Vote with your wallets™ TRANSACTIONAL TESTING program
How do you prove your new product will succeed in market? Sell it before you commercialize and launch it.
Powerful, flexible, insightful retail-testing scenarios
There are multiple tests that can match your learning objectives
Each model allows different levels of preparation while allowing unique levels of insight collection.
AMPLIFIERS
case Studies
Traditional Grocery
Retail Lab
Snyder’s wanted to see how far the company could extend itself into new categories, so we led their thinking in testing & strategizing several cutting-edge new product ideas with in-market experiences. The output of our tests gave them focus on a pipeline of products that would allow them to launch into new category spaces & new channels.
Weekend Tests
Danone had two beverage concepts with differing levels of research and senior management excitement that had been in development and consideration for several years. The team wanted to efficiently test the holistic propositions in a real store setting and determine areas for improvement, winning communication paths and determine if either had a right to win with consumers. Mission Field executed two weekend tests with clear results showing one idea resonating with consumers.
Omni-Channel Retail Lab
PepsiCo sought out our expertise to turn an internal kitchen recipe into a sellable formula that could be tested in unique away-from-home channels. We worked with them to identify a range of manufacturers, commercialize the recipe and execute production of 2,000 units of two different formula structures. Ultimately the product was sold to consumers allowing the team to experience real consumer reactions to this unique innovation & product experience.
Home Improvement
Retail Lab
The Clorox team developed a radically new concept for home cleaning that would require a consumer behavior change in how they shopped for the product (Home Hardware) and how they cleaned within their homes. This complex, six-product line up was tested over six months in two key retailers with two distinct selling propositions, two placements and two pricing variables. We enabled deep learning that the team used to radically pivot and avoid a costly launch with their key customer before the proposition was truly ready.