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Ticket Sales Pacing: How Promoters Compare a Show With Its Comp Set

Velocity says how fast. Pacing says compared with what. The second question is harder, because the comparable is chosen, and a badly chosen one produces a confident wrong answer.

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In short

Ticket sales pacing compares a show's cumulative sell-through at a given number of days before the event with a comparable's sell-through at the same point — a prior date by the same artist, a similar act in the same room, or an average of several. The gap in percentage points and the pacing index (current ÷ comparable) are the working measures. The comparable must be argued for, not assumed, and there is no published industry pace; the series on this page is synthetic.

A show that has sold half its inventory three weeks out is doing well or badly depending on what it is compared with. Pacing is the discipline of choosing that comparison and reading the gap. It is the most used and least examined tool in a promoter's morning, and this page sets out both the arithmetic, which is simple, and the choice of comparable, which is not.

Definition

Pacing lines up two cumulative sell-through curves on a days-to-event axis and reads the difference at the current point. The current show's figure is paid tickets to date over sellable inventory. The comparable's is the same ratio at the same days-to-event on its own campaign. The gap is the difference in percentage points; the pacing index is the current figure divided by the comparable's, so that 1.0 means on pace, 0.8 means a fifth behind and 1.2 a fifth ahead. The apparatus on this page computes both at several checkpoints against a synthetic comparable.

Pacing is not velocity

The two words are used interchangeably in casual conversation and should not be. Velocity is a rate: how many tickets a show sold today, this week, or on average over a trailing window, and what its own cumulative curve looks like. Pacing is a position: where that cumulative figure stands relative to a chosen comparable at the same distance from the show. A show can have strong velocity and poor pacing, if the comparable sold faster still, or weak velocity and comfortable pacing, if the comparable was a slow-building date that finished full. Velocity needs only the show’s own ledger; pacing needs a second campaign and an argument for why it is the right one. That second requirement is where most pacing claims fail.

What makes a comparable defensible

The arithmetic is trivial; the comparable is everything. The strongest comparable is the same artist in the same room on a prior date, adjusted for the time elapsed and for price. The next is the same artist in a comparable market, or a comparable artist in the same room — where comparable has to be argued in terms of genre, career stage, price and capacity rather than asserted. A comp set built from several such dates smooths idiosyncrasies. A comparable chosen because it makes the current show look good is not a comparable; it is a story. The draw page treats the same question from the other end, before the on-sale.

In the synthetic example, the current show sits at a little under half of sellable three weeks out while the comparable sat at more than four-fifths at the same point, a pacing index around 0.57. That gap is deliberately large so that the mechanics are visible. Neither curve describes a real show, and the size of a gap that should worry a promoter depends entirely on what the comparable is and how the show is expected to finish.

Inventory events break pacing

Because pacing divides by sellable inventory, anything that changes the denominator moves the figure. A production hold release adds seats and lowers the percentage; a kill removes them and raises it; a presale allocation that the comparable did not have front-loads the current curve. A pacing comparison is only honest when the inventory history of both campaigns is known. The New York Attorney General's 2012–2015 sample found holds ranging from about 5 to 29 percent of tickets across shows, which is enough variation to make two campaigns with identical demand pace differently on paper 2.

Why there is no pace to be behind

There is no published industry pacing curve for concerts. Ticketing companies hold the data and do not release it at the level a comparison needs; promoters hold their own history and treat it as an asset. What circulates as a benchmark — a share sold by a given week — is one operator's comp set generalised beyond its scope. The pacing apparatus on this page therefore does not ship with a default target. It ships with a synthetic comparable and an instruction to replace it.

The pacing index is a Live Index construction

The gap in percentage points, the pacing index and the three-way reading used on this page are analytical constructions of this publication, defined here so that they can be reproduced, and not an industry standard. In particular, the apparatus calls a show on pace when the gap is inside two percentage points either way; that band is a display choice made for legibility, not a threshold with any evidential basis, and a promoter working a specific date should set their own. Ticketing platforms and promoters run their own pacing reports with their own definitions, none of which are published, and a figure described as a pacing index elsewhere may be computed against a different denominator, a different comparable or a different axis. No number on this page is comparable to one produced by another method without checking each of those choices.

