Our Methodology

Most brand sentiment data is hidden in spreadsheets, behind complex APIs, or inside cumbersome tools. AFBHI's goal is to make this data more accessible through graphs, charts, analysis and visualizations. We also strive to present the most recent information available, and develop our own projections based on real-time data.

Where Our Data Comes From

Primary Sources

Our team of experts has years of experience in the field of data analysis and market research. We are committed to providing accurate and up-to-date information to our users.

  • Google News RSS
  • Bing News API
  • Social Media Feeds (Twitter/X, Reddit - Coming Soon)

Update Frequency

We continuously update our datasets and apply NLP models to estimate sentiment figures where direct data is structured.

How We Estimate Brand Health

When direct sentiment counts aren't clear, we use statistical models and trend analyses based on:

  • Recent News Volume & Projections: Tracking the velocity of stories.
  • Sentiment & Authority Models: Weighting stories by source credibility.

Data Limitations and Methodology

Understanding the Nuances of Sentiment Data

Sentiment statistics are a powerful tool, but they’re not always perfect. We continuously strive to handle data gaps, inconsistencies, and estimations to provide the most reliable figures possible.

Institutions strive for accuracy, but real-world challenges, such as multiple languages, sarcasm, and bias, can create discrepancies in sentiment figures. At AFBHI, we acknowledge these limitations and apply rigorous methods to ensure our data remains as reliable as possible.

Factors That Affect Data Accuracy

  • Outdated Reports:
    Many sources update infrequently, meaning figures may not reflect real-time shifts.
  • Political & Reporting Biases:
    Some sources may underreport or overreport issues for political or economic reasons.
  • Incomplete or Missing Data:
    In regions with limited digital infrastructure, accurate digital footprints may not be available.
  • Differing Definitions:
    Concepts like "positive sentiment" can vary by cultural context, affecting global comparisons.

Our Commitment to Data Accuracy

Why Trust AFBHI?

We combine automated AI analysis with human oversight to ensure the highest quality of competitive intelligence.

The Brand Health Index (BHI) Formula

BHI = (Sentiment) + (Volume) + (Authority) + (Momentum) + (Consensus) (weighted blend)

Get In Touch With Us

Have questions or suggestions? We'd love to hear from you.

Contact Support