MEDIA & AUDIENCE INTELLIGENCE

News Source & Media Consumption Behaviour Survey

Map how news audiences evaluate, choose, and shift between digital, print, and broadcast sources, so you can sharpen channel positioning, fix acquisition gaps, and benchmark content conversion by segment.

Pan-India sample
News consumers (Active Daily Readers/Viewers)
15-20 min
Talk to a Survey Consultant
Platform switching & drop-offsIdentify where audiences disengage, migrate platforms, or abandon preferred news sources.
Source trust & format preferenceRank credibility signals, format preferences, and consumption frequency across audience segments.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most media planners don't lose audience share purely on content quality. They lose it due to platform fragmentation, shifting trust hierarchies, format preference gaps, generational consumption splits, and paywall tolerance differences, none of which fully show up in web analytics dashboards or social listening tools.

If you are...

  • News publisher vs digital-native rival
  • Broadcaster losing streaming ground
  • Content or editorial strategy lead
  • Media monetisation or revenue head
  • Brand media planning teams

You're likely facing...

  • Platform trust gap: print vs digital
  • Drop-offs at paywall or registration
  • Broadcast = credible/declining perception
  • Social news = fast/unreliable perception
  • Loyalty erosion across age segments

This will help answer...

  • Primary source preference by segment
  • Paywall tolerance and conversion triggers
  • Format preference: text vs video vs audio
  • Trust drivers by platform type
  • Switching and churn signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete news consumer journey from first source contact to habitual daily reliance.

TENETS 01

Source Discovery

  • First news source encountered
  • Discovery channel by age cohort
TENETS 02

Platform Preference

  • Primary platform by content format
  • App vs. browser consumption split
TENETS 03

Consumption Frequency

  • Daily session count and duration
  • Peak consumption time slots
TENETS 04

Trust & Credibility

  • Source credibility signals relied upon
  • Misinformation encounter frequency
TENETS 05

Content & Topics

  • Topic category priority ranking
  • Local vs. national vs. global split
TENETS 06

Paywall & Pricing

  • Paid subscription willingness by tier
  • Paywall friction and drop-off triggers
TENETS 07

Social & Sharing

  • News sharing behaviour by platform
  • Peer influence on source adoption
TENETS 08

Loyalty & Switching

  • Primary source retention over 12 months
  • Competitor source trial frequency

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?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the News Source and Media Consumption Behaviour Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking news sources by daily reach and trust
2
Mapping platform preference by age and income segment
3
Quantifying time spent across digital and print formats
Deliverables
Source preference ranking
Platform usage matrix
Consumption frequency bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older or low-digital audiences consuming traditional media
2
Quick coverage across smaller towns and rural markets
Deliverables
Offline audience profile
Regional reach diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-influence segments requiring verified media habit data
2
Cohorts with complex multi-platform consumption patterns
Deliverables
Cohort consumption maps
Verified habit profiles
OPTIONAL
FGDs
Deliverables
Trust themes and quotes
Format preference 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 low-digital and older audience segments with limited online presence.
Consider adding: FGDs for a targeted segment of high-frequency news consumers to isolate trust signals and sharpen platform positioning for editorial and commercial teams.

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 media consumption and news behaviour space.

CASELET 1

Digital news platform preference & audience segmentation (India)

CASELET 2

Advertiser message receptivity across news consumption contexts (South Asia)

Digital news platform preference & audience segmentation (India)

OBJECTIVE

A mid-size digital publisher needed to identify how urban news consumers across age cohorts (18 to 34, 35 to 54) allocate attention between short-form video news , text-based articles , and audio bulletins , and what drives platform stickiness versus switching.

WHAT WE DID

Ran a structured quant survey across 6 metros with 1,200 respondents, capturing daily session frequency , content format preference by time-of-day , trust ratings by source type , and stated reasons for abandoning a primary news platform within the past 90 days.

DELIVERED

A format preference map by age and city tier, a ranked trust driver framework across source types, a switching trigger list segmented by cohort, and a set of content positioning territories to sharpen editorial and product decisions.
CASELET 1

Digital news platform preference & audience segmentation (India)

CASELET 2

Advertiser message receptivity across news consumption contexts (South Asia)

Digital news platform preference & audience segmentation (India)

OBJECTIVE

A mid-size digital publisher needed to identify how urban news consumers across age cohorts (18 to 34, 35 to 54) allocate attention between short-form video news , text-based articles , and audio bulletins , and what drives platform stickiness versus switching.

WHAT WE DID

Ran a structured quant survey across 6 metros with 1,200 respondents, capturing daily session frequency , content format preference by time-of-day , trust ratings by source type , and stated reasons for abandoning a primary news platform within the past 90 days.

DELIVERED

A format preference map by age and city tier, a ranked trust driver framework across source types, a switching trigger list segmented by cohort, and a set of content positioning territories to sharpen editorial and product decisions.

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 digital-native readers, broadcast-first viewers and print-loyal audiences?

How will you measure source preference beyond simple ratings?

Will the survey map the full news consumption journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our audience monetisation and advertiser pitch?

Still have questions?

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

Book a Discovery Call