Why does cost per lead swing from £5 to £257 for the same course?
Two campaigns can target the same postcode, the same trade, the same age bracket, and land 50x apart on cost. The variable is targeting logic, not creative. A campaign built to capture anyone curious about "electrician training near me" pulls in browsers: people comparing three colleges, people checking if the trade pays well, sixteen-year-olds doing a school project. A campaign built around actual enrolment intent, funding eligibility, and start-date proximity pulls in people who show up to induction.
Training providers often inherit generic education-marketing setups from agencies that also run campaigns for universities and online course platforms. That's the root of the £257 number. University marketing optimises for volume of interest. Vocational marketing has to optimise for people who can start a cohort in six weeks and pass entry requirements.
What actually drove Elec Training's cost per lead to £257?
Three things compounded. Broad interest targeting instead of intent-based signals. No pre-qualification layer between ad click and lead form, so tyre-kickers and genuine applicants landed in the same bucket at the same cost. And a single generic landing page trying to serve every course variant at once, diluting relevance score and inflating platform-side cost per click.
None of these show up as "bad ads" in a surface-level audit. The creative looked fine. The copy read fine. The failure was structural, sitting one layer beneath what most people check.
What fixed it, and why wasn't it a bigger ad budget?
The fix was a qualification layer before spend, not after. Questions that separated genuine applicants from browsers got moved to the front of the funnel, not the back. Course-specific landing pages replaced the single generic page. Targeting shifted from broad interest categories to signals tied to actual enrolment behaviour, like funding eligibility and course start proximity.
Cost per lead dropped to £5.28. That's a 97.9% reduction, and spend didn't move. The budget was never the constraint. The filter was.
A qualification layer moved to the front of the funnel, on the same budget.
Is a £5.28 lead actually cheaper than a £50 lead?
Not automatically. A £5.28 lead that never enrols is more expensive than a £50 lead that does, once you account for admissions staff time chasing dead contacts. This is the trap training providers fall into when they read a case study and copy the number without copying the qualification logic behind it.
Cost per lead is an input metric. Cost per enrolled student is the output metric. A provider chasing the input number alone can hit £5 CPL and still miss cohort targets, because the qualification layer that made £5.28 cheap at Elec Training is what made those leads convertible, not the price tag itself.
Cost per lead is an input metric. Cost per enrolled student is the output metric.
Which channel actually gives training providers the lowest cost per green lead?
There's no single answer that holds across every vertical, and that's the part most agencies skip. Search tends to capture people already deciding between providers, which means higher intent but a smaller pool. Meta reaches people before they've started comparing, which means more volume but a heavier qualification burden upfront. The right split depends on course length, funding structure, and how far in advance students need to commit.
What doesn't change across channels is the need for a qualification framework applied before the platform algorithm optimises against you. DR runs this as a Green/Amber/Red system: Green leads meet funding, start-date, and entry criteria; Amber need a call to confirm; Red are browsers who should never have reached admissions. Feed the ad platform's algorithm signals based on who actually enrols, not on who filled out a form, and cost per lead starts moving in the right direction on its own.
What should a training provider owner actually be measuring?
Cost Per Green Lead, not cost per lead. The distinction matters because platforms optimise toward whatever conversion event you feed them. Feed Meta or Google "form submitted" as the goal, and it will find you more people who submit forms, regardless of whether they can start a cohort in six weeks. Feed it "enrolled," and the algorithm starts hunting for people who resemble your actual students.
This is also why benchmark screenshots showing a £5 CPL from another provider tell you almost nothing. Without knowing what event the campaign optimised for, and what percentage of those leads were Green versus Red, the number is decoration.
What does this mean for a provider still paying £150-plus per lead?
It means the fix probably isn't a new platform, a new agency, or a bigger budget. It's almost always the qualification layer sitting between the ad and the enrolment team. Elec Training's jump from £257 to £5.28 came from rebuilding that layer, not from spending more or switching channels. Most providers paying triple-digit CPLs are running education marketing built for a university, on a trade school's economics.