GAMING & ENTERTAINMENT

Gaming Platform & Genre Preference Survey

Measure how active gamers evaluate platform ecosystems, weigh genre loyalty, and choose between mobile, console, and PC experiences, so you can sharpen acquisition targeting, refine genre positioning, and reduce churn across player segments.

Multi-Market Sample
Active Gamers (Platform Decision-Makers)
15-20 min
Talk to a Survey Consultant
Platform switching & conversion gapsIdentify where players abandon a platform, stall, or switch mid-session.
Genre loyalty & spend signalsBenchmark genre stickiness, session frequency, and in-game monetisation triggers across segments.
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CONTEXT & RELEVANCE

Why run this survey now

Most platform builders don't lose players purely on content volume. They lose them due to genre-audience mismatch, platform friction, session-length misalignment, monetisation timing errors, and cross-device drop-off patterns, none of which fully show up in DAU dashboards or app store retention reports.

If you are...

  • Gaming platform product lead
  • Mobile vs PC/console competitor
  • Genre portfolio strategy head
  • User acquisition and growth lead
  • Monetisation and live-ops director

You're likely facing...

  • Genre fatigue vs discovery gap
  • Platform stickiness vs churn tension
  • Casual vs core segment blur
  • Spend conversion: free-to-play ceiling
  • Cross-platform loyalty fragmentation

This will help answer...

  • Genre preference by player segment
  • Session drop-off by platform type
  • Platform switching triggers
  • Willingness to pay by genre
  • Retention drivers beyond content updates

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete gamer journey from first-session discovery to long-term platform loyalty.

TENETS 01

Discovery & Onboarding

  • First platform touchpoint channels
  • Genre tried in first session
TENETS 02

Genre Preference

  • Primary and secondary genre mix
  • Session frequency by genre type
TENETS 03

Platform Selection

  • Device and ecosystem lock-in factors
  • Cross-platform switching triggers
TENETS 04

Session Behaviour

  • Daily session length and timing
  • Solo versus multiplayer split
TENETS 05

Monetisation & Spend

  • In-game purchase categories and frequency
  • Subscription versus one-time spend split
TENETS 06

Community & Social

  • Guild, clan, and squad participation rates
  • In-platform social feature usage
TENETS 07

Content & Streaming

  • Streaming platform influence on game choice
  • Creator-led discovery versus peer referral
TENETS 08

Churn & Retention

  • Abandonment triggers by game stage
  • Re-engagement event and offer response

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?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Gaming Platform and Genre Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across player segments and platform cohorts.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking genre preferences by platform and player type
2
Measuring session frequency and spend per platform
3
Comparing segments by age, device, and region
Deliverables
Genre preference rankings
Platform switching matrix
Spend tier bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Casual players with low digital panel presence
2
Quick pulse across tier-2 and tier-3 markets
Deliverables
Casual player coverage
Regional reach diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-spend esports and console player cohorts
2
Gaming cafes and LAN event venue intercepts
Deliverables
High-value player profiles
In-venue behavior maps
OPTIONAL
FGDs
Deliverables
Player verbatims
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 players across mobile, PC, and console segments to capture genre preference and platform loyalty at scale.
Consider adding: CATI for casual and low-digital player segments in tier-2 and tier-3 markets, plus a focused FGD layer to pressure-test platform positioning and in-game monetization messaging.

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 gaming and interactive entertainment space.

CASELET 1

Mobile gaming monetisation model preference & friction (India)

CASELET 2

Cross-platform genre switching behaviour & session context (Southeast Asia)

Mobile gaming monetisation model preference & friction (India)

OBJECTIVE

A mid-size mobile game publisher needed to map how casual players , mid-core players , and hardcore players respond to competing monetisation models, specifically battle passes , in-app purchases , and ad-supported free play , and how tolerance for each model shifts across session frequency and spend tier.

WHAT WE DID

Ran a structured quant survey across 1,200 mobile gamers in six Indian cities, capturing spend triggers , drop-off points by monetisation format , perceived value of virtual goods , and willingness-to-pay corridors segmented by session length and device tier .

DELIVERED

A monetisation preference map by player segment, a friction list ranking the top barriers to first purchase by model type, and a pricing corridor for battle pass tiers calibrated against spend behaviour across casual and mid-core audiences.
CASELET 1

Mobile gaming monetisation model preference & friction (India)

CASELET 2

Cross-platform genre switching behaviour & session context (Southeast Asia)

Mobile gaming monetisation model preference & friction (India)

OBJECTIVE

A mid-size mobile game publisher needed to map how casual players , mid-core players , and hardcore players respond to competing monetisation models, specifically battle passes , in-app purchases , and ad-supported free play , and how tolerance for each model shifts across session frequency and spend tier.

WHAT WE DID

Ran a structured quant survey across 1,200 mobile gamers in six Indian cities, capturing spend triggers , drop-off points by monetisation format , perceived value of virtual goods , and willingness-to-pay corridors segmented by session length and device tier .

DELIVERED

A monetisation preference map by player segment, a friction list ranking the top barriers to first purchase by model type, and a pricing corridor for battle pass tiers calibrated against spend behaviour across casual and mid-core audiences.

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 mobile gamers, mid-core console players and hardcore PC gamers?

How will you measure genre preference beyond simple ratings?

Will the survey map the full player journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our title launch and live-ops strategy?

Still have questions?

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

Book a Discovery Call