Tapping consumer behavioral needs, attitudes, and perception using search data
Search Data is only restricted to identifying trending words and optimizing search engines to return better search results
Correlating insights from search behavior with business outcomes
Measuring consumer behavior using search traffic data
Comprehensive keyword discovery to tap consumer search behavior that is favorable to your business
Use of NLP to identify emerging themes of interest
Continuous mining of search data to identify real-time trends
Demand forecasting model using ensemble temporal machine learning techniques
Causal modeling to identify what themes or consumer interests will influence business KPIs
Optimizing paid search investments by aligning campaigns to customer interests
Helped a CPG company optimize their ~$400M media buying and planning activities for their key product lines using analysis around ‘how consumers search topics of interest’
Helped a large technology company optimize their ~$250M Paid Search spend to influence search behavior in order to improve conversion.
Helped a computer manufacturer identify interest in emerging technologies in order to understand purchase intent and optimize their $500M marketing development funds (MDF)
Improve forecasting accuracy and predict regional sales metrics with up to 90% accuracy.
Optimize digital spends and increase paid search contribution by ~10%.