Lead qualification is deciding, by written rules, which enquiries deserve sales time. Lead scoring turns the rules into a number. Speed to lead, how fast someone makes contact, matters too: in a Harvard Business Review study, firms that tried within an hour were nearly seven times as likely to qualify a lead as firms that tried an hour later.
This guide is the operating manual behind our lead generation agency work. It covers how to define a qualified lead with your sales team, build a score from your own CRM history, measure response time, and send the results back to Google Ads, LinkedIn and Meta so they buy more of the leads that close.
What is lead qualification?
Lead qualification is the step between an enquiry arriving and a salesperson investing real time in it. Every lead should end up in one of three states:
- Qualified: meets every rule you set, and is worth a proper sales conversation now.
- Not yet: a fit, but not ready, usually because of timing. These go to nurturing, not the bin.
- Disqualified: wrong service, wrong area, too small, or not a buyer at all.
You will also hear MQL and SQL. A marketing qualified lead (MQL) has passed marketing's rules on fit and engagement. A sales qualified lead (SQL) has been accepted by a salesperson after contact. For ad optimisation the SQL is the one that counts, because it is a judgement made by someone who actually spoke to the lead.
How do you qualify a lead?
Write the rules down with your sales team, then test them at the cheapest point: on the form where you can, and on the first call where you can't. The classic checklist is BANT: budget, authority, need and timing. For most Australian service and B2B businesses, five questions do the work:
| Question | Where to ask it | Disqualifies when |
|---|---|---|
| What do you need? | Form (dropdown) | It is a service you don't sell |
| Where are you? | Form (postcode) | Outside your service area |
| How big is the job or budget? | Form (ranges) | Below your minimum job size |
| Who decides? | First call | No decision maker, and no way to reach one |
| When do you need it? | Form or first call | Outside your sales cycle (move to nurturing) |
A template to adapt, not a standard. Set the thresholds with your sales team.
Every question you add to a form costs some completions, so ask only what changes what you do next. On paid campaigns the trade is often worth it: fewer leads with a higher qualified share can cost less per customer, as the worked example in our cost per lead guide shows.
What is lead scoring?
Lead scoring gives each lead a number that estimates how likely it is to become a customer, so sales can work the best ones first. Most scores combine two kinds of signal:
- Fit: who the lead is. Location, company or job size, industry, and the service they asked about.
- Engagement: what the lead has done. Pages viewed, return visits, emails opened, a call booked.
When a lead crosses a threshold, the CRM routes it: call now, call today, or nurture.
How is a lead score calculated?
Add the points for every signal the lead shows, subtract the negative ones, and compare the total with your thresholds:
- Lead score = points for positive signals minus points for negative signals
Here is an example scoring sheet for a business that sells a service to other businesses:
| Signal | Points |
|---|---|
| Inside the service area | +20 |
| Job or budget at or above the minimum | +25 |
| Contact is the decision maker | +15 |
| Needs it within three months | +15 |
| Viewed pricing or case studies before enquiring | +10 |
| Free email address on a business enquiry | -10 |
| Outside the service area | Disqualify |
An example to show the mechanics, with made-up weights; the next section shows how to set real ones from your sales history. Thresholds might be 60 or more: call within five minutes; 30 to 59: call the same day; under 30: nurture.
How do you build a lead score from your own CRM data?
Use the last 12 months of leads and their outcomes. For each signal, compare the close rate of the leads that had it with your overall close rate, and give points in proportion to the difference.
- Export every lead from the last 12 months with its source, the fit fields you capture, and the outcome: won, lost or still open. Leave out the open ones.
- Work out your overall close rate. If 400 leads produced 40 clients, it is 10 percent.
- Work out the close rate for each signal. If leads from your core postcodes closed at 16 percent, that signal is worth 1.6 times the average. If leads under your minimum budget closed at 2 percent, that one is worth 0.2 times.
- Turn the ratios into points with one simple rule, for example 10 points for every 0.5 above 1.0, and minus 10 points for every 0.25 below it. Be wary of signals with only a handful of leads behind them; small samples swing wildly.
