Traditional market research overemphasizes rational decision-making. However, decisions aren't always logically driven. By having shoppers undertake a shopping trip, we naturally observe their typical behaviors without posing complex questions. Behavioral tracking aligns more with in-market performance than traditional concept tests (0.8 vs 0.2 in studies).
Using eCommerce for behavioral market research is cost-effective and relevant, even for categories predominantly sold through offline channels.

• Between different product ideas which one is the most likely to succeed?
• What is the cannibalization of the new product launch on the rest of the existing portfolio?
• What is the price point maximizing appeal and value for the new product for the total brand?
• What is the packaging best able to maximize appeal?
• What is the best communication asset to launch this new product?

• Monadic and behavioral, much higher correlation to in-market performance
• Realistic, it forces the team to work on content that could be really used when the product idea is launched
• Time and cost-efficient, in comparison to virtual reality type of test it can be set up in a matter of days and would be much cheaper to execute (results ready in ~2 weeks)
• Simple, no need for an app. or additional device. We track everything visible on our respondent screen on their laptop or mobile no complicated setup is needed, making the whole process very natural for them

• Test environment, quickly recreate our clients category (including competitors) with minimal input needed. Various stores available (Amazon, Walmart, WB Mason)
• Respondents, recruit the relevant target audience based on the client brief. Use the biggest suppliers existing on the market (Lucid, Norstat, Purespectrum)
• Field, track all the actions respondents have on the store and follow up with additional questions on their behavior
• Results, based on clear metrics (buying, vol/value share, etc.) and providing actionable next steps.

We know that content on the product page is vital for increasing sales conversions, especially when testing various options. It's essential to create a page that mirrors real eRetailer features (like secondary images, A+, etc.) and interactive mechanisms on both mobile and desktop platforms. This way, we can confidently predict that the observed results will translate to actual outcomes when the materials are displayed on the live product page.

• What is the proper set of secondary pictures we should use to improve conversion?
• Should we invest on Amazon A+ Premium content, or can we perform well with standard A+ content?
• Is the uplift this eRetailer promises us with a new feature realistic?
• What should we prioritize in terms of quality between video and secondary pictures?

• Monadic and behavioral, much higher correlation to in-market performance
• Realistic, it forces the team to work on content that could be really used when the product idea is launched
• Time and cost-efficient, in comparison to virtual reality type of test it can be set up in a matter of days and would be much cheaper to execute (results ready in ~2 weeks)
• Safe, do not use online assets that have been proved better
• Simple, no need for an app. or additional device. We track everything visible on our respondent screen on their own laptop or mobile no complicated setup is needed, making the whole process very natural for them

• Test environment, recreate a product page environment reproducing the look and feel of eRetailers: Amazon, Walmart, Carrefour, and many more
• Respondents, recruit the relevant target audience based on the client brief. Use the biggest suppliers existing on the market (Lucid, Norstat, Purespectrum)
• Field, respondents browse several product pages (tested product + key competitor), that are fully interactive
• Results, based on clear metrics (time spent, buying, image conversion, etc.) and providing actionable next steps.

In eCom performance, the primary image stands as the cornerstone. On most platforms, this image drives users to open the product page.
Meanwhile, on grocery platforms, a staggering 99% of purchases come directly from the results page with the simple action of "adding to cart." Given its significance, choosing the correct primary image is essential.

• What is the right primary picture to improve opening and conversion rate?
• What is the primary image efficiently communicating “Premium”?
• What is the best way to communicate the key distinctive benefit this product offers?
• What is the best way to communicate in a consistent way the different benefits of each product in the range?

• Monadic and behavioral, much higher correlation to in-market performance
• Realistic, it forces the team to work on content that could be really used when the product idea is launched
• Time and cost-efficient, in comparison to virtual reality type of test it can be set up in a matter of days and would be much cheaper to execute (results ready in ~2 weeks)
• Safe, do not use online assets that have been proved better
• Simple, no need for an app. or additional device. We track everything visible on our respondent screen on their own laptop or mobile no complicated setup is needed, making the whole process very natural for them

• Test environment, an eCom shopping experience by reproducing the look and feel of eRetailers: Amazon, WB Mason, Walmart, Carrefour, and many more
• Respondents, recruit the relevant target audience based on the client brief. Use the biggest suppliers existing on the market (Lucid, Norstat, Purespectrum)
• Field, respondents go for a shopping trip where the content is fully interactive. They can decide to buy 1 product, several, or none
• Results, based on clear metrics (buying, opening, vol/value share, etc.) and providing actionable next steps.

In our world, everybody uses a mobile phone to learn more about a product or service. We want to help brands transform a text concept into a realistic website.
It does not feel natural for “normal” people to project themselves into a product or service described only in text. Browsing a mobile website does not require much; they do that for more than 3 hours daily!

• What is the right way to talk about a new R&D innovation to make it appealing to shoppers?
• How do different services complement each other, and do they attract additional / incremental buyers?
• What is the right brand to launch a new product?
• How does a 15% price increase for the service/product impact customer purchasing behavior?
• Is there any adverse effect on our brand`s perception when integrating a "Buy now" button?

• Monadic and behavioral, much higher correlation to in-market performance
• Realistic, it forces the team to work on content that could be really used when the product idea is launched
• Time and cost-efficient, in comparison to virtual reality type of test it can be set up in a matter of days and would be much cheaper to execute (results ready in ~2 weeks)
• Simple, no need for an app. or additional device. We track everything visible on our respondent screen on their laptop or mobile no complicated setup is needed, making the whole process very natural for them

• Test environment, replicate various mobile websites to test elements in your concept/product idea. You can specify the website details for testing or seek our assistance in creating them
• Respondents, recruit the relevant target audience based on the client brief. Use the biggest suppliers existing on the market (Lucid, Norstat, Purespectrum)
• Field, respondents browse and either add products to their cart or simply visit without making a purchase. We track all their actions and ask follow-up questions once the shopping trip ends
• Results, based on clear metrics (time spent, buying, image conversion etc.) and providing actionable next steps.

Traditional market research overemphasizes rational decision-making. However, decisions aren't always logically driven. By having shoppers undertake a shopping trip, we naturally observe their typical behaviors without posing complex questions. Behavioral tracking aligns more with in-market performance than traditional concept tests (0.8 vs 0.2 in studies).
Using eCommerce for behavioral market research is cost-effective and relevant, even for categories predominantly sold through offline channels.

• Between different product ideas which one is the most likely to succeed?
• What is the cannibalization of the new product launch on the rest of the existing portfolio?
• What is the price point maximizing appeal and value for the new product for the total brand?
• What is the packaging best able to maximize appeal?
• What is the best communication asset to launch this new product?

• Monadic and behavioral, much higher correlation to in-market performance
• Realistic, it forces the team to work on content that could be really used when the product idea is launched
• Time and cost-efficient, in comparison to virtual reality type of test it can be set up in a matter of days and would be much cheaper to execute (results ready in ~2 weeks)
• Simple, no need for an app. or additional device. We track everything visible on our respondent screen on their laptop or mobile no complicated setup is needed, making the whole process very natural for them

• Test environment, quickly recreate our clients category (including competitors) with minimal input needed. Various stores available (Amazon, Walmart, WB Mason)
• Respondents, recruit the relevant target audience based on the client brief. Use the biggest suppliers existing on the market (Lucid, Norstat, Purespectrum)
• Field, track all the actions respondents have on the store and follow up with additional questions on their behavior
• Results, based on clear metrics (buying, vol/value share, etc.) and providing actionable next steps.