Latency

Latency describes the time delay between the initiation of a request or action and the receipt of the corresponding response or the completion of the action. In the context of computer systems and networks, this is the time data takes to travel from one point to another. High latency can significantly impair user experience by slowing down interactions and leading to waiting times. It is typically measured in milliseconds and is a critical performance indicator for systems that rely on rapid responses, such as real-time applications, gaming, or AI-powered services.

For marketing managers, CMOs, and CTOs, low latency is critically important. In marketing, it directly influences the performance of websites, landing pages, and ad creatives, impacting conversion rates and user satisfaction. CTOs must ensure that infrastructure and APIs exhibit low latency to guarantee a smooth user experience and efficient data processing, especially for AI applications. High latency can lead to user frustration, abandonment rates, and ultimately business losses.

A marketing company deploys an AI chatbot on its website to answer customer inquiries in real-time. A latency exceeding 500 milliseconds in the chatbot's response generation would noticeably slow down the interaction. This would negatively impact the user experience, lead to frustration, and reduce the chatbot's effectiveness as a customer service tool, as quick, responsive communication is expected.

Latency has become an established concept in the field of Technology. With the rise of modern AI systems, the broad availability of large language models such as GPT-5 and Claude 4.6, and the growing data-orientation in marketing, Latency has gained significant traction since 2023. Today, organisations across DACH and globally rely on Latency to scale marketing operations, accelerate decision-making, and build a competitive edge through automated, data-driven workflows.