Salesforce, HubSpot, and rule-based scoring
Lead scoring is the quality gate between your inbound traffic and your buyer relationships. Get it right and chargebacks drop, buyer retention rises, and you can sort the same lead inventory into premium and volume tiers. Get it wrong (or skip it) and you ship bad leads, eat disputes, and lose buyers.
Most lead scoring software was built for B2B SaaS funnels. HubSpot Predictive Lead Scoring and Salesforce Einstein analyze deal history across multi-month sales cycles. That model breaks for pay-per-lead operations, where the lead has to be scored and routed in under a second, the conversion event is a buyer accepting and contacting the lead, and the relevant signals are source quality, consent verification, and TCPA payload completeness rather than CRM engagement.
| Capability | Lead Distro AI | Salesforce Einstein | HubSpot Predictive | Rule-Based Scoring |
|---|---|---|---|---|
| Built for PPL distribution | Yes | No (B2B SaaS) | No (B2B SaaS) | Generic |
| Sub-second real-time scoring | Yes | Near real-time | Batch and event | Yes (no ML) |
| Holistic ML evaluation | Yes | Predictive ML | Predictive ML | No (static rules) |
| Native consent token verification | Yes | No | No | No |
| Per-buyer score thresholds | Yes | Limited | Workflow-based | Manual |
| Continuous retraining on PPL outcomes | Yes | Limited | Limited | No |
| Starting price | $299/mo | Sales Cloud plus add-on | ~$2,000/mo Ops Hub Ent | Bundled |
| Setup time | Zero (auto-runs) | 90+ days history needed | History needed | Hours to days |
Predictive lead scoring tools built for Salesforce lead scoring or HubSpot lead scoring workflows assume a long sales cycle and a CRM-engagement signal set. They are strong for B2B pipeline forecasting and weak for sub-second PPL distribution. The PPL equivalent of "conversion" is buyer acceptance and contact rate, which is exactly what the Lead Distro AI model is trained to predict. Lead intelligence signals, ML model confidence intervals, score bands, source quality weighting, fraud detection, and signal-level explainability all live in one platform, on one inference path, with sub-second latency end to end.
Features that pair with AI Lead Scoring
Scoring chains directly into routing, ping post, and automation workflows on the same platform.
Why Companies Switch
Don't take our word for it. Here's what companies say after switching.
Start distributing leads. Free for 7 days.
Every routing, ping-post, and call-tracking feature is included on every plan. Higher tiers add lead volume, seats, and destinations.
Lite
Billed monthly, cancel anytime
500 leads / moWhat counts as a lead?A lead is counted the moment it is successfully ingested into a campaign.Leads successfully ingested into a campaignCounted once, whatever a buyer decides later (accepted, rejected, or returned)Never countedDuplicates we catch and blockLeads that fail your validation or inbound filtersPings and pre-pings
The low-cost on-ramp for a single operator getting their first buyers live.
- 500 leads / mo
- 200 AI credits / mo
- 1 seat
- 4 destinations
- 2 campaigns
- MCP access
- Live Support
- Ping-post + smart routing
Starter
Billed monthly, cancel anytime
2,500 leads / moWhat counts as a lead?A lead is counted the moment it is successfully ingested into a campaign.Leads successfully ingested into a campaignCounted once, whatever a buyer decides later (accepted, rejected, or returned)Never countedDuplicates we catch and blockLeads that fail your validation or inbound filtersPings and pre-pings
The workhorse plan for agencies and media buyers running live campaigns.
- 2,500 leads / mo
- 500 AI credits / mo
- 5 seats
- 25 destinations
- 10 campaigns
- MCP access
- Live Support
- Custom domain + white-label
Growth
Billed monthly, cancel anytime
5,000 leads / moWhat counts as a lead?A lead is counted the moment it is successfully ingested into a campaign.Leads successfully ingested into a campaignCounted once, whatever a buyer decides later (accepted, rejected, or returned)Never countedDuplicates we catch and blockLeads that fail your validation or inbound filtersPings and pre-pings
Scale volume across every buyer and campaign as your book grows.
- 5,000 leads / mo
- 1,000 AI credits / mo
- 10+ seats
- Unlimited destinations
- Unlimited campaigns
- MCP access
- Live Support + weekly training
- Everything in Starter
Call tracking & routing
· billed as you use itAvailable on every tier. Numbers provision instantly from the dashboard, call recording included.
Talk with Our Team
See how Lead Distro AI fits your workflow. Pick a time and we'll walk you through it.
See it run on your stack
Book a 20-minute demo or start free with no credit card. 7 days of full access, then 25 leads a month free forever.
AI lead scoring FAQs
How is AI lead scoring software different from lead validation?
How fast does Lead Distro AI score a lead end to end?
Can I see why a lead scored the way it did?
Does the model improve over time?
Can I turn scoring off for specific campaigns?
Does it work with HubSpot or Salesforce lead scoring?
Is there an API for the score field?
What signals does the model evaluate?
Still have questions?
Book a 20-minute demo and we'll walk through your exact use case, or start free with no credit card and explore on your own.
Ready to score every lead in under a second?
Start free with no credit card, point a lead source at the campaign endpoint, and watch every lead score, route, and deliver automatically. No setup, no separate scoring stack.