TL;DR
- Pharma market research helps brand managers, commercial heads, and sales-force effectiveness (SFE) teams make informed decisions about product launches, pricing, positioning, and field-force priorities.
- Sales data shows product performance, but it may not explain why doctors prefer one brand over another or how prescribing behaviour changes.
- Companies combine primary research, such as doctor and patient interviews, with secondary research, such as prescription audits, retail audits, published reports, and syndicated market data.
- In some Indian private OPDs, handwritten prescriptions may not be consistently available in structured digital datasets. This can limit visibility into prescribing patterns across certain settings and geographies.
- WONDRx Smart Rx digitises handwritten prescriptions while allowing doctors to continue writing on paper. With appropriate permissions, data quality checks, and agreements, this information can complement pharma market research.
Pharmaceutical companies make important commercial decisions about product launches, pricing, brand positioning, and field-force deployment. These decisions require an understanding of more than sales performance alone.
Sales figures can show how a product is performing, but they may not explain why doctors prescribe one brand over another, why they switch treatments, or how patient needs influence prescribing decisions.
Pharma market research helps address these questions by combining primary research, such as doctor and patient interviews, with secondary research, such as prescription audits, retail audits, published reports, and syndicated market data.
In India, one potential challenge is the availability of structured prescription information from some private outpatient departments (OPDs), particularly where handwritten prescriptions are not consistently digitised.
This guide explains what pharma market research covers, which business decisions it supports, the methods companies use, and how digitised prescription information can add another source of insight.
Also Read,
- Pharma Competitive Intelligence: How Better Prescription Data
- Pharmaceutical Marketing in India: Strategies
- E Detailing in Pharma: How Digital Tools Are Transforming HCP
What Does Pharma Market Research Actually Cover?
Pharma market research typically covers four key areas, each helping pharmaceutical companies understand market opportunities and make better commercial decisions.
1. Market Size and Opportunity: Evaluates the size of a therapy area, its growth potential, and untapped opportunities across different cities, regions, and patient segments. This helps pharmaceutical companies assess market demand and determine whether a particular molecule or product is worth pursuing.
2. Prescriber Insight: Examines why doctors choose one brand over another, what influences their prescribing decisions, why they switch brands, and which product claims they find convincing. Sales data alone cannot fully explain these decisions. Doctor interviews, surveys, and observational research help uncover prescribing preferences, while prescription data provides evidence of actual prescribing behaviour.
3. Patient Insight: Explores how patients perceive their medical conditions, what influences their treatment decisions, why they discontinue treatment, and how much they can afford to spend on healthcare. This insight is particularly important for pricing decisions in India, where out-of-pocket healthcare spending is common.
4. Competitor and Channel Intelligence: Tracks competing brands, their market positioning, promotional strategies, and activities. It also examines how stockists, distributors, pharmacies, and chemists influence product availability, distribution, and sales.
Which Business Decisions Does It Improve?
Research earns its budget when it is tied to a specific decision. These are ones it supports most directly.
Should We Launch This Product, and Where?
Research is conducted before a product launches to determine if a clinician has a real need for the product, and if clinicians perceive the product as different from the products they are already prescribing. It also indicates which geographies are ready. A brand that sells in Mumbai might not sell in a district town that has different pricing and habits.
How Should We Price It?
When considering price sensitivity, there’s a big difference between a metro specialist and a general practitioner in a small town. Surveys and interviews with doctors, pharmacists, and patients can help researchers understand how price influences prescribing preferences, dispensing decisions, and patients’ willingness to pay. Perceived effectiveness, affordability, availability, and clinical suitability may also influence these decisions.
Which Doctors Should Field Force Visit?
One of the highest expenses of any Indian pharma company is field force effort. To enable SFE teams to prioritise the doctors, eliminate low value calls and guide Medical Representatives to those who can drive a brand, research on volume and brand preference is useful. Poor data becomes a serious problem when call plans are based on guesswork. Medical Representatives may spend valuable time visiting doctors who are unlikely to prescribe the brand, while higher-potential doctors receive less attention.
Is Our Messaging Working?
Message testing shows whether a claim lands with doctors or sounds like every other detail aid. Teams use it to fix positioning before printing materials and training field force on them.
Why Is a Brand Underperforming?
When a brand underperforms, internal sales data can show where and when performance changed. Research can help investigate possible reasons, such as competitor activity, concerns about safety, stock shortages, or unmet prescriber needs
What Methods Do Pharma Companies Use?
Pharma market research commonly combines primary and secondary research. The right mix depends on the business question, the quality of existing data, and the evidence needed to make a decision.
Primary Research
Primary research is data collected fresh for the question at hand.
- In depth interviews with specialists, GPs, pharmacists, and patients reveal motivations that surveys miss.
- Quantitative surveys of a larger doctor sample measure how widespread an attitude is.
- Focus groups work well for testing concepts, packaging, and messaging.
- Ethnographic observation of how a consultation really runs shows constraints no survey would surface, such as a doctor having only a few minutes per patient.
