Calls held and conferences attended are activity, not outcomes. The IR Readout scores every announcement of your quarter — market reaction, volume, and what that event class normally does — against 26M+ news events over 20+ years.
Calls held: 84. Conferences: 6. Coverage: 4 initiations.
Effort, counted. It says nothing about whether the market heard any of it.
6 announcements. 5 measurable reactions. Median +1.8% against a +1.4% class baseline.
Outcomes, measured from the news timestamp and scored against 20 years of the same event class. The board reads it in one page.
Every announcement of the quarter — press releases, filings, earnings — with its measured market reaction and volume multiple. A dash is a finding, not a gap: the market did not react.
| Date | Event type | Headline | Reaction % | Volume multiple |
|---|---|---|---|---|
| Jan 08 | 8-K | Definitive agreement announced | +3.2% | 2.4× |
| Jan 27 | Earnings | Q4 results and full-year outlook | +1.8% | 3.1× |
| Feb 05 | Guidance | FY26 revenue guidance raised | +2.6% | 2.2× |
| Feb 19 | 8-K | Executive appointment | — | 0.9× |
| Mar 04 | Product | Platform release announced | +0.4% | 1.2× |
| Mar 25 | 8-K | Credit facility amended | −0.6% | 1.1× |
Illustrative data. Reaction measured from the news timestamp; — means no measurable reaction against the event-class baseline.
A +1.8% move on earnings means nothing on its own. Against 20 years of the same event class it becomes a score: what this announcement did versus what announcements like it normally do. That is what “normal” looks like, per event class — not per news cycle.
Illustrative data. Your median reaction per event class vs the 20-year baseline for that class.
Levi (Tel Aviv), Livnat (NYU Stern), Zhang (Rutgers) & Zhang (UC Berkeley Haas), 2016 — “Are extended hours prices predictive of subsequent stock returns?” — peer-reviewed research built on News Quantified data. The study validates the event-reaction methodology: the measured market reaction to a news event predicts the subsequent drift.
“We put out material news and the market shrugs.” The readout does not stop at the dash — every announcement with no measurable reaction gets a diagnosis, drawn from the dataset, on three axes.
When it hit the tape: into the close, inside a peer’s earnings window, on a macro day. The dataset shows what the same event class does in each slot — and what yours gave up.
How many stories competed for attention in your window — in your name, your sector, and the broad tape — and how reactions to your event class decay as crowding rises.
Whether the announcement contained information the market did not already hold. Restated or pre-signaled news scores low on novelty — and reactions to it are measurably smaller.
One line, four quarters: the share of your announcements the market measurably heard. It moves when your program moves — timing, messaging, event selection. That is the outcome metric activity reports cannot produce.
Illustrative data. Share of announcements with a measurable market reaction, by quarter.
Delivered quarterly, timed to your reporting cycle. Per-event readouts on request when a single announcement needs an answer now.
Walk into the board meeting with outcomes: every announcement scored, every flat one diagnosed, the trend on one line. No more defending activity metrics.
A quantified read on whether disclosure is landing — the same event-reaction measurement institutional clients have used since 2012.
Two SKUs, both delivered as the same quarterly readout. Competitive adds the matched-event peer benchmark.
Your ticker. Every announcement of the quarter, scored.
You plus 5 peers, on matched events.