Who your hot leads are — and how we pull them from the data.
The first two reports looked inward at Brighty — at your team and your hiring. This one looks outward: who Brighty's next customer is, and where they already sit in the professional graph. Working as business analysts, we built 8 buyer personas across four lines of demand. Each persona passes two tests: (1) it's a genuinely likely Brighty user — with the reasoning why; (2) it can be found in our data — which we verified against the live base rather than assuming. At the end: a recommendation on which ICPs to extract first.
8/8
personas verified against the base
1.17B
profiles in the base — graph depth ready for extraction
consulting-grade research · prepared 2026-06-28 · MEASURED · Outricher data · phase 1 (personas + ICP), phase 2 — extraction for the chosen ones
Datasets in this report
For the personas below we've already assembled ready datasets — sampling, enrichment, scoring and segments. Jump to the dataset you need or request the full one; the breakdown of each persona follows further down the report.
P1
Refugees from competitor crypto-cards
Employees of Crypto.com / Nexo / Bitstamp / Wirex inside Brighty's market zone — already carrying a rival crypto-card.
5,353 foundsample 929 · avg 116 fields294 hot A+/A13 segments
P2
Fintech early adopters (neobanks)
Employees of Revolut / N26 / Monzo / Vivid — early adopters of new money apps; Revolut = a warm channel.
21,405 foundsample 971 · 55% email396 hot A+/A9 segments
P3
Crypto earners in the EU
People already earning income in crypto, inside Brighty's market zone — plus founders / C-level among them.
4,238 foundsample 1,052 · avg 78 fields420 hot64 founders / C-level
P5
EU diaspora professionals
Studied in a source country (RU/UA/IN/CN/TR/BY/KZ), now professionals in the EU — cross-border, multi-currency life. Career analysis by education.
hundreds of thousands in the poolsample 600 · avg 119 fields307 hot7 source countries
P6
Relocators from CIS IT / crypto
Left a CIS tech / crypto employer for the EU after 2022 — recently arrived, acute need for an IBAN. Career analysis by prior employer.
~13,400 in the poolsample 934 · 48% email582 hot64 founders / C-level
P7
Web3-gaming / creator studios
Staff at EU GameFi / NFT / creator studios (Sorare, The Sandbox, OpenSea…). Two pitches in one company: business account (B2B) + For Creators (B2C). A company set.
~1,200 across 9 studiossample 607 · 51% email232 hot14 B2B + 39 creators
P8
Shariah audience (partner network)
Brighty's partner ecosystem (a public alliance with HAQQ) + Islamic neobanks and banks across the EU and the Gulf. A channel backed by a real partnership. A company set + overlay.
1,007 in the sample45% email · 107 fields479 hot214 EU/UK · 34 core
01Summary for the founder
If you read only one section — read this. Six takeaways, each expanded below.
- Brighty has four sources of hot demand, not one. Displacing competitors · people with crypto income · migrants and relocators · B2B. For each one we can raise a named list from our base.
- The hottest and most cost-efficient lead is competitors' users. They already carry another brand's crypto-card and understand the category. In the EU alone we see 5,353 current employees of crypto-card competitors and 21,405 at neobanks. This is the lowest-cost channel to source: a precise company filter.
- The largest audience is people with crypto income in the EU. They're paid in crypto / stablecoins and live in Europe → they need exactly Brighty's spend rail (card + IBAN + earn). Across 9 named crypto companies — 4,238 current EU employees; across 20 known EU crypto firms — 6,501 (+53%); across the full company set — many times more.
- Migration is an underrated line and our strongest differentiator. Diaspora and recent relocators live cross-border by default: transfers home, multi-currency, crypto as a channel. We surface them through career analysis (country of education, prior employer, year of move) — the kind a founder can't assemble alone.
- B2B delivers the highest LTV. Founders and finance chiefs at early EU crypto companies are direct buyers of Brighty Business. We find them with the same company + title filter — the dataset is already ready: the B2B buyers report.
- Brighty's own connections are ready-made warm channels. A CTO from a major neobank → their alumni network; the partnership with the Shariah ecosystem → its members. These aren't cold lists but leads with shared context.
How to read this. Every figure below is current employees (per our data) as of the verification date. Where we show a sample from a few companies, we flag it: the real pool is wider. Where a persona is built through complex career analysis, we proved the pattern exists with live examples rather than an eyeball estimate.
02How we reasoned: two tests for every persona
A buyer persona is only worth building if both conditions hold. Many "perfect ICPs" fail on the second.
TEST A · BUSINESS LOGIC
Is this a genuine Brighty customer?
tied to a specific feature and pain, not "looks like a crypto person"
Questiondoes this person have a pain that Brighty specifically solves — a no-fee card, an IBAN in EUR/USD/GBP, earn without DeFi babysitting, instant conversion?
