LOYALTY & CRM

Loyalty Program Engagement Survey

Measure how loyalty program members evaluate rewards, compare redemption options, and weigh program value against switching alternatives, so you can sharpen retention levers, fix engagement drop-offs, and benchmark conversion across member segments.

Pan-India sample
Loyalty program members (Active Enrolled Members)
15-20 min
Talk to a Survey Consultant
Engagement drop-off & frictionIdentify where active members disengage, skip redemptions, or reduce program participation.
Reward value & segment fitBenchmark reward preference, redemption frequency, and perceived value across member tiers.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most loyalty program owners don't lose members purely on rewards value. They lose them due to irrelevant redemption options, poor tier progression clarity, low emotional connection, infrequent engagement triggers, and misaligned communication cadence, none of which fully show up in redemption rate reports or CRM engagement dashboards.

If you are...

  • Loyalty or retention program head
  • CRM vs points platform decision
  • Subscription or membership program owner
  • Revenue or commercial growth lead
  • Brand or customer strategy director

You're likely facing...

  • Active members: low redemption rate
  • Tier drop-off: mid-program stage
  • Points = transactional, not emotional
  • Reward mix: relevance vs cost tension
  • Churn spike: post-first-redemption window

This will help answer...

  • Engagement drivers beyond reward value
  • Drop-off stage within program journey
  • High-value vs at-risk member segments
  • Reward relevance vs perceived cost
  • Renewal, upgrade, and exit triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete member journey from enrollment to active advocacy.

TENETS 01

Enrollment & Awareness

  • Program discovery channels
  • Sign-up trigger moments
TENETS 02

Reward Preference

  • Preferred reward categories
  • Points vs. cashback trade-off
TENETS 03

Tier & Status

  • Tier progression motivators
  • Status recognition touchpoints
TENETS 04

Redemption Friction

  • Redemption drop-off stages
  • Points expiry awareness gaps
TENETS 05

Engagement Cadence

  • Communication frequency tolerance
  • App vs. email engagement split
TENETS 06

Emotional Loyalty

  • Brand attachment beyond transactions
  • Advocacy and referral intent
TENETS 07

Churn & Defection

  • Disengagement trigger events
  • Competing program switching signals
TENETS 08

Program Benchmarking

  • Competitive program value comparison
  • Feature gap vs. rival programs

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 Loyalty Program Engagement Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across member segments and program tiers.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measuring redemption frequency across member tiers
2
Ranking engagement drivers by program type
3
Comparing active vs lapsed member behavior
Deliverables
Engagement driver ranking
Tier behavior matrix
Redemption gap index
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Low-digital members in older age cohorts
2
Quick pulse across regional loyalty clusters
Deliverables
Segment 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-value platinum or elite tier members
2
Contextual mapping of in-store redemption behavior
Deliverables
Cohort journey maps
Tier-specific insights
OPTIONAL
FGDs
Deliverables
Themes and quotes
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 active and lapsed members across program tiers via email panels.
Consider adding: CATI for low-digital member segments and FGDs to pressure-test re-engagement messaging and reward proposition design.

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 loyalty and customer engagement space.

CASELET 1

Tier structure & reward redemption friction audit (India)

CASELET 2

Loyalty communication channel preference & message resonance (South Asia)

Tier structure & reward redemption friction audit (India)

OBJECTIVE

A mid-size retail chain needed to isolate why high-frequency buyers in its Gold and Platinum tiers were stalling on reward redemption, and whether point expiry rules or catalogue relevance drove the drop-off.

WHAT WE DID

Ran a structured quant survey across 480 loyalty members in 6 cities, capturing redemption frequency, point balance awareness, catalogue satisfaction scores, and tier upgrade intent by spend band and store format.

DELIVERED

A redemption friction map by tier, a ranked catalogue gap list by member segment, a point expiry sensitivity corridor , and a set of tier retention levers prioritised by member lifetime value band.
CASELET 1

Tier structure & reward redemption friction audit (India)

CASELET 2

Loyalty communication channel preference & message resonance (South Asia)

Tier structure & reward redemption friction audit (India)

OBJECTIVE

A mid-size retail chain needed to isolate why high-frequency buyers in its Gold and Platinum tiers were stalling on reward redemption, and whether point expiry rules or catalogue relevance drove the drop-off.

WHAT WE DID

Ran a structured quant survey across 480 loyalty members in 6 cities, capturing redemption frequency, point balance awareness, catalogue satisfaction scores, and tier upgrade intent by spend band and store format.

DELIVERED

A redemption friction map by tier, a ranked catalogue gap list by member segment, a point expiry sensitivity corridor , and a set of tier retention levers prioritised by member lifetime value 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 active redeemers, passive earners and lapsed members?

How will you measure reward preference beyond simple ratings?

Will the survey map the full loyalty engagement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our member retention and reactivation campaigns?

Still have questions?

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

Book a Discovery Call