LIVE EVENTS & ENTERTAINMENT

Live Event & Concert Attendance Survey

Live event attendees evaluate ticket pricing, venue experience, and artist lineup when choosing which concerts to attend, so you can sharpen acquisition targeting, refine pricing tiers, and strengthen retention across your ticketing and sponsorship channels.

Pan-India sample
Concert-goers (Active Event Attendees)
15-20 min
Talk to a Survey Consultant
Booking friction & drop-offsIdentify where attendees hesitate, compare platforms, or abandon ticket purchases.
Attendance drivers & spend thresholdsBenchmark willingness-to-pay, genre preferences, and frequency across attendee segments.
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CONTEXT & RELEVANCE

Why run this survey now

Most live event organizers don't lose ticket buyers purely on pricing. They lose them due to venue friction, lineup uncertainty, peer influence gaps, competing entertainment formats, and post-purchase regret cycles, none of which fully show up in ticketing platform analytics or box office sales reports.

If you are...

  • Live event promoter or producer
  • Venue operator facing booking gaps
  • Ticketing platform revenue lead
  • Artist management commercial team
  • Sponsorship or brand partnerships head

You're likely facing...

  • Early ticket drop-off: discovery to purchase
  • Casual vs. loyal attendee split
  • Streaming vs. live format tension
  • Sponsor ROI justification gaps
  • Repeat attendance and loyalty erosion

This will help answer...

  • Primary attendance decision drivers
  • Funnel drop-off stage and trigger
  • Segment preference by event format
  • Ticket price sensitivity thresholds
  • Repeat attendance and switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete concert-goer journey from discovery to post-event advocacy.

TENETS 01

Discovery & Awareness

  • Event discovery channels used
  • First-touch awareness triggers
TENETS 02

Ticket Purchase Drivers

  • Primary booking decision factors
  • Artist vs. venue preference weight
TENETS 03

Pricing & Willingness

  • Acceptable spend per ticket tier
  • Dynamic pricing tolerance levels
TENETS 04

Booking Journey Friction

  • Drop-off points in ticketing flow
  • Platform usability barriers
TENETS 05

Venue & Experience

  • Venue format and capacity preference
  • On-site experience satisfaction drivers
TENETS 06

Group & Social Dynamics

  • Group size and composition patterns
  • Social influence on attendance decisions
TENETS 07

Frequency & Loyalty

  • Annual attendance rate by genre
  • Artist loyalty vs. genre breadth
TENETS 08

Post-Event Advocacy

  • Post-show sharing and review behaviour
  • Word-of-mouth referral triggers

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Live Event and Concert Attendance Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across attendee segments and venue tiers.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking attendance drivers by genre and venue type
2
Measuring ticket spend across frequency segments
3
Comparing behavior by age, city tier, and income band
Deliverables
Attendance driver ranking
Spend tier matrix
Segment frequency map
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older or low-digital concert-goers in Tier 2 cities
2
Quick pulse across multiple regional event markets
Deliverables
Regional attendance coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-frequency attendees at premium or festival venues
2
On-site intercepts capturing real-time event experience
Deliverables
Venue intercept data
High-value attendee profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
Concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, targeting active concert-goers across digital panels and ticketing platform audiences, segmented by genre preference, city tier, and attendance frequency.
Consider adding: F2F intercepts at live venues for high-value attendee profiling, and a focused FGD layer to pressure-test pricing, packaging, and fan experience propositions before commercial rollout.

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the live events and entertainment space.

CASELET 1

Festival ticket pricing tolerance & segment willingness (India)

CASELET 2

Venue discovery channels & pre-show experience friction (South Asia)

Festival ticket pricing tolerance & segment willingness (India)

OBJECTIVE

A mid-size live entertainment promoter needed to map how first-time festival attendees , repeat ticket buyers , and premium experience seekers differ in their price tolerance , tier selection logic , and willingness to pre-commit during early-bird windows.

WHAT WE DID

Ran a structured quant survey across 6 cities with 480 respondents, capturing ticket tier preferences , spend ceiling by event type , booking lead time , group size at purchase , and stated reasons for upgrading or downgrading between price bands.

DELIVERED

A pricing corridor by attendee segment , a tier sensitivity map showing where price resistance concentrates, and a ranked list of value drivers that shift buyers from general admission into premium categories across different event formats.
CASELET 1

Festival ticket pricing tolerance & segment willingness (India)

CASELET 2

Venue discovery channels & pre-show experience friction (South Asia)

Festival ticket pricing tolerance & segment willingness (India)

OBJECTIVE

A mid-size live entertainment promoter needed to map how first-time festival attendees , repeat ticket buyers , and premium experience seekers differ in their price tolerance , tier selection logic , and willingness to pre-commit during early-bird windows.

WHAT WE DID

Ran a structured quant survey across 6 cities with 480 respondents, capturing ticket tier preferences , spend ceiling by event type , booking lead time , group size at purchase , and stated reasons for upgrading or downgrading between price bands.

DELIVERED

A pricing corridor by attendee segment , a tier sensitivity map showing where price resistance concentrates, and a ranked list of value drivers that shift buyers from general admission into premium categories across different event formats.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between casual single-event attendees, multi-event loyalists and lapsed attendees?

How will you measure event format preference beyond simple ratings?

Will the survey map the full ticket purchase journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our sponsorship and partnership revenue strategy?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

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