Tour planning runs on gut feeling + last tour's results.
But audiences shift.

A city that sold out two years ago might have lost momentum. A city you never considered now has a massive fan base. You book the same 15 cities because that's what worked last time — then wonder why three shows underperform while fans in overlooked markets buy resale tickets at 3x face value. Promoters optimize logistics. Nobody optimizes demand. Rascasse maps audience demand by city so you play where the fans actually are.

From audience demand data to optimized tour route.

Replace assumptions with real demand intelligence. Know exactly where to play and how big to go.

1. Start with any artist or event

See real-time audience concentration across every potential tour city. Search interest, social engagement, streaming data, and psychographic signals combined into a single demand score per market.

2. Understand where demand exists

Scenario analysis for every stop: conservative, optimal, and aggressive capacity options — each with sell-out probability and expected revenue. No more guessing between 5K and 12K seats.

3. Route with confidence

Uncover cities with high demand that nobody put on the tour plan. Audiences grow where you least expect them — data finds those pockets before your competitors do.

The intelligence behind smarter tours.

Real demand data, real venue scenarios — not promoter folklore.

Demand Mapping

See where your fans
actually are.

Audience demand scored and ranked by city across your tour territory. Each market gets a demand score based on search interest, social engagement, streaming data, and psychographic density.

clients.rascasse.com/tour-demand
European Tour Demand: Artist X — Summer 2026
EU 20 Markets Live
Markets Analyzed
48
High-Demand Cities
17
Hidden Markets Found
5
Top Cities by Demand Score
1. Berlin 94
2. Amsterdam 89
3. Warsaw 82 Hidden
4. Paris 78
5. Lisbon 74 Hidden

Venue Sizing

Right-size every venue
with scenario analysis.

For each city, see conservative, optimal, and aggressive capacity scenarios — each with sell-out probability and projected revenue. Stop guessing. Start sizing with data.

clients.rascasse.com/venue-sizing
Venue Sizing: Berlin — Artist X
Berlin Demand Score: 94
Capacity Scenarios
Conservative
5,000
seats
Sell-out
97%
Revenue
EUR 325K
Optimal
8,000
seats
Sell-out
88%
Revenue
EUR 496K
Aggressive
12,000
seats
Sell-out
64%
Revenue
EUR 538K
Recommendation: Optimal scenario (8,000 seats) maximizes revenue-to-risk ratio. High sell-out probability with 53% more revenue than conservative.

Tour intelligence that drives decisions.

Understand not just where artists are popular — but where real demand meets available capacity.

Data Over Gut Feeling

Audience demand data replaces promoter intuition. See real-time fan concentration across every city — not just the ones on last tour's list.

Right-Size Every Venue

Scenario-based capacity planning with sell-out probabilities. No more empty sections or turning away fans at sold-out venues that should have been larger.

Discover Hidden Markets

Find cities where fan bases have grown but nobody noticed. These surprise markets often deliver the highest sell-out rates and strongest fan energy on the tour.

Where data-driven tour planning makes the difference.

Concert Tour Planning

Labels and promoters use demand data to route tours where fans actually are — not where they were three years ago. Optimal city selection, venue sizing, and routing that maximizes revenue per mile traveled.

Exhibition Touring

Museums and cultural institutions touring exhibitions across cities. Know which cities have the highest audience affinity for the exhibition theme — and size the venue and marketing budget accordingly.

Festival City Selection

Expanding a festival brand to new cities? Demand intelligence reveals where the target audience is concentrated, which competing events exist, and what capacity the market can absorb.

Comedy & Theater Tour

Comedy and theater tours live and die by city selection. Demand data shows which cities have genuine audience interest — avoiding half-empty rooms and finding the surprise markets that fill fast.

Case Study

How a Record Label Found 5 Surprise Cities and Added EUR 1.2M in Tour Revenue

A major record label was routing a European arena tour using the same 15 cities from the previous cycle. Rascasse demand mapping revealed 5 cities with high fan density that had never been on the tour plan — including Warsaw, Lisbon, and three mid-size markets where the artist's streaming numbers had surged 300% in 18 months. The label added all five to the route, right-sized venues using scenario analysis, and the result spoke for itself: 18 out of 20 shows sold out, including 4 of the 5 surprise cities. Total incremental revenue: EUR 1.2M — from markets that would have been left on the table.

+EUR 1.2M
Incremental Revenue
18/20
Shows Sold Out
5 Cities
Hidden Markets Found

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