CASE STUDY · INVESTOR MARKETING AT SCALE

A thesis the market can repeat, marketed to millions.

Investor-facing marketing across 25+ public companies.

When a public company cannot say what it does in one sentence, the market prices in a discount. I built the marketing engine that closed that gap: the thesis, the decks and whitepapers, and highly regulated paid advertising that reached millions of viewers. Personalization at scale put the right message in front of the right investor.

The equity story is the product. Everything else is packaging.

The problem

Three companies. One discount. The same root cause every time.

A fund manager screens a fintech and hears four different explanations of the model in the first five minutes. A retail investor lands on a materials company and cannot tell what it sells. An analyst reads a whitepaper twice and still writes the wrong summary. Different rooms, same problem. The story did not survive the handoff. When the market cannot repeat what you do, it defaults to the safe number, and the safe number is a discount.

My job across 25+ public companies was not to make the story louder. It was to make it survive being retold by someone who does not work there.

The one test

Can an investor explain your thesis without the deck open?

That is the only test that matters. Investors do not act on what you said. They act on what they can repeat to a partner, a committee, a spouse who controls the household account. If the thesis needs the deck open to make sense, it does not travel. And a thesis that does not travel gets priced like it does not exist.

If an investor can't explain your thesis after page one, the rest of the deck is damage control.

Millions

Viewers reached through highly regulated paid advertising

25+
public companies given an investor-facing marketing engine
20+
investor decks and whitepapers authored and shipped
Millions
of viewers through paid media, inside strict compliance rules
At scale
personalization matching message to investor across campaigns
The move

Write one thesis. Then engineer it to hold at every scale it has to travel through.

A thesis has to survive three compressions. It gets cut to a page in the deck. It gets cut to a headline in a regulated ad. It gets cut to one line in an investor's head. Most companies write for page one and lose the other two. I wrote for the version that lands in the investor's head first, then built the deck and the paid media back up from there. Same argument, three sizes, no drift.

Personalization at scale is what let the message flex without breaking. A growth fund and a value fund read the same company differently. The campaign spoke to each in its own language while every version pointed back to one thesis.

MARKET THESIS

The one-sentence equity story

The argument an investor could repeat without the deck open. Everything downstream inherited it.

DECKS

Investor decks that carry

Page one had to win, or the rest was cleanup. Built the sequence so the thesis landed before slide two.

WHITEPAPERS

The long-form proof

20+ decks and whitepapers total. The depth an analyst needed to defend the position to a committee.

REGULATED PAID MEDIA

Reach without a violation

Millions of viewers through paid advertising, every claim inside strict compliance rules. Scale and discipline at once.

PERSONALIZATION AT SCALE

Right message, right investor

The campaigns adapted to fund type and mandate so the pitch felt written for the reader, not the crowd.

FUNNELS

From viewer to conviction

The path that carried a cold impression to a warm investor who could already repeat the thesis back.

The honesty note

This is about the marketing system, not the stock.

The work here is the investor-facing marketing: the thesis, the decks and whitepapers, the regulated paid reach, the personalization. Markets move on a hundred things I did not control. Nothing on this page is a promise about share price or market performance. It is an account of the communications engine, built to make a complex company legible to the people deciding what it is worth.

The point

A discount is not always a fundamentals problem. Often it is a translation problem. The market cannot value what it cannot restate. Across 25+ public companies the job was the same: give the market a thesis it could carry on its own, then put that thesis in front of millions without breaking a single rule.

Confuse the market and it prices the confusion. Give it one clear thesis and it does the repeating for you.