Glossary
What Is an SQL in SaaS?
An SQL (Sales Qualified Lead) is a prospect that the sales team has evaluated and confirmed as having budget, authority, need, and timeline (BANT) to make a purchase decision. SQLs have moved past marketing interest into active buying consideration.
SQL (Sales Qualified Lead) explained
The MQL-to-SQL handoff is where many SaaS companies lose deals. Marketing passes leads over; sales evaluates them against stricter criteria. Only leads that meet sales qualification standards become SQLs. Typical SQL criteria (BANT framework): - Budget: they can afford your product at your price point - Authority: they're the decision-maker or have direct access to one - Need: they have a specific, active problem your product solves - Timeline: they want to solve it within a defined timeframe (not "someday") For self-serve SaaS (no sales team), the SQL equivalent is a user who: - Reaches usage limits on the free plan - Actively explores upgrade/pricing options - Invites team members (signals organizational adoption) - Uses the product daily for 7+ consecutive days The MQL → SQL conversion rate reveals campaign quality. If marketing generates 100 MQLs but only 5 become SQLs, the targeting or messaging is attracting the wrong people. If 30 become SQLs, the campaign is well-aligned with the ICP. SaaS companies track the cost per SQL (not just cost per lead) because it's the true measure of marketing efficiency. A $5 lead that never qualifies is more expensive than a $50 lead that closes.
Why this matters for SaaS marketing
Infinall's ICP-first approach means campaigns attract people who match SQL criteria from the start. By targeting specific roles, company sizes, and pain points, the leads your ads generate are more likely to pass sales qualification — reducing wasted outreach and improving your cost per SQL, not just cost per click.
Frequently asked questions
Do product-led SaaS companies need SQLs?+
The concept adapts. Instead of sales qualifying leads manually, product signals (usage depth, feature adoption, team invites) identify users ready for upgrade conversations or expansion outreach. The principle is the same: not every user deserves sales attention.
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