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Join BetaThere is no straightforward tool to collect and analyze field-level data (foot traffic, try-on rates, conversion, customer feedback) and correlate it with product assortment, pricing, and display choices to identify why a market day underperformed.
A simple mobile-first analytics app for local market vendors. It guides the user to log daily variables (weather, foot traffic, number of try-ons, sales, customer comments) and then automatically highlights correlations and likely causes (e.g., 'Low try-on rate suggests display or pricing issue'). Uses simple visual dashboards and contextual tips to prevent overreaction.
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