MARKETPLACES & EDUCATION Case study 13 · 5 min read Construction Certification & Education · B2B

Case study 13

90% of qualified leads had a lifetime value near zero. Reactivating a third of them created $24,000 in LTV each.

Marketplace Lifecycle

A quiet, under-the-radar business: a fully custom online training marketplace, something like an OpenClassrooms for the construction industry, working directly with public certification bodies to help building professionals prepare for the exams they need to keep their credentials current. The platform doesn't issue anything itself, it just gets people trained and ready. Around $14 million a year in revenue, a tiny team, 40% margin, and acquisition running entirely on backlinks with a handful of industry authorities. There was no mailing system at all, no activation strategy, and no notion of LTV or of what a single email was actually worth.

Before

A fully custom platform with no mailing system and no activation strategy in place

Leads were well qualified, but around 90% of them ended up with a lifetime value close to zero

Total dependence on backlink-driven acquisition, with nothing else measured

No sense anywhere in the business of LTV, or of what a single email sent was worth

After

New leads sorted into cohorts by their likely LTV, so reactivation work could target the right people first

About 26% of new leads activated on arrival, meaning they started their first training module

Roughly 31% of the previously dead 90% converted into paying, activated customers

Around $560 in value per email sent and about $24,000 in LTV per activated user, with zero acquisition budget spent to get there

Sorting leads by what they were actually worth

Splitting the base into cohorts by LTV surfaced the real problem fast: about 90% of leads sat at close to zero lifetime value, not because they were bad leads, they were qualified, but because nothing after signup ever pushed them to actually start.

Reactivation, not more acquisition

No acquisition budget got spent on this at all. The entire fix ran on the leads already coming in through backlinks, just handled properly from the moment they arrived instead of being left to convert or not on their own.

Content and timing, matched to each cohort

Reactivation ran through content and campaigns timed by AI around each cohort's own behavior, rather than a single generic sequence sent to everyone at the same point after signup.

A quiet business finally measuring itself

Before this, there wasn't much to measure because almost nothing had been tracked. Building a real lifecycle motion, activation rates, cohort LTV, value per email, gave the business its first actual view of what its own marketing was doing.

new-lead activation rate~26%
leads at near-zero LTV, before~90%
that dead segment, reactivated~31%
LTV per activated user~$24,000

Nothing was wrong with the leads. Nothing was catching them once they arrived.

31% of 90% works out to roughly 28% of the entire lead base converted from close to zero value to about $24,000 in lifetime value each (0.31 × 0.90 ≈ 0.28), typically realized over 2.5 to 3 years and paid for by the professional's own employer rather than out of pocket. Spread across that window, $24,000 works out to around $8,700 a year per reactivated user (24,000 ÷ 2.75). Turning that into one total dollar figure for the business needs the actual size of the lead pool, which wasn't part of what was shared, so it isn't guessed at here.

Still an open problem

Most of the dead 90% is still dead.

Reactivating 31% of a segment that was worth close to nothing is real progress, but it means roughly 69% of that group still hasn't been reached. The newest lever, a targeted ad campaign moving past pure ABM into broader awareness, is meant to push the activation rate further, with a first target of about 10 additional points and a plan to double that gain every quarter after. That's a plan, not a result yet, and it's only just getting started.

Client name withheld and identifying details generalized, per the engagement's NDA. The dates and numbers are real.

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