Case Study

From Broken Deliverability to 8,500 Daily Sends at 80%+ Open Rates

March 6, 20269 min read
From Broken Deliverability to 8,500 Daily Sends at 80%+ Open Rates


Haybeach Partners LLC is an innovative global liquidity solutions provider dedicated to helping clients understand, value, and monetize non-traditional financial assets (NTFAs). The firm’s core expertise spans a wide range of unconventional financial instruments, including bankruptcy and class-action claims, judgments, accounts receivable, litigation funding, private notes, and interests arising from insolvencies, class actions, frauds, litigation, and insurance liquidations.

Haybeach’s principals have successfully completed thousands of transactions representing billions in notional value across special situations around the world. With deep expertise in legal jurisdictions spanning North America, South America, the Caribbean, Europe, and Australia, the firm is uniquely positioned to help clients efficiently structure transactions tailored to their specific needs. Their go-to-market model relies on targeted cold email outreach to connect with the right counterparties, distressed asset holders, insolvency practitioners, litigation funders, and corporate treasurers, at precisely the right moment. The problem was not ambition or market opportunity. It was execution: their email infrastructure was broken, their platforms were disconnected, and the system was quietly failing them every day.

Haybeach had the leads, the tools, and the intent, but without proper email authentication and a unified pipeline, none of it was translating into real outreach.

THE CHALLENGE

When Haybeach came to us, the situation was more complex than a simple underperformance issue. Their outreach operation had several compounding problems that were reinforcing each other, and fixing one in isolation would not have been enough.

1. Critical Email Deliverability Failures

The most fundamental issue was that Haybeach's emails simply were not landing in inboxes. Without proper SPF, DKIM, and DMARC records configured, their sending domains had no authentication signals, causing major email providers to route their messages to spam folders or reject them outright. This meant that even when emails were technically sent, they were functionally invisible. No open rate, no reply, no pipeline.

  • Emails landing in spam or being silently rejected

  • No SPF record to authorise sending sources

  • Missing DKIM signatures to verify message integrity

  • No DMARC policy to govern domain-level authentication

2. No Structured Outreach Pipeline

Haybeach had leads, but no systematic way to move them through a sales process. There were no defined stages from first contact to qualified meeting, no follow-up sequences, and no logic governing when and how leads were engaged. Prospecting activity was ad hoc at best, meaning hot leads were falling through the cracks and the firm had no visibility into what was working.

  • No lead stage definitions or progression logic

  • Inconsistent follow-up sequences, or none at all

  • No tracking of prospect engagement or intent signals

  • Team had no clarity on which leads to prioritise

3. Fragmented Technology Stack

The firm was operating across multiple email delivery platforms but none of these tools were connected or working in concert. Data was siloed, actions taken in one platform weren't visible in another, and there was no single source of truth for campaign performance. This fragmentation created blind spots and duplication, and made it impossible to run coordinated multi-step sequences.

  • Multiple platform operating independently with no data sync

  • No unified view of campaign performance across tools

  • Manual duplication of work across platforms

  • Inconsistent data, same leads appearing in different states across tools

4. Volume Constraints Limiting Growth

Even setting aside the deliverability and pipeline issues, Haybeach was only sending fewer than 500 emails per day. For a firm with their ambitions and the volume of leads they had acquired, this was a severe growth constraint. At that scale, even a strong conversion rate would yield only a trickle of new meetings — nowhere near enough to meaningfully grow the practice.

  • Daily send volume capped at under 500 emails

  • No ramp-up plan or domain warming strategy in place

  • Existing lead database severely underutilised

  • No infrastructure in place to safely scale sending volume

OUR STRATEGY

Our approach was methodical and phased. We knew that attempting to scale volume before fixing the underlying infrastructure would only accelerate the damage to Haybeach's domain reputation. So we started at the foundation and built upward, technical fixes first, then platform unification, then campaign launch and scale.

Fix the foundation before scaling. Volume without deliverability is just noise, and noise damages your sender reputation permanently.

Phase 1: Technical Infrastructure Audit & Repair

Our first priority was to conduct a comprehensive audit of Haybeach's email infrastructure. We reviewed every sending domain, examined DNS records, checked blacklist statuses, and mapped all outbound sending sources. The findings were significant.

We then moved systematically through each fix:

  • Configured SPF records for all sending domains, specifying the exact mail servers and services authorised to send on Haybeach's behalf

  • Implemented DKIM signing, generating cryptographic key pairs and publishing public keys in DNS so that receiving servers could verify message authenticity

  • Set up DMARC policies with appropriate enforcement levels, starting with a monitoring-only policy and gradually tightening to quarantine and then reject as sender reputation improved

  • Cleaned up misaligned DNS records and resolved conflicts introduced by prior tool configurations

  • Checked all domains against major spam blacklists and initiated removal requests where necessary

These steps alone made an enormous difference. Once emails were properly authenticated, inbox placement rates rose sharply, and the platform was ready to scale.

