Report on the tour, not on the show

A twelve date run is one campaign with twelve outcomes. You planned it as a run, you budgeted against it as a run, and you will book another one on what you learn from it. The run is the unit worth measuring.

Most live reporting never gets there. It stops at twelve separate sets of numbers, and the pattern that would tell you where to put the next tour stays buried inside them.

Backline rolls a run of shows into a single tour view: combined tickets sold, combined capacity, sell-through, gross, a combined pacing curve across the whole run, and the peak and trough days on that curve. This is what to read in it, and how to turn it into a report somebody will actually act on.

What only shows up at the tour level

Which markets over-performed relative to the run. A single show at 71 percent tells you little. The same show at 71 percent when the run averaged 58 tells you a lot, and it is the input to whether that market gets a bigger room next time.

When the announcement effect faded. Aggregate the pacing curves across every date and you can see the shape of the campaign: the on-sale surge, how many days it lasted, whether the mid-run press push registered at all, and where the late run started.

Whether the run was front-loaded or back-loaded. A tour where the early dates sold and the later ones did not is a routing problem. A tour that paced evenly and finished strongly is a demand problem already solved.

Revenue against capacity across the whole run, which is the number a promoter or an agent will actually respond to.

The one field that makes it work

Grouping shows into a tour needs an explicit name, typed by the person who knows what the tour is.

The tempting alternative is inference: cluster the dates by proximity in time and geography, and call each cluster a tour. It breaks in exactly the cases that matter. Two festival dates in the same fortnight are not a tour. A run with a three week gap in the middle is one tour, not two. A support run alongside your own headline dates gets merged into one meaningless group, and the resulting sell-through figure describes nothing.

In Backline the tour name is a plain field on the show. You type it when you add or edit a date, or once on a bulk import so it stamps a whole upload of dates in one go. Every show carrying that name rolls into that tour, so the grouping is always the one you intended rather than one a system guessed at.

It takes a second to type, and from then on the roll-up is right every time you open it.

What a tour roll-up should contain

• Combined tickets sold and combined capacity, and sell-through as the ratio of those two.
• Combined gross, with the currency stated. Never blend currencies into one figure without saying what rate was used and when.
• Show count and date range.
• A combined cumulative pacing curve across the run.
• The peak and trough days on that curve, called out explicitly, because they are where the campaign effects sit.
• Per-show sell-through, ranked, so the outliers are visible without anyone reading a table.

That is the Tours view in Backline, and because the shows and their ticket pacing already live in the same project as the streaming, advertising and press data, you can put the on-sale week next to what else was running that week without exporting anything.

Reading the combined curve

The combined curve behaves differently from a single show's. Dates go on sale together and happen at different times, so the aggregate carries a long tail of individual run-ups layered on each other.

Two features are worth looking for.

The on-sale plateau. How many days did the announcement keep selling? A short plateau across a whole run suggests the announcement reached your committed audience and stopped, which is a reach problem rather than a demand problem, and it is fixable with money.

Mid-run bumps. Did the press push, the video or the support announcement produce a visible step? Sometimes the honest answer is no, and that is worth knowing before you budget for the same thing on the next run.

Reporting it

Two pages. The first is the roll-up: combined sell-through, gross, show count, the curve. The second is the two outliers, best and worst, with a sentence each on why.

Nobody reads twelve tables. The roll-up answers "how did the tour do" and the outliers answer "what do we do differently", which is the entire content of the meeting that follows. Backline will produce that as a branded report you can download and send, or as a scheduled email that lands on the same day every month while a run is on sale.

Feeding it back

Store the finished run. Market, capacity, final sell-through, curve shape, what was spent, what was announced and when.

After two tours you have a model of what your project's demand looks like in each market and how quickly an announcement converts, which is worth more for planning the third than any industry benchmark. Pollstar's year end figures tell you what the hundred biggest tours in the world did. Your own last two runs tell you what your next one will do, and in Backline they stay in the project rather than in an archive of spreadsheets nobody reopens.