- Test it on last year. Score last year's leads, sort them into bands, and check that the close rate rises from band to band. If it doesn't, a weight is wrong.
The numbers in those steps are illustrations, not benchmarks. Rebuild the weights every quarter, and let engagement points fade with time: a pricing page visit last week says more than one six months ago.
How does lead scoring work in a CRM?
The CRM stores the score as a field on the lead or contact, recalculates it when the details or activity change, and runs automations when it crosses a threshold: assign an owner, create a call task, alert a rep or change the lifecycle stage. In three common CRMs:
- HubSpot has a lead scoring tool with fit, engagement and combined scores, and thresholds that label records by score range.
- Salesforce offers Einstein Lead Scoring, which uses machine learning to compare new leads with those that converted in the past and refreshes scores every 10 days.
- Pipedrive has rule-based custom scoring for deals, with positive and negative criteria, on its Premium and Ultimate plans.
Whichever you use, the score is only as good as the fields behind it. A required qualification status, set by sales after first contact, is worth more than any number of engagement points.
How do you implement lead scoring?
In six steps, starting with the definition rather than the software:
- Agree the qualified-lead definition with sales, in writing.
- Make the fields that test it required: service, location, size, timeframe, and a qualification status with a reason whenever a lead is rejected.
- Build the first weights from 12 months of outcomes, as above.
- Set the thresholds and the routing for each band.
- Run the score beside sales judgement for a month and compare where they disagree.
- Send the outcomes to your ad platforms (below), so scoring improves the leads you buy, not just the order you call them in.
What is speed to lead, and what is the 5 minute rule?
Speed to lead is the time between an enquiry arriving and a person making real contact. An automatic email or text is an acknowledgement, not contact. The 5 minute rule says to call new web leads within five minutes.
The 5 minute rule comes from a 2007 study, and the most-quoted speed-to-lead figures from a 2011 Harvard Business Review article. Both involved InsideSales.com, a company that sold lead response software, and its chief executive at the time:
| Study and data | Finding |
|---|---|
| Lead Response Management study, 2007: three years of data from six companies, over 15,000 leads and over 100,000 call attempts | The odds of contacting a lead fell 100 times when the call came at 30 minutes instead of 5, and the odds of qualifying it fell 21 times |
| The Short Life of Online Sales Leads, Harvard Business Review, March 2011: 1.25 million leads at 29 B2C and 13 B2B US companies, plus a test lead sent to 2,241 US companies | Firms that tried within an hour were nearly 7 times as likely to qualify a lead as those that tried an hour later, and more than 60 times as likely as those that waited 24 hours or more. Only 37 percent of firms responded within an hour; 23 percent never responded |
Sources: Harvard Business Review, March 2011 (Oldroyd, McElheran and Elkington); Lead Response Management executive summary, InsideSales.com, October 2007. Both are American studies.
Read them with care. Both are American studies, published 15 and 19 years ago, the company behind both sold software for responding to leads, and the 2007 summary says the patterns only showed up when several companies' data was combined. Both still point the same way, and the mechanism is plain: someone who has just filled in your form is at their desk, interested, and may be comparing you with other suppliers. So measure your own response times rather than borrowing anyone's multiplier.
How do you improve speed to lead?
Treat it as a routing and rostering problem, then measure it. The HBR authors named three causes: leads pulled from the CRM once a day instead of continuously, salespeople busy chasing their own prospects, and routing rules built on territory and fairness rather than speed.
- Route every new lead to a person straight away, by text or app notification, not a daily email digest.
- Cover the gaps. After-hours and weekend enquiries are the easiest to leave until Monday, so decide who answers them, or tell people on the form when you will call.
- Answer the phone. A missed call from an ad is a lead lost at full price, and call tracking shows which campaigns produce calls and which calls go unanswered.
- Record a first-contact time in the CRM, set by the first real conversation rather than the automatic reply.
- Report it monthly: leads by response time (under 5 minutes, under an hour, same day, later) against contact, qualification and close rates.
How do you send qualified leads back to Google Ads, LinkedIn and Meta?