Geo gateBrighty operates in the EU/EEA + Switzerland/Andorra/Montenegro. Every B2C persona is strictly limited to these markets — a lead outside the product zone isn't a lead.
TEST B · FINDABILITY
Can we pull them from the data?
this is our strength — and here the personas split into two types
Strategy Acompany anchor. A "current employees of company X" filter — the most direct, fast and precise path. This is how we find competitors' users, crypto earners, B2B founders.
Strategy Bcareer analysis. Country of education, prior employer, year of relocation. More expensive, but exactly the analytics a founder doesn't own — our differentiator for the migration personas.
Why this is honest. We don't invent an audience "that could exist." We take a real product pain, translate it into a signal that exists in the data, and verify the volume against the live base. A persona without findability is marketing fantasy; a persona without business logic is just a list. We need both.
03Demand map: four lines
The eight personas group into four families. Different families mean a different message, a different cost to source, a different temperature.
I
Displacing competitors — already carrying a rival crypto-card / neobank · P1–P2
II
Crypto income — earn crypto, need a spend rail · P3 + B2B upsell
III
Migration — diaspora and relocators, cross-border by default · P5–P6
IV
Niches and connections — web3 studios, the partner's Shariah network · P7–P8
| # | Persona | Family | Strategy | Volume (verified) | Priority |
|---|
| P1 | Refugee from a competitor crypto-card | I · displacement | A · by company | 5,353 in the EU | A |
| P2 | Fintech early adopter | I · displacement | A · by company | 21,405 in the EU | A |
| P3 | Crypto earner in the EU | II · crypto income | A · company set | 4,238 (9 EU firms) | A+ |
| B2B | Crypto founder (Brighty Business) | II · B2B | A · company + title | 64 founders / C-level | A+ |
| P5 | EU diaspora professional | III · migration | B · career analysis | pattern confirmed | A |
| P6 | CIS IT / crypto relocator (2022+) | III · migration | B · career analysis | pattern confirmed | A |
| P7 | Web3-gaming / creator studio | IV · B2B niche | A · company set | same method as P3 | B |
| P8 | Shariah audience (partner network) | IV · connection | A + diaspora | ~97 at the core, wider via overlay | B |
04Family I — Displacing competitors
The warmest lead is someone already living in the category. These people don't need convincing that a "crypto-card" makes sense at all; they need convincing that Brighty is better than the one they already have.
P1 · FAMILY I · STRATEGY A
Refugee from a competitor crypto-card
5,353 in the EUA
"already carries another brand's crypto-card — knows the category, wants a better home"
Why a customerThese people already spend crypto with a card and put up with a competitor's friction: staking a token for cashback (Wirex), an over-complicated ecosystem (Crypto.com), a "borrow against collateral" model (Nexo). A no-fee Mastercard + an IBAN in EUR/USD/GBP + earn without a token is a direct upgrade pitch, not a from-scratch category explainer.
Signal in the datacurrent (or recent) employee of a rival crypto-card platform, resident of a market where Brighty operates
| ICP parameter | Value |
|---|
| Anchor companies | Crypto.com · Nexo · Bitstamp · Mercuryo · Wirex · Young Platform · Plutus · Bleap |
| Geo | EU/EEA + CH/AD/ME (product zone) |
| Title | all roles (everyone here knows the category); priority to product / growth / ops / support — those who feel the UX pain |
| Tenure | current (warm) + left in the last 24 months (warm-ish) |
★ Verified: 5,353 current employees across 8 anchors, EU residents. This is the most cost-efficient and precise pool — a clean company filter.
→ See the P1 dataset in detail (929 enriched, scoring, segments, dataset).
P2 · FAMILY I · STRATEGY A
Fintech early adopter
21,405 in the EUA
"works at an EU neobank — installs every new money app on release day"
Why a customerA neobank employee is the textbook early adopter of a new financial app: they already live in IBANs, cards and instant transfers and evaluate competitors professionally. On top of that, Brighty's CTO comes from a major neobank, so that neobank's alumni network is a warm, credible channel.
Signal in the datacurrent employee of an EU neobank, resident of the product zone
| ICP parameter | Value |
|---|
| Anchor companies | Revolut · N26 · Monzo · Vivid |
| Geo | EU/EEA + CH/AD/ME |
| Title | priority to product / growth / crypto-Web3 teams / treasury; lower priority legal / HR |
| Warm overlay | alumni of the CTO's parent neobank (shared context for the first touch) |
★ Verified: 21,405 current employees across 4 anchors, EU residents. A large pool; narrowed by title to the right temperature.
→ See the P2 dataset in detail (971 enriched, scoring, warm Revolut channel, dataset).
