Cashback & Discount Sensitivity Survey
Measure how online shoppers evaluate, compare, and choose between cashback offers, flat discounts, and loyalty rewards across categories and platforms, so you can sharpen acquisition spend, fix conversion drop-offs, and benchmark promotional pricing by segment.
CONTEXT & RELEVANCE
Why run this survey now
Most retailers don't lose repeat buyers purely on price. They lose them due to misread discount thresholds, cashback timing mismatches, segment-level fatigue, competing loyalty mechanics, and channel-specific redemption friction, none of which fully show up in transaction logs or campaign attribution reports.
If you are...
- Promotions or loyalty product lead
- D2C brand vs marketplace competitor
- Revenue or pricing strategy head
- CRM or retention program owner
- Category or commercial growth lead
You're likely facing...
- Discount depth vs margin erosion
- Cashback redemption drop-off rate
- Promo fatigue: loyal vs new segments
- Flat repeat rate post-campaign
- Offer cannibalisation across channels
This will help answer...
- Cashback threshold by segment
- Discount format preference drivers
- Switching triggers post-promotion
- Optimal redemption window timing
- Loyalty vs instant-discount trade-off
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete shopper journey from first cashback encounter to repeat redemption.
Discovery & Awareness
- First cashback offer encountered
- Channel of initial exposure
Sensitivity Thresholds
- Minimum cashback to trigger action
- Discount depth vs. purchase value
Format Preference
- Cashback vs. instant discount appeal
- Wallet credit vs. bank reversal preference
Redemption Friction
- Drop-off points in redemption flow
- Expiry and cap-related barriers
Switching & Loyalty
- Brand loyalty vs. offer-led switching
- Repeat purchase driven by cashback
Category & Context
- High-sensitivity purchase categories
- Seasonal vs. always-on responsiveness
Trust & Credibility
- Offer authenticity signals
- Past cashback non-fulfilment impact
Competitive Positioning
- Platform cashback benchmarks recalled
- Offer differentiation vs. rivals
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.
METHODOLOGY
Survey approach
For the Cashback and Discount Sensitivity Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and 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
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
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
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
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 consumer promotions and pricing sensitivity space.
Promotional offer structure & redemption intent mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Promotional offer structure & redemption intent mapping (India)
Discount messaging & channel response framework for D2C brands (India)
Promotional offer structure & redemption intent mapping (India)
OBJECTIVE
A mid-size quick-commerce platform needed to isolate which cashback formats (instant, deferred, wallet credit) drove repeat purchase intent across price-sensitive urban shoppers and deal-seeking suburban buyers , and how offer depth interacted with category type.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 8 cities, capturing offer recall, redemption friction, minimum-spend thresholds, category-level sensitivity, and stated switching intent when a competing platform matched or exceeded the cashback value.
DELIVERED
A cashback format preference map by buyer segment, a threshold sensitivity corridor showing where offer depth stops driving incremental intent, and a ranked friction list covering redemption barriers by platform touchpoint.
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 cashback-first, discount-first and mixed-offer shoppers?
How will you measure promotional preference beyond simple ratings?
Will the survey map the full promotional redemption journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our promotional ROI and retention targeting?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.