Predictive A/B testing of in-store execution

With our supermarket simulations platform, we help insights, trade marketing and category teams to eliminate uncertainty from the planning process and fuel data-driven negotiations with key stakeholders.

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Insights

Insights

idea

Move away from claimed intent

Demonstrate leadership by shifting away from traditional research tools to provide more predictive results on a lower budget. Support your organization with NPD, pack redesign and POS or planogram projections based on contextual behavioral experiments with thousands of shoppers. The cost and turnaround are lower or comparable to a traditional poll or focus group.

What we do?

The Shopnosis supermarket simulations platform empowers in-store marketing decision-makers by allowing them to test, learn, iterate and launch executions that maximize sales. The vast majority of in-store executions don't deliver—mostly because the most commonly used analytics tools are not predictive or scalable enough. Supermarket simulations, however, are highly predictive. Shopper choices in virtual supermarkets correlate 90% or more with real-life shopper choices.

Added value:

Shopnosis supermarket simulations are a game-changer in optimizing in-store execution. For the same cost of conducting traditional research, like polls and focus groups, it generates proper sales metrics that closely correlate to those achieved through real-life store trials. To understand the real added value, please select the solution you use most often to test in-store execution

I typically don't test

I typically don't test

Great! Your extensive experience allows you to make decisions based on intuition. However, even the most experienced professionals appreciate predictive sales metrics that are quick, easy and cost-effective to obtain. Reduce uncertainty, confirm your intuition and get an edge in negotiations with key stakeholders.

Start testing today

With our supermarket simulations platform, we help insights, trade marketing and category teams to eliminate uncertainty from the planning process and fuel data-driven negotiations with key stakeholders.

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