What Is a Sales Qualified Lead (and How to Get More)
Your pipeline is full of leads that sales will not touch. Marketing says they are qualified. Sales disagrees. The root cause is usually that nobody has defined what sales qualified actually means. Here is how to fix that.
Everyone talks about SQLs but almost nobody has a definition that both marketing and sales agree on. ORRJO builds SQL definitions that end the argument and focus both teams on revenue.
The Challenge
There is no agreed definition
Ask marketing what an SQL is and you get one answer. Ask sales and you get another. Ask individual reps and you get five more. Without a shared, documented definition that both teams agree on, every lead handoff becomes a debate.
Marketing optimises for MQLs, not SQLs
Marketing hits their MQL number but only 10% become SQLs. The gap wastes sales time and creates resentment. Marketing feels unappreciated. Sales feels unsupported. The real problem is misaligned metrics and definitions.
Qualification criteria are based on guesswork
Most SQL definitions are based on assumptions about what makes a good lead. Job title, company size, and maybe budget. But without analysing what actually converts, the criteria are just educated guesses. Data should drive definitions.
Our Approach
How ORRJO solves this.
We facilitate a structured alignment session between your marketing and sales teams to define SQL criteria that both sides can live with. Then we build scoring models and qualification processes that enforce those criteria automatically, so the debate does not restart every quarter.
Companies that implement ORRJO's SQL alignment framework see their sales team follow up on 80% of qualified leads versus the typical 40%. In 2026, with 89% of revenue orgs using AI in sales, having a clean SQL definition is essential for training AI tools that triage and route leads.
Data-driven SQL definition
We analyse your closed-won deals to identify the characteristics that predict conversion. The SQL definition is based on what actually works, not what anyone assumes.
Joint qualification framework
Marketing and sales agree on criteria, weighting, and handoff process in a single workshop. Both teams sign off. Both teams are accountable to the same standard.
Continuous calibration process
Monthly reviews of SQL quality using conversion data. The definition evolves as your market and product evolve. Static definitions degrade over time.
What's Included
An SQL definition and qualification framework that marketing and sales both support.
SQL definition workshop
Joint session with sales and marketing to create a shared, data-backed SQL definition.
Closed-won analysis
Deep dive into your best deals to identify the traits of leads that actually convert.
Qualification scorecard
Weighted scoring model for evaluating leads against SQL criteria.
Handoff process design
Clear process for how and when leads move from marketing to sales.
Feedback loop mechanism
Structured way for sales to report SQL quality back to marketing for ongoing improvement.
SQL tracking dashboard
Real-time metrics on SQL volume, conversion rates, and quality trends.
Results That Speak
Pulsion // SQL Framework
"We thought we had a lead gen problem. ORRJO showed us it was a definition problem. Once we agreed on what qualified actually meant, conversion doubled."
CEO, Pulsion
FAQ
An SQL is a lead that meets your agreed criteria for sales engagement: they match your ICP, have an active need, have budget or can access it, and are willing to have a sales conversation. The specific criteria vary by company and should be data-driven.
An MQL has shown interest through marketing engagement like downloading content or attending a webinar. An SQL has been further qualified and meets criteria for a sales conversation. The MQL to SQL handoff is where most companies lose leads.
Two approaches: generate more MQLs and improve MQL to SQL conversion, or generate SQLs directly through outbound where qualification happens before the meeting is booked. Outbound skips the MQL stage entirely.
Start with four: ICP fit based on firmographic criteria, active need or problem, budget availability or access, and decision-making authority. Weight each based on your closed-won data. Not all criteria matter equally.
Involve sales in defining the criteria. When reps help set the standard, they trust the leads that meet it. Monthly calibration sessions where both teams review recent SQLs keep the definition honest and the trust high.
A well-defined SQL should convert to opportunity at 25 to 40%. Below 20% means the definition is too loose. Above 50% means it might be too restrictive and you are missing viable opportunities. Calibrate based on your data.
Why ORRJO Is Different
Without a shared definition, leads are opinions
When marketing says a lead is qualified and sales disagrees, the problem is not the lead. It is the definition. Most companies never formally define what qualifies a lead for sales. Marketing uses engagement metrics. Sales uses gut feel. Both are measuring different things.
ORRJO builds a data-driven SQL definition with clear, measurable criteria. Budget authority, timeline, pain severity, and fit score all factor in. The definition is codified and automated so it does not depend on anyone's judgment call. Our clients stop arguing and start closing.
Ready to define and generate more sales qualified leads?
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