Understanding Lead Scoring
How QuoteShield AI helps you focus on the leads that matter most.
Hot
— High-value, ready-to-go leadThe customer has given a clear description, uploaded photos, and the job matches your services and service area. This person is likely ready to get a quote and move ahead quickly.
What to do: Contact them as soon as possible — these leads convert fast.
Warm
— Decent lead, might need follow-upThe job looks genuine but something is incomplete — maybe the description is vague, photos are missing, or the location is on the edge of your service area. Still worth pursuing.
What to do: Follow up within 24 hours. Ask a clarifying question to fill in the gaps.
Cold
— Low priority or possibly not genuineSomething does not add up — the description is very short or generic, the photos do not match the job, the contact details look suspicious, or the job is outside your area. Could be tyre-kickers or spam.
What to do: Check when you have time. Do not waste your best hours on these.
How the AI works
When a customer submits a job request through your widget, QuoteShield AI looks at several things:
- Job description — is it detailed and specific, or vague and generic?
- Photos — do they match the described job? Are they stock photos or real?
- Contact details — does the email and phone look legitimate?
- Location — is the job in your service area?
- Job type — does it match the services you offer?
- Estimated value — based on the job description and your trade, what is the likely value?
The AI combines all of these signals to give each lead a score. It gets smarter over time as it learns what good leads look like for your specific trade.
Your customers never see scores
Lead scores are 100% private. Only you see them in your dashboard. Your customers see a simple “Thanks, we have received your request” message after submitting — nothing about scores, AI analysis, or priority levels.
Every customer gets treated the same from their point of view. The scoring just helps you decide who to call first.