Secondary Research
Secondary research is undertaken to collect information already available, such as prescription audits, retail and chemist audits, stockist data, government and regulatory reports, published studies and syndicated market data. It’s quicker and more cost-effective than primary research, and it provides a starting point for primary research.
Which One Should You Start With?
Start with secondary research to understand the baseline, then use primary research to answer questions numbers raise. Running primary research first often means paying to rediscover what an audit already shows.
Where Does Market Research in the Pharma Industry Fall Short in India?
The coverage of pharmaceutical market data in India can vary by provider, geography, therapy area, and data source. Some datasets may offer limited visibility into prescribing practices at private outpatient clinics, particularly in smaller cities and towns.
One challenge is that many doctors continue to write prescriptions by hand. Where these prescriptions are not digitised or captured through appropriate research systems, the information may not be available in structured datasets used for market analysis.
This can limit researchers’ visibility into certain aspects of prescribing behaviour, including brand choices, combinations of prescribed medicines, and treatment patterns. Pharmacy and stockist data can help estimate market demand, but they do not necessarily identify the prescribing doctor or explain the reasons behind a prescribing decision.
Different research sources answer different questions. Surveys and interviews can help explain doctors’ reported preferences, while appropriately collected prescription records can provide evidence of recorded prescribing behaviour. Comparing these sources may help researchers identify differences between reported preferences and observed patterns.
The extent of this gap should be assessed for each therapy area, geography, and research dataset rather than assumed to be the same across the Indian market.
How Can Prescription Data Strengthen Pharma Market Research?
Prescription data can help researchers compare doctors’ stated preferences with recorded prescribing behaviour. Depending on the information available, it may also help identify prescribing patterns, combinations of prescribed medicines, and changes over time.
Prescription information can be collected through different routes, including prescription audits and electronic records. However, systems that require doctors to type prescriptions may introduce additional steps into busy outpatient consultations.
WONDRx offers a different approach through its Smart Rx Kit. It combines a Digital Pen with specially designed prescription sheets, allowing doctors to continue writing prescriptions by hand while the system captures a digital copy.
This approach is designed to fit into the doctor’s existing paper-based prescribing workflow rather than require a complete shift to typing prescriptions.
Where the appropriate permissions, consent arrangements, and data-sharing agreements are in place, digitised prescription information from participating clinics may provide an additional source for analysing prescribing patterns.
Digitisation is only the first step. Researchers must also assess the accuracy of captured medicine names and other relevant fields, the representativeness of participating clinics, the suitability of the data for the research question, and whether the proposed analysis and sharing are permitted.
For pharmaceutical companies, this creates an opportunity to consider prescription-level information alongside surveys, audits, sales data, and other research sources without treating any single dataset as a complete picture of the market.
How Should a Pharma Team Plan a Research Project?
A short, disciplined process beats an ambitious one.
- Write a decision first. “Should we extend this brand to Tier 2 cities?” is a research question. “Understand market” is not.
- Check what you already have. Internal sales, past studies, and existing audits often answer part of the question.
- Choose a method that fits the question. Motivation needs interviews. Prevalence needs a survey. Behaviour needs prescription data.
- Set samples carefully. Include doctors, pharmacists, and towns that match where brands will sell, not only ones that are easy to reach.
- Plan for compliance. Research teams should assess their obligations under India’s Digital Personal Data Protection Act, 2023, and applicable rules, taking into account the type of data collected, how it is processed, and whether it identifies an individual. They should also follow relevant research ethics requirements and applicable pharmaceutical marketing codes.
- Convert findings into actions. Every finding should end with who does what next, with a date.
What Mistakes Reduce the Value of Pharma Market Research?
- Treating sales data as the complete picture: Sales data shows commercial outcomes but may not explain the reasons behind prescribing choices or changes in demand.
- Over-representing metropolitan markets: Research focused mainly on metro specialists may not reflect doctors and patients in smaller towns, where practice settings, affordability, and access can differ.
- Starting research without a defined decision: A study without a clear business question can produce a report that is difficult to translate into action.
- Relying only on stated behaviour: Interviews and surveys provide useful insights, but responses may not always match recorded behaviour. Where appropriate data is available, comparing different sources can provide additional context.
- Using outdated findings: Prescribing patterns, competitor activity, prices, and market conditions can change. Research should be reviewed and refreshed when significant market developments make earlier findings less relevant.
Conclusion
Pharma market research helps companies make better-informed decisions about product launches, pricing, positioning, doctor engagement, and field-force priorities. Combining primary and secondary research with reliable data can help teams test assumptions and understand market behaviour more effectively
However, the quality of research depends on the quality and coverage of the information available. In some private OPD settings, handwritten prescriptions may not be consistently available in structured digital datasets.
WONDRx Smart Rx addresses this digitisation challenge by allowing doctors to continue writing prescriptions on paper while capturing a digital copy through its Digital Pen and specially designed prescription sheets.
Where the necessary permissions, data quality, and sharing arrangements are in place, this information may complement existing market research sources and support analysis of prescribing patterns at participating clinics.
If your team is looking to improve visibility into handwritten prescriptions from private OPDs, explore WONDRx Smart Rx and request a demo to understand how it works in clinical settings.
