AUTO & MOBILITY

Vehicle Resale Value & Trade-in Experience Survey

Map how vehicle owners evaluate trade-in offers, compare dealer and platform quotes, and weigh resale timing against depreciation, so you can sharpen acquisition pricing, convert more trade-in leads, and benchmark channel retention rates.

Pan-India sample
Vehicle owners (Recent or Intending Traders)
15-20 min
Talk to a Survey Consultant
Trade-in friction & drop-offsIdentify where vehicle owners hesitate, disengage, or abandon the trade-in process.
Resale pricing & depreciation signalsBenchmark owner price expectations against actual offer acceptance across vehicle 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 dealers and OEMs don't lose trade-in customers purely on offered price. They lose them due to opaque valuation logic, inconsistent appraisal processes, poor condition-to-value communication, misaligned channel expectations, and distrust in certified pre-owned pricing, none of which fully show up in DMS reports or CRM trade-in logs.

If you are...

  • Franchise dealer vs independent lot
  • OEM certified pre-owned program lead
  • Used vehicle pricing or product head
  • Network development or aftersales head
  • Fleet remarketing or trade cycle team

You're likely facing...

  • Appraisal distrust: walk-offs at valuation
  • CPO vs private sale value gap
  • Trade-in drop-off: condition disclosure stage
  • OEM tools = rigid/slow perception
  • Loyalty bleed at renewal window

This will help answer...

  • Valuation trust drivers by segment
  • Drop-off stage in trade-in journey
  • CPO vs private sale preference split
  • Fair offer perception vs actual delta
  • Repeat trade-in and switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete vehicle ownership journey from acquisition to trade-in close.

TENETS 01

Resale Awareness

  • Depreciation knowledge at purchase
  • Resale value as purchase driver
TENETS 02

Channel Preference

  • Dealer vs. platform trade-in split
  • First channel approached for valuation
TENETS 03

Valuation Transparency

  • Quote breakdown clarity, inspection logic
  • Deduction disputes at appraisal stage
TENETS 04

Process Friction

  • Documentation burden, wait time
  • Drop-offs across trade-in stages
TENETS 05

Pricing Sensitivity

  • Acceptable discount range, walk-away threshold
  • Price vs. speed trade-off tolerance
TENETS 06

Condition & Maintenance

  • Service history impact on quote
  • Pre-trade cosmetic prep behaviour
TENETS 07

Trust & Credibility

  • Channel trust signals, certification cues
  • Repeat trade-in intent by channel
TENETS 08

Upgrade Linkage

  • Trade-in timing tied to new purchase
  • OEM loyalty shift post trade-in

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 Vehicle Resale Value and Trade-in Experience 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 resale value drivers by vehicle segment
2
Benchmarking trade-in satisfaction scores
3
Comparing owner profiles by mileage, age, and channel
Deliverables
Driver ranking
Trade-in gap matrix
Resale value bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older vehicle owners with low digital engagement
2
Quick coverage across tier-2 and tier-3 markets
Deliverables
Regional owner coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-value vehicle owners requiring in-person verification
2
Dealership and used-car lot intercept interviews
Deliverables
Dealership cluster insights
Rich trade-in journey maps
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, supported by CATI to reach low-digital vehicle owners in tier-2 and tier-3 markets.
Consider adding: Face-to-face intercepts at dealership clusters for high-value segments and a focused FGD layer to pressure-test trade-in messaging and pricing communication.

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 vehicle remarketing and ownership experience space.

CASELET 1

Used vehicle pricing confidence & dealer channel trust (India)

CASELET 2

Ownership exit intent & upgrade trigger mapping (West India)

Used vehicle pricing confidence & dealer channel trust (India)

OBJECTIVE

A pan-India OEM needed to quantify how first-time sellers and repeat upgraders form price expectations at the point of trade-in, and which valuation touchpoints most strongly shape their willingness to transact through an organised channel.

WHAT WE DID

Ran a structured quant survey across 8 cities with 600 respondents, capturing price anchoring sources, valuation gap tolerance, channel shortlisting criteria, and the specific moments at which sellers abandoned an organised trade-in in favour of a private buyer.

DELIVERED

A segment-level pricing corridor by vehicle age and ownership profile, a ranked trust friction list by dealer interaction stage, and a set of channel positioning levers to reduce drop-off between valuation quote and final handover.
CASELET 1

Used vehicle pricing confidence & dealer channel trust (India)

CASELET 2

Ownership exit intent & upgrade trigger mapping (West India)

Used vehicle pricing confidence & dealer channel trust (India)

OBJECTIVE

A pan-India OEM needed to quantify how first-time sellers and repeat upgraders form price expectations at the point of trade-in, and which valuation touchpoints most strongly shape their willingness to transact through an organised channel.

WHAT WE DID

Ran a structured quant survey across 8 cities with 600 respondents, capturing price anchoring sources, valuation gap tolerance, channel shortlisting criteria, and the specific moments at which sellers abandoned an organised trade-in in favour of a private buyer.

DELIVERED

A segment-level pricing corridor by vehicle age and ownership profile, a ranked trust friction list by dealer interaction stage, and a set of channel positioning levers to reduce drop-off between valuation quote and final handover.

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 trade-in owners, repeat trade-in owners and private resale sellers?

How will you measure trade-in channel preference beyond simple ratings?

Will the survey map the full trade-in and resale journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our trade-in conversion and retention performance?

Still have questions?

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

Book a Discovery Call