E-Commerce Shipper Experience Study
Evaluate carrier reliability, compare delivery performance, and navigate billing, support, and claims across your shipping operations, so you can strengthen retention, refine pricing, improve conversion, sharpen positioning, and optimise channel strategy.
CONTEXT & RELEVANCE
Why run this survey now
Most e-commerce shippers don't lose margin purely on freight price. They underperform due to failed pickups, inconsistent tracking, hidden surcharges, slow claims, and weak support, none of which fully show up in invoices or SLA dashboards.
If you are...
- Logistics operations leaders
- Carrier procurement teams
- Customer experience heads
- E-commerce commercial leaders
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete shipper journey from carrier selection to renewal.
Shipping Profile
- Monthly parcel throughput
- Category & order mix
Carrier Selection
- Consideration & shortlist criteria
- Direct versus aggregator choice
Onboarding & Integration
- API & platform setup
- Account activation friction
Pickup & Handover
- Pickup schedule adherence
- Warehouse handoff quality
Delivery & Tracking
- Speed & delivery predictability
- Tracking status visibility
Exceptions & Claims
- NDR & RTO handling
- Claims resolution quality
Billing & Value
- Rate transparency
- Surcharge & invoice accuracy
Support & Renewal
- Account support responsiveness
- Retention & 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.
METHODOLOGY
Survey approach
For E-Commerce Shipper Experience Study, we recommend a quant-led mixed-method approach with flexible data-collection modes to balance reach, depth, and verification across shipper segments and carrier operating contexts.
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
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
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
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
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 e-commerce logistics space.
Last-Mile Carrier Selection Drivers Among Online Sellers (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Last-Mile Carrier Selection Drivers Among Online Sellers (India)
Returns Management Proposition Testing for Growing Merchants (Southeast Asia)
Last-Mile Carrier Selection Drivers Among Online Sellers (India)
OBJECTIVE
An integrated logistics platform needed to understand how marketplace sellers , D2C brands , and omnichannel retailers compared national carriers, regional couriers, and aggregators when balancing price predictability , coverage , and delivery speed .
WHAT WE DID
We ran a structured online survey with 720 shippers, quota-controlled by monthly parcel volume, category, and region, capturing carrier consideration , selection criteria , rate tolerance , onboarding friction, and switching intent across three operating models.
DELIVERED
The study produced a carrier preference map , decision-driver model , segment scorecards , and channel leverage matrix , showing where direct sales, partnerships, and aggregator channels aligned with each shipper cohort's selection priorities.
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 marketplace sellers, D2C brands and omnichannel retailers?
How will you measure carrier preference beyond simple ratings?
Will the survey map the full shipping journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our carrier retention and account growth?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.