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Audience Profiling & Targeting

Enhance the effectiveness of your marketing campaigns with data-driven audience insights and media expertise.

GlobeFT’s exclusive insights empower sellers to identify high-value target segments, optimize cross-platform media planning, and activate audiences with precision. By leveraging advanced data analytics, audience profiling, and machine learning models, we enable businesses to gain a deeper understanding of consumer behavior across multiple channels, including digital and social media.

  1. How can I gain deeper insights into and effectively target key consumer audiences?

  • We leverage customer segmentation, behavioral analysis, and predictive modeling to identify high-value audience groups and optimize marketing strategies for maximum engagement. Through Customer Lifetime Value (CLV) modeling and churn prediction, we help businesses focus on retaining their most profitable customers while minimizing attrition. With AI-driven personalization and real-time analytics, we enable brands to deliver targeted campaigns that resonate with their audience, drive conversions, and foster long-term loyalty. Partner with us to turn data into actionable insights and achieve sustainable business growth.

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    2. How can I determine the optimal media properties and media mix for my campaigns?

  • ​We analyze audience behavior, campaign performance, and cross-channel attribution to identify the most effective digital, social, and traditional media channels that maximize engagement and ROI. By leveraging predictive analytics and machine learning, we optimize budget allocation across platforms like Google Ads, Facebook Ads, connected TV, and organic channels, ensuring every marketing dollar is spent efficiently. Our expertise in A/B testing enables businesses to refine their media strategies, improve conversion rates, and drive sustainable growth.

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    3. How can I effectively understand and target consumer audiences with maximum flexibility?

  • ​We offer flexible access to data and customized solutions, allowing you to incorporate bespoke questions, connect datasets, and create tailored insights that align with your business objectives. Whether you need market comparisons, audience segmentation, or deeper consumer understanding, our data-driven approach empowers you to make smarter decisions with confidence. Unlock actionable insights and optimize your marketing strategy with our expertise.​​​​​

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Trading Stocks Based on Financial News Using Attention Mechanism

Sentiment analysis of financial news headlines influences stock market values. We analyze this impact by collecting financial news and stock data over time. Using VADER for sentiment analysis, we establish correlations with stock prices sourced from Yahoo Finance and Kaggle, while headlines come from the Wall Street Journal, Washington Post, and Business-Standard. Text embeddings like BoW and TF-IDF are used, followed by machine learning (Naive Bayes, XGBoost) and deep learning models (CNN, LSTM). CNN (80.86%) and LSTM (84%) outperform SVM (50.3%), Random Forest (67.93%), and Naive Bayes (59.79%). BERT (90%) and RoBERTa (88%) achieve the highest accuracy.

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