How OutCheese built a scalable outbound engine for a fixed-income investment platform

Client Snapshot

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Investment Platform

Netherlands

Bondfish is a bond data analytics platform that helps investors analyze fixed-income markets, compare instruments, and make more informed allocation decisions through real-time data and screening tools

Goal

Validate ICPs in an emerging category, identify the most scalable acquisition channels, and build a repeatable outbound process for customer growth

Pain Points

  • Platform operates in a “blue ocean” environment where no traditional outbound playbooks exist

  • Lack of data as not all relevant investor groups and intermediaries expose clean corporate identifiers like domains or public contact details

Results

  • 40%+ open rate and 20%+ reply rate

  • 0.5% prospect-to-SQL conversion rate (onboardings)

  • 10+ SQLs generated monthly

  • Reduced SQL acquisition costs to approximately $250 per SQL (2.5x cheaper compared to other paid channels)

What Made Our Approach Work

Additional Data Sourcing Layers

Besides basic SalesNavigator and industry events, we developed a custom sourcing workflow using official licensing and regulatory registers

Engagement-Based Framework

Given the product and market specifics, we segmented prospects based on their level of engagement in order to improve conversion rates

Multi-Channel Strategy

Due to lack of corporate info we have enriched prospects with alternative contact details like personal emails, WhatsApp and Telegram to set up campaigns across these channels as well

ICP We Chose (and Why)

01

Family Offices

02

Portfolio Managers
& Wealth Advisory Firms

03

Boutique Investment Funds
& Private Capital Managers

Why:

These segments have direct influence over capital allocation and continuous need for fixed-income exposure

Value Proposition:

  • Advanced bond screening with broker availability filtering

  • Risk and return analysis

  • European Tax Yield Calculator

Buying Intent Signals

  • Vertical fit: business operating in a Low-Risk vertical Noda's payment platform supports

  • Local market activity: active sales presence or domain footprint in Estonia, Lithuania, or Latvia

  • Online transaction volume: evidence of meaningful payment flow worth integrating a new payment partner

  • Decision-maker accessibility: founder, CFO, or payment lead reachable via LinkedIn or email

Messaging Strategy

The market required education before demand capture, so we built a structured prospect journey rather than relying on direct sales outreach

Prospects were guided through Awareness → Consideration → Acquisition stages using educational content, including branded articles and videos that introduced both fixed-income opportunities and the platform's capabilities

Each stage was supported by tailored messaging designed to move prospects toward the next level of engagement. Engagement signals were tracked through a HubSpot-based scoring system, automatically advancing prospects through relevant outreach workflows based on their interest

This approach created a more natural onboarding experience and proved highly effective for product-led outbound campaigns in an emerging market

Key Takeaways

Proprietary data sourcing can become a competitive acquisition advantage

Multi-channel engagement is critical when decision-makers operate across fragmented ecosystems

Structured engagement-based journeys outperform direct sales approaches when market awareness is low

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