A Guide to Marketing Technology and CX

Data has become one of the most valuable assets for organizations. However, simply collecting data is not enough to make it a strategic asset. However, data is only valuable when it is organized, usable, and easily accessible. To truly make data a strategic asset, organizations need to invest in making their data usable.

Customer involvement in research processes is crucial for businesses looking to stay competitive and meet the needs of their target audience.

Predictive real-time marketing is a cutting-edge approach that leverages data, analytics, and technology to optimize return on investment (ROI) for marketing campaigns. This strategy involves using predictive modeling and real-time data analysis to anticipate customer behavior, personalize marketing messages, and make data-driven decisions in real time.

Aligning goals and incentives is crucial for collaboration and efficiency in any organization, especially in enterprise settings where different teams may have diverse objectives.

Success in B2B startups varies widely, with only one in ten actually succeeding, according to industry statistics. This means that the majority of B2B startups fail to achieve their intended goals and objectives.

86% of organizations consider their tech to be outdated, with 32% stating that this hinders them from delivering excellent customer experiences. This gap between aspirations to innovate and actual achievement is a common issue faced by many organizations.

Chatbots are a significant part of the future of content consumption. The use of AI technology, specifically chatbots like ChatGPT, has the potential to revolutionize the way users interact with and consume content. By providing a more personalized and interactive experience, chatbots can enhance user engagement and drive better results for media publishers and marketers.

Enterprise organizations need to identify and enforce clear AI governance policies within organizations. The conversation highlights the potential risks associated with generative AI platforms, such as data leaks and exposure of sensitive information.