# How to Qualify B2B Leads: MQL, Hand-Raise (HR), and PQL Explained > Learn how to qualify B2B leads using MQL, Hand-Raise, and PQL. Lead scoring by fit and intent, SLA thresholds, and CRM setup. Qualifying B2B leads comes down to one decision: which contacts deserve a salesperson's time right now, and which should keep getting nurtured by marketing until they are ready. The cleanest way I have found to make that call uses three lead types. An MQL, a Marketing Qualified Lead, looks like your ideal customer and is showing digital interest. A Hand-Raise, or HR, explicitly asked to talk to you. A PQL, a Product Qualified Lead, has already hit a moment of real value inside your product. The trick is to stop thinking in a single score and start scoring two independent things: fit, meaning how closely the contact matches your ICP, and intent, meaning how much engagement or product usage they are showing. A contact can be a perfect fit with zero intent, or a hand-raiser who is not a fit at all. Treating those as separate dimensions is what makes your handoff to sales trustworthy. This two-axis model is at the heart of the revenue-architecture approach I use with clients. If you remember one thing, make it this: PQLs and Hand-Raises beat MQLs, because demonstrated intent and product usage are stronger signals than inferred interest. Below is how I define each type, score them, set thresholds, and wire it all into a CRM with an SLA your sales team will actually honor. ## What is an MQL, and how is it different from a Hand-Raise and a PQL? These three labels get used interchangeably, and that is exactly why so many handoffs break. Here is the distinction that matters. An MQL, a Marketing Qualified Lead, is a contact who matches your ICP and is showing enough digital interest to justify a sales conversation, even though they have not explicitly asked for one. The interest is inferred from behavior: downloading a case study, hitting your pricing page more than once, opening a sequence of emails. An MQL is a marketing hypothesis that says this person looks ready. A Hand-Raise, or HR, is a lead who explicitly raised their hand. They booked a demo, filled out the contact or talk-to-sales form, or replied yes, let us talk. This is the strongest intent signal in B2B, and it demands a response measured in minutes, not days. A PQL, a Product Qualified Lead, is relevant when you run a free trial or freemium motion. A PQL is a user who has reached a measurable value moment inside the product, the kind of activation event that predicts conversion. A SaaS billing tool, for instance, might define its PQL as a user who successfully issued their first valid invoice. The product behavior is the qualifier, not a form fill. The priority order is straightforward. PQLs and Hand-Raises come first because they reflect actual usage or explicit intent. MQLs come next because their interest is inferred. When your reps are deciding who to call this morning, that ranking is the answer. ## How does lead scoring by fit and intent actually work? Good scoring keeps two numbers separate instead of mashing them into one. The fit score is firmographic. It measures how closely the contact and their company match your ICP across industry, company size, region, and the seniority of the role. It answers a simple question: should we ever sell to this person at all? The intent score is behavioral. It measures what the contact is actually doing, like booking a demo, visiting pricing, engaging with a nurture sequence, or returning to the site. It answers a different question: are they ready now? A simple point model makes this concrete. On the fit side you might assign 20 points for a target industry, 20 for company size in the 50 to 500 employee range, 15 for a priority market or region, and 25 for a decision-maker title like VP, Director, or Head of, while docking 15 points for a negative signal like a free personal email address. On the intent side you score the engagement actions above. Then you set thresholds. For example, a fit score of at least 60 combined with an intent score of at least 30 earns MQL status. Plotting fit against intent in a 2x2 matrix tells the system what to do. High fit and high intent goes to sales immediately. High fit with low intent keeps getting nurtured, because they are worth winning but not ready. Low fit with high intent gets flagged for manual review, since they are eager but possibly out of profile. Low fit and low intent stays in marketing. Keeping fit and intent on separate axes is what stops a noisy hand-raiser who is not a real buyer from jumping the queue ahead of a perfect-fit account. ## What thresholds and real-world examples should I use for each lead type? Thresholds are judgment calls, but examples make them tangible. Here are a few patterns I have used across different B2B motions. In mid-market fintech, the ICP is companies above a set annual revenue with 100 to 1,000 employees, and the buying contacts are CFOs and Treasurers. An MQL there is a Finance Manager who downloads your cost-savings calculator. A Hand-Raise is that same profile booking a 30-minute call. In product-led logistics SaaS, the most valuable PQL is a user who completes their first carrier integration and processes more than 50 shipments within seven days of signup. That activation depth predicts paid conversion far better than any marketing touch ever will. In a regional HR or people platform, geography and role nuance separate your MQLs. A coordinator attending a webinar is an MQL. A coordinator requesting a formal quote is a Hand-Raise. The guiding principle I keep coming back to is that it is better to send sales 20 real MQLs they will actually work than 200 they will ignore. Aim for an MQL-to-opportunity conversion rate above 15 to 20%. If you are converting below 10%, your thresholds are set too low and