In an impressive display of predictive accuracy, Jordan-based analytics firm Makana 360 forecasted the U.S. election results with remarkable precision just two days before Election Day. The company’s data-driven methodology, powered by its proprietary Buraq tool, was able to accurately project the winning candidate’s support levels in swing states and nationwide. This achievement stands in stark contrast to many traditional polling institutions, whose predictions failed to capture the actual voter sentiment.
Makana 360’s forecast, published 48 hours before Election Day, showed 55.65% for Donald Trump and 44.35% for Kamala Harris—a close match to the actual results. This victory highlights the effectiveness of Makana 360’s innovative approach, which combines real-time social media metrics, traditional polling data, engagement indicators, and advanced sentiment analysis to offer a comprehensive view of public opinion.
“Our success in predicting the U.S. election outcome demonstrates the power of data intelligence and a methodology that goes beyond conventional polls,” said Abdurrahman Al-Husami, CEO of Makana 360. “We believe that understanding society’s online engagement, sentiment trends, and thematic issues gives a deeper and more accurate insight into voter behavior, especially in key swing states where digital data can reflect underlying support.”
A Proven Methodology
Makana 360’s prediction model incorporates:
- Engagement Levels: Tracking likes, shares, and comments to measure candidate popularity and momentum in real-time.
- Sentiment Analysis: Analyzing public sentiment to gauge positive, negative, and neutral opinions.
- Potential Reach: Estimating the audience exposed to each candidate’s messaging.
- Swing State Performance: Assessing candidate strength in critical swing states using both digital and historical data.
- Polling Data Integration: Balancing traditional poll data with real-time online engagement for a holistic forecast.
“Our approach is based on the understanding that voter behavior is complex and influenced by a blend of digital engagement, historical voting patterns, and localized themes,” said Al-Husami. “Unlike traditional polls that provide a snapshot of sentiment, Makana 360’s forecasting model adapts to real-time dynamics, reflecting shifts in voter engagement as they happen.”
A Track Record of Success
This isn’t the first time Makana 360 has correctly predicted election outcomes when others faltered. In past elections across Jordan, Turkey, and France, the firm’s model has consistently delivered accurate projections, even when other polling centers suggested different results. For example, during the 2020 Turkish elections, Makana 360’s predictions accurately anticipated a surge in support for President Erdogan, contrary to major polling forecasts.
A New Standard in Election Forecasting
Makana 360’s successful prediction of the U.S. election outcome has captured the attention of analysts, media outlets, and political strategists around the world. By harnessing the power of AI, machine learning, and big data, the company’s unique forecasting model presents a significant advancement in the field of election analytics.
As traditional polling faces mounting criticism for inaccuracies and limitations, data-driven forecasting is emerging as a more reliable and insightful method. Makana 360’s achievement underscores the effectiveness of this approach and sets a new standard for election forecasting globally.
“We are excited to share this success and are ready to bring our methodology to new markets,” Al-Husami added. “Our mission is to enhance how elections are analyzed and understood, bringing transparency and precision to this critical process.”
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