How StoneHaven Built a $40M+ Capital Mandates Pipeline for a Boutique Capital Advisory Firm

The headline numbers

All over a 15-month program.

Company context

The client is a boutique capital advisory firm in North America, ~40 employees, working with institutional and corporate finance counterparties. The partners had real credibility and a strong network. What they did not have was a way to grow beyond it.

In capital advisory, origination is everything, and theirs ran entirely through relationships. That works until the calendar fills up. Then the network becomes the ceiling.

The challenge

Deal origination relied almost entirely on warm networks and intermediaries.

The partners were booking roughly 3 to 4 new institutional conversations per month, every one of them sourced by hand. Growth was capped by a hard limit: how many introductions the team could personally make. They needed both volume and precision, reaching fund managers, CFOs, and institutional allocators at scale without putting their primary domain at risk.

The cost was opportunity. Every month the partners spent chasing introductions was a month they were not in front of the larger allocators who write bigger mandates.

The process

StoneHaven built an institutional outbound engine in five layers. Each one lifted a specific ceiling that warm networks alone could not.

1. Infrastructure at scale. StoneHaven stood up 40+ dedicated sending domains and 200+ warmed inboxes with full SPF, DKIM, and DMARC authentication, and isolated the firm's primary domain completely from outbound. The system sustained 100K+ sends per month while holding bounce at 0.38% and spam-complaint rate under 0.05%.

2. Targeting and data. StoneHaven built a TAM of 28,000+ accounts across PE and VC funds, family offices, and corporate finance teams, enriched by fund type, AUM band, and region. The ICP was then narrowed to roughly 9,400 high-fit contacts so volume went only to the right people.

3. Mandate-specific personalization. Each campaign tied its messaging to a specific investment thesis, risk profile, and historical performance. Allocators saw relevance instead of a blast, which is what earns a reply in a market where everyone is pitched constantly.

4. Sequencing. Five-step multivariate sequences ran A/B-tested subject lines and angles, with a capital-matching workflow that routed only high-alignment replies to the partners. The partners spent their time on conversations worth having.

5. Reporting loop. Weekly performance reviews kept the engine sharp. Losing angles were cut quickly and winners were scaled, so the program got more efficient month over month.

The results

The engine turned origination from a relationship bottleneck into a repeatable, forecastable motion.

• StoneHaven secured $40M+ in capital mandate pipeline over 15 months.
• 95+ qualified institutional and corporate finance opportunities entered the pipeline.
• Average mandate size grew 2.3×, from $2.3M to $5.4M, as targeting sharpened toward larger allocators.
• Net-new conversations went from roughly 4 per month to 6 to 8 per week.

The performance behind those outcomes:

Beyond the numbers

The real change was the source of growth. The firm stopped depending on how many introductions the partners could personally make and started running a system that produced qualified institutional conversations every week.

The 2.3× jump in average mandate size is the part that matters most. The engine did not just create more conversations, it consistently reached bigger allocators than warm intros ever surfaced, moving average mandates from $2.3M to $5.4M. Going from 4 conversations a month to 6 to 8 a week changed what the partners could plan for.

Methodology and data note

The figures here come from real client program data over a 15-month period, anonymized for confidentiality. Pipeline, mandate size, and engagement metrics reflect actual results from a program sustaining 100,000+ emails per month. The client is kept anonymous at their request; the firmographic details (sector, size band, region) are accurate and unchanged.

FAQ

How long did this take?

The program ran 15 months. Pipeline built steadily over that window, reaching $40M+ in mandates and 95+ qualified opportunities, while average mandate size climbed as targeting sharpened.

How do you send 100K+ emails a month without hurting the firm's reputation?

By isolating the primary domain entirely from outbound. StoneHaven sent from 40+ dedicated, fully authenticated domains across 200+ warmed inboxes, which held bounce at 0.38% and spam complaints under 0.05% at full volume.

Does cold outbound work for capital advisory and institutional finance?

Yes, when it is precise. The TAM covered 28,000+ accounts (PE and VC funds, family offices, corporate finance teams) narrowed to roughly 9,400 high-fit contacts, with messaging tied to a specific investment thesis and risk profile. Relevance is what makes allocators reply.

What drove the 2.3× increase in mandate size?

Reaching larger allocators. As targeting concentrated on bigger funds and family offices, average mandate size rose from $2.3M to $5.4M, rather than relying on the introductions that had capped deal size before.

What does a setup like this involve?

A dedicated sending infrastructure isolated from the primary domain, an enriched TAM (here, 28,000+ accounts refined to about 9,400 contacts), mandate-specific personalization, multivariate sequencing with a reply-routing workflow, and a weekly optimization loop. Scope scales with TAM size and sending volume.