avg. time on page

/ˈævərɪdʒ taɪm ɒn peɪdʒ/
Englishweb analyticsdigital marketinguser engagementwebsite metrics+1 til

Definisjon

Gjennomsnittlig tid brukere bruker på å se en enkelt nettside i løpet av en økt.

Synonymer3

average dwell timeaverage session durationpage engagement time

Antonymer2

bounce rateexit rate

Eksempler på bruk1

1

The avg. time on page increased after the website redesign; Marketers use avg. time on page to assess content effectiveness; A low avg. time on page may indicate unengaging content.

Etymologi og opprinnelse

The phrase combines 'avg.' as an abbreviation of 'average', derived from Old French 'avere' meaning 'to have', with 'time' from Old English 'tīma' meaning 'a limited space of time', and 'on page' referring to the specific webpage being viewed. The term emerged with the rise of web analytics to quantify user engagement on websites.

Relasjonsmatrise

Utforsk forbindelser og sammenhenger

"ABC-Analyse (Strategic Method of Inventory Management)"

The ABC-Analyse, traditionally a strategic inventory management method classifying items by their value and turnover rate, can be adapted in marketing and digital strategy to prioritize content or customer segments based on their impact or engagement metrics, such as average time on page. By categorizing web pages or content assets into A, B, and C groups according to their average time on page (a proxy for user engagement and content value), marketers can allocate resources more effectively—focusing optimization efforts, promotional budgets, or personalization strategies on 'A' content that retains users longest and drives conversions. Conversely, low average time on page content (C items) might be candidates for revision or removal. This application of ABC-Analyse helps in strategic content inventory management, ensuring that digital assets with the highest engagement receive prioritized attention, thereby improving overall marketing ROI and user experience. The WHY is that average time on page quantifies user engagement, which is critical for identifying high-value digital assets; the HOW is by using ABC-Analyse to segment and manage these assets systematically for strategic decision-making.

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