Marketing Qualified Leads (MQL): Define Criteria and Hand Off to Sales

Marketing generates leads. Sales closes them. The handoff between the two is critical.

Bad handoff: "Here's 500 leads, good luck." Most are cold, unqualified, waste of time. Sales ignores them. Marketing budget gets cut.

Good handoff: "Here's 50 leads that fit your ICP, engaged with content, right title/company size. Sales should contact within 24 hours." Reps call them. Some convert. Everyone's happy.

The difference: MQL criteria and a clear handoff SLA.

This guide builds both.

What Is an MQL?

MQL = Marketing Qualified Lead

A lead that marketing has vetted as meeting your ideal customer profile and showing buying intent.

MQL criteria has two components:

1. Firmographic fit (company characteristics) - Company size: 50-500 employees - Industry: SaaS - Revenue: $10M-$100M - Geography: US - Growth stage: Series A+

2. Behavioral engagement (intent signals) - Downloaded whitepaper - Attended webinar - Visited pricing page - Opened email 3+ times - LinkedIn profile viewed

Lead becomes MQL when it meets BOTH criteria: right company type AND shows engagement.

Building Your MQL Definition

Step 1: Define your ideal customer (firmographic)

Look at your best customers. What do they have in common?

• Industry: _____
• Company size: _____ employees
• Revenue range: $M-$M
• Geography: _____
• Business model: _____
• Growth stage: _____
• Tech maturity: _____

Example MQL firmographic requirements:

For a sales automation platform: - Industry: SaaS, Technology, Financial services - Company size: 20-500 employees - Revenue: $5M-$500M - Geography: US headquarters - Business model: B2B - Growth stage: Series A or later - Tech maturity: Cloud-native

Lead must match ALL criteria to be considered firmographically qualified.

Step 2: Define engagement criteria

What behaviors indicate buying intent?

High-intent behaviors: - Pricing page visit (30 points) - Demo request (40 points) - Whitepaper download (15 points) - Webinar attendance (20 points) - Product comparison download (20 points) - Email click-through on sales topic (10 points)

Low-intent behaviors: - Homepage visit (0 points) - Blog read (0 points) - Email open (0 points)

MQL threshold: Lead must accumulate 15+ points AND have had engagement in the last 30 days.

Example: - Downloaded whitepaper (15 points) + attended webinar (20 points) = 35 points, qualifies as MQL - Homepage visit (0 points) only = does NOT qualify as MQL

Step 3: Define job title criteria

Not all roles matter. Define which titles are relevant.

Example for a sales tool: - VP of Sales, Chief Revenue Officer, VP of Talent - Sales Directors, Sales Managers - Sales Operations, Revenue Operations - Sales Development, SDR

Do NOT include: - Individual contributors (sales reps) without manager title (they don't control budget) - Finance roles (unless secondary contact) - Marketing roles (unless secondary contact)

Lead must be in a decision-making role (title indicates influence or budget authority).

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MQL Handoff Framework

Step 1: Establish MQL-to-SQL handoff process

MQL = marketing qualified lead (lead passes marketing criteria)

SQL = Sales Qualified Lead (sales believes deal is worth pursuing)

Not all MQLs become SQLs. Sales qualifies further.

Handoff SLA: - Marketing delivers MQL to sales within 24 hours of qualification - Sales must contact within 24-48 hours - Sales has 5 business days to qualify (ask discovery questions) - If qualified: becomes SQL - If not qualified: returned to marketing for nurture

Step 2: Create qualification questions for sales

When sales contacts MQL, they ask:

1. Does the company match our ICP? (firmographic verification) - "How many people on your sales team?" - "What's your company size?" - If no: not SQL. Send back to nurture.

2. Do they have the pain we solve? - "What's your biggest sales challenge right now?" - "How are you tracking pipeline?" - If no pain: not SQL. Send back.

3. Do they have budget? - "Is this budgeted for this year?" - "Would this come from annual training budget or sales ops?" - If uncertain: not SQL yet. Nurture until budget confirmed.

4. When would they decide? - "If we could show [value], when would you want to move forward?" - "What's your timeline for making a decision?" - If 6+ months away: not SQL yet. Add to nurture queue.

5. Are we talking to the right person? - "Who else is involved in this decision?" - "Does [VP of Sales] need to be in this conversation?" - If talking to wrong person: route to right person or send back.

If all 5 are green: SQL.

Step 3: Define sales SLA with marketing

Sales commits: - Touch all MQLs within 48 hours - Qualify (ask discovery questions) within 5 business days - Return unqualified leads to marketing

Marketing commits: - Deliver MQLs within 24 hours of qualification - Only send leads matching agreed criteria - Nurture returned leads on a weekly cadence

MQL Volume vs. Quality

Balance volume and quality.

