What Is a Flare Score? How to Use It to Find Profitable Events | TicketFlipping
Flare Dashboard

What Is a Flare Score?
And What Can It Actually Tell You?

The Flare Score measures real local fan demand against available ticket supply - ranked across 57,000+ events. Here is what it tells you, what it does not, and how to use it alongside the Popularity Score to make smarter buying decisions.

By TicketFlipping Team - ticketflipping.com

A high Flare Score tells you that local demand is strong relative to supply. What it cannot tell you is the get-in price on the secondary market - which ultimately determines whether that demand translates into real resale profit. This guide explains exactly what each metric measures, where its limits are, and how to combine signals to make confident buying decisions.

The Flare Catalogue: What You Are Working With

The Flare Dashboard tracks over 57,000 events across Ticketmaster and AXS at any given time. Of those, approximately 9,255 have a Flare Score - meaning the system was able to locate fan-by-location data for those artists in those specific markets. The remaining events are still visible in the dashboard and carry a Popularity Score, but did not have sufficient location data to generate a Flare Score.

57,375
Total events tracked in catalogue
9,255
Events with a Flare Score (16%)
737
Highest score in the current catalogue
7.1
Median score across scored events

The fact that only 16% of events have a score is not a bug - it is a feature. If Flare cannot find reliable fan-by-location data for a given artist and market, it does not manufacture a score. A missing score is information in itself: it means we could not confirm strong local listener presence. Use that absence as a caution signal, not a green light.

How the Flare Score Is Calculated

The Flare Score is built on a single core question: how many real, local, active fans are competing for each available ticket at this event?

The formula
Active fans within 100 miles of venue
Total ticket quantity for the event
- ranked against
all other scored events
in the catalogue
The raw ratio is calculated per event, then ranked against all other events with scores to produce a final number from 0 to 737+ (the current maximum). The higher the score, the more fans are competing per available ticket relative to everything else in the system.

The fan count comes from three real-time data sources that measure actual listener and search behavior in the specific geographic area around the venue - not nationally, not globally, but within 100 miles of where the show is happening.

Spotify
City streaming data

Monthly listener counts by city and region. This is active listening behavior - people who have played this artist in the past 28 days in this market. Not followers. Not saves. Actual streams.

YouTube
City view data

Geographic view data from YouTube captures artists whose fanbase is more video-driven than streaming-driven. Particularly useful for Latin, Gospel, and older artists who index higher on YouTube than Spotify.

Google Ads API
Local search volume

Search volume for the artist by location via the Google Ads API. Search intent is one of the strongest proxies for purchase intent - people actively searching for an artist in a given city are much closer to buying tickets than passive streamers.

The Popularity Score: A Separate Signal

The Popularity Score is a separate metric that runs from 0 to 100 and comes directly from Spotify. It measures an artist's current global popularity relative to all artists on the platform - not their local presence, not their ticket demand, but their overall cultural footprint at this moment.

A Popularity Score of 96 (the highest in our current catalogue) belongs to Morgan Wallen. A score of 0 is common for very local or niche artists with minimal Spotify presence. The median across all 57,000+ events in Flare is 0 - because the majority of events are local, niche, or tribute acts with little to no Spotify data.

Flare Score
Local demand vs. supply
Range: 0 to 737+ (current max)
Measures how many active, local fans are competing for each available ticket at this specific event in this specific city. Accounts for venue size. Context-dependent.
+ Tells you about scarcity in this market
+ Accounts for venue capacity relative to demand
- Cannot tell you secondary market get-in price
- Only available for 16% of events (requires location data)
Popularity Score
Global Spotify popularity
Range: 0 to 100 (direct from Spotify)
Measures an artist's overall cultural footprint right now across all of Spotify globally. Higher score means more streams, more monthly listeners, more chart presence at this moment.
+ Available for all events, not just scored ones
+ Captures artist momentum in real time
- Global metric, not local - does not account for venue size
- Does not reflect actual ticket demand in a specific market

Why the Get-In Price Is the Missing Piece

Here is the honest limitation of both metrics: neither the Flare Score nor the Popularity Score tells you whether reselling will actually be profitable. That requires knowing the get-in price on the secondary market - the cheapest available resale ticket - which determines whether there is enough margin between face value and what buyers will pay.

An event can score 500 on Flare with a Popularity Score of 85 and still be a poor resale opportunity if face value tickets are already priced at $300 and the secondary market get-in is $320. There is almost no margin. Conversely, an event with a moderate Flare Score of 80 and a $45 face value where the secondary get-in is $120 offers a 166% gross return before fees.

!
Always check secondary market pricing for comparable sections before buying primary tickets. The Flare Score and Popularity Score tell you about demand - but demand without margin is not a business opportunity. Pull current StubHub or Vivid Seats listings for the event and section you are targeting before the presale opens, not after you have already bought.

Where pricing data is available in Flare, you can see the minimum and maximum ticket price for primary inventory. Use this as a starting point - then compare to secondary market listings to estimate your potential margin before buying.

The Three-Signal Approach

The most useful way to think about Flare is as one input in a three-part evaluation, not a standalone buy signal. Here is how the three signals work together:

High Flare Score High Popularity Margin unclear

Strong demand, unknown margin

Demand signals are strong but pricing data is not available yet. Check secondary market manually before the presale. The demand signal suggests it is worth the research time.

Action: Check StubHub comps for similar past shows. Research before committing.
High Popularity No Flare Score High face value

Major artist, no location data

Artists like Morgan Wallen (96 Popularity) or Bruno Mars (94 Popularity) often show no Flare Score because they are playing huge venues where the location data method does not apply well. High face value tickets are already pricing in some of the demand.

