Last-Mile Delivery Satisfaction Survey
Understand how online shoppers evaluate, compare, and choose delivery experiences across speed, communication, handoffs, and issue resolution, so you can improve retention, strengthen marketplace positioning, and optimise channel strategy across carriers and fulfilment models.
CONTEXT & RELEVANCE
Why run this survey now
Most shoppers don't lose confidence purely on delivery speed. They disengage due to missed promises, poor tracking, careless handoffs, damaged parcels, and weak recovery, none of which fully show up in star ratings or complaint logs.
If you are...
- Ecommerce experience leaders
- Last-mile operations teams
- Marketplace category managers
- Courier partnership owners
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete last-mile journey from delivery promise to repeat purchase.
Promise & Expectations
- Promised delivery window
- Pre-delivery expectation setting
Tracking & Communication
- Shipment status visibility
- Notification timing and clarity
Speed & Reliability
- Actual delivery turnaround
- First-attempt success consistency
Handoff & Conduct
- Delivery associate behaviour
- Verification and handoff ease
Parcel Condition
- Packaging integrity on arrival
- Damage and tampering signals
Convenience & Control
- Rescheduling and location flexibility
- Contactless delivery preferences
Recovery & Support
- Failed delivery resolution pathways
- Complaint ownership and speed
Loyalty & Advocacy
- Repeat purchase confidence
- Delivery-led brand recommendation
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 Last-Mile Delivery Satisfaction Survey, we recommend a quantitative-led approach with flexible data-collection modes to balance reach, depth, and verification across delivery outcomes, customer cohorts, locations, carriers, and fulfilment models.
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 ecommerce logistics space.
Courier Tracking Message Preference & Channel Study (Pan-India)
OBJECTIVE
WHAT WE DID
DELIVERED
Courier Tracking Message Preference & Channel Study (Pan-India)
Premium Delivery Slot Concept & Pricing Study (Urban India)
Courier Tracking Message Preference & Channel Study (Pan-India)
OBJECTIVE
A pan-India marketplace sought to understand how frequent shoppers , occasional buyers , and failed-delivery customers responded to tracking messages, timing cues, carrier branding, and competing communication channels across routine and high-value orders.
WHAT WE DID
We ran a quant-led survey across metros and tier 2 cities, measuring message clarity , timing relevance , channel trust , click behaviour, preferred escalation routes, and differences by order value, delivery stage, and carrier type.
DELIVERED
The engagement produced a communication preference map , message territory framework , channel lever matrix , and cohort-level friction list clearly showing which notification combinations best matched pre-delivery, out-for-delivery, delay, and failed-attempt moments.
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 frequent shoppers, first-time buyers and failed-delivery customers?
How will you measure delivery preference beyond simple ratings?
Will the survey map the full last-mile journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our repeat purchase and retention strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.