you are flooding reps with noise, so tighten them. If reps are starved and converting at 40%, you are probably too strict and leaving pipeline on the table. ## What should the SLA between marketing and sales include? A handoff without a written SLA is where leads go to die. A complete marketing-to-sales SLA needs four commitments. The first is shared, written definitions. MQL, Hand-Raise, and PQL each defined with explicit criteria and thresholds, signed off by both teams. If marketing and sales privately disagree on what an MQL is, every downstream metric is fiction. The second is response times. Hand-Raises and PQLs get worked within one business hour, ideally inside 5 to 15 minutes. MQLs get worked within 24 hours. Speed is not a nicety here. The classic Harvard Business Review research on lead response found that contacting a lead within the first five minutes dramatically increases the odds of qualifying it versus waiting more than 30 minutes. This is exactly why fast, conversational follow-up channels, live chat, SMS, and messaging apps like WhatsApp that dominate inbound in many LATAM and EMEA markets, are now a core part of speed-to-lead, not just email and phone. The insight is the same everywhere: whoever responds first usually wins. The third is contact attempts, the cadence. Define how many touches a lead gets before it is marked uncontactable, for example five touches across 10 days using different channels. I called once and they did not pick up is not a closed loop. The fourth is recycling rules. When sales disqualifies a lead, it goes back to marketing with a documented reason, not silently into the trash. That feedback is how you tune your thresholds. The SLA runs both ways. Marketing commits to a volume and quality of MQLs, and sales commits to working them on time and documenting the outcome in the CRM. Both signatures, or it is not an agreement. ## How does this connect to your CRM and your Revenue Machine Blueprint? Lead qualification only works once it lives in your CRM, not in a spreadsheet someone forgets to update. At minimum you need fit-score and intent-score fields, a lifecycle stage field that runs from Subscriber to Lead to MQL to Hand-Raise to PQL to Opportunity, automations that fire when a contact crosses a threshold, and routing rules that start the SLA response timer the moment a lead qualifies. The most common sequencing mistake is building the scoring model before defining the ICP and the underlying pain framework. That gets you a precise score for the wrong thing. The order I follow is ICP and buyer personas first, then the pains those personas feel, then qualification criteria combining fit and intent, then CRM scoring and lifecycle stages, and finally the marketing-to-sales SLA. Do it in that order and the scoring inherits meaning from the strategy above it. The Revenue Machine Blueprint ties all of this together, the ICP, pains, qualification, scoring, and SLA, into one coherent architecture. You can generate yours for free at blueprint.switchon.dev/en, built by AI in about a minute and grounded on your real website, with output you can configure in HubSpot, Pipedrive, or Salesforce. ## FAQ ### What is an MQL in plain English? An MQL, a Marketing Qualified Lead, is a contact who fits your ideal customer profile and is showing enough digital interest, like visiting your pricing page, downloading a resource, or engaging with emails, that it is worth having sales follow up, even though they have not explicitly asked to talk yet. ### What's the difference between an MQL and an SQL? Marketing qualifies an MQL based on fit and inferred interest. An SQL, a Sales Qualified Lead, is an MQL that sales has reviewed, accepted, and turned into a real opportunity. Put simply, an MQL is a marketing hypothesis and an SQL is a sales-validated opportunity. ### What is a Hand-Raise (HR) and why does it matter so much? A Hand-Raise is an explicit request to talk: booking a demo, submitting a contact-sales form, or replying yes, let us talk. It is the strongest intent signal in B2B, which is why it deserves a response in minutes. Speed of response is one of the best predictors of whether you will qualify and win the deal. ### When should I use PQL instead of MQL? Use PQLs when you have a free trial or freemium product where users can experience value on their own. In a product-led motion, what someone actually does inside the product predicts conversion far better than their marketing engagement, so a meaningful activation event is a stronger qualifier than a form fill. ### How do I start lead scoring if I have no historical data? Start with judgment, not regression. Define the fit attributes that matter, like industry, size, region, and role, and the intent actions that signal readiness, like a demo request, pricing visits, and sequence engagement, then assign rough point values. Review it monthly, adjusting thresholds based on how many leads sales accepts and how they convert, aiming for a 15 to 20% MQL-to-opportunity rate. ### What if marketing and sales can't agree on the definitions? Misaligned definitions are the root cause of most handoff failures, with sales ignoring MQLs while marketing inflates its numbers. The fix is a two-way SLA signed by both teams that spells out the criteria for each lead type, the response times, and the rules for recycling unqualified leads back to marketing. ## Book a 15-min call [Book a 15-min call](https://calendar.app.google/2CaVvipcv6egBC5EA) **Keywords:** MQL, Hand-Raise, PQL, lead qualification, B2B lead scoring, fit and intent scoring, marketing to sales SLA, speed to lead, Revenue Architecture, MQL vs SQL, product qualified lead, CRM lifecycle stages, lead routing, Revenue Machine Blueprint --- Canonical source: https://blueprint.switchon.dev/en/blog/calificar-leads-mql-hr-pql SwitchON ยท blueprint.switchon.dev