GrowthStack Advisory / MQL to SQL Conversion
Guide
How to improve MQL to SQL conversion
Most teams try to fix a conversion problem by generating more leads. That usually makes it worse. Here is the sequence that actually moves the number.
Founder, GrowthStack Advisory. 10+ years building SDR and GTM systems at Locus, GoComet, and Landmark Group.
· 4 min read
The short answer
To improve MQL to SQL conversion, write down what qualified means, enforce a fixed follow up pattern, and report conversion by source and by rep weekly. Most teams try to fix this metric by generating more leads, which makes it worse. In our engagements this sequence moved qualification from 15% to 25% and from 10% to 25% within one to two months.
- Define qualified in writing, including disqualifying criteria, so two reps grade the same lead identically
- Fix follow up before volume, most MQLs are lost to silence, not rejection
- Report by source and by rep weekly, so you can see which input moved
- Do not add lead volume until the handoff stops leaking
The number is a symptom, not the problem
A low MQL to SQL rate almost never means marketing is sending bad leads. It usually means nobody has written down what qualified means, so every rep applies a different standard and the handoff leaks.
At Locus, moving this metric from 10% to 25% took no additional lead volume. It took a written definition, a follow up standard, and reporting that made the gaps visible.
Step one: write the qualification criteria down
Pick the four or five attributes that genuinely predict a closed deal in your business. Company profile, trigger event, problem stated, authority present, timing. Then write the disqualifying conditions too, which most teams skip and which matter just as much.
If two reps can read your criteria and disagree about the same lead, the criteria are not finished. This is the same work described in ICP, persona and messaging.
Step two: fix follow up before anything else
Most MQLs are lost to silence rather than rejection. A lead worked once and abandoned is not a bad lead, it is an unworked lead. Set the number of touches, the channels, and the interval, and hold the team to it.
- Speed to first touch measured in minutes for inbound, not days
- A fixed touch pattern across email, phone, and LinkedIn
- A defined exit rule so reps stop guessing when to give up
Step three: make the funnel visible
You cannot improve a handoff you cannot see. Track conversion by source, by rep, and by stage, and review it weekly. When the number dips, the dashboard should tell you which of the three inputs moved. See GTM analytics and reporting.
What to expect
In our engagements this work has moved qualification from 15% to 25% for a shipping technology platform and from 10% to 25% for a workplace solutions partner, both within one to two months. Results vary by company, market, offer, and team maturity.
Use the tool
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Outbound readiness scorecard
Twelve yes or no questions across the four things that decide whether outbound works. Answer honestly, the grade is only useful if you do.
Related reading
Questions
What is a good MQL to SQL conversion rate?+
It varies widely by industry, offer, and lead source, so the useful benchmark is your own trend over time. Moving from 10% to 25% within a quarter is achievable when the problem is qualification discipline rather than lead quality.
Should we generate more leads to fix conversion?+
Usually not first. Adding volume to a leaky handoff increases cost without increasing pipeline. Fix the definition of qualified and the follow up standard, then scale volume.
Tell us where the funnel leaks
We will tell you honestly whether it is a targeting, execution, or qualification problem, and what it would take to fix.
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