Geotargeting is a critical component of Contextual Marketing. It involves delivering content based on the consumer's geographic location. By knowing where a consumer is, businesses can provide more relevant offers and information that cater to their immediate surroundings. For example, a retail store might use geotargeting to send promotional offers to consumers who are nearby.

Predictive Analytics plays a significant role in Contextual Marketing by analyzing historical data to predict future consumer behaviors. This allows businesses to personalize their marketing messages more effectively. Personalization, in turn, ensures that the content delivered is highly relevant to the individual consumer, enhancing their overall experience.

Behavioral Targeting involves tracking and analyzing consumer actions to deliver more relevant content. This is closely tied to Customer Journey Mapping, which outlines the various stages a consumer goes through before making a purchase. By understanding these behaviors and stages, businesses can tailor their marketing efforts to align with the consumer's journey, making the communication more effective.

Real-Time Marketing is essential in Contextual Marketing as it involves delivering messages at the precise moment they are most relevant. AB Testing is used to optimize these real-time messages by comparing different versions to see which one performs better. This continuous optimization ensures that the content remains relevant and effective.

Occasion Segmentation and Event-Based Segmentation are techniques used to categorize consumers based on specific occasions or events. This allows businesses to tailor their marketing efforts according to particular times or events that are relevant to the consumer. For example, a company might launch a marketing campaign specifically for holiday shoppers or event attendees, ensuring the content is contextually appropriate.