B2B EVENTS & SPONSORSHIP

B2B Event Organiser Unmet Visitor Intelligence & Sponsorship ROI Survey

Map how B2B event organisers evaluate visitor engagement data, compare sponsorship attribution models, and navigate unmet intelligence gaps, so you can sharpen sponsor acquisition, improve package pricing, and strengthen retention conversion.

Multi-Market sample
B2B event organisers (Heads of Sponsorship/Visitor Experience)
15-20 min
Talk to a Survey Consultant
Sponsorship ROI gapsIdentify where sponsors disengage, dispute attribution, or decline renewal post-event.
Visitor intelligence & segmentationBenchmark which visitor data signals organisers capture, miss, or fail to monetise.
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CONTEXT & RELEVANCE

Why run this survey now

Most B2B event organisers don't lose sponsors purely on footfall numbers. They lose them due to unverified visitor intent data, mismatched audience profiles, weak post-event attribution, unclear session engagement signals, and sponsor tier mispricing, none of which fully show up in badge-scan reports or post-event feedback forms.

If you are...

  • Exhibition or conference organiser
  • Sponsorship sales or partnerships head
  • Visitor experience and programme lead
  • Revenue and commercial strategy director
  • Portfolio or brand activation manager

You're likely facing...

  • Sponsor renewal pressure: ROI proof gaps
  • Visitor intent vs. actual attendance mismatch
  • Tier pricing vs. perceived value tension
  • Session engagement drop: mid-event attrition
  • Competing formats: hybrid vs. in-person pull

This will help answer...

  • Visitor decision and intent drivers
  • Sponsorship ROI attribution by tier
  • Audience segment fit by format
  • Pricing tolerance across sponsor categories
  • Renewal triggers and switching signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete visitor intelligence journey from pre-event registration to post-event sponsor renewal.

TENETS 01

Attendance Motivation

  • Primary visit drivers by segment
  • Content vs. networking priority split
TENETS 02

Discovery & Registration

  • First-touch channel by visitor profile
  • Registration friction points pre-arrival
TENETS 03

Floor Experience

  • Exhibitor engagement depth on-site
  • Navigation gaps, dwell-time drop-offs
TENETS 04

Sponsor Visibility

  • Unaided sponsor recall by placement type
  • Sponsorship tier recognition gaps
TENETS 05

Unmet Needs

  • Content gaps by job function attended
  • Networking format mismatches reported
TENETS 06

Sponsor ROI Signals

  • Lead quality metrics sponsors track
  • Post-event pipeline conversion expectations
TENETS 07

Renewal Intent

  • Re-attendance likelihood by visitor tier
  • Sponsorship renewal triggers and blockers
TENETS 08

Competitive Benchmarking

  • Rival event attendance overlap rates
  • Budget share across event portfolio

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 Event Organiser Unmet Visitor Intelligence & Sponsorship ROI Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across exhibitor, sponsor, and visitor segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking unmet visitor needs by event format
2
Measuring sponsorship ROI gaps across tiers
3
Comparing segments by industry, event size, and geography
Deliverables
Visitor need rankings
Sponsorship ROI matrix
Segment gap scores
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Senior sponsors with low survey response rates
2
Quick pulse across multiple regional event clusters
Deliverables
Sponsor coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Platinum and title sponsors requiring verified ROI attribution
2
High-value visitor cohorts at flagship trade events
Deliverables
Sponsor journey maps
Cluster intent profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
Package 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, targeting exhibitors, sponsors, and registered visitors across event formats and verticals.
Consider adding: CATI for senior sponsor contacts with low digital response rates, and F2F for platinum-tier sponsors and high-value visitor cohorts where ROI attribution requires direct verification.

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 B2B events and sponsorship space.

CASELET 1

Exhibitor sponsorship tier value & decision criteria (India)

CASELET 2

Visitor intent gap & post-event engagement friction (Southeast Asia)

Exhibitor sponsorship tier value & decision criteria (India)

OBJECTIVE

A mid-size trade show organiser needed to map how first-time exhibitors and returning anchor sponsors evaluate sponsorship tier value , compare competing event properties, and decide on renewal versus reallocation of their annual exhibition budgets.

WHAT WE DID

Ran a structured quant survey across 210 exhibitors in 6 industry verticals, capturing tier selection rationale, budget allocation triggers, lead quality expectations, competing event shortlists, and stated satisfaction scores against each sponsorship benefit category.

DELIVERED

A sponsorship value corridor by exhibitor segment, a ranked benefit importance framework across 9 tier attributes, a competitive displacement map showing which rival events drew budget away, and a set of renewal risk indicators by exhibitor tenure band.
CASELET 1

Exhibitor sponsorship tier value & decision criteria (India)

CASELET 2

Visitor intent gap & post-event engagement friction (Southeast Asia)

Exhibitor sponsorship tier value & decision criteria (India)

OBJECTIVE

A mid-size trade show organiser needed to map how first-time exhibitors and returning anchor sponsors evaluate sponsorship tier value , compare competing event properties, and decide on renewal versus reallocation of their annual exhibition budgets.

WHAT WE DID

Ran a structured quant survey across 210 exhibitors in 6 industry verticals, capturing tier selection rationale, budget allocation triggers, lead quality expectations, competing event shortlists, and stated satisfaction scores against each sponsorship benefit category.

DELIVERED

A sponsorship value corridor by exhibitor segment, a ranked benefit importance framework across 9 tier attributes, a competitive displacement map showing which rival events drew budget away, and a set of renewal risk indicators by exhibitor tenure band.

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 first-time visitors, repeat attendees and lapsed delegates?

How will you measure sponsorship ROI perception beyond simple ratings?

Will the survey map the full visitor decision and drop-off journey?

Can this survey inform product and pricing strategy?

How will findings improve our sponsor retention and package renewal rates?

Still have questions?

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

Book a Discovery Call