TYRES & AUTOMOTIVE RETAIL

Tyre Consumer Performance Satisfaction & Brand Loyalty Behaviour Survey

Tyre buyers evaluate tread life, brand reputation, and price-to-performance trade-offs when choosing and replacing tyres, so you can sharpen acquisition messaging, benchmark loyalty conversion, and fix retention gaps by segment.

Pan-India sample
Tyre buyers (Primary Purchase Decision-Makers)
15-20 min
Talk to a Survey Consultant
Loyalty triggers & switching signalsIdentify which performance failures push buyers to switch brands at replacement.
Satisfaction drivers & pricing sensitivityBenchmark satisfaction scores across tread life, ride quality, and price segments.
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 tyre brands don't lose repeat buyers purely on tread performance. They lose them due to misread brand perception, unresolved fitment anxiety, price-value misalignment, weak dealer experience, and untracked switching triggers, none of which fully show up in sell-out data or warranty claim reports.

If you are...

  • OEM-supply tyre brand team
  • Replacement market brand head
  • Tyre product planning lead
  • Fleet and commercial sales head
  • Retail channel strategy lead

You're likely facing...

  • Brand loyalty erosion: premium vs value
  • Fitment confusion: OEM vs replacement
  • Price sensitivity vs performance trade-off
  • Dealer influence on brand switching
  • Repeat purchase drop at renewal

This will help answer...

  • Top performance satisfaction drivers
  • Switching triggers at replacement stage
  • Segment loyalty by vehicle category
  • Price tolerance vs brand premium
  • Dealer role in repurchase decision

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete tyre buyer journey from first purchase trigger to repeat brand commitment.

TENETS 01

Purchase Triggers

  • Replacement vs. new fitment context
  • Seasonal, mileage, or damage prompts
TENETS 02

Brand Discovery

  • Awareness sources, digital vs. in-store
  • OEM fitment influence on brand recall
TENETS 03

Performance Expectations

  • Wet grip, tread life, ride comfort priorities
  • Expected vs. delivered performance gap
TENETS 04

Retailer & Channel

  • Fitment centre vs. online purchase split
  • Retailer advisory influence on brand switch
TENETS 05

Pricing & WTP

  • Price tier acceptance by vehicle segment
  • Discount, EMI, and bundled offer sensitivity
TENETS 06

Satisfaction & Complaints

  • Post-fitment satisfaction by attribute
  • Complaint resolution and warranty claim experience
TENETS 07

Loyalty & Switching

  • Repeat purchase rate by brand tier
  • Switch triggers: price, performance, or availability
TENETS 08

Competitive Positioning

  • Brand perception gaps vs. nearest competitor
  • Premium vs. value tier 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?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Tyre Consumer Performance Satisfaction & Brand Loyalty Behaviour 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 tyre brand preference by vehicle segment
2
Measuring satisfaction across tread life and wet grip
3
Comparing loyalty drivers by geography and usage type
Deliverables
Brand loyalty index
Performance attribute rankings
Segment satisfaction matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Fleet operators and commercial vehicle owners offline
2
Tier 3 and rural tyre buyers with low digital access
Deliverables
Fleet buyer coverage
Regional reach diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-mileage commercial fleet owners needing verification
2
Tyre retail outlet intercepts in key urban clusters
Deliverables
Retail intercept data
Fleet loyalty maps
OPTIONAL
FGDs
Deliverables
Switching triggers
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, covering passenger car owners, two-wheeler riders, and light commercial vehicle operators across urban and semi-urban markets.
Consider adding: CATI for fleet operators and Tier 3 buyers with low digital access, plus a targeted F2F layer at high-footfall tyre retail outlets to verify brand switching behaviour at the point of replacement decision.

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)
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  • Armenian Dram (AMD)
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  • 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)
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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)
  • Belize Dollar (BZD)
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  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
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  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
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  • Lesotho Loti (LSL)
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  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
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  • Nicaraguan Córdoba (NIO)
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  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
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  • Philippine Peso (PHP)
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  • Tunisian Dinar (TND)
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  • Turkish Lira (TRY)
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  • 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 tyre and automotive aftermarket space.

CASELET 1

Tyre channel preference & purchase trigger mapping (India)

CASELET 2

Brand switching friction & loyalty driver study (West India)

Tyre channel preference & purchase trigger mapping (India)

OBJECTIVE

A pan-India tyre distributor needed to isolate how private car owners and two-wheeler riders choose between authorised dealers , multi-brand fitment centres , and online platforms at the point of replacement.

WHAT WE DID

Ran a structured quant survey across 8 cities with 600 respondents, capturing replacement triggers , channel shortlisting steps , price sensitivity thresholds , and fitment service expectations by vehicle segment and annual mileage band.

DELIVERED

A channel preference map by vehicle and mileage segment, a ranked trigger hierarchy driving unplanned versus planned replacement, and a pricing corridor showing willingness-to-pay limits across each channel type.
CASELET 1

Tyre channel preference & purchase trigger mapping (India)

CASELET 2

Brand switching friction & loyalty driver study (West India)

Tyre channel preference & purchase trigger mapping (India)

OBJECTIVE

A pan-India tyre distributor needed to isolate how private car owners and two-wheeler riders choose between authorised dealers , multi-brand fitment centres , and online platforms at the point of replacement.

WHAT WE DID

Ran a structured quant survey across 8 cities with 600 respondents, capturing replacement triggers , channel shortlisting steps , price sensitivity thresholds , and fitment service expectations by vehicle segment and annual mileage band.

DELIVERED

A channel preference map by vehicle and mileage segment, a ranked trigger hierarchy driving unplanned versus planned replacement, and a pricing corridor showing willingness-to-pay limits across each channel type.

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 passenger car owners, two-wheeler riders and light commercial vehicle operators?

How will you measure brand loyalty beyond simple ratings?

Will the survey map the full tyre replacement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our retail and channel sell-through performance?

Still have questions?

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

Book a Discovery Call