05Family II — Crypto income
If a person gets paid in crypto and lives in Europe, they face exactly the task Brighty solves every single month: turn a token into spendable euros without losing half a day to it.
P3 · FAMILY II · STRATEGY A (company set)
Crypto earner in the EU
A+ · the largest
"paid partly in crypto / stablecoins, lives in the EU — needs a spend-and-earn rail, not yet another exchange"
Why a customerAny employee of a crypto / Web3 company in the EU is regularly rewarded in tokens / stablecoins and hits Brighty's exact pain: convert to fiat, get a real IBAN, spend with a card and park idle stablecoins at ~10% APY without manual DeFi. This isn't "could be a customer" — it's a monthly scenario.
Signal in the datacurrent employee of a crypto / Web3 company, resident of the product zone
| ICP parameter | Value |
|---|
| Company set (sample) | Bitpanda · Ledger · Paysera · Taurus · Blockpit · Safe · Bitstamp · Mercuryo · Bit2Me |
| Expansion | the full set of EU crypto / Web3 companies — hundreds of firms; the sample only illustrates the method |
| Geo | EU/EEA + CH/AD/ME |
| Title | all employees — everyone here is crypto-native |
★ Verified: 9 named firms = 4,238 current EU employees; 20 known EU crypto firms = 6,501 extractable current EU employees (+53%); the full set (hundreds of firms) — many times more. This is your largest hot audience.
B2B · FAMILY II · STRATEGY A (company + title)
Crypto founder — a Brighty Business buyer
A+ · high LTV
"runs an early EU crypto company that needs a crypto + fiat business account"
Why a customerBrighty Business targets exactly this: companies dealing in digital assets that need onboarding, crypto + fiat payment operations, OTC, risk checks and corporate cards. A B2B account carries LTV many times a single B2C user's, and these founders are reachable and decide fast.
Signal in the datafounder / CEO / CFO / COO / Head of Finance at an early EU crypto / Web3 company
| ICP parameter | Value |
|---|
| Company set | EU crypto / Web3, size ≤ ~150 people (banking stack not yet cemented) |
| Title | founder · co-founder · CEO · CFO · COO · Head of Finance · Treasury · Operations Lead |
| Geo | EU/EEA + CH/AD/ME |
| Company size | 1–150 (decision still open) |
★ Verified and extracted: a subset of the P3 universe, filtered by leadership title —
64 founders / C-level. The most valuable lead per unit: one account = dozens of cards and steady volume.
→ See the B2B buyers report (a ready dataset of founders and C-level at EU crypto companies).
06Family III — Migration (our strongest differentiator)
A migrant and a relocator live cross-border by definition: transfers home, two currencies in hand, crypto as a way around banking friction. These are some of the most active crypto-wallet users — and exactly the people served by Brighty's multi-currency IBAN + card + instant transfers. We pull them through career analysis — the thing a founder can't assemble alone.
P5 · FAMILY III · STRATEGY B (career analysis)
EU diaspora professional
pattern confirmed
"studied in RU/UA/IN/CN/TR, now a professional in the EU — sends money home and juggles currencies"
Why a customerA cross-border, multi-currency life is the default mode for this group: remittances home, EUR + home currency in hand, crypto as a way around banking barriers. They're among the most active crypto-wallet users — and precisely the people served by Brighty's multi-currency IBAN + card + instant transfers.
Signal in the datacurrent EU resident whose education (or early career) is anchored to a source country
| ICP parameter | Value |
|---|
| Geo (current) | EU/EEA + CH/AD/ME |
| Origin signal | an institution from a source country (e.g. MIPT, MSU, IIT, universities in Kyiv / Istanbul / Beijing) OR early positions in {RU, UA, IN, CN, TR, BY, KZ} |
| Title | professional / tech / finance roles (income to remit) |
| Exclude | students, very junior |
★ Verified and extracted: graduates of Tsinghua / Skoltech / IIT / Kyiv Polytechnic in professional roles across DE/NL/CH/ES (Semrush, Volvo, Roche, and others).
→ See the P5 dataset in detail (600 enriched, 307 hot, balanced across 7 countries, dataset).
P6 · FAMILY III · STRATEGY B (career analysis + recency)
CIS IT / crypto relocator (after 2022)
pattern confirmed
"left a CIS IT / crypto employer for the EU after 2022 — recently arrived, needs a new IBAN, trusts crypto more than the queue at a local bank"
Why a customerA recent move is the sharpest trigger to switch banks: no local credit history, an urgent need for an IBAN, and many already hold crypto as the channel they moved money through. Brighty opens an account quickly and turns crypto into a spendable euro balance — closing both pains at once.
