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Home ❯Ken Survey ❯BRAND PERCEPTION SURVEY ❯
PHARMA & HEALTHCARE

Physician Brand Preference Study

Understand how physicians evaluate clinical evidence, compare therapy brands, and choose treatments across patient profiles, so you can sharpen positioning, improve field-force conversion, and prioritise high-potential prescriber segments with greater precision.

Pan-India physicians
Physicians (Prescribing clinicians)
15-20 min
Talk to a Survey Consultant
Trial & AdoptionIdentify brand barriers limiting physician trial, adoption, and repeat prescribing.
Evidence & DifferentiationMap evidence cues shaping perceived efficacy, safety, and differentiation.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31
container image

CONTEXT & RELEVANCE

Why run this survey now

Most pharmaceutical brands don't lose prescriptions purely on product efficacy. They underperform due to weak evidence recall, unclear differentiation, access constraints, field-force inconsistency, and patient suitability concerns, none of which show up in sales dashboards or prescription audits.

If you are...

  • Pharmaceutical brand directors
  • Commercial excellence leaders
  • Medical affairs teams
  • Field force leadership

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete physician brand decision journey from awareness to repeat prescribing.

TENETS 01

Awareness & Recall

  • Unaided brand salience
  • Channel-specific message recall
TENETS 02

Consideration Set

  • Shortlist formation drivers
  • Competitive substitution patterns
TENETS 03

Clinical Evidence

  • Efficacy proof requirements
  • Safety confidence thresholds
TENETS 04

Patient Fit

  • Eligible patient profiles
  • Comorbidity suitability boundaries
TENETS 05

Brand Differentiation

  • Perceived clinical distinctiveness
  • Practical treatment advantages
TENETS 06

Access & Affordability

  • Formulary access constraints
  • Patient affordability trade-offs
TENETS 07

Field Engagement

  • Representative interaction quality
  • Scientific content usefulness
TENETS 08

Adoption & Loyalty

  • Trial-to-repeat conversion
  • Switching resistance drivers
Request a scope validation call

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?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
Specialist physiciansGeneral practitionersHospital consultantsPrivate practitionersKey opinion leaders
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Specialty: cardiology vs diabetology vs general medicineExperience: under 5 years vs 5-15 years vs 16+ yearsPractice setting: government hospital vs private hospital vs clinicPrescription volume: low vs medium vs highBrand usage: non-user vs trialist vs loyal prescriber
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
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

METHODOLOGY

Survey approach

For Physician Brand Preference Study, we recommend a quant-led physician survey with flexible data-collection modes to balance reach, depth, and verification across specialties, practice settings, and prescribing intensity.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Benchmark specialty-level brand preference
2
Quantify prescribing trigger hierarchy
3
Compare competitor consideration patterns
Deliverables
Brand preference map
Prescriber segment profiles

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

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
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 pharmaceutical physician engagement space.

CASELET 1

Physician Scientific Engagement Channel Effectiveness Across Specialties (India)

CASELET 2

Therapy Support Service Design for Chronic Care (India)

Physician Scientific Engagement Channel Effectiveness Across Specialties (India)

OBJECTIVE

A pan-India pharmaceutical company needed to understand how cardiologists , diabetologists , and general physicians engaged with representative visits, webinars, conferences, and journals, focusing on channel reach, content recall, interaction quality, and preferred contact frequency.

WHAT WE DID

We conducted a structured online survey with 620 physicians, stratified by specialty, city tier, and practice setting, capturing channel exposure , message usefulness , representative credibility , event participation, digital engagement, and future interaction preferences.

DELIVERED

The engagement delivered a channel preference map , specialty-level contact cadence , content recall scorecard , and message territories , clarifying where scientific communication required different formats, frequencies, and proof points across physician cohorts.
Talk to Survey Consultant
CASELET 1

Physician Scientific Engagement Channel Effectiveness Across Specialties (India)

CASELET 2

Therapy Support Service Design for Chronic Care (India)

Physician Scientific Engagement Channel Effectiveness Across Specialties (India)

OBJECTIVE

A pan-India pharmaceutical company needed to understand how cardiologists , diabetologists , and general physicians engaged with representative visits, webinars, conferences, and journals, focusing on channel reach, content recall, interaction quality, and preferred contact frequency.

WHAT WE DID

We conducted a structured online survey with 620 physicians, stratified by specialty, city tier, and practice setting, capturing channel exposure , message usefulness , representative credibility , event participation, digital engagement, and future interaction preferences.

DELIVERED

The engagement delivered a channel preference map , specialty-level contact cadence , content recall scorecard , and message territories , clarifying where scientific communication required different formats, frequencies, and proof points across physician 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 specialists, general practitioners and hospital consultants?

How will you measure physician brand preference beyond simple ratings?

Will the survey map the full physician prescribing journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our physician acquisition and prescribing conversion?

Still have questions?

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

Book a Discovery Call

  • Market research managers
  • You're likely facing...

    • Strong clinical profile but weak prescribing conversion among priority physicians
    • High awareness with limited brand differentiation across crowded therapy classes
    • Inconsistent representative engagement causes uneven message recall across territories
    • Growing access restrictions reduce preferred brand availability at prescribing moments
    • Positive treatment experience without sustained repeat prescribing across patient types

    This will help answer...

    • Prescribing trigger hierarchy
    • Brand consideration pathways
    • Evidence credibility gaps
    • Segment-specific message levers
    • Field-force opportunity priorities
    Message driver matrix
    OPTIONAL
    CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
    Best for
    1
    Reaching senior physicians with limited online availability
    2
    Validating responses from low-incidence specialties
    Deliverables
    Specialty call dataset
    Verified response cuts
    SELECTIVE
    Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
    Best for
    1
    Engaging physicians within high-volume hospital clusters
    2
    Exploring prescribing context during clinic visits
    Deliverables
    Hospital cluster map
    Practice context notes
    OPTIONAL
    FGDs
    Best for
    1
    Uncover peer dynamics behind therapy brand switching
    2
    Decode language physicians use to justify prescriptions
    Deliverables
    Message territory framework
    Switching rationale map
    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 across priority specialties and prescribing-volume quotas
    Consider adding: CATI for senior specialists and low-incidence physician cohorts
    Confirm approach
    Request timeline