Dayoverday

Dayoverday is a term used in data analytics and time-series analysis to describe the comparison of a current value with the value observed on the previous day. It is commonly represented as day-over-day change or DoD and is used to measure short-term momentum, trend direction, and volatility in metrics such as traffic, sales, or engagement.

Practitioners typically compute day-over-day change as (current − previous) / previous, yielding a percentage that indicates how much a metric grew or declined from one day to the next. It complements longer-span metrics such as week-over-week or month-over-month by highlighting immediate shifts and noise that may warrant closer inspection.

Beyond its analytic meaning, dayoverday can function as a brand name or project title for products, apps, or communities focused on daily progress, habit formation, journaling, or incremental improvement. In such contexts, the term signals an emphasis on consistency and measuring small daily gains.

Etymology: the term is formed from "day" and "over" plus "day," literally describing a comparison across consecutive days. The hyphenated form day-over-day is common in technical writing, while dayoverday appears as a stylistic variant in branding.

See also: day-over-day, week-over-week, month-over-month, trend analysis.