What pacing is actually for

A decision. Pacing answers whether the show needs intervention and how much: additional marketing, a price adjustment, a support addition, a paper plan, or nothing. It informs the conversation with the agent about whether the projection in the offer is holding. It is not a forecast of the final number; that is the velocity projection, which pacing calibrates. And it is not a judgement on the artist, because a gap against a comparable can be the comparable's fault.

Synthetic series

Cumulative sell-through against a comparable at the same days-to-event

Pacing compares the cumulative line with a comparable show's cumulative line at the same days-to-event. It is only as good as the comparable; the one drawn here is invented.

0%25%50%75%100%60d45d30d14d7dShow
Solid accent: this show's cumulative share of sellable. Dashed grey: the invented comparable's cumulative share at the same days-to-event.
Days to eventThis showComparableGapReading
4536.0%59.0%−23.0 ptsbehind
3044.0%77.7%−33.7 ptsbehind
1450.5%87.6%−37.1 ptsbehind
752.9%90.2%−37.3 ptsbehind
Day of show65.7%92.0%−26.3 ptsbehind

Synthetic series — constructed to show the shape of the arithmetic. No real show's sales data sits behind it, and it is not a benchmark.

Worked scenario

Sell-through against two denominators

Paid tickets divided by sellable inventory is the operational figure; paid divided by architectural capacity is the one that appears in press materials. Both are shown so the gap is visible.

Sell-through of sellable inventory
90.9%
Sell-through of architectural capacity
80.0%
Gap between the twoSame paid count; the denominator does the work.
+10.9 pts
Sellable tickets remaining
400
Pace required to sell outArithmetic, not a forecast: it says what would have to happen, not what will.
19.0 per day

Worked scenario — illustrative inputs chosen for arithmetic clarity, not an industry average.

Research notes and limitations

The pacing series and its comparable are synthetic and labelled as such; they describe no real show or comp set. Pacing gaps that warrant action depend on the comparable, the deal and the promoter's own history, and no threshold is stated. No industry pacing curve is publicly documented.

References

  1. 01Levitt Foundation, "Glossary of Terms: Artist Booking & Live Music Events" — papering, placing holds. levitt.org/wp-content/uploads/2024/07/Glossary-of-Terms-Artist-Booking-Live-Music-Events.pdf
  2. 02New York State Office of the Attorney General, "Obstructed View: What's Blocking New Yorkers from Getting Tickets", 2016-01-28 — range of holds across shows in the report's sample (5–29 percent). ag.ny.gov/sites/default/files/reports/Ticket_Sales_Report.pdf

Publication record

The structured record for this document. Classification is drawn from the Live Index controlled vocabulary so relationships between people, subjects, places and measurements stay consistent across the platform.

Content type
Analysis
Primary topic
Ticketing
Secondary topics
Ticket PricingIndependent Promoters
Themes
DataMarket Health
Economic concepts
Demand
Methodology
What we measure

Corrections and revisions

No corrections have been issued for this document. Substantive errors are corrected on this page, dated and retained.

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Cite this research

Plain
Omar Afra, "Ticket Sales Pacing: How Promoters Compare a Show With Its Comp Set", Live Index, September 4, 2026, https://liveindex.io/research/ticket-sales-pacing
APA
Afra, O. (2026, September 4). Ticket Sales Pacing: How Promoters Compare a Show With Its Comp Set. Live Index. https://liveindex.io/research/ticket-sales-pacing
Chicago
Omar Afra. "Ticket Sales Pacing: How Promoters Compare a Show With Its Comp Set." Live Index, September 4, 2026. https://liveindex.io/research/ticket-sales-pacing.
BibTeX
@online{research-ticket-sales-pacing-2026, author = {Omar Afra}, title = {Ticket Sales Pacing: How Promoters Compare a Show With Its Comp Set}, organization = {Live Index}, date = {2026-09-04}, url = {https://liveindex.io/research/ticket-sales-pacing} }

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