Lead scoring is a methodology for ranking potential customers by their likelihood to book a move. Moving companies assign point values to lead attributes — move date timeline, home size, distance, lead source, and engagement behavior — so reps spend time on the highest-probability opportunities first instead of treating every inquiry the same.
Purpose
Prioritize high-intent leads
Scoring types
Behavioral + demographic
Key factors for movers
Move date, size, distance, budget
Hot lead threshold
Typically 70+ out of 100
Conversion rate impact
20-30% improvement
Without lead scoring, every inquiry gets the same attention — which means your reps spend as much time chasing a single-bedroom local move with a vague timeline as they do chasing a 4-bedroom long-distance move happening in two weeks. That misallocation of effort directly costs bookings.
Lead scoring solves this by surfacing which leads are most likely to convert, so reps call the right people first, follow up most aggressively with hot leads, and let automated sequences handle low-priority nurture. Companies that implement scoring see 20-30% improvement in close rates — not from better leads, but from better prioritization of the same lead volume.
For moving companies specifically
Move date urgency is the strongest predictor of close rate. A customer moving in 10 days will book quickly or not at all. A customer moving in 4 months is still shopping and comparing. Your scoring model should weight time-to-move heavily to reflect this reality.
The following five scoring categories cover the factors with the strongest correlation to booking likelihood. Each category includes specific point values you can use as a starting template.
Move Timeline
Move Size & Value
Distance
Lead Source & Quality
Behavioral Engagement
Once leads are scored, each tier needs a defined follow-up protocol. Consistency here is what separates teams with 45% close rates from those stuck at 22%.
Immediate personal outreach. Call within 5 minutes. Follow up daily until decision.
Structured follow-up sequence: day 1, day 3, day 7, day 14. Estimate sent within 24h of contact.
Automated nurture sequence. Re-engage 30 days before stated move date.
Disqualify or archive. Not worth active rep time.
Lead scoring models use two types of signals. Demographic (or firmographic) scoring is based on static attributes of the lead — home size, move distance, origin/destination. Behavioral scoring tracks how the lead interacts with your communications — did they open your estimate email, call you back, visit your website multiple times?
Demographic Scoring
Based on facts about the move and customer. Stable — doesn't change once captured.
Behavioral Scoring
Based on how the lead acts. Dynamic — score updates as engagement changes.
1. Define your criteria
List all the factors you believe predict booking likelihood. Start with the five categories above.
2. Assign point values
Weight factors by their predictive importance. Move timeline is typically the heaviest factor for moving companies.
3. Set tier thresholds
Decide your hot/warm/cool cutoffs. 70/40/20 is a solid starting point for most moving operations.
4. Configure in your CRM
A CRM like DriveSales scores leads automatically as data is entered. No manual calculation needed.
5. Calibrate against outcomes
After 90 days, compare predicted scores against actual bookings. Adjust weights where predictions were off.
Manual scoring doesn't scale. When 30 leads come in on a busy Monday, no one has time to evaluate each one and assign points. CRM software applies your scoring rules automatically as lead data is captured, so every lead has a score the moment it enters your pipeline.
DriveSales scores leads automatically based on move details, source, and engagement tracking. When a lead opens your estimate email or calls back, their score updates in real time — triggering rep alerts so your team knows exactly which leads are heating up and need immediate attention.
20-30%
Typical conversion rate improvement from implementing lead scoring. Most gains come from reps calling hot leads faster, not from generating more leads.
Start simple
A 3-tier model (hot/warm/cold) based on move date and home size alone outperforms treating all leads equally. Refinement comes later — implementation comes first.
Common questions from moving company owners building their first scoring model.
DriveSales automatically scores incoming leads based on move details, timeline, and engagement — your team focuses on the hottest opportunities.