It is estimated that in Central America close to 17 million people show interest in the digital environment for carbonated beverages, with Dr Pepper, Coca-Cola, Fanta and Mineral Water being some of the terms most associated with consumers with high purchasing power.
An analysis of the interests and preferences of consumers in Central America, prepared by the Commercial Intelligence Area of CentralAmericaData, shows interesting results on the preferences and tastes of people in diverse foods, products, services, beverage brands and activities.
Below is an extract of the analysis:
In all Central American markets, most of the consumers who have expressed interest in the digital environment for carbonated beverages are women, who to a large extent are located in a demographic range between 26 and 35 years old.
(Word cloud from the report, with details of the positioning of some brands at a regional level).
When analyzing the terms associated with interest in beverages, Salvadoran consumers classified as high socioeconomic level, quite often relate the words Pepsi, Coca-Cola and Mineral Water with this type of carbonated products. In the case of the Nicaraguan market, Fanta, Pepsi and Sprite are some of the brands that high-income people associate with the topic.
In the digital environment of Guatemala, Dr Pepper, Sprite and Coca-Cola are some of the brands that consumers classified as “medium-high” most associate with the soft drink market, while in Honduras, Pepsi, Lemon-Lime, Mineral Water and Sprite are four of the words that people generally relate most with this type of beverage.
The analysis details that in Costa Rica, some of the terms that have been most positioned in the minds of “high” socioeconomic level consumers are Diet Coke, Fanta and Pepsi, and in the Panamanian market, the Pepsi and Coca-Cola brands are among the most popular in the digital interactions of consumers in general.
This summary is only a part of a deeper analysis that can be developed at the level of each country and type of beverage, comparing with competitors and segmenting the results by zones, socio-demographic characteristics, purchasing power of individuals, relationship with other terms associated with the product, among other details.