Frequency

Towards O(1) Computing: Data-Centric High-Frequency Processing

A technical post by Roberto Aleman outlines principles for achieving extreme runtime efficiency in data systems by minimizing system entropy and striving for constant-time (O(1)) data access. The author advocates hardware-aware data structures (cache- and SIMD-friendly), columnar and sparse indexing, and pushing minimal logic to data sources via autonomous lightweight containers (logic-to-data) to avoid moving large volumes across the network. Additional recommendations include using static/native binaries for low memory footprint, supporting edge processing, adopting lock-free concurrent data structures, and relying on pure asynchronous I/O to maximize CPU utilization for high-frequency, low-latency workloads.

Revolutionizing Frequency Management: Beyond Ad IDs

Frequency capping has relied on static rules, but this piece argues for performance-based frequency using total exposure modeling that accounts for cross-channel journeys and even contexts without ad IDs. The approach aims to unify measurements across digital, streaming, and linear TV, predicting probable exposures based on aggregated behavior and using frequency as a bidding input to optimize reach and reduce ad fatigue. A key example is Amazon Ads, where an internal test compared a control group with no target frequency to groups using optimal frequency settings. The control CPC was $0.775, while the optimized group achieved $0.656, a 15% reduction, suggesting more efficient spend. The study found two exposures per user as optimal, with efficiency dropping at lower or higher frequencies. Reported outcomes include roughly $52,000 reinvested and 17.6 million impressions saved annually. The piece concludes that advanced exposure modeling requires cross-channel signal access beyond ad IDs and highlights the evolving landscape of frequency management.

YouGov Study: Americans’ Streaming Frequency Varies by Platform

YouGov published a consumer-research report on April 10, 2025, examining how Americans use paid streaming subscriptions (Amazon Prime Video, Disney+, Hulu, Netflix). The study finds high overall streaming popularity but clear differences by platform and age. Hulu records the highest daily usage (39%), while Amazon Prime Video is most commonly watched on a weekly cadence (24%). Younger adults (25–34) show heavier, repeat viewing: 20% report multiple daily Disney+ sessions, and within the same age group 26% stream Netflix several times a day and another 21% once a day. The report highlights distinct roles for each service in viewers’ routines and contrasts younger viewers’ short, repeated sessions with older viewers’ more episodic, weekly viewing patterns.