timeonsite
Definisjon
Mengden tid en bruker aktivt tilbringer på et bestemt nettsted eller nettside under ett enkelt besøk.
Synonymer3
Antonymer2
Eksempler på bruk1
The marketing team analyzed the timeonsite to understand user engagement; Increasing timeonsite is often a goal for content creators; A higher timeonsite generally indicates better user interest.
Etymologi og opprinnelse
A compound noun formed from the words 'time', referring to a measurable period, and 'on site', indicating presence at a specific location, originally used in web analytics to quantify user engagement duration on a website.
Relasjonsmatrise
Utforsk forbindelser og sammenhenger
Account based marketing (ABM)
Account Based Marketing (ABM) targets specific high-value accounts with personalized campaigns designed to engage key stakeholders within those accounts. Time on site (timeonsite) is a critical behavioral metric that reflects the depth of engagement a visitor has with the website content. In the context of ABM, monitoring and optimizing timeonsite for targeted accounts provides actionable insights into how effectively the personalized content and messaging resonate with decision-makers. For example, longer timeonsite by users from target accounts can indicate successful content alignment and engagement, signaling readiness for sales outreach or further nurturing. Conversely, low timeonsite may prompt marketers to refine content relevance or user experience for those accounts. Additionally, integrating timeonsite data into ABM platforms enables dynamic personalization and prioritization of accounts based on engagement levels, improving resource allocation and campaign effectiveness. Thus, timeonsite acts as a real-time engagement signal that informs and enhances ABM strategies by providing measurable feedback on account-level content interaction.
Annonsegruppe
Annonsegruppe is a category or grouping used to analyze or segment timeonsite data
ad exchange
An ad exchange is a digital marketplace where publishers sell ad inventory programmatically to advertisers in real-time auctions. Time on site (timeonsite) measures how long a user spends on a website during a single session, serving as a key engagement metric. The relationship between ad exchanges and time on site is practical and actionable in optimizing digital advertising strategies. Advertisers buying inventory through ad exchanges often rely on time on site data to evaluate the quality of traffic sources and the effectiveness of their ads. For example, if programmatic campaigns sourced via an ad exchange drive users who exhibit higher time on site, it indicates better engagement and potentially higher conversion likelihood, justifying higher bids for that inventory. Conversely, publishers can use time on site metrics to segment their inventory in the ad exchange, offering premium placements associated with higher user engagement to attract advertisers willing to pay more for quality impressions. Additionally, real-time bidding algorithms can incorporate time on site data as a signal to optimize ad delivery toward audiences that historically engage longer, improving ROI. Thus, time on site acts as a feedback loop metric that informs bidding strategies and inventory valuation within ad exchanges, making the relationship integral to maximizing advertising efficiency and user engagement.
Ad placement
Ad placement directly influences the quality and relevance of the audience exposed to the advertisement, which in turn affects user engagement metrics such as time on site. Specifically, placing ads on platforms, websites, or within content environments that align closely with the target audience’s interests and intent increases the likelihood that users will click through and remain engaged once on the landing page. For example, an ad placed on a niche industry blog or a relevant social media group attracts visitors who are already interested in the product or service, leading to longer time spent exploring the site. Conversely, poor ad placement—such as irrelevant or low-quality sites—may generate clicks from less interested users who quickly leave, reducing time on site and increasing bounce rates. Therefore, optimizing ad placement is a strategic lever to improve the quality of traffic, which manifests as increased time on site, signaling higher engagement and better potential for conversion. Marketers can use this relationship to refine targeting and media buying decisions, ensuring that ad spend drives not just clicks but meaningful user interaction with the brand’s digital assets.
