Social Commerce & Influencer Impact Survey
Map how online shoppers evaluate, compare, and choose products through influencer content, platform storefronts, and peer recommendations, so you can sharpen conversion strategy, refine creator-tier investment, and fix channel attribution gaps.
CONTEXT & RELEVANCE
Why run this survey now
Most social commerce teams don't lose conversions purely on content quality. They lose them due to creator-audience mismatch, platform algorithm shifts, attribution blind spots, checkout friction, and post-purchase trust gaps, none of which fully show up in influencer dashboards or platform analytics reports.
If you are...
- D2C brand scaling social channels
- Influencer marketing platform or agency
- Category or brand portfolio head
- Revenue and growth strategy lead
- Creator monetisation or partnerships team
You're likely facing...
- Creator tier vs. conversion rate gap
- Attribution confusion: organic vs. paid social
- Micro-influencers = niche/unscalable perception
- Drop-offs: discovery to checkout stage
- Repeat purchase vs. one-time buyer split
This will help answer...
- Purchase drivers beyond follower count
- Funnel drop-off by platform
- Segment preference by creator tier
- Price sensitivity via social proof
- Loyalty triggers post-influencer discovery
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete social buyer journey from discovery to post-purchase advocacy.
Discovery & Reach
- Platform-led product discovery channels
- First-touch content formats
Influencer Credibility
- Nano, micro, macro tier trust gaps
- Authenticity signals vs. sponsored disclosure
Purchase Conversion
- In-app checkout vs. redirect drop-off
- Shoppable post conversion triggers
Content & Format
- Short-form vs. long-form purchase intent lift
- Live commerce engagement depth
Pricing & Incentives
- Influencer discount code redemption rate
- Flash sale urgency vs. price sensitivity
Trust & Returns
- Post-purchase satisfaction vs. influencer expectation
- Return friction on social-originated orders
Loyalty & Advocacy
- Repeat purchase rate via social channels
- User-generated content sharing intent
Platform Preference
- Platform switching triggers by category
- Native shop vs. third-party marketplace split
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 Social Commerce and Influencer Impact Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across creator tiers and buyer segments.
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 social commerce and influencer marketing space.
Creator tier preference & content trust mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Creator tier preference & content trust mapping (India)
Live commerce friction & drop-off diagnosis (Southeast Asia)
Creator tier preference & content trust mapping (India)
OBJECTIVE
A direct-to-consumer fashion brand needed to identify which creator tiers (nano, micro, macro) drove the strongest purchase intent signals across Gen Z and millennial shoppers , and how content format shaped that intent.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 6 metros, capturing creator discovery channels , content format preferences , trust attribution by tier , and the specific triggers that moved a viewer from passive engagement to cart addition.
DELIVERED
A creator tier preference map by audience cohort, a ranked content format levers list , a trust-to-conversion corridor by platform, and a segment framework separating impulse-driven buyers from research-led buyers.
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 nano-influencer audiences, mid-tier influencer audiences and celebrity-driven audiences?
How will you measure influencer-driven purchase intent beyond simple ratings?
Will the survey map the full social discovery-to-purchase journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our influencer investment and creator partnership decisions?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.