Marketing Analytics Consulting & Solutions

Build ML models based on Multi Touch Attribution to measure and optimize marketing effectiveness across various brands. These models can deliver insights on customer behavior, determine most influential touchpoints, and fine-tune campaigns for conversion rate optimization.

Accurately assess marketing ROI and its influence on sales with ML-driven marketing mix modelling. It includes attribution modeling to quantify variables such as pricing, promotion, economics, and competitiveness, which directly or indirectly influence marketing efforts.

Evaluate key performance indicators like brand recognition, customer loyalty, and brand equity to gauge the effectiveness of branding initiatives and their ability to create brand awareness. A strong brand identity can lead to better customer experience and long-term success.

Utilize ML models and algorithms to recommend budgets, select the most suitable campaign tactics, and refine strategies. Analyze campaign performance with key metrics such as CTR, conversion rates, and cost per acquisition to ensure that marketing efforts remain efficient, cost-effective, and aligned with business objectives.

Leverage advanced ML algorithms for customer behavior analytics and build end-to-end personalized recommender systems to maximize order value, boost profitability, and identify strategies that can up-sell and cross-sell products.

Split testing enables organizations to make data-driven decisions about webpages, emails, and marketing campaigns. By collecting, analyzing, and visualizing data, organizations can optimize their digital assets for improved user engagement, conversion rates, and overall business performance.

Employ predictive analytics to implement pricing and promotional strategies within your product portfolio management. These strategies are designed to maximize sales, revenue, and profitability while efficiently analyzing factors such as market demand, competition, and production costs.

Leverage data analytics techniques such as cluster analysis or predictive modelling ML to create precise and dynamic segments, deliver personalized experiences, allocate resources effectively, and adapt to the ever-evolving needs of your target audience.

Implement Social Media Analytics powered by ML algorithms and models to optimize data collection, sentiment analysis, content recommendations, audience segmentation, influencer identification, real-time monitoring, and much more.