Pipeline starts long before sales gets involved. It starts the moment someone downloads your guide, revisits your pricing page, or clicks on an ad for the third time this week.
The question is: what do you do with them next? That depends entirely on where they are - and that's exactly what MQLs and SQLs help you figure out.
Who is a marketing qualified lead?
MQLs sit in the research and evaluation stage of your funnel. They're engaging with your brand: reading your content, revisiting key pages, attending webinars, or in India's B2B context, it is responding to a WhatsApp message with a specific question about your product. The intent is real. The timing isn't right for a sales rep yet.
The abbreviation MQL comes from "marketing qualified lead." You'll also see it written as "MQL lead" informally. The counterpart is the SQL - “sales qualified lead” which is a prospect who has moved past research into active evaluation.
Marketing teams typically generate MQLs through inbound content, paid ads, webinars, and email campaigns. They qualify them using two inputs: fit (who the person is) and behaviour (what they have done).
MQL criteria: how to qualify a marketing lead?
Fit: Do they fit your Ideal Customer Profile? This can include industry, company size, job title, geography, or technology stack.
Behaviour: Are they actively engaging with your content? This could be visiting the pricing page, downloading a guide, attending a webinar, or returning to the site multiple times.
Lead scoring: Based off of the engagement criteria, where do they stand on the scoring scale? The threshold to what qualifies as a MQL to SQL is different for different companies.
For example,
Marketing qualified lead examples: 9 signals your team should track
- Downloading an ebook, whitepaper, or case study
- Signing up for a webinar or attending one
- Visiting high-intent pages (pricing, product, features) multiple times
- Filling out a contact or newsletter form
- Clicking on ads or email campaigns
- Engaging with content (liking, commenting, sharing on LinkedIn)
- Starting a free trial or freemium signup (early-stage intent)
- Watching a large portion of a demo or product video
- Returning to your website multiple times within a short period
Who is a sales qualified lead?
A sales qualified lead is a potential customer who has expressed clearly buying intent. They’re ready to talk to sales.
Sales teams validate SQLs based on factors like need, budget, authority, and timeline, ensuring the lead is worth pursuing.
Sales qualified lead examples: 10 signs it's time to hand off
- Requesting a demo or booking a sales call
- Asking for pricing, proposal, or quotation
- Starting a free trial and actively using key features
- Replying to outreach with specific requirements or timelines
- Asking detailed product or implementation questions
- Involving decision-makers (manager, finance, procurement) in conversations
- Comparing your product with competitors directly
- Requesting contract terms, SLAs, or security/compliance details
- Negotiating pricing or asking for discounts
- Confirming budget availability or purchase timeline
MQL vs SQL
How to measure marketing qualified lead: 4 metrics to track
Generating marketing qualified leads is only half the job. The other half is knowing whether your definition of MQL is actually working, and that requires tracking four specific numbers every single month.
1. Marketing qualified lead (MQL) volume
This is the total number of marketing qualified leads generated in a given period (weekly/monthly).
Track it by source, not just as a total:
- Paid ads
- Organic (SEO/content)
- Webinars/events
- WhatsApp or inbound chat
Simple tracking row (monthly):
Month | Total MQLs | Ads | Organic | Webinar | WhatsApp
This helps you see where volume is coming from and whether it’s diversified or dependent on one channel.
2. MQL-to-SQL conversion rate
This tells you whether your MQL definition is aligned with actual sales readiness.
Formula:
SQL/MQL x 100
3. Marketing qualified lead (MQL) velocity
This measures the average number of days it takes for an MQL to become an SQL.
- Faster velocity = higher intent or better nurturing
- Slower velocity = friction in follow-ups or unclear qualification
If leads are taking too long, check:
- Are follow-ups delayed?
- Is your nurture sequence too long or irrelevant?
- Are high-intent signals being missed?
4. Marketing qualified lead (MQL) source quality
Not all channels produce equal opportunities. The one generating the most MQLs isn’t always the one driving revenue.
Simple comparison:
In this case, organic generates fewer leads but better ones.
How to generate marketing qualified lead: What works in Indian B2B
MQL generation in India looks different because buyers here spend most of their time on WhatsApp.
1. Vertical webinars (specific > broad)
Generic webinars (“How to improve sales productivity”) tend to attract mixed audiences.
In India, industry-specific webinars perform better:
- CRM for pharma distributors
- Sales tracking for logistics companies
- Lead management for MSME lenders
Why? Because attendance itself becomes a qualification signal.
Also, don’t rely only on email for registrations. Add a WhatsApp-based registration flow - it increases show-up rates and gives you a direct follow-up channel.
2. WhatsApp broadcast sequences (permission-based, not spam)
WhatsApp is not just a follow-up tool but also a lead generation channel.
Set up permission-based broadcast lists and send messages framed as questions:
- “Are you currently tracking leads on Excel or a CRM?”
- “How are you handling missed follow-ups in your sales team?”
Anyone who responds with a meaningful answer is a high-intent MQL.
To make this scalable, you need a system that:
- Logs responses
- Tags intent signals
- Triggers follow-ups automatically
This is where Superleap CRM helps by turning WhatsApp replies into trackable, actionable leads.
3. LinkedIn retargeting with time-on-page scoring
For cold audiences, LinkedIn is your best entry point but the real leverage comes from retargeting.
Target:
- Decision-makers by job title and company size
- Users who spent 60+ seconds on your pricing or comparison pages
This filters out casual visitors and focuses your budget on high-fit prospects.
The result: fewer leads, but significantly better ones.
4. Festival season and Q4 timing
Timing matters more in India than in most markets.
Two key windows drive MQL spikes:
- January-March (financial year-end) - budget approvals and final purchases
- Dussehra to Diwali - pre-festival investment cycle
Your highest-effort campaigns like webinars, comparison content, retargeting should be aligned to these periods.
Common mistakes teams make with an MQL
Scoring the activity instead of intent
The biggest mistake is setting a threshold too easy. Every lead that downloads an e-book or every lead that clicks on an Ad is not a prospect.
A clear and strict scoring system must be implemented to weed the unserious ones from those who are actually looking for solutions.
MQL inflation to hit volume targets
Another mistake is focusing on lead quantity over quality. We all love a voluminous pipeline but poor conversion rates reveal that most of them weren’t ready. Nurturing when the lead has high intent is what will turn interest into revenue.
The solution is politically uncomfortable but simple: tie MQL reporting to downstream conversion, not raw volume. If your sales team is rejecting 60% of the MQLs you send within one week of receiving them, your threshold is wrong, not your sales team.
Ignoring negative signals
A lead scoring model without negative scores is a model that only moves in one direction. If a contact visits your careers page, they are probably looking for a job. If they unsubscribe from every email, their engagement is declining. Negative scoring keeps the model honest.
Start simple, calibrate quarterly
You don't need a perfect MQL scoring model on day one. You need one that both your marketing and sales team have agreed on and that's it.
Start with three qualifying actions (pricing page visit, content download, webinar attendance), set a threshold your sales team says they can trust, and review it every quarter based on what actually converted.
If you're managing leads in a spreadsheet or tracking conversations on WhatsApp right now, Superleap's lead management features let you score MQLs, set qualification rules, and give your sales team one place to see which leads are ready.
%201%20(1).svg){kind=logo}
.svg)
.svg)
.svg)
.svg)