"ABC-Analyse (Strategic Method of Inventory Management)"
are unrelated concepts in different domains
a/b-test
A/B testing in marketing and digital strategy is a method used to compare two or more variations of a webpage, ad, or user experience to determine which performs better against specific metrics. 'Time on site' is a critical behavioral metric that measures how long a visitor stays on a website during a session. The relationship between A/B testing and time on site is practical and actionable because time on site often serves as a key performance indicator (KPI) or success metric within an A/B test. For example, when testing different webpage designs, content layouts, or call-to-action placements, marketers analyze how these variations impact user engagement, with time on site reflecting the depth of user interest and interaction. A longer time on site can indicate that the tested variation is more engaging or easier to navigate, which can correlate with higher conversion potential. Conversely, if a variation reduces time on site, it may suggest usability issues or less compelling content. Therefore, by systematically measuring time on site across test variants, marketers gain quantitative insights into user behavior that inform decisions to optimize digital experiences, improve retention, and ultimately drive business goals. This connection is actionable because time on site directly informs which version of a test better holds user attention, enabling data-driven optimization of marketing assets and digital strategies.
Account executive
An Account Executive (AE) in marketing and business acts as the primary liaison between clients and the internal teams responsible for campaign execution, including digital strategy. One key metric that AEs monitor and influence is 'time on site,' which measures how long visitors stay on a client's website. The AE uses insights from time on site data to evaluate the effectiveness of digital campaigns, user engagement, and content relevance. For example, if time on site is low, the AE can coordinate with digital strategists and content creators to adjust messaging, calls-to-action, or user experience to increase engagement. This metric also helps the AE justify campaign adjustments or upsell opportunities by demonstrating where user attention is strong or weak. Thus, the AE leverages time on site as a concrete, actionable data point to optimize client outcomes, improve retention, and drive revenue growth through informed strategic recommendations.
Ad creative
Ad creative directly influences 'time on site' by shaping the initial user engagement and expectations before a visitor lands on the website. Specifically, well-designed ad creatives that clearly communicate value propositions, evoke curiosity, or set accurate expectations tend to attract more qualified traffic, which results in visitors spending more time exploring the site. Conversely, misleading or generic ad creatives can cause users to bounce quickly, reducing time on site. From a digital strategy perspective, analyzing how different ad creatives impact 'time on site' allows marketers to optimize their messaging and creative elements to improve user engagement metrics, which often correlate with higher conversion rates. Practically, marketers can run A/B tests on ad creatives, then measure the resulting time on site to identify which creative elements (such as imagery, copy tone, call-to-action style) encourage deeper site interaction, thereby refining both creative development and targeting strategies.
Ad copy
Ad copy directly influences the initial engagement and expectations of a visitor, which in turn affects the 'time on site' metric. Specifically, well-crafted ad copy that clearly communicates value propositions, aligns with user intent, and sets accurate expectations encourages visitors to stay longer on the landing page or website. This extended 'time on site' can indicate higher user interest and engagement, which is critical for conversions and quality scoring in digital marketing campaigns. Conversely, misleading or generic ad copy may attract clicks but result in short visits, increasing bounce rates and reducing overall campaign effectiveness. Therefore, optimizing ad copy for relevance and clarity is a practical lever marketers use to improve 'time on site,' which serves as a behavioral signal for content quality and user satisfaction in digital strategy.
Ad monitoring software
Ad monitoring software tracks the performance and placement of digital advertisements across various channels, providing granular data on impressions, clicks, and user engagement. Timeonsite measures how long users stay on a website after clicking an ad or arriving through other channels. By integrating ad monitoring software with timeonsite metrics, marketers can evaluate not just whether an ad drives traffic, but the quality of that traffic in terms of user engagement and content consumption. This relationship enables marketers to identify which ads generate visitors who spend meaningful time on the site, signaling higher intent or interest, and to optimize ad creatives, targeting, and bidding strategies accordingly. For example, if an ad drives high click volume but results in low timeonsite, the campaign might be attracting uninterested users or misleading messaging, prompting adjustments. Conversely, ads linked to longer timeonsite can be prioritized or scaled. Thus, timeonsite acts as a critical engagement metric that complements ad monitoring data to provide a fuller picture of ad effectiveness and ROI, informing digital strategy decisions such as budget allocation, audience segmentation, and creative testing.
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