Brand Health Tracking

GeoPoll's brand health tracking solutions provide immediate feedback on brand health and key performance indicators across Africa, Asia, and Latin America

Immediately respond to changes in brand health using ongoing data

brand health tracking

GeoPoll works with leading FMCG brands throughout Africa, Asia and the Middle East who need to reach extremely specific audiences to track ongoing brand health metrics. We currently work with the top 5 FMCG customers on a monthly basis to help them meet their brand health tracking needs.

Using GeoPoll’s mobile data collection and panel of respondents, brands can track custom metrics across multiple countries at once, enabling them to immediately view changes in brand health, product awareness, competitor positioning, and more.


Brand Health Metrics

Some of the common brand health metrics GeoPoll can track over time using daily, weekly, or monthly surveys to your target audience include:

Consumer Habits

Measure how your customers perceive your brand versus competitors

Consumer Habits

Identify the preferences of your target audience over time

Success of Promotions

Identify your most successful promotions and their results

Advertisement Awareness

Track knowledge and perceptions of advertising campaigns

Quality and Value Perceptions

Assess perceptions of your products through unbiased feedback

GeoPoll Advantages

How GeoPoll’s mobile-based methodologies can help you gather vital data across the globe.

Extensive Call Center Network

GeoPoll manages thousands of interviewers in call centers in over 60 countries in Africa, Asia, and Latin America.

Existing Database of Respondents

GeoPoll can target our respondents by demographics, use Random Digit Dialing, or client-provided sample.

Multi-Modal Data Collection

Seamlessly conduct research via CATI voice calls, 2-way SMS messages, web links, and other mobile-based modes.

Full Service Research Team

Our experienced team manages everything from questionnaire design to interviewer training and data analysis.

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