I am Thomas Blanc, a crypto growth marketer since 2019. At SwissBorg I owned the GTM that did $1M in deposits the first week, and gamification mechanics that added $300K incremental revenue in 3 months. At Galactica I grew a community from 2K to 2M organically, zero paid spend. I co-founded Mithril, a crypto product that did $400M in volume in 6 months, bootstrapped.
I pair that senior B2C operator's judgment with an AI-native workflow. Translation: content adapted per audience instead of one generic blast, experimentation cycles measured in hours, deeper analysis per week. I remain the operator. The tools are leverage, not substitutes.
Mercuryo has the hard part already done. The On-Ramp API lives inside MetaMask, Trust Wallet, Ledger, 1inch, PancakeSwap, Bybit, Bitget Wallet, Tonkeeper and 500+ other wallets and apps. That is distribution you cannot buy on ads. The Spend card with Mastercard is the B2C shift. Mercuryo Pay is the next leg. The B2C marketing seat is wide open at exactly the moment where the engine behind it is ready.
Two things make this specific for me. I live in Limassol. Your Limassol office handles EU licensing, compliance and BD. If it helps, I can walk in. Second, I spent my SwissBorg years inside a regulated EU crypto operator and I track MiCA, PSAN and CASP rollouts as a native French-speaking EU crypto user. I bring the regulatory instincts that a B2C brand needs when it goes live across the EU.
This is not a generic "any crypto exchange" pitch. Mercuryo is the rare company where B2B infrastructure gives oxygen to a B2C brand play, the product mix covers the whole daily-use crypto experience, and the EU regulatory moat is real. That is the kind of place where I want to spend the next 3 to 5 years.
SwissBorg: $1M in deposits week 1 on a product GTM I owned end-to-end. Gamification mechanics that added $300K incremental revenue in 3 months with zero paid. A reactivation campaign with 2.8x lift from 4-variant segmentation.
I run 5 tailored copy variants per segment instead of 1 generic blast. I iterate on creative in hours, not weeks. I go deeper on cohort and funnel analysis every week. My senior B2C instincts pick the hypothesis and the angle. AI removes the grunt work, not the judgment.
I have run it all: SwissBorg GTM launches, Galactica 2K to 2M community organically, Mithril co-founder with $400M in volume in 6 months. I do not need a handoff to ship. Strategy, creative, copy, measurement, iteration.
You're looking for hands-on fluency with AI as part of a daily workflow. Here is what that buys you in outcomes, not tool names. Every hypothesis, every brief, every final sign-off still comes from me. AI removes the bottlenecks between idea and shipped asset.
Each segment, market and channel gets its own voice. Where a solo marketer would ship 1 blast for all, I ship 5 variants tailored to the segment's stage, motivation and language. I still write the brief and the voice. Automation handles the variance, I handle the quality bar.
From hypothesis to live experiment in hours instead of weeks. Automated creative variations, instrumented from day one, read with cohort depth. I pick the hypothesis and read the results. The speed is how I win on iteration count versus bigger teams.
Cohort deep-dives, funnel attribution, competitor teardowns, user research synthesis happen in a fraction of the time. I read every chart myself and own the next bet. The win is that I spend my week on judgment calls, not on fighting SQL or decks.
Every requirement you listed, mapped to concrete proof from my track record.
This plan is a hypothesis, not a contract. It assumes things I cannot know from the outside. Senior means saying what I do not know. Three specific unknowns would make me re-order the priorities:
First slot with my direct manager: align on their top priority, their top blocker, what they need from me in the first month, and who they want me to meet in what order.
Then 30-minute slots with the people my manager lines up, typically Product, Support, Compliance, and Marketing peers. Same 5 questions to each: top priority, top blocker, favorite metric, dreaded metric, last win. CEO and cross-functional leads come later, on my manager's timing, not mine.
Goal: map the deltas between how each stakeholder defines "growth", then bring that map back to my manager.
Deliverable: Intro notes doc for my managerFull access to Amplitude, Mixpanel, GA4, Braze, Stripe or on-chain payment data, KYC dashboards. Read last 6 months of weekly reports. Read last 3 launch postmortems.
Full B2C funnel from first touch to retained user: acquisition to signup to KYC to first buy to first repeat to retained to dormant to reactivated. Identify the top 3 drop-offs by absolute volume and by value at risk.
Output format: one chart per stage, value of prize, rough ICE score, proposed intervention.
Deliverable: Funnel diagnosis deck, top 3 drop-offs quantifiedFull audit of Ramp, Transak, MoonPay, Onramper, Kado on 7 dimensions: positioning, acquisition channels, lifecycle, pricing, UX, content, social presence. Combine SimilarWeb, Ahrefs and manual walkthroughs.
Goal: one actionable insight per competitor, and one "parity play" plus one "differentiation play" for Mercuryo.
Deliverable: Competitor teardown deckPrioritize levers with ICE scoring (Impact, Confidence, Ease). Pick top 3 for next 90 days. Draft week 2 shipping plan with explicit hypothesis and success metric per item.
Share the draft with my manager by end of day 5 so week 2 starts with alignment, not debate.
Deliverable: Week 1 synthesis, week 2 planShip one campaign targeting the top drop-off from day 3. My default first bet: KYC drop-off reactivation, 4-variant segmented email plus push sequence (same playbook that hit 2.8x lift at SwissBorg). Live by end of day.
Instrumented from day one: segment, variant, lift vs control, cohort read at 7 and 14 days. No "we shipped it" without "and here is how we measure it".
Deliverable: Campaign shipped, instrumentedSet up the AI-native marketing ops inside Mercuryo's existing stack. Write 3 reusable workflows: campaign brief to copy variants, copy to short-form video, weekly data export to exec summary memo.
Every workflow documented with a readme so the team can use, fork or kill it without depending on me. My rule: anything I automate is reviewable by a human before shipping.
Deliverable: AI ops runbook shared with teamDraft Mercuryo's US B2C angle. Test 3 positioning statements against ICP interviews (5 US crypto users, 3 non-users considering). Go or kill decision ready for team review by end of day.
Output: a one-page memo with the chosen angle, the runner-up, and the evidence for the pick. Not a deck, a memo.
Deliverable: US positioning memo, go or kill recommendationCodify the launch framework I will use for the next product or feature launch. A 1-page canvas with 8 cells + 1 core: ICP, positioning, channels, creative brief, lifecycle, measurement, rollback plan, post-mortem template, and the one non-negotiable outcome.
Reusable by anyone in the team for their next launch without me in the room.
Deliverable: GTM Launch Canvas v1Present week 1 findings, week 2 shipped work, and a prioritized 90-day roadmap to my manager first. Format: one slide per initiative, ICE score, owner, KPI, confidence. We align, cut, sharpen, then my manager decides when and how we bring it up to leadership.
North Star I'd propose (subject to baseline review): weekly active B2C buyers (anyone who completes a fiat-to-crypto buy or a Spend card transaction in-week via Mercuryo's direct channels). 3 lead metrics: activation rate (signup to first buy), D30 retention, ARPU per buyer. No single vanity metric. If all three move, the North Star moves. Target ranges at 90 days depend on the baseline I'll see in week 1 data; the ambition is double-digit lift on activation and measurable retention compounding.
End of day 10: we are aligned, instrumented, the first campaign is already measuring, and my manager has a tool they can use to defend the team's priorities upward without me in the room.
Deliverable: 90-day roadmap deck, reviewed with my manager