Phase 2 : Platform Consolidation & Pipeline Design

With the technical foundation secured, we turned our attention to the operational layer. We conducted a thorough audit of how Haybeach was using multiple platform tools and redesigned the workflow from scratch.

  • Established the central CRM and source of truth for all contact records and pipeline stages

  • Integrated the outreach execution layer, with data flowing back after every touch.

  • Defined clear lead stages: Prospect → Contacted → Opened → Replied → Meeting Booked → Qualified.

  • Built automated follow-up sequences that triggered based on prospect behaviour (opens, clicks, replies).

  • Set up reporting dashboards in HubSpot so the Haybeach team had real-time visibility into campaign performance.

  • Eliminated redundant processes and tool overlaps that were causing data inconsistencies.

The result was a clean, coherent system where every lead had a defined status, every touchpoint was tracked, and the team always knew exactly what action to take next.

Phase 3: Campaign Design & Controlled Scale-Up

With a clean infrastructure and unified pipeline in place, we were ready to launch. But we approached the scale-up carefully, because ramping sending volume too quickly, even with good authentication, can still trigger spam filters and damage sender reputation.

  • Designed a structured domain warming schedule, increasing daily send volume in controlled increments over several weeks

  • Spread sending load across multiple domains and mailboxes to reduce per-domain volume and risk

  • Wrote and A/B tested email copy tailored to Haybeach’s NTFA specialisms, short, personalised, and focused on the specific financial situations their prospects were navigating

  • Configured sending windows aligned with recipient time zones and industry-specific engagement patterns

  • Set up bounce and complaint monitoring with automatic suppression to protect sender scores

  • Launched initial campaigns, tracking performance in real time and iterating quickly on subject lines and messaging

Throughout every phase, we kept Haybeach's team informed and involved building internal capability alongside the external infrastructure, so the firm could continue to manage and scale outreach independently after our engagement.

RESULTS & BUSINESS IMPACT



The transformation in Haybeach's outreach operation was dramatic. Within weeks of completing the technical fixes and launching the first campaigns, the numbers told a clear story.

Open Rate Performance

Achieving an 80%+ average open rate is exceptional by any measure. Industry benchmarks for cold email typically sit between 20–30% for well-optimised campaigns. Haybeach's results more than double even best-in-class benchmarks reflect a combination of factors: clean authentication signals, tight list hygiene, relevant personalised copy, and optimised sending patterns.

Critically, these are not inflated numbers from a tiny sample. These open rates were sustained at volume across thousands of sends per day, validating the integrity of the infrastructure and the quality of the campaign strategy.

Send Volume Transformation

Moving from fewer than 500 emails per day to 8,500 represents a 17x increase in outreach capacity achieved safely, without triggering spam filters or harming domain reputation. This was possible only because of the careful, phased ramp-up strategy and the robust technical foundation put in place before scaling began.

At 8,500 sends per day, Haybeach now has the volume necessary to generate a consistent, predictable flow of prospect engagement. Even at conservative conversion rates, this scale translates into meaningful new business activity every week.

Before vs. After Comparison

CONCLUSION

Haybeach's story is a powerful illustration of a problem that is far more common than most firms realise: having all the right ingredients for a successful outreach operation leads, tools, budget, intent but being held back by invisible technical failures and operational fragmentation.

The firm was not failing because of a lack of effort or investment. They were failing because the foundational layer of their email infrastructure was broken, and no amount of additional volume or messaging refinement would have fixed that. Without proper SPF, DKIM, and DMARC configuration, every email sent was fighting against itself and losing.

The lesson from Haybeach is clear: in cold email outreach, technical credibility is not optional. It is the price of admission.

What made this engagement successful was the decision to address root causes rather than symptoms. By auditing the infrastructure before touching the campaigns, we avoided the common mistake of scaling a broken system which would have deepened the damage and made recovery significantly harder.

The phased approach technical repair, platform unification, and then controlled scale-up gave Haybeach a sustainable foundation rather than a short-term spike. The results were not just impressive; they were repeatable and durable.

Key Takeaways

  • Email authentication (SPF, DKIM, DMARC) is not optional: it is the price of inbox placement

  • Fragmented tooling creates blind spots that compound over time; a unified stack is essential for consistent execution

  • Volume without infrastructure is counterproductive: scaling a broken system makes recovery harder, not easier

  • A controlled ramp-up strategy protects domain reputation and enables sustainable long-term growth

  • Existing leads and infrastructure have latent value that can be unlocked quickly with the right systems in place

For Haybeach, this engagement marked a turning point, from a stalled outreach function to a fully operational, high-performance cold email engine capable of driving consistent new business at scale. The firm now has the infrastructure, the pipeline, and the operational clarity to build on these results independently.

The foundation is in place. The pipeline is running. And the results are just beginning.

Confidential Case Study  •  Results may vary based on industry, list quality, and campaign configuration


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