EV CHARGING & MOBILITY

EV Charging Network Partnership Study

Charge point operators, fleet electrification leads, and network development heads evaluate, compare, and choose charging infrastructure partners across uptime reliability, revenue-share models, and site exclusivity terms, so you can sharpen acquisition strategy, benchmark partnership pricing, and convert high-value site agreements faster.

Pan-India sample
CPOs and fleet electrification leads (Network Development Heads)
15-20 min
Talk to a Survey Consultant
Partner selection frictionIdentify where CPOs stall, switch preferred partners, or abandon network agreements.
Revenue model & site trade-offsBenchmark revenue-share thresholds, exclusivity expectations, and uptime requirements by segment.
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CONTEXT & RELEVANCE

Why run this survey now

Most EV charging network operators don't lose partnership deals purely on charging speed or hardware specs. They lose them due to misaligned revenue-sharing models, unclear site exclusivity terms, CPO fragmentation, fleet operator range anxiety, and weak grid-readiness signals, none of which fully show up in utilisation dashboards or OEM partnership decks.

If you are...

  • CPO scaling site partnerships
  • Fleet operator evaluating charging networks
  • Network Development Head, EV segment
  • EV Strategy Lead, OEM or utility
  • VP Corporate Strategy, mobility infrastructure

You're likely facing...

  • CPO vs utility partner fit confusion
  • Revenue-share model misalignment
  • Site exclusivity vs open-network tension
  • Fleet range anxiety: depot vs en-route
  • Grid readiness gaps at priority corridors

This will help answer...

  • Partner selection drivers beyond uptime
  • Fleet commitment stage drop-off
  • CPO vs utility segment preference
  • Revenue-share and pricing thresholds
  • Switching triggers across partner types

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete charging network partnership journey from site prospecting to contract renewal.

TENETS 01

Partner Discovery

  • First contact channel, referral source
  • CPO shortlisting criteria, initial triggers
TENETS 02

Selection Drivers

  • Network coverage, uptime guarantees
  • Connector standard compatibility, interoperability
TENETS 03

Contract Structure

  • Revenue share models, exclusivity clauses
  • SLA terms, penalty provisions
TENETS 04

Deployment Friction

  • Grid connection delays, permitting timelines
  • Site readiness gaps, civil works bottlenecks
TENETS 05

Pricing & WTP

  • Per-kWh vs. subscription pricing tolerance
  • Dynamic tariff acceptance, fleet billing preference
TENETS 06

Network Performance

  • Charger uptime, fault resolution speed
  • Session success rate, peak-hour reliability
TENETS 07

Data & Integration

  • OCPP compliance, telematics integration depth
  • Energy management API, fleet software compatibility
TENETS 08

Renewal & Switching

  • Contract renewal triggers, exit barriers
  • Competing CPO evaluation, switching intent

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 EV Charging Network Partnership Study, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across CPO, fleet, and site-host segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking CPO partnership criteria by priority tier.
2
Quantifying revenue-share and uptime expectations.
3
Comparing fleet, retail, and site-host segments.
Deliverables
Partner criteria ranking
Segment preference matrix
Commercial terms benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Fleet depot owners with low digital engagement.
2
Quick coverage across Tier 2 and Tier 3 corridors.
Deliverables
Corridor coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Anchor site hosts requiring multi-stakeholder verification.
2
High-density charging corridors needing on-ground context.
Deliverables
Site-host journey maps
Cluster deployment insights
OPTIONAL
FGDs
Deliverables
Themes and verbatims
Proposition 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 CPOs, fleet operators, and site hosts across priority charging corridors, supported by CATI for depot owners and Tier 2 markets with lower digital reach.
Consider adding: F2F interviews for anchor site-host accounts and high-value CPO partners, plus a focused FGD layer to pressure-test revenue-share structures and co-branding terms before finalising partnership frameworks.

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 EV charging and mobility infrastructure space.

CASELET 1

CPO pricing tolerance & session behaviour mapping (India)

CASELET 2

Site host decision criteria & partnership friction audit (West India)

CPO pricing tolerance & session behaviour mapping (India)

OBJECTIVE

A pan-India charge point operator needed to quantify how fleet operators , personal EV owners , and commercial cab aggregators differ in willingness to pay across per-unit pricing , subscription bundles , and idle-time penalty structures .

WHAT WE DID

Ran a structured quant survey across 420 respondents in 6 cities, capturing session frequency , preferred payment trigger , price ceiling by charger type , and switching threshold relative to home-charging and petrol-equivalent cost benchmarks.

DELIVERED

A pricing corridor by segment , a willingness-to-pay ladder ranked across three tariff structures, a segment sensitivity map isolating fleet versus retail tolerance gaps, and a list of pricing friction triggers by charger location type.
CASELET 1

CPO pricing tolerance & session behaviour mapping (India)

CASELET 2

Site host decision criteria & partnership friction audit (West India)

CPO pricing tolerance & session behaviour mapping (India)

OBJECTIVE

A pan-India charge point operator needed to quantify how fleet operators , personal EV owners , and commercial cab aggregators differ in willingness to pay across per-unit pricing , subscription bundles , and idle-time penalty structures .

WHAT WE DID

Ran a structured quant survey across 420 respondents in 6 cities, capturing session frequency , preferred payment trigger , price ceiling by charger type , and switching threshold relative to home-charging and petrol-equivalent cost benchmarks.

DELIVERED

A pricing corridor by segment , a willingness-to-pay ladder ranked across three tariff structures, a segment sensitivity map isolating fleet versus retail tolerance gaps, and a list of pricing friction triggers by charger location 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 CPO-exclusive, multi-network and white-label partners?

How will you measure partner network preference beyond simple ratings?

Will the survey map the full charging partnership lifecycle and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our partner acquisition and retention pipeline?

Still have questions?

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

Book a Discovery Call