How AI can Help CMOs overcome Data Blindspot
Kishore Dharmarajan
Thought Leader in Generative AI, Metaverse, Digital Marketing & SEO with 100,000 Social Media Fans | CEO of SeoSouq.com | Baselook.com | Dubai.Digital | idhabi.com
Data blindspots, or areas where critical data is missing or overlooked, pose significant challenges for CMOs.
Blindspots hinder the understanding of customer behavior, measuring campaign effectiveness, and making informed decisions.
Surprisingly, AI can solve this.
To start with , it’s critical to understand how businesses work, not just how platforms work. (this is a whole different conversation ?? something that we don't discuss publicly.)
Most efforts are on identifying the conversion path and click journey.
The true power of big data lies in the ability to utilize data at an individualized consumer level and cluster segments to find groups of people with similar behaviors.
Then, by comparing segments demographically and behaviorally, you can identify a high-value segment of buyers and use attitudinal and qualitative data to gain greater insights.
Fortunately, AI algorithms can process vast amounts of data to identify patterns and trends that humans might miss.
Machine learning models predict customer behavior, enabling proactive marketing strategies.
Additionally, AI-driven automation streamlines data collection and analysis, ensuring continuous and comprehensive data coverage.
By leveraging AI, CMOs can illuminate blindspots and drive more effective marketing decisions.
To know more, reach out to seosouq.com today. ??
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5 个月Informative. Thank you for sharing.