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How Explorer Research Improved Shopper Behavior
Insights with Insight7

Case Study

Industry: Marketing Research

Employees: 60+

Revenue: $9.8M

Summary

Problem Insight7 solves: Insight7 empowers Explorer Research to overcome the challenges of manual qualitative data analysis by automating transcript processing, uncovering hidden patterns, and enabling seamless integration across research methodologies. This allows Explorer to deliver faster, more comprehensive, and actionable shopper behavior insights at scale.

ROI

Time Savings:
Explorer Research achieved a 75% reduction in analysis time, automating manual processes that previously took days and completing them in minutes.

Efficiency:
Insight7’s platform streamlined operations, ensuring fast turnaround without compromising the quality or depth of insights.

Increased Client Engagement:
Comprehensive visual reports improved client communication and fostered better collaboration, boosting trust and satisfaction.

Company Profile

Explorer Research is a leading shopper research agency, renowned for its conscious and non-conscious techniques to understand, predict, and influence shopper behavior. Their diverse research methodologies, including biometric analytics, virtual reality simulations, and eye-tracking, are designed to help the world’s top brands optimize packaging, planograms, and retail media. However, as their services expanded, the complexity of synthesizing qualitative data became a challenge—one that Insight7 was uniquely positioned to solve.

The Challenge

Explorer Research’s mission is to deliver unmatched behavioral insights to drive growth for their clients. Yet, as shopper research methods grew more sophisticated, so did the challenges of handling qualitative data. Explorer faced three primary hurdles:

Inefficiencies in Data Analysis
Manually analyzing hours of shopper interviews, focus group discussions, and observational data from various environments—virtual, online, and in-store—was labor-intensive. This slowed their ability to deliver actionable insights to clients promptly.
Fragmented Insights Across Methodologies
With their wide range of services, including virtual reality simulations, biometric analytics, and e-commerce testing, data was often siloed. This made it difficult to extract overarching insights and understand the interconnected factors driving shopper behavior.
Scaling Operations with Precision
As demand for immersive shopper research grew, so did the pressure to deliver timely, high-quality insights at scale. The team needed a solution that could streamline data analysis without sacrificing the depth and precision their clients expected.

The Solution

Explorer Research partnered with Insight7 to address these challenges and transform their qualitative data analysis process. Insight7’s advanced capabilities allowed Explorer to overcome the bottlenecks associated with manual analysis and focus on delivering actionable shopper intelligence.

Here’s how Insight7 enhanced Explorer’s research:

Automated Transcript Analysis
Insight7 enabled Explorer to upload and process multiple transcripts at once, significantly reducing the time spent manually analyzing shopper interviews and focus groups. The platform’s ability to handle bulk transcripts in minutes ensured faster turnaround times.
Advanced Theme Recognition
Using machine learning, Insight7 identified recurring themes, patterns, and behaviors across diverse datasets, helping Explorer uncover insights that might have been overlooked in manual reviews.
Integration Across Research Modalities
Insight7 bridged the gap between data collected from virtual simulations, in-store observations, and online experiments. This integration ensured that insights were cohesive and actionable, regardless of the methodology.
Data Visualization for Collaboration
Insight7 translated complex findings into intuitive visual reports, making it easier for Explorer’s team to present insights to clients and align stakeholders on next steps.

The Outcome

By leveraging Insight7’s capabilities, Explorer Research transformed its approach to qualitative data analysis, achieving measurable improvements in efficiency, insight quality, and scalability.

75% Reduction in Qualitative Analysis Time
Automated transcript processing allowed Explorer to deliver insights faster without compromising depth or accuracy.
Enhanced Behavioral Insights
Insight7’s AI-powered theme recognition uncovered non-conscious drivers of shopper behavior, enabling more nuanced recommendations for clients.
Improved Client Engagement
Data visualizations and comprehensive reporting made it easier for Explorer to communicate findings, fostering trust and collaboration with clients.
Scalable Research Operations
With streamlined analysis, Explorer could handle a higher volume of projects, meeting growing client demands while maintaining quality.

Looking Ahead

The integration of Insight7 has solidified Explorer Research’s position as a leader in shopper behavior analysis. As they continue to innovate in areas like biometric analytics and virtual shopping simulations, Insight7 remains a critical partner in scaling their operations and delivering unparalleled insights to global brands.

Together, Explorer Research and Insight7 are setting new standards in qualitative research, helping clients not only understand but also predict and influence shopper behavior with precision.