We hear this a lot: "LinkedIn CPLs are too high, we're moving budget."
Sometimes that's the right call.
More often, the CPL isn't the problem. The word "lead" is.
What are you actually counting?
In a lot of accounts we inherit, a lead is anyone who filled in a form.
Students. Job seekers. Competitors having a look. People who wanted the whitepaper and nothing else.
Count all of that and Meta will beat LinkedIn on CPL every time. We've seen the raw lead cost gap run to 10x. We've also seen what happens to those cheap leads once sales starts calling them - we compared the two platforms properly here.
A CPL built on a loose definition isn't a performance metric. It's a vanity metric with a currency symbol on it.
Get sales to agree what's real
The fix is boring and organisational, which is probably why it gets skipped.
Sit down with sales and agree, in writing, what counts as an MQL and what counts as an SQL. Which titles. Which company sizes. What has to be true before anyone calls it qualified.
Then hold the campaigns to that definition, not the platform's.
This matters because sales and marketing quietly disagreeing about lead quality is how paid social programmes die. Marketing reports volume, sales complains about junk, and eventually someone cuts the budget without anyone knowing what actually worked.
The best-performing programmes we've run had the opposite: weekly sales feedback on lead quality feeding straight back into targeting. That closed loop is the single biggest difference we see between accounts that compound and accounts that plateau.
Judge on cost per qualified opportunity
Once the definition is tight, the metric that matters is cost per qualified lead - and behind it, pipeline.
CPC, CTR, CPM: those are inputs. Useful for diagnosing, useless for judging.
Run the numbers on cost per qualified opportunity and LinkedIn's premium often makes sense. Clicks cost multiples of Facebook's; the leads are routinely worth many multiples more. When that ratio doesn't hold for your business, spend elsewhere - but you can only know if the definitions are honest.
Getting to that number takes measurement that follows a lead past the form fill and into the CRM. That's attribution and reporting work, and it's less glamorous than a new campaign. It's also the thing that settles the CPL argument for good.
The uncomfortable version
Sometimes tightening the definition makes your numbers look worse before they look better.
Your lead volume drops. Your CPL - the honest one - goes up.
That's not performance getting worse. That's the fog clearing.
What happens next is the point: you optimise toward the leads sales actually wants, the platform learns from better signals, and the cost per qualified opportunity starts to fall.
We've watched lead targets improve quarter on quarter while spend fell, on exactly this approach.
The accounts that struggle aren't the ones with high CPLs. They're the ones where nobody can say what a lead is.
