USE DATA! Private Capital Lags Modern Techniques
Is a Company that Uses Data for Product Sales Celebrated? Yes!
In Capital Transactions, the Capital is the Product – Use Basic Techniques for Optimal Outcomes
For much of the last cycle, private capital operated in a seller’s market. Liquidity was abundant, competition among capital providers was high, and many of the traditional disciplines of selling became optional. Transactions closed with limited outreach, minimal process control, and little need to understand why one counterparty engaged while another did not.
That market no longer exists.
Private capital has transitioned to a buyer’s market. Liquidity is constrained, decision thresholds are higher, diligence cycles are longer, and close rates have declined. Transactions now take materially more time and require meaningfully more counterparties to reach a successful outcome. While a small number of exceptional opportunities will always clear the market easily, most capital raises must now operate under normalized conditions rather than rely on scarcity-driven demand.
This shift has structural implications for how capital must be raised.
In low-liquidity environments, a successful transaction requires identifying a counterparty that is both strategically aligned and actively liquid. The probability that any single institution meets both criteria at a given moment is low. As a result, capital raising is no longer a point-in-time exercise; it is a probabilistic funnel.
Broad initial distribution is no longer optional. It is a mathematical requirement.
When liquidity was high, issuers could run narrow processes and still close. When liquidity is scarce, funnels must widen. More initial counterparties are required to compensate for higher attrition at every stage: mandate mismatch, timing constraints, internal allocation limits, and risk repricing.
The implication is straightforward. If distribution widens, engagement must be measured. Without measurement, issuers cannot distinguish between lack of interest, lack of relevance, or lack of visibility.
In most product markets, sales and marketing practices evolved years ago to address this problem. Organizations track funnel performance, engagement decay, and conversion rates because selling without data produces unpredictable outcomes.
Private capital largely avoided this evolution because it did not need to change. A seller’s market masks inefficiency. That protection is gone.
Capital is a product. Capital providers are buyers. Capital transactions are sales processes with long cycles, high stakes, and extreme selectivity. Ignoring data in this environment does not preserve relationships; it wastes time and increases failure risk.
Broad distribution alone is insufficient. What matters is understanding how the market responds and reallocating effort accordingly. Several engagement metrics are particularly informative in capital processes:
| Metric | What It Indicates in a Capital Transaction |
| Deliverability | Whether outreach is reaching real, decision-capable capital providers. Near-perfect deliverability signals clean data, credible domains, and true market access. Successful Deliverability would be as high as 99%. |
| Unsubscribes | Whether the email went to the right people. If it went to the right people, there will be a low level of unsubscribes; if it went to the wrong people, there will be a high level of unsubscribes. |
| Open Rate | Whether the positioning of the opportunity aligns with mandate, timing, and risk appetite. High open rates signal relevance, not commitment. Open rates can be as high as 85% and more commonly 43% for a first email. |
| Responses (Leads) | Whether relevance converts into active engagement. Responses indicate early capital fit and justify further investment of time. |
| Follow Up Responses to Additional Information Requests | Whether diligence materials sustain interest. High continuation rates signal alignment between headline positioning and underlying substance. Drop-off signals misalignment that must be corrected. |
Each stage has expected attrition. The objective is not to eliminate attrition, but to observe it, understand it, and manage it deliberately.
Technology does not close capital transactions. It enables them to be run correctly. Without this feedback loop, organizations operate blindly, over-investing time in low-probability outcomes while missing signals elsewhere in the market.
Capital transactions will always require people. Judgment, trust, and negotiation cannot be automated. Data does not replace relationships; it determines where relationships are worth building.
Organizations that treat capital raising as a data-informed sales process will adapt to reality and close accordingly.
