INDUSTRIAL EQUIPMENT & FLEET

Forklift Dealer B2B Fleet Manager Advisory & OEM Brand Preference Survey

Capture how B2B fleet managers evaluate dealer advisory quality, compare OEM brands, and choose forklift procurement partners, so you can sharpen dealer positioning, fix conversion gaps, and benchmark brand preference by fleet segment.

Pan-India sample
Fleet managers (Procurement and Operations Decision-Makers)
15-20 min
Talk to a Survey Consultant
Dealer advisory gaps & conversionIdentify where fleet managers disengage from dealer advisory before committing to procurement.
OEM brand preference & switching triggersRank OEM brand drivers, map loyalty signals, and isolate fleet renewal switching conditions.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most forklift dealers don't lose fleet accounts purely on unit price. They lose them due to misread duty-cycle requirements, weak aftersales positioning, OEM brand misalignment, unclear total-cost-of-ownership framing, and poor renewal-cycle timing, none of which fully show up in dealer CRM reports or OEM sales dashboards.

If you are...

  • Forklift dealer network development head
  • OEM fleet sales lead
  • Fleet procurement or asset manager
  • Aftersales and service contracts head
  • EV forklift product planning manager

You're likely facing...

  • OEM brand confusion: domestic vs import
  • Fleet renewal timing misalignment
  • ICE vs electric switch hesitation
  • Aftersales trust gap at renewal
  • Dealer vs direct OEM preference split

This will help answer...

  • OEM preference drivers beyond price
  • Fleet renewal drop-off stage
  • Segment split by fleet size
  • Total cost tolerance by application
  • Dealer switching and retention triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete fleet procurement journey from initial shortlisting to post-purchase dealer advocacy.

TENETS 01

Fleet Discovery & Shortlisting

  • First OEM or dealer channel contacted
  • Shortlist triggers, fleet renewal cycle
TENETS 02

OEM Brand Preference

  • Brand loyalty vs. competitive switching
  • Domestic vs. import OEM bias
TENETS 03

Dealer Advisory Quality

  • Pre-sale application consulting depth
  • Spec recommendation vs. fleet need fit
TENETS 04

Procurement Friction

  • Lead time, documentation, approval delays
  • Drop-offs across procurement stages
TENETS 05

Pricing & TCO

  • Total cost of ownership benchmarks
  • Lease vs. outright purchase trade-offs
TENETS 06

Aftersales & Uptime

  • Planned maintenance vs. breakdown response
  • Parts availability, technician response time
TENETS 07

Electrification Readiness

  • IC-to-electric conversion intent, timeline
  • Charging infrastructure, shift-pattern constraints
TENETS 08

Dealer Loyalty & Switching

  • Retention drivers, contract renewal intent
  • Switching triggers, competitor dealer evaluation

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 Forklift Dealer B2B Fleet Manager Advisory and OEM Brand Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across fleet segments and dealer networks.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking OEM brand preference by fleet size tier.
2
Measuring dealer advisory satisfaction scores.
3
Comparing segments by industry vertical and region.
Deliverables
OEM preference ranking
Dealer advisory scorecard
Fleet segment matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Fleet managers in low-digital warehouse operations.
2
Quick coverage across dispersed industrial clusters.
Deliverables
Fleet manager coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large fleet operators managing 20-plus forklift units.
2
Dealer principals in high-volume logistics corridors.
Deliverables
Cluster insights
High-value fleet 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, targeting fleet managers and dealer network contacts via email panels, to benchmark OEM brand preference and dealer advisory performance at scale.
Consider adding: CATI for fleet managers in low-digital or geographically dispersed industrial zones, and F2F interviews for large-fleet operators and high-volume dealer principals requiring deeper qualification 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

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 industrial fleet and materials handling space.

CASELET 1

Aftersales channel preference & service friction mapping (India)

CASELET 2

Dealer advisory quality & OEM switching intent study (West India)

Aftersales channel preference & service friction mapping (India)

OBJECTIVE

A pan-India commercial vehicle brand needed to quantify how warehouse fleet operators and third-party logistics providers choose between OEM-authorised service centres and independent workshops , and which friction points drive defection at each service interval.

WHAT WE DID

Ran a structured quant survey across 240 fleet maintenance decision-makers in 6 cities, capturing service channel selection criteria, average downtime tolerance, parts availability scores, and technician competency ratings for each service provider type.

DELIVERED

A service channel preference map segmented by fleet size and equipment age, a ranked friction list by service interval stage, and a set of retention levers tied to specific touchpoints in the aftersales journey.
CASELET 1

Aftersales channel preference & service friction mapping (India)

CASELET 2

Dealer advisory quality & OEM switching intent study (West India)

Aftersales channel preference & service friction mapping (India)

OBJECTIVE

A pan-India commercial vehicle brand needed to quantify how warehouse fleet operators and third-party logistics providers choose between OEM-authorised service centres and independent workshops , and which friction points drive defection at each service interval.

WHAT WE DID

Ran a structured quant survey across 240 fleet maintenance decision-makers in 6 cities, capturing service channel selection criteria, average downtime tolerance, parts availability scores, and technician competency ratings for each service provider type.

DELIVERED

A service channel preference map segmented by fleet size and equipment age, a ranked friction list by service interval stage, and a set of retention levers tied to specific touchpoints in the aftersales journey.

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 light-duty fleet operators, heavy-duty warehouse operators and mixed-fleet logistics managers?

How will you measure OEM brand preference beyond simple ratings?

Will the survey map the full forklift procurement and renewal journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our dealer network development and OEM sales strategy?

Still have questions?

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

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