Record the outcome in your CRM, then send it to each platform as a conversion matched to the original click or person. The platforms then bid toward the searches and audiences that produce qualified leads, instead of anything that fills in a form. Plan three events, from earliest to most valuable:
| Event | Recorded in | Used for |
|---|---|---|
| Enquiry (form or call) | Website and call tracking | Reporting, and bidding only until better data exists |
| Qualified lead | CRM status set by sales | The main bidding target, once volume allows |
| Booked job or closed deal, with its value | CRM deal stage | Value reporting and value-based bidding |
A starting structure. The right bidding event depends on your volumes.
Google Ads
Google needs a way to match the CRM record to the ad click. There are two:
- Click IDs. Capture the GCLID from the landing page URL in a hidden form field, store it on the CRM record, and upload conversions against it. Uploads count for up to 90 days after the click.
- Enhanced conversions for leads. The Google tag hashes the email or phone number from your form; later you upload the qualified lead with the same hashed details and Google matches the two. Google now recommends starting here rather than with click-ID imports, and suggests sending the GCLID as well wherever you have it.
HubSpot and Salesforce both connect to Google Ads through Google's Data Manager, and the Salesforce connection can import from lead and opportunity status changes. Pipedrive is usually connected through a connector or a small integration that sends deal stage changes. Our guide to Google Ads conversion tracking walks through the setup.
Meta
Meta matches on hashed contact details, its own lead ID and click data, sent through the Conversions API:
- Instant form leads: the conversion leads performance goal tells Meta to find people likely to reach the CRM stage you pick. The bar, per Meta's developer documentation: 200 or more leads a month, a daily upload, the Meta lead ID stored on every CRM record, and a target stage that between 1 and 40 percent of leads reach within 28 days.
- Website leads: send CRM stage changes as Conversions API events with hashed email and phone, so Meta can connect them to the people its ads reached.
- HubSpot can sync lifecycle stage changes to Meta through the Conversions API from Marketing Hub Starter up. Only changes made after you create the event are counted.
The setup is in our Meta Conversions API guide. For how this works over a long sales cycle, see our B2B lead generation page.
LinkedIn's Conversions API takes conversion events from your server or from a partner, and LinkedIn lists HubSpot and Salesforce among its partners. Each event is matched on identifiers such as a hashed email, LinkedIn's first-party ad tracking ID or the ID of a Lead Gen Form response, and only matched events are used for attribution and optimisation. Events must be from the past 90 days, the conversion types include qualified lead, and LinkedIn says the data can be used to optimise toward qualified leads.
When volume is too low
Bidding algorithms need data. Google's Target CPA guidance works from around 30 conversions per campaign over 30 days, and Meta keeps an ad set in its learning phase until it sees roughly 50 optimisation events in a week. If you qualify a dozen leads a month, bid on the most valuable event that still clears those numbers, usually the enquiry or the qualified lead, upload the booked deal with its value for reporting, and consolidate campaigns so the events pool. If your tracking can't capture any of this today, our attribution fix rebuilds it.
What happens to leads that are not ready yet?
They go into lead nurturing: kept warm until the timing is right, then qualified again. The job is to stay in front of them without spending sales time:
- Set a follow-up date from the timeframe they gave you, with a task to call on it.
- Send useful email: answers to common buyer questions, case studies and price ranges.
- Use your CRM lists for remarketing on Google, LinkedIn and Meta, so the ads they see match where they are.
- Re-score them when they come back. A return visit to your pricing page is a reason to call.
Where to start
Start with the definition: one page, agreed with sales, saying what makes a lead qualified, not yet or disqualified, and one required field in the CRM to record it. Scoring, routing and the feedback to the ad platforms all depend on it.
Defining, scoring and feeding back qualified leads is the core of our lead generation agency work. Or book a free 30-minute profit audit and have a month of CRM leads with their outcomes ready; a senior operator will go through where leads drop out between the click and the call. You keep the written findings.
Next step
Want this kind of work in your business?
Engagement intake is capped, senior operators run every account. If your attribution is leaking and your reports have stopped making sense, the next step is a 30-minute call.
