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Featured Case Study

How Samsung Relies on MFour for Behavior-Triggered Surveys to Unify the Consumer Path-to-Purchase

Samsung uses MFour's location-triggered surveys to capture point-of-emotion shopper feedback across AT&T, T-Mobile, Verizon & Best Buy — turning GPS-verified consumer insights into measurable sales lift.

2.3xPurchase Intent
+24%Demo Engagement
+31%Rep Skill Scores
+5%YoY Sales Lift
2,000+Shoppers / Mo
Watch the Full Story

Hear directly from Samsung and MFour leadership on how behavior-triggered surveys transformed their retail strategy.

The Challenge

Legacy Research Was Failing Samsung

Operating in one of the most competitive consumer electronics markets — carrier retail — Samsung needed research they could trust, at the speed their business demands.

Recall Bias & Unverified Respondents

Samsung relied on traditional panels where respondents self-reported store visits. There was no way to confirm if someone actually walked into a T-Mobile or Best Buy. People might misremember details, conflate experiences, or — in the worst cases — not have visited at all. This meant Samsung was making strategic retail decisions based on data they couldn't fully trust.

Speed Mismatch with Product Cycles

Samsung launches new devices throughout the year (S series, Z Fold/Flip) and needs to adjust merchandising, rep training, and demo strategies rapidly. Traditional survey turnaround times couldn't keep pace — by the time insights came back, the launch window had already shifted.

One-Size-Fits-All Retail Strategy

Without granular, store-level and carrier-level data, Samsung applied the same merchandising and training across all retail partners — even though each carrier's customer base, store dynamics, and demographic segments are different. Samsung needed a way to tailor strategy by location, carrier, and demographic segment, and they didn't have the data resolution to do it.

No Clear Line from Research to ROI

Samsung struggled to draw a direct connection between survey insights and revenue outcomes. Decision-makers needed confidence that research was driving measurable business results, not just generating reports.

The MFour Solution

Point-of-Emotion Research, Verified by GPS

MFour brought a fundamentally different methodology — reaching consumers as close to the actual experience as possible, validated by real behavioral data.

01

GPS-Verified, Fraud-Free Respondents

MFour leverages its mobile panel of hundreds of thousands of validated consumers who have opted in to share GPS data. When Samsung needs to survey shoppers at carrier stores, MFour doesn't ask people if they visited a store — they know they did, confirmed by GPS. This gives Samsung 100% certainty (or 99.9%) that respondents are real consumers who actually walked through the doors of specific retail locations. Zero percent fraud. No bots. No unverified recall.

Samsung surveys over 2,000 verified in-store shoppers per month — roughly 40% T-Mobile, 30% Verizon, 20% AT&T, 3% other carriers, and 7% Best Buy.

02

Point-of-Emotion Timing

Rather than surveying people days or weeks after a store visit, MFour triggers surveys either while the consumer is still in the store or immediately after they leave. This is the "point of emotion" concept — opinions are fresh, recall is at its strongest, and the nuanced details of the experience — how the rep behaved, what the merchandising looked like, whether a demo was offered — are still vivid.

For Samsung's use case, they often survey after the consumer leaves, because asking about rep interactions while still in front of the rep could bias the response.

03

Store-Level Granularity

Because the data is tied to specific GPS-confirmed locations, Samsung can analyze performance at the individual store and carrier level rather than relying on national averages. This allows them to identify exactly which locations have merchandising problems, which stores have undertrained reps, and where demo engagement is falling short — then target interventions precisely.

04

Measuring Three Pillars of In-Store Experience

Through the monthly tracker built with MFour, Samsung structured their research around three critical conversion drivers that together paint a complete picture of the in-store journey.

Merchandising

Is the in-store display clean, simple, and accessible? Does the customer feel overwhelmed or drawn in when they approach the Samsung section? MFour's surveys capture consumer reactions to the physical retail environment at the moment they're experiencing it.

Demonstration

Are consumers getting hands-on time with devices? And critically, are demos personalized — showing a working professional how calendar integration works, or a photography enthusiast the camera capabilities — rather than generic feature run-throughs?

Rep Knowledge & Skill

Measured on two dimensions: "verbal skill" (articulating specs, comparisons, and benefits in a way the customer understands) and "physical skill" (actually picking up the device and demonstrating features live). Samsung quantifies the gap between these two to target training investments at specific stores and reps.

05

The "Fair Trade Data" Foundation

MFour pays panelists roughly ten times the industry average, is transparent about exactly what data is collected, and allows opt-in and opt-out at any time by channel (app, location, etc.). They've earned Apple's permission to collect behavioral data through their app — something that is exceptionally rare. This "fair trade data" philosophy maintains a large, representative, and willing panel rather than relying on the broken router-based survey ecosystem.

“We survey 2,000 consumers a month. 0% fraud. All triggered in the point-of-emotion when the consumer experiences Samsung — whether by GPS-verified foot traffic into a store or online behavior.”

— Nick Philyaw, Market & Competitive Intelligence, Samsung

Measurable Results

From Insights to Revenue Impact

Samsung built a closed loop with MFour — GPS-verified insights drive specific changes in specific stores, then the tracker measures whether those changes drove revenue.

2.3x

Purchase Intent

This isn't a vague brand lift number — go-to-market strategies informed by tracker data are associated with purchase intent more than double expectations, tied to verified in-store shoppers who experienced the specific merchandising, demos, and rep interactions Samsung has been optimizing.

+24%

Demo Interactions

Redesigned demos — personalized and scenario-based rather than generic — drove a significant uplift in hands-on device engagement. Because "seeing is believing," demo engagement is directly correlated with conversion.

+31%

Rep Skill Scores

Targeted training programs informed by store-level data measurably improved rep knowledge and effectiveness. This included a program with one major carrier where every new rep goes through Samsung-specific training — over 2,000 reps trained with nearly 70% enrollment, driving a 5–10% increase in Samsung device sales.

+5%

YoY Sales Lift

Samsung identified through the tracker that cluttered displays were hurting conversion at a major carrier. They simplified 100% of that carrier's Samsung merchandising based on the findings — a direct, quantifiable ROI from research to retail action.

+15%

Demo Engagement YoY

The shift to personalized, real-life-scenario demonstrations — enabled by understanding what consumers actually respond to through the tracker — drove a sustained year-over-year increase in consumer engagement.

The Bigger Picture

What makes makes the work Samsung does with MFour so powerful is the closed loop: insight → action → measurement → refinement. They're not just collecting survey data — they're using GPS-verified, point-of-emotion insights to make specific changes in specific stores, then measuring whether those changes drove revenue. That cycle is exactly what enterprise clients struggle to achieve with traditional research, and it's what makes MFour's approach distinctly differentiated.

“Seeing is believing — and that's exactly what GPS-verified, point-of-emotion research delivers.”

Nick Philyaw— Nick Philyaw, Market & Competitive Intelligence at Samsung

The Samsung relationship also demonstrates MFour's broader value proposition beyond surveys: the OmniTraffic data product for behavioral signals independent of surveys, an AI-powered insights layer that democratizes access to complex data, and emerging ChatGPT conversation data that positions MFour at the frontier of understanding how LLMs influence purchase behavior.

See How MFour Can Transform Your Consumer Research

Like Samsung, your brand can close the loop between consumer insights and revenue. GPS-verified data, point-of-emotion timing, and store-level granularity — all from MFour.