HEALTHCARE & OTC PHARMA

Chemist & Stockist OTC Pharma Brand Recommendation & Self-Medication Counsel Survey

Map how retail chemists and stockists evaluate, recommend, and choose between OTC pharma brands during self-medication counsel interactions, so you can sharpen brand positioning, fix channel conversion gaps, and benchmark stockist acquisition strategies.

Pan-India sample
Retail chemists & stockists (Counter-Level Decision Makers)
15-20 min
Talk to a Survey Consultant
Recommendation triggers & frictionIdentify where chemists hesitate, switch brands, or override customer requests.
Stockist stocking & margin trade-offsDiagnose which margin structures, schemes, and brand signals drive restocking decisions.
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

CONTEXT & RELEVANCE

Why run this survey now

Most OTC brand managers don't lose chemist recommendations purely on product efficacy. They lose them due to margin structures, stockist push incentives, shelf placement gaps, pharmacist familiarity deficits, and competing brand counsel habits, none of which fully show up in secondary sales data or retail audit reports.

If you are...

  • OTC brand competing at pharmacy counter
  • Stockist margin and push strategy lead
  • Trade marketing or channel head
  • Medical representative field force lead
  • Consumer health portfolio strategy head

You're likely facing...

  • Chemist counsel: brand vs generic gap
  • Stockist push: margin vs loyalty tension
  • Self-medication advice: untracked influence
  • Counter recommendation: inconsistent across geographies
  • Shelf offtake vs actual counsel mismatch

This will help answer...

  • Chemist recommendation drivers by category
  • Counsel drop-off at counter stage
  • Stockist segment push preference
  • Margin vs brand equity trade-off
  • Switching triggers at point of counsel

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete chemist counsel journey from first patient query to repeat brand recommendation.

TENETS 01

Recommendation Triggers

  • Top-of-mind OTC brand recall
  • Symptom-to-brand association patterns
TENETS 02

Brand Preference Drivers

  • Brand vs. generic substitution rate
  • Manufacturer reputation, packaging cues
TENETS 03

Counsel Depth

  • Dosage and contraindication guidance given
  • Self-medication advice scope at counter
TENETS 04

Stockist Influence

  • Stockist push schemes, priority SKUs
  • Supply reliability vs. brand loyalty trade-off
TENETS 05

Margin & Pricing

  • Trade margin expectations by category
  • Price sensitivity at retail counter
TENETS 06

MR Engagement

  • Medical rep visit frequency, quality
  • Detailing impact on counter recommendation
TENETS 07

Patient Trust Signals

  • Customer repeat request by brand name
  • Trust cues driving brand ask-for rate
TENETS 08

Competitive Switching

  • Brand switch triggers at point of sale
  • Competitor inroads by therapeutic 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.

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
Discuss sample plan

METHODOLOGY

Survey approach

For the Chemist & Stockist OTC Pharma Brand Recommendation & Self-Medication Counsel 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 OTC brand recommendation frequency by category
2
Mapping counsel triggers across chemist and stockist tiers
3
Comparing segments by outlet type, city tier, and molecule
Deliverables
Brand rank matrix
Counsel driver scores
Segment comparison cuts
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Semi-urban and rural chemists with low digital access
2
Quick coverage across dispersed stockist networks
Deliverables
Chemist coverage report
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-volume chemists driving disproportionate OTC offtake
2
Stockists managing multi-brand portfolios in key trade hubs
Deliverables
Outlet-level profiles
Trade influence maps
OPTIONAL
FGDs
Deliverables
Themes and verbatims
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 cover semi-urban and rural chemists with limited digital access.
Consider adding: Face-to-face interviews at high-volume trade outlets and a focused FGD layer to pressure-test brand messaging and counsel positioning.

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 OTC pharma retail channel space.

CASELET 1

OTC analgesic brand recall & shelf preference at retail (India)

CASELET 2

Self-medication counsel patterns for antacid & cold SKUs (West India)

OTC analgesic brand recall & shelf preference at retail (India)

OBJECTIVE

A mid-size OTC pharma brand needed to quantify how independent chemists and franchise pharmacy staff rank competing analgesic SKUs at point of dispensing, and which brand cues drive their first-reach decision.

WHAT WE DID

Ran a structured quant survey across 420 retail chemist outlets in 6 cities, capturing unaided brand recall, shelf-placement rationale, margin sensitivity, and frequency of customer-initiated versus staff-initiated brand switches per category.

DELIVERED

A brand recall ranking by outlet tier , a shelf-preference driver map segmented by chemist type, and a switch-trigger list identifying the top 4 conditions under which staff override customer brand requests.
CASELET 1

OTC analgesic brand recall & shelf preference at retail (India)

CASELET 2

Self-medication counsel patterns for antacid & cold SKUs (West India)

OTC analgesic brand recall & shelf preference at retail (India)

OBJECTIVE

A mid-size OTC pharma brand needed to quantify how independent chemists and franchise pharmacy staff rank competing analgesic SKUs at point of dispensing, and which brand cues drive their first-reach decision.

WHAT WE DID

Ran a structured quant survey across 420 retail chemist outlets in 6 cities, capturing unaided brand recall, shelf-placement rationale, margin sensitivity, and frequency of customer-initiated versus staff-initiated brand switches per category.

DELIVERED

A brand recall ranking by outlet tier , a shelf-preference driver map segmented by chemist type, and a switch-trigger list identifying the top 4 conditions under which staff override customer brand requests.

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 standalone chemists, pharmacy chain outlets and wholesale stockists?

How will you measure brand recommendation behaviour beyond simple ratings?

Will the survey map the full self-medication counsel journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our trade activation and field force strategy?

Still have questions?

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

Book a Discovery Call