MEDIA & AUDIO CONTENT

Podcast Listening Behaviour Survey

Podcast listeners evaluate, compare, and choose shows based on format preference, host credibility, and episode length, so you can sharpen content positioning, refine audience segmentation, and convert passive listeners into loyal subscribers.

Pan-India sample
Podcast listeners (Active Weekly Listeners)
15-20 min
Talk to a Survey Consultant
Discovery friction & drop-offsIdentify where listeners disengage, skip episodes, or abandon new shows.
Format preference & loyalty driversBenchmark episode length, release cadence, and host style against retention signals.
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CONTEXT & RELEVANCE

Why run this survey now

Most podcast advertisers don't lose listeners purely on content quality. They lose them due to format mismatch, platform fragmentation, ad load fatigue, host credibility gaps, and episode cadence misalignment, none of which fully show up in streaming analytics dashboards or social listening tools.

If you are...

  • Podcast ad revenue planning lead
  • Audio content strategy director
  • Branded podcast commissioning team
  • Programmatic audio buying head
  • Podcast network audience growth lead

You're likely facing...

  • Platform loyalty vs discovery tension
  • Ad skip rates: mid-roll vs pre-roll
  • Niche shows vs broad reach tradeoff
  • Listener retention: weekly vs binge formats
  • Host-read vs produced ad perception gap

This will help answer...

  • Primary platform preference by segment
  • Drop-off point within episodes
  • Genre loyalty vs format loyalty
  • Ad tolerance threshold by listener type
  • Subscription vs free tier switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete podcast listener journey from first discovery to habitual subscription.

TENETS 01

Discovery & Awareness

  • First-touch discovery channels
  • Word-of-mouth vs. algorithmic reach
TENETS 02

Genre & Format

  • Preferred content categories
  • Episode length vs. format type
TENETS 03

Listening Habits

  • Session frequency and duration
  • Context of listening occasions
TENETS 04

Platform & Device

  • Primary streaming app preference
  • Device type and switching behaviour
TENETS 05

Monetisation & Ads

  • Ad tolerance vs. skip behaviour
  • Paid subscription willingness
TENETS 06

Loyalty & Retention

  • Subscription and follow-through rates
  • Drop-off triggers across episodes
TENETS 07

Host & Credibility

  • Host expertise and trust signals
  • Guest credibility as retention driver
TENETS 08

Sharing & Advocacy

  • Episode sharing triggers and channels
  • Community participation and referral intent

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 Podcast Listening Behaviour Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across listener segments and platforms.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measuring platform preference and weekly listening frequency.
2
Ranking content genres by audience segment.
3
Benchmarking ad recall across listener cohorts.
Deliverables
Genre preference ranking
Platform usage matrix
Listener segment profiles
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older or low-digital listeners with limited app usage.
2
Quick pulse across regional and vernacular listener clusters.
Deliverables
Regional listener coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Heavy listeners and paid subscription cohorts needing verification.
2
Contextual mapping of commute and at-home listening environments.
Deliverables
Cohort journey maps
Context-rich profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
Format 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, supported by CATI to capture regional and low-digital listener segments underrepresented in panel pools.
Consider adding: FGDs for a targeted round with heavy listeners and paid subscribers to sharpen content format positioning and ad-load tolerance thresholds.

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 audio content and digital media space.

CASELET 1

Podcast ad format preference & skip behaviour (India)

CASELET 2

Podcast genre loyalty & churn triggers among working professionals (India)

Podcast ad format preference & skip behaviour (India)

OBJECTIVE

A digital audio platform needed to map how daily commuter listeners and weekend binge listeners respond to host-read ads versus programmatic mid-rolls , and which format triggers skip intent versus sustained attention.

WHAT WE DID

Ran a quant survey across 600 smartphone podcast users in 6 metros, capturing ad recall by placement position , skip frequency by ad length , trust differential by ad voice , and stated willingness to accept ads in exchange for free content.

DELIVERED

A format preference map by listener segment, a ranked skip-trigger list by ad type and duration, and a set of placement corridors identifying the episode timestamps with the lowest skip probability across both listener cohorts.
CASELET 1

Podcast ad format preference & skip behaviour (India)

CASELET 2

Podcast genre loyalty & churn triggers among working professionals (India)

Podcast ad format preference & skip behaviour (India)

OBJECTIVE

A digital audio platform needed to map how daily commuter listeners and weekend binge listeners respond to host-read ads versus programmatic mid-rolls , and which format triggers skip intent versus sustained attention.

WHAT WE DID

Ran a quant survey across 600 smartphone podcast users in 6 metros, capturing ad recall by placement position , skip frequency by ad length , trust differential by ad voice , and stated willingness to accept ads in exchange for free content.

DELIVERED

A format preference map by listener segment, a ranked skip-trigger list by ad type and duration, and a set of placement corridors identifying the episode timestamps with the lowest skip probability across both listener cohorts.

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 daily listeners, weekly listeners and occasional listeners?

How will you measure platform preference beyond simple ratings?

Will the survey map the full podcast discovery and retention journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our audience monetisation and content commissioning strategy?

Still have questions?

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

Book a Discovery Call