What is AI lead scoring?

AI lead scoring is a machine learning model that predicts how likely a lead is to close based on patterns in your historical CRM data. Each lead gets a 0-100 score. Unlike rule-based scoring (where you manually set point values), the model learns weighting automatically from your real wins and losses.

How is predictive scoring different from rule-based scoring?

Rule-based scoring uses weights you set manually: +10 for a demo, +5 for a reply, -20 if cold-source. Predictive scoring learns weights from your data: it might discover that demo attendance matters twice as much as you thought and source quality matters half as much. Both have a place. We ship both.

Will my data train a model used by other Juicy Goosey customers?

No. Each customer gets their own model trained only on their data. We do not combine data across customers or ship a global model. Your win patterns are yours.

Is AI lead scoring an add-on or included?

Included. No enterprise tier, no add-on fee, no per-seat upgrade. Every plan gets predictive scoring once you have enough win history, and the rule-based fallback before that.

Feature: AI Lead Scoring

AI Lead Scoring That Shows Its Work

Juicy Goosey AI lead scoring trains a predictive model on your real win and loss history. Each lead gets a 0-100 score with a plain-English explanation of which signals matched. Update the model in one click as you close more deals. Falls back to a sensible rule-based score before you have enough win history.

How It Works What Makes It Different

How It Works

Five steps. No black box.

Step	What Happens
1. Connect data	We use your existing CRM contacts, deals, sources, activities.
2. Train	Model learns from your closed-won and closed-lost history.
3. Score	Every new lead and stale lead gets a score within minutes.
4. Explain	Each score expands to show "why this score."
5. Retrain	Click to refresh weekly, monthly or on-demand as you close more deals.

What Makes Our Scoring Different

Six anti-black-box design choices. Sales trusts what it can see.

Trained On YOUR Data

Not a generic industry template. Your actual won deals drive the weights.

Plain-English Explanations

"Matched 7 of 10 patterns: organic source, replied within 24h, attended demo, US time zone, mid-market title, answered budget question, 5-plus touchpoints."

Cold Start Handled

First 90 days you get a rule-based score using sensible defaults, then it transitions to predictive once you have enough wins.

Visible Feature Importance

See exactly which signals weigh most in your model: source > activity > demographics, etc.

Score Decay

Stale leads drop in score automatically, so the watchlist stays fresh.

Retrain When You Want

Manual or scheduled, with version history so you can roll back.

What The Score Drives

A score that never gets used is dead weight. Ours wires into five workflows by default.

Lead Routing

High scores route to your senior closer, low scores to nurture sequence.

Pipeline Sorting

Default sort by score so the next call is always the best call.

Notification Filters

Only Slack-alert deals above score threshold.

Sequence Selection

Different cadence for hot vs cold leads.

At-Risk Watchlist

High score, no recent activity, surfaces for follow-up.

What We Won't Do

Show you a score with no explanation. Every number comes with the receipts.
Score a lead without enough data and pretend confidence. Thin histories return a flagged "low confidence" score, not a guess.
Lock the model behind an enterprise add-on tier. Included in every plan.
Train a global model on your customer data. Each customer gets their own model.

Versus Other AI Lead Scoring Tools

Category standard is black-box and paywalled. We ship it explainable and included.

Tool	Trained On Your Data	Explanations	Included In Plan	Cold Start Handling
Juicy Goosey	Yes	Plain-English	Yes	Rule-based fallback
HubSpot Predictive	Yes	Limited	Enterprise tier	Limited
Salesforce Einstein	Yes	Partial	Add-on	Limited
MadKudu	Yes	Yes	Standalone product	Requires history
6sense	Partial (intent data)	Limited	Enterprise	n/a
Pipedrive AI	Limited	Limited	Yes	Weak

Cold Start: What Happens When You Are New

If you have fewer than ~50 closed-won deals, the predictive model is not honest yet. Until then, we use a rule-based score with sensible defaults you can edit:

Source quality (organic > referral > paid > cold)
Engagement (replied, opened, attended)
Fit (title, company size, region)
Recency

Once you cross the threshold, the rule score swaps for the predictive one automatically.

For Teams With Multiple Pipelines

You can train separate models per pipeline (e.g., new business vs upsell vs partnership), so the score for an upsell is not muddied by new-business signals. Each model has its own feature importance and retraining schedule.

Frequently Asked Questions

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Score Your Leads With AI.

14-day free trial. Predictive scoring kicks in once you have the wins. Rule-based fallback from day one.

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