Optimizing Time-to-First-Ad in Mobile Advertising Systems

Authors

  • Rishi Kanth Alapati

DOI:

https://doi.org/10.22399/ijcesen.4924

Keywords:

Ad Latency Optimization, Progressive Delivery, Edge Computing, Predictive Prefetching, Performance Observability

Abstract

The article on Time-to-First-Ad (TTFA) optimization in mobile advertising platforms emphasizes how the speed of delivery of an advertisement is vital to the success of a business in the competitive online market. The article discusses the technical strategies that are multifaceted and are used by the current platforms to ensure that latency is minimized when a cold start situation is experienced, where system resources are the most limited. The article provides a comprehensive discussion of the progressive delivery mechanism, predictive prefetching techniques, edge computing systems, and systematic latency budgeting habits through the analysis of which the latest generations of leading platforms have remodeled their delivery architecture to attain significant performance gains. The discourse is not restricted to the technical implementations, but also includes the organizational aspects of the matter, such as dedicated performance engineering teams and advanced observability systems that allow ongoing optimization. The article shows a positive relationship between TTFA improvements in user engagement metrics, more impression volume, and higher revenue generation capabilities. With the advertising technology industry still moving forward, the article puts latency optimization as a strategic necessity as opposed to a technical one, and the effect of its application cuts across the entire advertising ecosystem, between publishers and final consumers.

References

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Published

2026-02-15

How to Cite

Rishi Kanth Alapati. (2026). Optimizing Time-to-First-Ad in Mobile Advertising Systems. International Journal of Computational and Experimental Science and Engineering, 12(1). https://doi.org/10.22399/ijcesen.4924

Issue

Section

Research Article