90 Discovery Calls Booked in 7 Months for Enterprise B2B Fintech

01The Challenge

Artha Fintech offers white-label fintech infrastructure to companies that want to launch financial products without building everything from scratch. The product was strong and the market need was real, but the way new business came in was unpredictable.

Almost all their pipeline depended on referrals, conference meetings, and inbound from Dealstream. These channels brought good deals, but they came in waves, with no steady flow the founder could count on month after month.

They wanted two things from us. A sales pipeline that produced qualified conversations on a predictable schedule, and a stronger personal brand for the founder on LinkedIn, so the right buyers would already know Artha before the first call.

The biggest bottleneck was targeting. Artha can only offer its full product to companies that hold a banking license. Without that license, a prospect can only use the crypto card piece, which is a much smaller deal.

So the real challenge was finding and reaching the companies that actually qualified, instead of burning outreach on prospects who could never become full customers.

• No outbound sales motion or cold email system in place
• Pipeline tied to events and referrals, which made forecasting hard
• The founder's LinkedIn presence was underused for a company in this space
• No way to filter prospects by banking license, so targeting was wide and unfocused

02Our Approach

We ran this as three connected services rather than separate campaigns. Cold email, LinkedIn outreach, and LinkedIn content all worked together, so visibility from the content fed warmth into the outreach, and the outreach fed the pipeline.

Solving the License Bottleneck

This was the core of the work. We scraped and built lists of companies around the world that hold a banking license, filtering by the exact license types that qualify a prospect for Artha's full product.

That meant targeting companies registered under the license categories that matter:

• EMI — Electronic Money Institution
• VARA — Virtual Asset Regulatory Authority registered
• VASP — Virtual Asset Service Provider
• MSB — Money Services Business

By filtering on license type before anything else, every prospect in the pipeline was a company that could actually buy the full offering, not just the crypto card.

ICP Definition & Prospect Research

We focused the targeting on Artha's strongest verticals. The main industries were fintech, neobanks, and crypto exchanges, with the sharpest focus on remittance platforms, since these matched Artha's cross-border use cases most closely.

Inside those companies, we targeted the decision makers who actually own this kind of buying decision:

• Founders, Co-Founders, CEOs, Owners, and Managing Directors
• VP Engineering, Engineering Director, Chief Architect, and VP Platform Engineering
• CTO and Head of Partnerships
• CFO, COO, CBO, Chief Revenue Officer, and Chief Commercial Officer
• Chief Strategy Officer and Chief Growth Officer

Every contact was checked against both the license filter and the role filter before it entered a campaign.

Email Infrastructure & Deliverability

We set up dedicated sending domains and inboxes, configured them properly, and warmed them before launch. This protected Artha's main domain and kept emails landing in the inbox instead of spam, holding a bounce rate under 2 percent across the engagement.

Outreach & Content Working Together

We wrote messaging around the operational problems Artha solves, not around the product itself. On LinkedIn, the founder's content followed an educational approach, leading with market insight on topics like stablecoin payment rails, cross-border payments, and fintech infrastructure. The outreach then reached the same audience that was already seeing this content.

• 24,000 leads contacted through cold email
• 2,700 leads contacted through LinkedIn outreach
• Educational LinkedIn content published consistently on the founder's profile
• All replies managed and meetings booked by the Creator Wings team

03Results

Over seven months, the engine produced steady, qualified conversations from a standing start. The pipeline no longer depended on the next conference or a warm introduction. It came in predictably, from outbound the client now owns.

The work split cleanly across both channels. Email booked 41 meetings with 31 show-ups. LinkedIn outreach and inbound booked 45 meetings with 34 show-ups.

The 77 percent show-up rate points to genuinely qualified prospects, not low-quality bookings that fall through. That is the license filter doing its job.

The founder's LinkedIn presence grew alongside the pipeline. The content reached 107,460 people and pulled 281,766 impressions, a 3,988 percent rise over the previous period.

Followers grew 74 percent, with 2,718 new followers joining. Posts earned 5,150 engagements, including 1,391 saves, which signals that buyers found the content useful enough to keep.

The strongest part is how the two sides fed each other. The growing brand brought in LinkedIn inbound leads, which lifted total positive replies to 170 across all channels. Outreach and visibility compounded instead of working alone.