Gaming In-App Purchase Behaviour Survey
Measure how mobile and PC gamers evaluate, compare, and choose in-app purchases across price points, content types, and spend triggers, so you can sharpen conversion strategy, benchmark monetisation segments, and fix pricing architecture.
CONTEXT & RELEVANCE
Why run this survey now
Most mobile game monetisation leads don't lose spenders purely on price. They lose them due to poorly timed offer windows, misread player progression signals, friction at the payment step, weak spend-tier segmentation, and irrelevant bundle design, none of which fully show up in DAU dashboards or store revenue reports.
If you are...
- Mobile game monetisation lead
- Live ops vs UA budget tension
- F2P title scaling revenue
- Game economy designer
- Publisher commercial strategy head
You're likely facing...
- Conversion drop at first purchase
- Whale vs casual spend gap
- Offer fatigue: timing vs relevance
- Bundle pricing vs perceived value
- Payer churn after first 30 days
This will help answer...
- First purchase conversion triggers
- Spend-tier segment boundaries
- Optimal offer timing by genre
- Price ceiling by player cohort
- Repeat purchase vs churn signals
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete player journey from first session to high-value spender.
Discovery & Onboarding
- First-install trigger channels
- Early session-to-purchase gap
Purchase Triggers
- Spend-decision moment types
- Emotional vs. functional motivators
IAP Category Mix
- Cosmetic vs. progression spend split
- Battle pass vs. direct purchase preference
Pricing & WTP
- Acceptable spend thresholds per session
- Bundle pricing vs. single-item preference
Spend Barriers
- Checkout abandonment friction points
- Trust gaps at payment stage
Monetisation Fairness
- Pay-to-win perception by genre
- Spend regret frequency and drivers
Retention & Reactivation
- Lapsed-player re-engagement offers
- Spend frequency across player lifecycle
Platform & Switching
- Mobile vs. PC vs. console spend split
- Cross-platform purchase portability expectations
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.
METHODOLOGY
Survey approach
For the Gaming In-App Purchase Behaviour Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across player segments and spend tiers.
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
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
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
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
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 mobile gaming and digital monetisation space.
Virtual currency spend triggers & segment pricing corridors (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Virtual currency spend triggers & segment pricing corridors (India)
Lapsed-player reactivation messaging & channel strategy (Southeast Asia)
Virtual currency spend triggers & segment pricing corridors (India)
OBJECTIVE
A mid-size mobile game publisher needed to identify how casual spenders , mid-core buyers , and high-frequency whales differ in their spend trigger events , preferred bundle sizes, and tolerance for hard-currency paywalls .
WHAT WE DID
Ran a structured quant survey across 800 active players in four metro and two Tier-2 cities, capturing purchase frequency , bundle size preference , trigger context , payment method , and stated willingness to pay at five price points per segment.
DELIVERED
A segment-level pricing corridor for three spender archetypes, a trigger-context map linking spend events to in-game moments, and a ranked list of bundle configuration levers by segment and platform type.
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 spenders, mid-core buyers and high-value whale segments?
How will you measure purchase intent beyond simple ratings?
Will the survey map the full in-app purchase journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our live-ops and seasonal monetisation calendar?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.