Action: Secondary pricing research is essential. Do not assume popularity = resale margin.
Moderate Flare Score Moderate Popularity Low face value

The underrated setup

A Flare Score of 150 with a Popularity of 65 and a $35 face value ticket can outperform a "stronger" signal event on pure ROI. Low get-in with real local demand often produces the best percentage returns.

Action: Calculate the math. Low face value events often have the best ROI even at moderate demand.
Low Flare Score High Popularity High face value

The stadium trap

Globally famous artist, huge venue, high ticket prices, low Flare Score because supply dwarfs local demand. Bruno Mars at a 50,000-seat stadium scores low despite a 94 Popularity because the ratio of fans-per-ticket collapses at that scale.

Action: Caution. Secondary market may already be saturated. Check pricing carefully before buying.
No score Low Popularity Unknown pricing

No signal at all - pass

No location data, no meaningful Spotify presence, no pricing information. Without any signal, there is no way to evaluate this event systematically. Move on.

Action: Skip unless you have strong local knowledge about this artist or market.

Real Events From the Flare Catalogue

Looking at the actual data across 57,000+ events, here is what the signal combinations look like in practice. These are real events in the current Flare catalogue:

EventCityFlare ScorePopularityGet-In PriceRead
50 CentBoston, MA 73786$94.85 Both signals strong, accessible get-in. Worth researching secondary market carefully.
DaBabyDenver, CO 63881$60.82 High score, high pop, low face value. Strong setup if secondary shows margin above $60.
FEID vs FERXXODallas, TX 30291$380 Both signals strong but $380 get-in is very high. Margin depends entirely on secondary pricing.
Bethel Music TourAustin, TX 30174$12.50 High score, moderate pop, extremely low face value. ROI potential is high if any secondary demand exists.
Bruno MarsSanta Clara, CA 1.794$463 Extremely high global popularity but very low Flare Score - massive venue dwarfs local demand. Very expensive get-in. Proceed with significant caution.
Morgan WallenChicago, IL No score96$99.75 Highest Popularity in catalogue but no location data available. Stadium show. Secondary research is essential before buying.
Wiz KhalifaGary, IN 32185$50 Strong both signals, accessible get-in. This is the type of event worth prioritizing for research.
KhalidNashville, TN 23685$40.95 Strong score, high pop, very low get-in. If secondary market shows even modest premium this has strong ROI.
Flare Score distribution across 9,255 scored events in catalogue
Score distribution: 0-10 range: 5,319 events (57%). 10-30: 2,339 events (25%). 30-75: 1,108 events (12%). 75-200: 399 events (4%). 200+: 65 events (less than 1%).
Median score is 7.1. Only 303 events score above 100. Events scoring 200+ represent the top 0.7% of all scored events in the system.

What a Missing Score Means

If you see an event with no Flare Score, it means the system could not locate reliable fan-by-location data for that artist in that market. This happens most commonly with:

  • Very large stadium and arena shows where the venue capacity is so high relative to any realistic local listener count that the metric becomes less meaningful
  • Artists who are extremely popular offline but have limited streaming presence - older artists, regional stars, or artists whose fanbases skew toward radio listeners rather than Spotify users
  • Niche, local, or tribute acts with minimal streaming data
  • Brand-new artists who have not yet built up enough location-specific streaming history

A missing score is not a pass or a fail on its own. Morgan Wallen - the artist with the highest Popularity Score (96) in the entire current catalogue - has no Flare Score across most of his tour dates. That does not mean his shows are not worth researching. It means you have to rely on secondary market data and historical sell-out patterns more heavily, because the location-based demand signal is not available.

When an event has no Flare Score, the Popularity Score becomes your primary Flare-based signal. Combine it with secondary market research - check what similar shows from this artist in similar markets have sold for historically - and make your decision from there rather than from the scores alone.

How to Use Flare in Your Weekly Research

The most efficient workflow is to use both scores as a filtering layer, not a buying trigger. Here is a practical approach:

  1. Start with scored events above 75. These sit in the top 10% of all events in the system by demand-to-supply ratio. They have cleared a meaningful threshold. Use this as your shortlist.
  2. Add Popularity Score context. A Flare Score of 200 with a Popularity of 40 reads differently than a Flare Score of 200 with a Popularity of 85. The latter has broader cultural momentum behind it. Both are worth researching - but the research is different.
  3. Check secondary pricing before anything else. For every event on your shortlist, open StubHub or Vivid Seats and look at current listing prices for comparable sections. If secondary market pricing is already at or below face value, move on regardless of the scores.
  4. Use pricing data in Flare where available. The Min Price field in the dashboard gives you primary face value. Compare this to secondary listings to estimate your gross margin before fees.
  5. Cross-reference with the nightly #marketpredictions picks. Expert brokers in the TicketFlipping community have already done this evaluation for the most compelling events. Their picks are not just based on Flare data - they include secondary market research and historical sell-out knowledge that no single metric captures.
Flare Dashboard - Members Only

57,000+ events. Two demand signals. Real-time pricing.

The Flare Dashboard gives you access to the full event catalogue with Flare Scores, Popularity Scores, presale codes, primary pricing, and the tools to filter down to the events worth your research time. The AI broker assistant lets you ask questions about specific events and get answers grounded in 10+ years of resale market data.

Nightly buy picks from expert brokers - sent Sunday through Thursday in the #marketpredictions channel - combine all of these signals with secondary market research so you get a vetted shortlist rather than raw data to interpret on your own.

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