10-Minute Grocery Delivery App Brand Preference & Repeat Order Frequency Survey
Understand how urban grocery shoppers evaluate delivery speed, compare app reliability, and choose between competing quick-commerce platforms, so you can sharpen acquisition targeting, fix retention drop-offs, and benchmark repeat-order conversion by segment.
CONTEXT & RELEVANCE
Why run this survey now
Most quick-commerce apps don't lose repeat orders purely on delivery speed. They lose them due to inconsistent slot availability, weak basket-building prompts, poor post-order communication, unclear loyalty mechanics, and brand interchangeability at checkout, none of which fully show up in app analytics dashboards or cohort retention reports.
If you are...
- Quick-commerce app competing on retention
- Dark store network scaling city coverage
- Category or assortment planning lead
- Growth or acquisition funnel owner
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete quick-commerce user journey from first download to habitual reorder.
Discovery & Adoption
- First-install trigger, referral source
- App store vs. word-of-mouth entry
Brand Preference
- Primary app, secondary fallback
- Brand switching triggers, loyalty signals
Reorder Frequency
- Weekly order cadence, basket size
- Planned vs. impulse reorder split
Delivery Experience
- Promised vs. actual delivery time
- Order accuracy, packaging condition
Pricing & Promotions
- Discount sensitivity, free-delivery threshold
- Subscription plan uptake, coupon usage
Catalogue & Availability
- SKU depth, stockout frequency
- Private label vs. national brand preference
Trust & Retention
- Refund resolution speed, support quality
- Data privacy comfort, app permission acceptance
Competitive Switching
- Multi-app usage, share-of-wallet split
- Churn triggers, win-back conditions
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 the 10-Minute Grocery Delivery App Brand Preference & Repeat Order Frequency Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, 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
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 quick-commerce and grocery delivery space.
Dark store format preference & basket composition drivers (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Dark store format preference & basket composition drivers (India)
Subscription pass adoption & churn intent among lapsed users (India)
Dark store format preference & basket composition drivers (India)
OBJECTIVE
A quick-commerce platform needed to identify why high-frequency urban grocery buyers split orders across multiple apps, and which assortment gaps and slot reliability perceptions drove that split rather than consolidation onto a single platform.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 6 metros, capturing app switching triggers, basket size by category, delivery slot satisfaction scores, and stated reasons for primary app designation versus secondary app usage.
DELIVERED
A category-level switching map , a ranked friction list by delivery stage , a primary app designation framework segmented by household size and order frequency, and a set of assortment priority corridors by metro cluster.
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 daily users, weekly users and occasional users?
How will you measure app brand preference beyond simple ratings?
Will the survey map the full quick-commerce ordering journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our repeat order and retention campaigns?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.