Stop optimizing for MQLs. The sales team hates you.

I refuse to report MQLs in quarterly reviews.

Not because they're not measurable. They are. Not because the data isn't there. It is. Because Marketing Qualified Leads are a fiction designed to make marketing departments look productive while leaving sales teams to deal with the consequences.

Let me explain.

What an MQL actually is

An MQL is any lead that meets a threshold defined by marketing. That threshold is usually something like: opened three emails, visited the pricing page twice, downloaded a resource.

The sales team gets handed this person. They call. The person has no idea who you are, was doing casual research, isn't remotely close to a buying decision, and is annoyed to receive a sales call.

This happens constantly. And every time it does, a sales rep wastes 20 minutes of their day. Multiply by 500 garbage MQLs a quarter and you've burned weeks of sales capacity.

Meanwhile, marketing reports "500 MQLs generated" in the board deck and calls it a successful quarter.

The Google Ads problem

When you optimize Google Ads campaigns toward MQL volume, the algorithm figures out the cheapest path to an MQL.

Cheapest path: gated content. Whitepaper. Ebook. Webinar. These assets attract a wide audience — including students, researchers, competitors, and junior employees who have no purchasing authority.

They fill the form. They become MQLs. The campaign reports low CPL. Marketing celebrates.

Sales receives 400 leads of which maybe 30 are worth pursuing. They spend time filtering instead of selling.

This is how you optimize your way into a broken funnel.

What to do instead

Optimize for demo requests and engineering quote forms only. Nothing else.

These are real purchase intent signals. Someone who fills out a "request an engineering consultation" form is explicitly raising their hand and saying "I have a real problem I need solved." That's different from someone downloading a free guide.

Your volume drops. CPL goes up. Your sales team closes more of what you send them.

I've seen accounts where switching from MQL optimization to SQLs reduced marketing-delivered lead volume by 60% and increased sales-accepted lead rate from 15% to 70%. Sales capacity freed up. Pipeline velocity improved. Revenue went up.

The B2B marketing funnel narrative says you need volume at the top to fill the pipeline at the bottom. That's true for consumer SaaS with free trials. It's not true for a $50,000 industrial product where every prospect needs a technical consultation.

The conversion action audit

Go into Google Ads right now. Look at your conversion actions.

Find anything that isn't a demo request or engineering contact form. Content downloads. Newsletter signups. "Get a quote" for products under $1,000. Chat interactions.

Set their conversion value to $0 in your primary conversion column. Move them to "secondary conversion" tracking only. Stop letting the algorithm optimize toward them.

Then go to your sales team and ask them: of the leads marketing sent us last quarter, how many were actually worth calling?

Whatever that number is, that's your real conversion rate. Design your campaigns to improve that number, not the total MQL count.

Your sales team will notice. That goodwill compounds.