From 18 hours of weekly meetings to zero.
A well-known mid-tier centralized exchange was running KOL campaigns across multiple regions. Every week, marketing needed to ask engineering the same questions. With Lucia, those questions answer themselves.
The Problem
This exchange uses KOL messaging across multiple regions. Some KOLs drive lead-magnet form fills. Others drive direct signups. But with no established pipeline between marketing and IT, the same five questions — how many form fills, how many signups, did anyone link a bank account, did anyone start trading, which KOL drove which action — required a recurring cross-team meeting to answer.
That meeting consumed roughly 18 person-hours per week across a 9-person team (4 marketing + 5 engineering). Every single week.
The Context
This isn't a scrappy startup. This is a mid-tier exchange with substantial trade volume, its own corporate VC arm, and an active pitch competition program. They had MixPanel. They had Hotjar. The tools existed. But seeing data alone doesn't move the company forward. Knowing which decisions are winning decisions does.
Think of Lucia less as an analytics platform and more as a RevOps and GTM growth enhancer — built developer-first, so the exact questions marketing asks IT are answered automatically, without IT.
81 is a starting point, not a verdict.
When the manager heard the number he said it was too low. The instinct is to blame the KOL. But you can't tell a creator to be “funnier” if that's not their brand — and that's not the problem anyway. The right move is to run the diagnostic: every weak result has a specific cause, and each metric in the funnel points to exactly where the breakdown happened.
| Metric | What it reveals | If low, it means… |
|---|---|---|
| Impressions | Did enough people see it? | Distribution was too narrow — wrong audience or too few posts |
| Clicks | Was the post compelling enough to drive action? | The content didn't earn the click — weak hook or poor creative |
| CTR | Was the hook strong relative to reach? | The call-to-action was buried or absent |
| Landing page conversion | Was your form or offer persuasive? | The offer didn't match the audience's intent |
| Signup quality | Were they useful leads or junk? | Wrong audience reached, or incentive attracted non-buyers |
| Cost per signup | Is the channel efficient at volume? | N/A — high is the problem; means CAC is unsustainable |
| Cost per qualified lead | What's the real unit economics? | N/A — this is the number that matters most to the manager |
“One post is not a campaign. It's a lottery ticket.”
The diagnosis revealed the campaign structure was the problem, not the KOL. A single post has one shot to reach the right person at the right moment. A campaign system compounds across touchpoints. The fix was to redesign the package.
Minimum package
Per KOL · Per campaign
| Asset | Purpose |
|---|---|
| Main X post | Awareness |
| Quote tweet 24 hours later | Second exposure |
| Reply under original post | Push link again |
| Pinned post for 48–72 hours | Capture profile visits |
| Telegram/Discord mention | Higher-intent conversion |
| Short video or screen recording | Trust and explanation |
| Follow-up "results" post | Social proof |
The real play
You should not “micromanage” the KOL's personality. You should control the campaign system:
- 1Hook
- 2Offer
- 3CTA
- 4Posting cadence
- 5Tracking
- 6Incentives
- 7Follow-up
If they cannot operate inside that system, cut them.
The biggest mistake is blaming the KOL without knowing whether your offer converts. The second biggest mistake is letting them run vague awareness posts and calling that distribution.
Beyond Attribution
After implementing Lucia, this exchange leveraged one of our most unique AI features: per-creative KOL portfolio rebalancing. Every link is scored by what happened after the click — not the impression. Which KOLs to drop, which to double. Automated, weekly.
Regulatory Complexity
This exchange also navigated a significant regulatory shift in one of its primary operating regions. Rather than attempt a single expensive licensing process, they restructured into three entities — MENA, Latin America, and a parent company — operating across West Africa and LATAM. Lucia's multi-entity attribution model tracked campaign performance across all three footprints from day one.
Ready to close the attribution gap?
See how Lucia wires your KOL campaigns directly to revenue events — no SQL, no recurring meetings, no guesswork.