Ad-Supported vs Premium Content Preference Survey
Streaming audiences evaluate ad load tolerance, subscription pricing, and content access trade-offs across platforms, so you can sharpen acquisition targeting, benchmark pricing tiers, and reduce subscriber churn.
CONTEXT & RELEVANCE
Why run this survey now
Most streaming and media executives don't lose subscribers purely on content volume. They lose them due to ad load tolerance mismatches, tier pricing friction, content exclusivity gaps, platform-switching triggers, and willingness-to-pay miscalibration, none of which fully show up in churn dashboards or platform engagement analytics.
If you are...
- AVOD vs SVOD tier strategist
- Streaming platform monetisation lead
- Content licensing or acquisition head
- Ad revenue and yield manager
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete viewer journey from first content discovery to long-term subscription commitment.
Discovery & Awareness
- First content touchpoint channels
- Ad-supported platform trial triggers
Tier Preference Drivers
- Ad tolerance vs. subscription cost trade-off
- Free tier selection criteria
Ad Experience
- Ad format tolerance by content genre
- Skip behavior and ad fatigue signals
Content & Catalog
- Exclusive content as upgrade trigger
- Catalog depth across ad-supported tiers
Pricing & WTP
- Monthly spend ceiling by tier type
- Bundle pricing sensitivity signals
Upgrade & Churn
- Tier upgrade and downgrade triggers
- Cancellation intent by service type
Platform Trust
- Data privacy concerns on free tiers
- Ad targeting perception and brand trust
Competitive Switching
- Cross-platform switching frequency
- Competitor tier benchmarks by viewer segment
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 Ad-Supported vs Premium Content Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.
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 streaming and digital media space.
Subscription tier preference & willingness-to-pay mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Subscription tier preference & willingness-to-pay mapping (India)
Ad tolerance & content interruption friction study (Southeast Asia)
Subscription tier preference & willingness-to-pay mapping (India)
OBJECTIVE
A regional streaming platform needed to map how light viewers , binge-heavy households , and mobile-first users evaluated subscription tiers, and which pricing thresholds triggered downgrade or cancellation decisions.
WHAT WE DID
Ran a quant survey across 1,200 respondents in 6 Indian metros, capturing tier selection logic , price sensitivity bands , feature trade-off rankings , and stated downgrade triggers by household income segment and device type.
DELIVERED
A pricing corridor by segment, a feature-value trade-off framework ranking which benefits justified premium spend, and a churn-risk segment map identifying the three audience groups most likely to downgrade within 90 days.
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 ad-supported tier subscribers, premium tier subscribers and free ad-only viewers?
How will you measure content tier preference beyond simple ratings?
Will the survey map the full subscription decision journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our tier migration and retention conversion rates?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.