Data Collection and Analysis-
- Utilize advanced data collection methods to gather comprehensive marketing data from diverse sources, including CRM systems, web analytics, social media interactions, and emerging platforms.
- Employ generative AI tools to analyze large datasets, uncovering patterns, trends, and insights that inform customer preferences and behavior.
- Generate responsive models and simulations using AI to forecast market trends, campaign outcomes, and customer responses, as well as clean and organize marketing data from multiple sources, including CRM systems, Google Analytics, social media platforms, and other relevant sources.
- Analyze large datasets to identify trends, patterns, and insights related to customer behavior, campaign performance, and marketing ROI.
- Use statistical techniques and data visualization tools to present findings in a clear and actionable manner.
- Work alongside teams across the organization, integrating AI insights to support broader business objectives and enhance cross-departmental initiatives.
- Partner with the marketing team to develop and implement AI-generated content and strategies, driving our marketing efforts with innovation and efficiency.
- Facilitate the adoption of AI tools and methodologies within the marketing department, acting as a bridge between data science and marketing to foster a culture of innovation and continuous improvement.
- Conduct advanced market research and competitive analysis using generative AI models to process vast amounts of data for comprehensive market insights and forecasts.
- Apply AI to segment audiences more accurately, identifying niche markets and personalized marketing opportunities.
- Keep abreast of the latest developments in AI, marketing analytics, and industry trends, ensuring our marketing strategies benefit from the latest innovations and data-driven technique