A repeatable acquisition motion for the supply side of the Mintos marketplace. Loan originators across the EU, Indonesia, and South Asia. Bond issuers and real-estate originators across Europe. Signal-led targeting, run across four coordinated channels. We do not sell Mintos a tool; we build the supply-side pipeline.
Lenders already listed on competing loan marketplaces are the fastest and cheapest signal in the entire play. Their rosters are public. Competing marketplaces have already vetted these lenders for the exact criteria Mintos onboards on: a real loan book, audited financials, and enough scale to matter. Scraping those rosters gives us a pre-qualified target list Mintos can assemble in a week.
We are not selling a product. We are opening a funding channel conversation with a CFO or Head of Funding who is actively looking for capital. That conversation is welcome at C-level, unlike a product pitch. It is why cold calling Tier 1 works here in a way it does not for most B2B SaaS.
Alternative and fintech lenders that originate their own loans (consumer, SME, BNPL, car, invoice) and want to fund the book faster than their balance sheet allows.
Companies that want to raise debt capital by issuing bonds distributed to Mintos’s retail investor base. Sits below the size or speed traditional bond markets serve well.
Real estate companies, developers, and property originators with projects or income-producing assets needing capital.
| Segment | Universe | Onboardable subset [EST] | How to count it |
|---|---|---|---|
| Already on competing EU marketplaces | ~15–20 platforms × 10–60 originators each | ~200–350 unique | Scrape originator pages |
| Indonesia — OJK-licensed fintech lenders | ~95 (finite; new licenses paused) | ~40–70 | OJK public directory |
| South Asia fintech lenders (India-led) | hundreds | ~200–400 | RBI / NBFC + fintech lists |
| EU non-bank / fintech lenders (off-marketplace) | thousands | ~300–800 | Funding databases, national registers |
| Signal | What we track it on | Sharpness |
|---|---|---|
| Already listed on a competing loan marketplace | PeerBerry, Lendermarket, Esketit, Debitum, Income, Twino, Robocash, Bondora scrapes | Sharpest |
| CFO / Head of Funding / CEO follows competitor marketplaces on LinkedIn (2+ overlap = watching the space) | LinkedIn Sales Navigator + follower scrape on competitor company pages, filtered by title + company type (alt/fintech lender) | High |
| Fresh equity raise (Seed – Series B) | Funding databases + fintech press (DealStreetAsia, e27, Tech in Asia, Inc42, YourStory, Sifted, Fintech Global) | High |
| Hiring Head of Funding / Treasury / Debt Capital Markets | LinkedIn, job boards | High |
| New lending license / new-market entry | OJK (Indonesia), RBI/NBFC (India), EU national registers | High |
| Loan-book / origination growth milestone | News, company announcements | Medium |
| New loan product launch (SME, BNPL, auto) | News, changelogs, site changes | Medium |
| Audited financials / credit rating obtained | Company filings, rating agencies | Medium |
Track competitor rosters, licensed lender directories, funding events, and hiring signals continuously. Every trigger enriches an account, surfaces the C-level buyer, and routes into the coordinated multi-touch sequence with the right opening angle.
CEO or CFO connects with CEO or CFO. Not a job-title spray. Signal-relevant, one line, peer language. The initial pattern-break that gets the email opened.
Signal-led first lines. Carries Tier 1 and Tier 2. Human-reviewed, three-touch cadences, verified deliverability. Passes the RevSculpt Inbox gate before every launch.
A funding conversation is high-value and peer-to-peer at CEO / CFO / Head of Funding level. It lands where a product pitch never would. Only for Tier 1 with a live signal; source direct dials during enrichment.
Education-led angle. Calls reserved for repliers. Longer sequences with more market context, because these lenders are new to the marketplace-funding model.
Automated light-touch. Zero senior attention. When a Tier 3 account clears the bar (audited accounts, new license), they move to Tier 2 automatically.
Assemble the Tier 1 hot list: scrape competitor rosters (PeerBerry, Lendermarket, Esketit, Debitum, Income, Twino, Robocash, Bondora), pull the OJK directory, dedupe against Mintos’s current lenders. Enrich company + CEO / CFO / Head of Funding + email + direct dial. Stand up email + LinkedIn infrastructure.
Launch LinkedIn + email + cold calling on the Tier 1 hot list. Signal-led sequencing, coordinated across all three channels. First funding conversations land in weeks 3–4. Iterate on copy and opening angles based on reply-rate data.
Open Indonesia and South Asia with an education-led angle on the marketplace-funding model. Layer in ICP #2 (bond issuers) and ICP #3 (real estate originators) once Mintos’s bond mechanics and RE structure are confirmed. Same motion, wider surface area.
Double down on the signals and sub-segments producing the most funding conversations. Move Tier 3 into automated evergreen sequences. Weekly cadence with Mintos BD on which sub-segments are converting to onboarded, and rebalance the engine every month.
The number that matters to Mintos’s marketplace. Reported per tier and per signal so budget flows to what actually onboards.
Weekly count of first funding conversations landed with a CEO / CFO / Head of Funding. Cut by tier, signal, and geo. This is what tells us the engine is working weeks before an onboarding shows up.
Two motions we run per demand, not always-on. Turn them on when they will pay back, off when they will not.