Signal in the dataa past position at a CIS tech / crypto employer + a current position in the product zone, started in 2022 or later
| ICP parameter | Value |
|---|
| Prior employers | Yandex · Tinkoff · Sberbank · VK · Ozon · Wildberries · Kaspersky · EPAM · Mail.ru + CIS crypto firms |
| Geo (current) | EU/EEA + CH/AD/ME |
| Recency | current position start year ≥ 2022 |
| Title | tech / product / data / finance (mobile, crypto-literate) |
★ Verified and extracted: ex-Yandex → Booking.com/TomTom (NL), ex-Kaspersky → Wrike (CY), ex-Sberbank → DE/ES, ex-Tinkoff → CY/PT — all with a 2022+ move.
→ See the P6 dataset in detail (934 enriched, 582 hot, 64 founders / C-level, dataset).
Why this line is our differentiator. P1–P3 and the B2B persona can in principle be assembled by hand if you know the company list. P5–P6 can't: they require reading each person's career trajectory (where they studied, where they left, when). That's exactly the analytics on top of the professional graph that clients come to us for. A founder can't build such a list alone.
07Family IV — Niches and connections
Two narrow but highly-grounded personas: one leans on the product format (creators + Business), the other on a partnership Brighty already has.
P7 · FAMILY IV · B2B NICHE · STRATEGY A
Web3-gaming / creator studio
B
"an EU GameFi / NFT / creator-tooling team that earns and pays in crypto"
Why a customerSuch studios live on crypto revenue and pay members / creators across borders — and Brighty has both a "For Creators" product and business accounts. The studio is a B2B account; its creators are B2C users. Two pitches, one company.
Signal in the dataemployee / founder of an EU GameFi / NFT / creator-economy company
| ICP parameter | Value |
|---|
| Company set | EU GameFi / NFT / creator-tooling |
| Geo | EU/EEA + CH/AD/ME |
| Title | founder · CEO · finance · ops · community · creator · partnerships |
★ Verified and extracted: Co-Founder/COO and Head of LiveOps at The Sandbox (FR), Head of Partnerships at Sorare (CH), teams at OpenSea/Rarible/Decentraland — crypto-native professionals at EU web3 studios.
→ See the P7 dataset in detail (607 enriched, 232 hot, 14 B2B + 39 creators, dataset).
P8 · FAMILY IV · CONNECTION · STRATEGY A + overlay
Shariah audience (partner network)
B
"inside an ecosystem Brighty is already partnered with — wants halal crypto-banking"
Why a customerBrighty has a public strategic alliance with a Shariah fintech ecosystem in Europe. That makes members of this network — plus the MENA Muslim diaspora in the EU — a uniquely warm and provable audience: a channel backed by a partnership, not a guess.
Signal in the dataa member of the partner ecosystem, or Shariah-finance + MENA-diaspora professionals in the EU
| ICP parameter | Value |
|---|
| Anchor companies | the partner ecosystem (core) + Shariah-finance companies |
| Overlay | MENA diaspora in the EU (P5 mechanics) |
| Geo | EU/EEA + markets connected by the partnership |
★ Verified and extracted: the HAQQ team (CMO, Head of BD — literally Brighty's partner) + EU/UK Islamic fintech (Wahed/BLME/Al Rayan/Nomo) + Gulf banks.
→ See the P8 dataset in detail (1,007 enriched, 479 hot, 214 in EU/UK, 34 core-partner, dataset).
08What's next: from personas to extraction
This is phase 1 — analysis and ICP. Phase 2 is extraction for the chosen personas: named lists of people with role, location, career and (where available) contacts, in the same format as your own team in reports 1–2.
01
We translated Brighty's business into demand — four lines, eight personas
Displacing competitors · crypto income · migration · B2B. Each persona is tied to a specific product feature and pain, not a generic "crypto person." ANALYZED
02
We proved findability against the live base — rather than assuming it
5,353 + 21,405 in the EU for competitors, 4,238 across 9 crypto firms, live examples of diaspora and relocators. Eight of eight personas verified. MEASURED
03
Next — extraction for the ICPs you choose — from persona to list
The same engine that assembled your own headcount raises customers for you. From "market analysis" to "a list to grow on." ACTIONABLE
Recommendation on where to start. Three personas give the best balance of "hot × cost-efficient to source":
•
P3 — crypto earner in the EU: the largest and most precise fit, highest intent.
•
P1 — refugee from a competitor's card: the most cost-efficient and precise (a clean company filter), category already understood.
•
P6 — recent relocator: the sharpest bank-switch trigger + a showcase of the career analysis you can't do yourself.
For B2B volume —
crypto founders (the B2B report) and
P7 (web3 studios).
Next step. Name 1–3 personas — we'll raise the extraction for them (volume agreed before launch) and hand over the lists in the same format as reports 1–2.