Meiko

Soluciones accionables para crecer en el canal tradicional.

General Information
Company Name
Meiko
Founded Year
2009
Location (Offices)
Bogota, Colombia +1
Founders / Decision Makers
Number of Employees
144
Industries
Analytics, Information Technology, Marketing
Funding Stage
-
Social Media

Meiko - Company Profile

Meiko is a leading company in understanding the traditional retail channel in Latin America. In a market where Consumer Goods have a unique habitat, with each store, each purchase, and each shopper representing a world of data, Meiko captures and translates this information into actionable opportunities that drive the growth of the consumer goods industry in complex and granular environments. The company's team has extensive experience in market understanding, enabling them to contribute to value creation and support decision-making for enterprises. Their focus is on making the invisible visible by providing diagnostics that reveal actionable opportunities at the point of sale, segmenting universes to concentrate resources and identify potential operational zones, and individualizing responsibilities to identify opportunities at the zone and salesperson level. Their methodology involves massive, accurate, and updated information gathering in the traditional retail channel through continuous block-by-block audits. Since its establishment in 2009, Meiko has been operating in the fields of analytics, information technology, and marketing. Although specific details regarding their headquarters, last investment, or investors were not provided, Meiko appears to offer a unique and valuable approach to understanding and optimizing traditional retail channels in the dynamic Latin American market, providing potential investment opportunities for those interested in the analytics, information technology, and marketing sectors.

Taxonomy: Market Research, Retail Analytics, Consumer Insights, Traditional Channel Strategy, Shopper Behavior Analysis, Go-to-Market Strategy, Consumer Goods Industry, Sales Optimization, Data-driven Decision Making, Point of Sale Analytics

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