CONSUMER DURABLES RETAIL

Consumer Durables Retailer In-Store Advisory & Brand Steering Survey

Capture how in-store shoppers evaluate product recommendations, compare brand options, and choose between competing SKUs at the point of sale, so you can sharpen floor-staff conversion, benchmark brand positioning, and fix category steering gaps.

Pan-India sample
Consumer durables shoppers (In-Store Purchase Decision-Makers)
15-20 min
Talk to a Survey Consultant
Advisory influence & conversionIdentify where staff recommendations accelerate or stall final brand selection.
Brand steering & trade-offsMap the SKU-level signals that shift shoppers across competing brand tiers.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31

CONTEXT & RELEVANCE

Why run this survey now

Most consumer durables retailers don't lose brand conversions purely on price. They lose them due to inconsistent floor staff guidance, misaligned brand placement, weak category storytelling, untracked competitor steering, and post-visit drop-off, none of which fully show up in POS transaction data or footfall analytics.

If you are...

  • National retail chain category head
  • Brand competing for floor priority
  • Regional franchise or dealer principal
  • Trade marketing or channel lead
  • Retail strategy or format planner

You're likely facing...

  • Staff steering: brand vs margin conflict
  • Conversion drop at demo stage
  • Brand visibility vs adjacency gaps
  • Premium vs value tier confusion
  • Post-visit switching to online

This will help answer...

  • Staff recommendation drivers by brand
  • In-store conversion drop-off stage
  • Shopper segment by category intent
  • Price-feature trade-off at shelf
  • Brand switch triggers post-visit

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete shopper journey from category entry to post-purchase advocacy.

TENETS 01

Store Entry & Discovery

  • Footfall triggers, visit intent
  • Category awareness at store entry
TENETS 02

Advisor Influence & Reach

  • Floor staff engagement rate
  • Advisory initiation, shopper vs. staff
TENETS 03

Brand Steering Signals

  • Advisor-led brand substitution rate
  • Preferred brand vs. purchased brand
TENETS 04

Product Demo & Conviction

  • Live demo conversion to purchase intent
  • Feature demonstration depth, category-wise
TENETS 05

Pricing & Trade-off

  • Price sensitivity by product tier
  • EMI uptake, down-payment thresholds
TENETS 06

Conversion & Exit

  • Same-visit purchase rate by category
  • Walk-out reasons, deferred purchase triggers
TENETS 07

After-Sales & Loyalty

  • Extended warranty attachment rate
  • Service centre awareness, brand vs. retailer
TENETS 08

Channel & Competitive Pull

  • Online vs. offline price parity perception
  • Competing retailer consideration set

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 Consumer Durables Retailer In-Store Advisory and Brand Steering 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
Ranking brand steering frequency by product category
2
Measuring staff advisory influence on purchase conversion
3
Comparing shopper segments by store format and city tier
Deliverables
Brand steering index
Advisory influence matrix
Segment comparison cuts
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Shoppers in Tier 3 and Tier 4 towns
2
Quick coverage across dispersed retail catchment zones
Deliverables
Tier-wise coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-ticket appliance buyers needing in-depth verification
2
Flagship store cohorts with complex advisory interactions
Deliverables
Store-level insights
Rich purchase journey maps
OPTIONAL
FGDs
Deliverables
Themes and verbatims
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, covering shoppers across store formats and city tiers to map brand steering patterns and advisory conversion rates at scale.
Consider adding: CATI for Tier 3 and Tier 4 town coverage where digital panel reach is thin, and a selective F2F layer for flagship store and high-ticket appliance cohorts where in-store advisory interactions are most consequential.

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
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$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 consumer durables retail space.

CASELET 1

Staff influence on appliance brand choice at point of sale (India)

CASELET 2

Category messaging fit for durables buyers across urban store formats (India)

Staff influence on appliance brand choice at point of sale (India)

OBJECTIVE

A large-format consumer electronics retailer needed to quantify how floor sales associates steer purchase decisions across premium, mid-range, and entry-level appliance buyers , and which brand recommendation triggers override pre-visit brand intent.

WHAT WE DID

Ran an exit-intercept quant survey across 18 stores in 6 cities, capturing pre-visit brand shortlist, staff interaction frequency, recommendation acceptance rate, and the specific product attributes cited by associates that shifted final brand selection.

DELIVERED

A staff influence index by category, a brand-switching trigger map segmented by buyer tier, and a ranked list of in-store advisory levers that most consistently displaced the buyer's original brand preference at the billing counter.
CASELET 1

Staff influence on appliance brand choice at point of sale (India)

CASELET 2

Category messaging fit for durables buyers across urban store formats (India)

Staff influence on appliance brand choice at point of sale (India)

OBJECTIVE

A large-format consumer electronics retailer needed to quantify how floor sales associates steer purchase decisions across premium, mid-range, and entry-level appliance buyers , and which brand recommendation triggers override pre-visit brand intent.

WHAT WE DID

Ran an exit-intercept quant survey across 18 stores in 6 cities, capturing pre-visit brand shortlist, staff interaction frequency, recommendation acceptance rate, and the specific product attributes cited by associates that shifted final brand selection.

DELIVERED

A staff influence index by category, a brand-switching trigger map segmented by buyer tier, and a ranked list of in-store advisory levers that most consistently displaced the buyer's original brand preference at the billing counter.

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 large-format electronics chains, multi-brand appliance stores and brand-exclusive showrooms?

How will you measure in-store brand steering beyond simple ratings?

Will the survey map the full in-store purchase journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our in-store brand conversion rate?

Still have questions?

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

Book a Discovery Call