Every investor has felt it. The market drops. The portfolio turns red. The instinct kicks in — get out before it gets worse. It is one of the most natural human responses imaginable. It is also one of the most expensive mistakes a retail investor can make.
For four decades, the financial services industry has tracked this problem without solving it. DALBAR has measured the gap every year since 1985. In 2024 alone, the average equity investor earned 16.54% while the S&P 500 returned 25.02% — a gap of 848 basis points. Morningstar’s 2025 Mind the Gap study found that over the past decade, investor behavior cost the average investor approximately 1.2 percentage points per year — equivalent to around 15% of their total potential fund gains.
Those numbers sound abstract until you put them in real dollars. A $100,000 portfolio invested for twenty years at a 10% annual return grows to $673,000. Lose 1.2% per year to fear-driven timing decisions and that same portfolio grows to just $540,000 — a difference of $133,000. That is not a market failure. That is the compounding cost of fear. It is the retirement that should have been larger, quietly stolen by a decision made in the worst possible moment.
And that 1.2% is the average across all investors — including the disciplined ones who never panic. In a year like 2024, when fear peaked and investors pulled money out of equity funds in every single quarter, the gap exploded to 848 basis points. The cost of an individual panic sell — out at the bottom, back in near the top — can dwarf both figures entirely.
Here is the thing nobody talks about: after forty years of measuring this problem, the industry still cannot tell you what panic selling actually costs the average retail investor. Not because the data does not exist. Because it has always been locked inside individual institutions who have no incentive to surface it. Every custodian knows when their clients sold in March 2020. They know when those same clients bought back in. They can calculate exactly what that round trip cost. That data has never left their walls.
Pure Benchmarks is the first platform built to change that.
The platform’s AI system, Hetty, monitors each investor’s verified portfolio daily. When a portfolio drops through a threshold consistent with a genuine market downturn, Hetty does not send a generic alert. It does not direct the investor to an educational article. It activates an OODA loop — Observe, Orient, Decide, Act — designed to interrupt the fear response before the decision is made.
Hetty shows the investor their own verified data: how their specific holdings would have performed through the Q4 2018 sell-off, the March 2020 COVID crash, and the 2022 market decline. Not a market opinion. Not a generalized recovery chart. Their own portfolio. Their own holdings. Their own history — delivered at the exact moment the fear is highest, before they act.
The goal is not to tell investors what to do. It is to create the space for a rational decision by replacing the noise of fear with the clarity of verified personal data. Calm the emotional response first. Then let the investor decide.
Every time an investor makes a portfolio change — a reallocation, a liquidation, a strategy shift — Pure automatically creates a ghost portfolio that runs alongside the live account indefinitely. That ghost updates every day against current market prices. Over time, investors accumulate a permanent, verified scorecard of every decision they have made and what each one actually cost or contributed in real dollars.
At scale, those ghost portfolios become something the industry has never had: a verified, cross-custodial record of what panic selling actually costs retail investors — not estimated from aggregate fund flows, but calculated from real individual decisions across every custodian simultaneously. Pure can identify panic selling specifically by tracking cash conversion at scale, correlating it against portfolio decline thresholds, measuring the speed and magnitude of the move, and then calculating the round-trip cost through the ghost portfolio when the investor buys back in.
For the first time, the question the industry has never been able to answer — what does panic selling actually cost? — will have a verified answer built from real data.
Supporting both capabilities is the Pure Nine Benchmarks — nine performance benchmarks built from real verified investor portfolios across nine asset allocation categories, allowing investors to compare their performance against real peers with the same risk profile rather than a broad market index that may bear no resemblance to how they are actually invested. Community Nests extend that comparison to the firm level, giving self-directed investors a performance community and giving advised clients the first honest window into whether their advisor is delivering results comparable to peers at the same firm.
The platform does not provide investment advice or recommendations. It returns verified data to the people whose money generated it — at the moment they need it most.
Pure Benchmarks was founded by Shawn Tierney, a former wealth manager and software entrepreneur who spent years watching investors make fear-driven decisions in the absence of honest, comparable data. The platform exists because that data can now be built — and because the cost of not building it has been measured, published, and largely ignored for forty years.