B2B PHARMA & MEDICAL AFFAIRS

B2B Pharma Post-Campaign Satisfaction & Medical Affairs Head Outcome Survey

Medical Affairs Heads and commercial leads evaluate campaign reach, HCP engagement quality, and channel effectiveness across therapeutic areas, so you can sharpen messaging positioning, fix budget allocation, and benchmark conversion across promotional cycles.

Pan-India sample
Pharma commercial teams (Medical Affairs Heads)
15-20 min
Talk to a Survey Consultant
Campaign satisfaction & drop-offsIdentify where HCP engagement stalls, weakens, or breaks across campaign stages.
Outcome benchmarks & channel gapsMeasure Medical Affairs outcome scores against therapeutic area and channel benchmarks.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most Medical Affairs heads don't lose HCP engagement purely on content quality. They lose it due to misaligned campaign objectives, weak KPI frameworks, fragmented field-medical coordination, unclear outcome attribution, and post-campaign feedback gaps, none of which fully show up in CRM activity logs or medical information request trackers.

If you are...

  • Medical Affairs head, post-launch review
  • Pharma brand team, campaign debrief
  • MSL or field-medical leadership
  • Commercial-medical alignment lead
  • Pharma strategy or portfolio director

You're likely facing...

  • HCP satisfaction scores: unclear root cause
  • Campaign ROI vs. medical outcome gap
  • MSL impact: activity vs. perception mismatch
  • KOL engagement drop post-campaign
  • Medical vs. commercial priority friction

This will help answer...

  • HCP satisfaction drivers by segment
  • Campaign touchpoint drop-off stage
  • MSL credibility vs. content quality
  • Outcome attribution by channel
  • Re-engagement and retention triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete Medical Affairs campaign journey from briefing to outcome attribution.

TENETS 01

Campaign Recall & Reach

  • Aided vs. unaided recall rates
  • Channel reach across HCP segments
TENETS 02

Message Clarity & Fit

  • Clinical message relevance to practice
  • Alignment with prescribing context
TENETS 03

MSL Engagement Quality

  • MSL scientific exchange depth
  • Follow-up responsiveness post-visit
TENETS 04

Content & Evidence Gaps

  • Missing evidence types by specialty
  • Unmet data requests post-campaign
TENETS 05

Prescribing Intent Shift

  • Pre- vs. post-campaign prescribing intent
  • Barriers to first-prescription conversion
TENETS 06

KOL & Peer Influence

  • KOL credibility ratings by therapeutic area
  • Peer network amplification of campaign content
TENETS 07

Satisfaction & Trust

  • Overall Medical Affairs partner trust score
  • Satisfaction drivers by interaction type
TENETS 08

Outcome Attribution

  • Campaign-to-prescription attribution clarity
  • Measurable behavior change post-engagement

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 B2B Pharma Post-Campaign Satisfaction & Medical Affairs Head Outcome 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
Rating campaign satisfaction across therapy areas
2
Ranking Medical Affairs engagement drivers
3
Benchmarking outcomes by account tier
Deliverables
Satisfaction score matrix
Engagement driver ranking
Account tier benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Medical Affairs Heads with low survey response rates
2
Quick pulse across regional pharma accounts
Deliverables
Account coverage log
Call-verified responses
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Strategic key accounts requiring outcome verification
2
High-value Medical Affairs Heads in metro markets
Deliverables
Account journey maps
Verbatim outcome notes
OPTIONAL
FGDs
Deliverables
Themes and verbatims
Messaging 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, targeting Medical Affairs Heads and campaign decision-makers across B2B pharma accounts via verified email panels.
Consider adding: CATI for senior Medical Affairs Heads with low digital response rates, and F2F for strategic key accounts where outcome verification and depth of satisfaction context are critical.

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)
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  • Aruban Florin (AWG)
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  • Barbadian Dollar (BBD)
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  • Bulgarian Lev (BGN)
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  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
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  • Lesotho Loti (LSL)
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  • Macanese Pataca (MOP)
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  • 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)
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  • Sierra Leonean Leone (SLL)
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  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
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  • 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 B2B pharmaceutical medical affairs space.

CASELET 1

KOL engagement channel preference & message recall (India)

CASELET 2

Post-symposium scientific content satisfaction & rep credibility (West India)

KOL engagement channel preference & message recall (India)

OBJECTIVE

A specialty pharma brand needed to map how Key Opinion Leaders and senior hospital consultants across cardiology and oncology rated medical affairs touchpoints , and which engagement formats drove sustained recall versus single-interaction awareness.

WHAT WE DID

Ran a structured quant survey across 180 KOLs and department heads in 6 metros, capturing channel preference by specialty, visit frequency tolerance, content format ratings, and self-reported recall scores for each medical affairs interaction type.

DELIVERED

A channel preference map by specialty, a ranked recall friction list by interaction format, a message territory framework separating high-retention from low-retention content types, and segment-level engagement levers for the medical affairs planning cycle.
CASELET 1

KOL engagement channel preference & message recall (India)

CASELET 2

Post-symposium scientific content satisfaction & rep credibility (West India)

KOL engagement channel preference & message recall (India)

OBJECTIVE

A specialty pharma brand needed to map how Key Opinion Leaders and senior hospital consultants across cardiology and oncology rated medical affairs touchpoints , and which engagement formats drove sustained recall versus single-interaction awareness.

WHAT WE DID

Ran a structured quant survey across 180 KOLs and department heads in 6 metros, capturing channel preference by specialty, visit frequency tolerance, content format ratings, and self-reported recall scores for each medical affairs interaction type.

DELIVERED

A channel preference map by specialty, a ranked recall friction list by interaction format, a message territory framework separating high-retention from low-retention content types, and segment-level engagement levers for the medical affairs planning cycle.

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 oncology, specialty, and primary care respondents?

How will you measure medical affairs campaign effectiveness beyond simple ratings?

Will the survey map the full medical affairs campaign journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our medical affairs campaign ROI and renewal rates?

Still have questions?

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

Book a Discovery Call