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

Pharmacy Retail Brand Loyalty Survey

Help pharmacy retail leaders evaluate store choice, compare service experiences, and navigate prescription fulfilment, pricing, availability, and trust, so you can strengthen acquisition, sharpen positioning, and improve customer retention across physical and digital channels.

Pan-India sample
Pharmacy shoppers (Purchase decision-makers)
15-20 min
Talk to a Survey Consultant
Repeat Purchase & ConversionIdentify loyalty drivers that convert occasional shoppers into repeat customers.
Switching & RetentionMap switching triggers across price, availability, service, and trust.
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 pharmacy shoppers don't lose loyalty purely on medicine prices. They switch due to stock-outs, uneven pharmacist support, opaque discounts, delayed fulfilment, and weak omnichannel continuity, none of which fully show up in sales reports or satisfaction scores.

If you are...

  • Pharmacy chain leadership
  • Retail operations heads
  • Customer experience teams
  • Category & pricing managers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete pharmacy loyalty journey from need recognition to repeat purchase.

TENETS 01

Store Choice

  • Proximity & access cues
  • Brand familiarity & recall
TENETS 02

Purchase Missions

  • Routine refill patterns
  • Urgent purchase occasions
TENETS 03

Availability & Fulfilment

  • Prescription stock reliability
  • Substitution & partial fulfilment
TENETS 04

Pricing & Value

  • Discount transparency & fairness
  • Membership value perception
TENETS 05

Pharmacist & Service

  • Pharmacist guidance quality
  • Checkout & delivery assistance
TENETS 06

Omnichannel Experience

  • App-store journey continuity
  • Order tracking & pickup
TENETS 07

Trust & Advocacy

  • Medicine authenticity confidence
  • Privacy & data assurance
TENETS 08

Loyalty & Switching

  • Repeat purchase intent
  • Competitor switching triggers
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?
Prescription medicine buyersChronic therapy patientsOTC health shoppersCaregiver purchasersOnline pharmacy users
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Purchase frequency: Weekly vs monthly vs occasionalChannel: Store-only vs app-led vs hybridTherapy need: Acute vs chronic vs preventiveMonthly spend: Below ₹1k vs ₹1k-3k vs above ₹3kLoyalty status: Loyalists vs switchers vs multi-brand users
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 Pharmacy Retail Brand Loyalty Survey, we recommend a quantitative-first hybrid approach with flexible data-collection modes to balance reach, depth, and verification across store-led, app-led, chronic-care, and occasional pharmacy shoppers.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measure loyalty across pharmacy shopper segments
2
Compare store and app experiences
3
Quantify switching and retention drivers
Deliverables
Loyalty driver model
Segment scorecards

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 pharmacy retail space.

CASELET 1

Pharmacy Delivery Proposition Benchmarking Across Urban Shoppers (India)

CASELET 2

Private Label Wellness Range Concept Exploration Among Families (India)

Pharmacy Delivery Proposition Benchmarking Across Urban Shoppers (India)

OBJECTIVE

A pan-India pharmacy platform needed to understand how urban prescription buyers , caregivers , and OTC shoppers compared same-day delivery , scheduled delivery , and store pickup when selecting fulfilment options for planned and urgent purchases.

WHAT WE DID

We ran an online survey with 900 respondents across six metros, capturing mission type , delivery urgency , fee tolerance, basket composition, substitution acceptance, and channel usage, with quotas for age, household role, and recurring therapy status.

DELIVERED

The study produced a fulfilment preference map , fee sensitivity corridors , mission-based segment profiles, and a channel proposition matrix showing which delivery promises, pickup choices, and communication cues mattered across urgent and routine pharmacy missions.
Talk to Survey Consultant
CASELET 1

Pharmacy Delivery Proposition Benchmarking Across Urban Shoppers (India)

CASELET 2

Private Label Wellness Range Concept Exploration Among Families (India)

Pharmacy Delivery Proposition Benchmarking Across Urban Shoppers (India)

OBJECTIVE

A pan-India pharmacy platform needed to understand how urban prescription buyers , caregivers , and OTC shoppers compared same-day delivery , scheduled delivery , and store pickup when selecting fulfilment options for planned and urgent purchases.

WHAT WE DID

We ran an online survey with 900 respondents across six metros, capturing mission type , delivery urgency , fee tolerance, basket composition, substitution acceptance, and channel usage, with quotas for age, household role, and recurring therapy status.

DELIVERED

The study produced a fulfilment preference map , fee sensitivity corridors , mission-based segment profiles, and a channel proposition matrix showing which delivery promises, pickup choices, and communication cues mattered across urgent and routine pharmacy missions.

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 chronic-care patients, acute medicine buyers and wellness shoppers?

How will you measure pharmacy brand preference beyond simple ratings?

Will the survey map the full pharmacy purchase journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our repeat-purchase and retention strategy?

Still have questions?

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

Book a Discovery Call
  • Digital commerce owners
  • You're likely facing...

    • Strong store awareness but weak repeat purchase across neighbourhood catchments
    • Frequent stock-outs create avoidable customer switching to nearby competitors
    • Inconsistent pharmacist interactions produce uneven service trust across outlets
    • Promotional complexity drives low offer clarity despite attractive discounts
    • Digital and store journeys remain disconnected, limiting loyalty retention

    This will help answer...

    • Primary loyalty drivers
    • Critical switching triggers
    • Outlet experience gaps
    • Offer sensitivity segments
    • Omnichannel retention levers
    Switching trigger map
    OPTIONAL
    CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
    Best for
    1
    Frequent medicine buyers with limited digital access
    2
    Older chronic-care shoppers needing interviewer support
    Deliverables
    Assisted response dataset
    Chronic-care cuts
    SELECTIVE
    Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
    Best for
    1
    Customers interviewed near pharmacy catchments
    2
    High-value therapy cohorts requiring identity verification
    Deliverables
    Catchment comparison
    Verified cohort profile
    OPTIONAL
    FGDs
    Best for
    1
    Uncover trust narratives behind pharmacist and brand preference
    2
    Explore reactions to membership, delivery, and service concepts
    Deliverables
    Trust narrative map
    Loyalty concept territories
    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 for app-active and urban store shoppers
    Consider adding: CATI for older chronic-care and low-digital cohorts
    Confirm approach
    Request timeline