4.1.1 Statement of Applicability (SoA)
The scope of the company’s ISO 20252: 2019 encompasses the delivery of behavioral market research based on ecommerce experiences.
Our Behavioral Testing
Methodologies
Our methodologies are built on the principle of simulating real-world
e-commerce and digital retail environments to capture authentic behavioral data, ensuring highly predictive results.
1. Concept Development & Evaluation
These tools transform abstract ideas into market-ready concepts and rigorously test their in-market potential.
Innovation Text-to-Shopper-Friendly Creation & Test
- Purpose: To move clients from abstract, theoretical, text-based concept descriptions to tangible, realistic execution material.
- Methodology: We facilitate the creation of a complete, shopper-friendly digital product page and all associated content (product imagery, benefit visualizations, descriptions).
- Result: This execution material is then used in the subsequent Behavioral Concept Test, allowing clients to test how consumers will truly react to the product as it would appear in an e-commerce environment, leading to more predictive results than traditional methods.
Béhavioral Concept Test
- Purpose: To achieve accurate sales forecasts by observing unconscious, natural shopper choices rather than stated intent
- Methodology: We deploy a sophisticated simulation that recreates an authentic e-commerce shopping experience, specifically optimized for a mobile phone environment (instead of trying to recreate a physical shelf).
- Result: This simulation ensures a smooth, realistic shopping journey, prompting consumers to make unconscious, natural choices.
2. Pricing and Revenue Optimization
These methodologies determine optimal pricing and revenue strategy by testing decisions in a competitive, behavioral context.
Innovation Text-to-Shopper-Friendly Creation & Test
- Purpose: To determine optimal pricing and true price elasticity by simulating a competitive purchase decision, outperforming traditional methods (PSM, Gabor-Granger).
- Methodology: To determine optimal pricing and true price elasticity by simulating a competitive purchase decision, outperforming traditional methods (PSM, Gabor-Granger).
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1. Behavioral Input: The respondent inputs a price they believe is fair for the unpriced tested product.
2. Purchase Decision: The store reloads with the tested product at the inputted price, and the respondent makes a final competitive purchase. - Key Insight: This approach reveals that price elasticity is not a simple bell curve; the demand curve often shows multiple spikes ("sweet spots") where price changes trigger a significant shift in sales due to competitive dynamics. This provides a more accurate forecast for maximizing competitive advantage.
Kiosk Revenue Growth Management (RGM) Test
- Purpose: To optimize the digital menu interface and pricing strategy for maximum profitability in fast-food environments utilizing self-ordering kiosks.
- Methodology: Recreates the entire digital kiosk ordering experience in a high-fidelity simulation. Respondents are guided through realistic shopping situations (e.g., ordering for a family).
- Insights: By simulating various scenarios (Menu Engineering, Pricing & Promotion changes), we precisely measure the impact on key business metrics like Revenues, Profit, Average Order Value (AOV), and other specific objectives. This provides a data-driven path to optimizing the digital menu.
3. E-commerce Execution and Conversion Testing
This specialized methodology focuses on optimizing the visual and content assets that directly drive online sales performance.
E-commerce Results and Product Pages Test
- Purpose: To optimize specific visual and textual elements on an e-commerce product page to drive conversion and engagement.
- Methodology: Involves recreating a realistic e-commerce retailer environment and directing respondents through a simulated shopping trip to isolate the impact of different page components.
- Result: Generates clear, behavioral data on content strategies that yield the highest engagement and purchase intent, providing actionable direction for improving Conversion Rates (CR) and Add-to-Cart Rates (ATC) on live retailer sites
- Tested Assets: We systematically vary and evaluate the effectiveness of:
- Primary Image: Capturing immediate attention from search results.
- Secondary Image Gallery Set: Capturing immediate attention from search results.
- A+ Merchandising / Enhanced Content: Rich media (charts, videos) used to overcome final purchase hurdles.
The company attests to the following Statement of Applicability and Annexes as meeting the requirements of ISO 20252: 2019.
| ANNEX | ATTESTED | EXCLUDED | EXCLUSION EXPLANATION |
|---|---|---|---|
| Annex A Sampling Sampling according to project scope | ✕ | Not doing sampling work | |
| Annex A Access Panel Corporate Panel management | ✕ | Not managing a panel | |
| Annex B Fieldwork Data collection: Telephone or CATI Qualitative l Quantitative fieldwork | ✕ | Not doing telephone or CATI | |
| Annex C Physical observation Fieldwork observational data collection | ✕ | Not doing physical observation | |
| Annex D Digital observation Electronic data collection using passive methodologies | Attested | ||
| Annex E Self completion Invited participants self-complete surveys | Attested | ||
| Annex F Data management and processing involving manual data entry l electronic data entry l coding / editing l analysis | Attested |
The company excludes Annexes A,B and C from this scope as we do not offer these services.
This attestation is authorised by the directors and made available to clients and other interested parties via the company website. or on request. This SoA is reviewed annually in accordance with Clause 4.1.1 requirements.
Director: Pierre Berthier
Date: 23 Dec 2025