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Driive Help Center

Lead Scoring and Qualification

Not every booking request is a good fit for your business. Lead scoring lets Driive automatically evaluate incoming leads based on their answers to booking questions, so you can focus your time on the jobs that matter most — and gracefully decline the ones that don't.


How lead scoring works

Lead scoring assigns a numeric score to each incoming booking based on the customer's answers. The score is compared against a threshold you set. If the score meets or exceeds the threshold, the lead qualifies and the booking proceeds. If it falls below, the lead is disqualified.

Here's the flow:

  1. A customer fills out your booking form and answers the booking questions.

  2. Driive evaluates each answer against the scoring rules you configured.

  3. Each answer contributes points based on its assigned weight.

  4. The total score is compared to the threshold.

  5. If the score meets the threshold, the booking request is created normally.

  6. If the score falls below the threshold, the customer sees a disqualification message.


Where to configure lead scoring

  1. Navigate to the Appointment Types page.

  2. Click the appointment type you want to configure.

  3. Open the Lead Scoring section.


Qualification types

Each scored answer is categorized into a qualification type that reflects what aspect of the lead it evaluates:

Qualification type

What it measures

Example

Urgency

How soon the customer needs the service

"When do you need this done?" — "This week" vs. "No rush"

Budget

Whether the customer's budget aligns with your pricing

"What's your approximate budget?" — "$5,000-10,000" vs. "Under $500"

Timeline

The customer's expected timeline for the project

"When are you planning to start?" — "Immediately" vs. "6+ months"

Scope

The size or complexity of the job

"Approximate square footage?" — "3,000+" vs. "Under 500"

Value

The estimated revenue or strategic value of the lead

"Is this a commercial or residential property?" — "Commercial" vs. "Residential"

You don't need to use all five types. Pick the ones that are relevant to how you evaluate leads for this specific service.


Weights

Each answer option on a scored question gets assigned a weight that determines how much it influences the total score:

Weight

Effect

When to use

Auto-qualify

Immediately qualifies the lead regardless of other answers

The answer signals a clearly ideal customer

High

Adds significant points to the score

The answer is a strong positive signal

Medium

Adds moderate points to the score

The answer is a moderate positive signal

Low

Adds minimal points to the score

The answer is a slight positive signal

Auto-disqualify

Immediately disqualifies the lead regardless of other answers

The answer signals a clear mismatch (e.g., outside your service area)

Setting weights on answer options

  1. In the Lead Scoring section, you'll see your booking questions listed.

  2. For each question you want to score, expand it to see the answer options.

  3. Assign a weight to each answer option.

  4. Not every question needs to be scored — leave questions unscored if they're just for information gathering.


Threshold

The threshold is the minimum total score a lead must reach to qualify. Set it based on how selective you want to be:

  • Lower threshold — More leads qualify. Good if you want volume and don't mind some lower-quality leads.

  • Higher threshold — Fewer leads qualify. Good if your team is busy and you want to focus on high-value jobs.

Finding the right threshold

Start with a moderate threshold and adjust based on results:

  1. Turn on lead scoring with a moderate threshold.

  2. Review the leads that come through over the next week or two.

  3. If too many low-quality leads are getting through, raise the threshold.

  4. If you're turning away leads that are actually good fits, lower it.


Disqualification flow

When a lead's score falls below the threshold (or an answer triggers auto-disqualify), the customer sees a disqualification message instead of proceeding to schedule.

The disqualification message:

  • Thanks the customer for their interest.

  • Explains that the service may not be the right fit at this time.

  • Provides a reason based on the qualification type that triggered the disqualification (if applicable).

  • Can include a suggestion to contact you directly if they believe there's been a mistake.

Example: A landscaping company uses auto-disqualify on the answer "Commercial property over 5 acres" because they only serve residential properties. The customer sees: "Based on your answers, our residential landscaping services may not be the best fit for your project. For commercial properties, we recommend contacting [partner company]."


How scores are calculated

Here's a simplified example for a "Roof Inspection" appointment type:

Questions and weights:

Question

Answer

Weight

Points

When do you need this done?

This week

High

30

This month

Medium

20

No rush

Low

10

Approximate roof size?

Over 3,000 sqft

High

30

1,000-3,000 sqft

Medium

20

Under 1,000 sqft

Low

10

Type of work needed?

Full replacement

High

30

Repair

Medium

20

Just inspection

Low

10

Threshold: 50 points

A customer who answers "This week" (30) + "Over 3,000 sqft" (30) + "Full replacement" (30) scores 90 — well above the threshold. A customer who answers "No rush" (10) + "Under 1,000 sqft" (10) + "Just inspection" (10) scores 30 — below the threshold.


Tips for effective lead scoring

  • Score the questions that matter most. Not every booking question needs a score. Only score the ones that genuinely help you evaluate fit.

  • Use auto-disqualify sparingly. Reserve it for absolute deal-breakers (e.g., outside your service area, service you don't offer).

  • Review and adjust. Lead scoring works best when you iterate. Check disqualified leads periodically to make sure you're not missing good customers.

  • Combine with booking questions thoughtfully. Design your questions with scoring in mind. Select-type questions with clear, distinct options score more reliably than free-text fields.


Next steps