LinkedIn Lead Gen Forms: is a cheap CPL hiding bad leads?

LinkedIn Lead Gen Forms look great in the platform report: cheap leads, form fills climbing, CPL trending down. But a pattern a lot of B2B teams describe is sales saying most of those leads are students, job seekers or people who tapped out of curiosity. Say a software company gets 200 leads a month at $35 each and sales accepts 12 of them. CPL isn't the number that matters there. For B2B I'd judge the form on SQL rate and cost per opportunity, because if those are bad, the cheaper CPL is just a more expensive way to waste sales time. Pre-filled profile data makes the form almost frictionless, which is a big part of the problem. Has anyone added a qualifying question and seen volume drop without pipeline dropping with it?

I don't think the form is the problem. Pre-filled fields won't make a student apply to a software tool, targeting does. If the campaign runs on broad job-function or interest audiences with no seniority or company-size filter, the form just collects whoever happens to be scrolling the feed. Those people fill it in fast because it's easy, and that's exactly what keeps CPL low and SQL rate low at the same time. I'd tighten the audience before touching the questions, then see whether the 12 out of 200 moves.

It depends on why sales is rejecting them. If reps are marking most of the 188 as wrong job title, student, or no real company, that's a targeting and form problem, and Theo's audience fix is the right first move. If they're marking them as the right person but no budget this quarter or not now, the audience is fine and the offer is just showing up too early. Those need different fixes. A lot of teams never record rejection reasons in the CRM, so the argument stays stuck on CPL versus SQL rate when the split would settle it.

Elena's split is the right test, but I'd make the rejection reason a required dropdown in the CRM instead of a free-text note. With free text nobody can count the reasons, and after two weeks you're back to arguing from memory. Map the lead form into the CRM so every lead lands with a status, then force a choice from a short list: wrong title, student or job seeker, wrong company size, no budget, not now. Pull the counts for the 188 rejects and you'll see which fix you actually need.

Theo, tightening the audience will help, but seniority and company-size filters shrink reach and usually push CPL up first. So the number that looks good will probably get worse before the pipeline improves. That's the trade. I'd judge it on cost per accepted lead over four or five weeks, not the first few days.