Too strict (high quality, low volume): - Only send 10 MQLs/month - High % convert to SQL - Sales happy, but pipeline slow

Too loose (low quality, high volume): - Send 500 MQLs/month - Low % convert to SQL (20 SQLs) - Sales frustrated, ignores lead list

Right balance: - Send 100-200 MQLs/month - 40-50% convert to SQL - Sales works them, happy with quality

Tracking MQL Quality

Every month, measure:

MQLs sent:              200
SQLs created:           80 (40% SQL conversion)
Meetings booked:        25 (31% of SQLs)
Deals created:          8 (32% of meetings)
Deals closed:           2 (25% of deals)
Revenue:                $100K

MQL quality metric:     20% of MQLs become closed deals
                        50% of MQLs generate pipeline

If SQL conversion drops below 30%, tighten MQL criteria (too many bad leads going to sales).

If it's above 60%, loosen criteria (missing good leads).

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MQL by Company Stage

Early-stage (cold start): - Less strict on criteria - Volume matters more than perfect fit - MQL = downloaded content OR visited pricing page - Target: 50 MQLs/month

Growth-stage: - Moderate criteria - Look for 2+ engagement signals - MQL = engaged with content + ICP match - Target: 100-200 MQLs/month

Scale-stage: - Strict criteria - Look for 3+ engagement signals + high intent - MQL = pricing page visitor + webinar OR contact form + ICP match - Target: 200-500 MQLs/month

Example: Real MQL Definition

SaaS Marketing Platform for B2B Marketing Teams

Firmographic criteria (lead must match ALL): - Industry: SaaS, Software, Marketing services, B2B technology - Company size: 20-500 employees - Revenue: $5M-$500M - Geography: US - Business model: B2B - Job title: CMO, VP of Marketing, Marketing Director, Manager of Demand Generation

Behavioral criteria (lead must have ONE of): - Visited pricing page in last 30 days - Attended webinar in last 30 days - Downloaded case study or whitepaper in last 30 days - Clicked email link in marketing automation topic in last 14 days - Viewed product demo page in last 30 days

Lead is MQL when: - Matches all firmographic criteria AND - Meets one or more behavioral criteria AND - Last activity within 30 days

MQL Recycling

Not all MQLs will be ready to buy immediately.

For unqualified leads (returned from sales): - Add to email nurture sequence - Target: Requalify every 60 days - If no engagement, remove from active list

Example nurture: - Week 1: Education (how other companies use your solution) - Week 2: Social proof (customer story relevant to their industry) - Week 3: Quick-win guide (short-term value) - Week 4: Check-in (ready to talk?) - If not engaged: send to quarterly newsletter, dormant

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Common MQL Mistakes

Criteria too broad. "Anyone who downloaded a whitepaper." This includes people who barely qualify. Sales ignores list.

Criteria too strict. "Only people who visited pricing page + attended webinar + opened 5 emails." Miss good leads. Pipeline dries up.

No conversation between sales and marketing. Marketing sends leads, sales ignores them, no alignment. Friction.

Counting clicks as engagement. Link click = low intent. Pricing page visit + demo request = high intent. Weight appropriately.

No time decay. Lead downloaded whitepaper 6 months ago. Still MQL? No. Require recent engagement.

Same criteria for all products. Enterprise product needs different MQL criteria than SMB product. Different campaigns. Different buyers.

MQL Metrics Dashboard

Track monthly:

MQLs generated:        150
MQLs passed to sales:   150
SQL creation rate:      45% (68 SQLs)
SAL conversion rate:    50% (34 SALs = sales accepted leads)
Meeting rate:           30% (25 meetings)
Pipeline from MQLs:     $2M
Revenue from MQLs:      $400K
MQL ROI:               2.67x (400K / 150K MQL cost)

Benchmark: - MQL to SQL: 30-60% (goal: 40-50%) - SQL to meeting: 40-60% (goal: 50%) - MQL to closed deal: 3-10% (goal: 5-8%)

If ratios are worse than benchmarks, tighten MQL criteria or improve sales follow-up.

Next Steps

1. Document your ideal customer (firmographic + job title)
2. Define 3-5 high-intent engagement behaviors
3. Build scoring: firmographic + behavioral
4. Set MQL threshold
5. Train sales on qualification questions
6. Establish handoff SLA
7. Track and measure monthly
8. Adjust based on actual conversion rates

Book a demo to see how Abmatic AI helps marketing and sales teams align on MQL criteria, track qualification metrics, and improve conversion from lead to closed deal.