pacing

/ˈpeɪsɪŋ/
Englishmovementbehaviorstorytellingtempo+1 til

Definisjon

Handlingen eller prosessen med å gå frem og tilbake på et lite område, ofte på grunn av angst eller dyp tanke; også hastigheten eller tempoet noe skjer med, spesielt i historiefortelling eller fremføring.

Synonymer6

walkingstridetempospeedrhythmcadence

Antonymer4

stillnessimmobilitystagnationslowness

Eksempler på bruk1

1

She was pacing nervously in the waiting room; The pacing of the movie was too slow for some viewers; Good pacing in a novel keeps readers engaged.

Etymologi og opprinnelse

Derived from the verb 'pace' (late Middle English), which comes from Old French 'pas', meaning 'step', ultimately from Latin 'passus' meaning 'step' or 'pace'. The suffix '-ing' forms a noun indicating the action or process.

Relasjonsmatrise

Utforsk forbindelser og sammenhenger

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a/b-test

In digital marketing and business strategy, pacing refers to the controlled allocation and timing of budget spend or campaign delivery to optimize performance over a defined period. A/B testing, which involves comparing two or more variants of a marketing element (such as ad creatives, landing pages, or email subject lines), requires careful pacing to ensure that each variant receives sufficient exposure and statistical power for reliable results. Specifically, pacing influences how traffic or impressions are distributed over time, which directly impacts the sample size and timing of data collection in an A/B test. If pacing is too aggressive or uneven, it can cause premature conclusions due to insufficient data or temporal biases (e.g., time-of-day effects). Conversely, well-managed pacing ensures balanced and consistent exposure across test variants, enabling accurate measurement of performance differences. Additionally, pacing adjustments can be informed by interim A/B test results to dynamically allocate budget toward higher-performing variants, thereby integrating experimentation with campaign optimization. Thus, pacing and A/B testing are practically intertwined: pacing controls the delivery cadence that enables statistically valid A/B tests, and A/B test insights can guide pacing decisions to maximize ROI.

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Ad format

Ad format directly influences pacing strategies in marketing campaigns because different formats have varying delivery constraints, audience engagement patterns, and cost structures that dictate how quickly and evenly ads should be served. For example, video ads often require slower pacing to avoid audience fatigue and to optimize completion rates, whereas display banner ads can be paced more aggressively due to their lower engagement intensity and cost per impression. Additionally, certain ad formats like native ads or sponsored content may benefit from a steady, prolonged pacing to build trust and brand affinity over time, while flash sale or limited-time offer ads in formats such as social media stories demand rapid pacing to capitalize on urgency. Therefore, marketers must tailor pacing algorithms and budget allocation dynamically based on the ad format to maximize ROI, prevent oversaturation, and maintain optimal frequency capping. This interplay ensures that the chosen ad format's characteristics are matched with an appropriate delivery speed and volume, enhancing campaign effectiveness and user experience.

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Account executive

In marketing and digital strategy, an Account Executive (AE) is responsible for managing client relationships and ensuring that campaign deliverables align with client goals and timelines. Pacing refers to the strategic allocation and timing of budget spend and campaign activities over a set period to optimize performance and meet KPIs. The AE actively monitors pacing metrics to ensure that the campaign budget is being spent neither too quickly nor too slowly, which could lead to underperformance or missed opportunities. By analyzing pacing data, the AE can provide timely feedback to internal teams (such as media buyers or digital strategists) to adjust bids, targeting, or creative rotations. This dynamic management ensures that campaigns maintain steady progress toward goals, avoid budget exhaustion early in the cycle, and maximize ROI. Therefore, pacing is a critical operational lever that the Account Executive uses to maintain control over campaign execution and client satisfaction throughout the campaign lifecycle.

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Ad creative

In digital marketing campaigns, "Ad creative" refers to the actual content and design of advertisements, including visuals, copy, and calls-to-action, while "pacing" controls the rate at which the ad budget is spent over a campaign's duration. The relationship between these two lies in how pacing influences the deployment and performance optimization of ad creatives. Specifically, pacing strategies determine how quickly or slowly an ad creative is exposed to the target audience, which affects data collection speed and the ability to evaluate creative effectiveness. For example, if pacing is too aggressive, an ad creative might exhaust its budget before sufficient performance data is gathered, leading to premature conclusions about its effectiveness. Conversely, slower pacing allows marketers to collect more reliable performance signals on the creative, enabling iterative improvements or timely creative rotations. Additionally, pacing adjustments can be used to strategically increase exposure of high-performing creatives or reduce spend on underperforming ones, directly linking creative management with budget flow control. Thus, pacing acts as a lever to optimize the deployment and testing lifecycle of ad creatives, ensuring that creative assets are delivered at a rate that maximizes learning and ROI throughout the campaign lifecycle.

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Ad creative testing

Ad creative testing and pacing are closely intertwined in digital marketing campaigns because pacing directly influences the timing and volume of ad impressions, which in turn affects the reliability and speed of insights gained from creative tests. Specifically, pacing controls how quickly the ad budget is spent and how evenly impressions are distributed over the campaign duration. When pacing is too slow, ad creative tests may take longer to reach statistically significant results, delaying optimization decisions. Conversely, overly aggressive pacing can exhaust budgets before enough data is collected across different creatives, leading to premature conclusions or suboptimal creative selection. Therefore, marketers must strategically align pacing settings with the testing cadence to ensure that each creative variation receives sufficient exposure within the desired timeframe. This synchronization enables faster iteration cycles, more accurate performance comparisons, and ultimately more efficient allocation of budget toward the best-performing creatives. In practice, adjusting pacing allows marketers to balance the need for rapid learning with the risk of data noise, making pacing a critical lever in executing effective ad creative testing within digital campaigns.

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

is used for managing inventory pacing

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a/b-testing

In digital marketing and business strategy, pacing refers to the controlled allocation and timing of budget spend or campaign delivery over a set period to optimize performance and avoid overspending too quickly. A/B testing, which involves comparing two or more variants to identify the most effective option, relies heavily on pacing to ensure that each variant receives sufficient and balanced exposure over time to generate statistically valid results. Without proper pacing, one variant might exhaust the budget prematurely or receive disproportionate impressions, leading to biased or inconclusive test outcomes. Conversely, pacing strategies can be informed and refined based on insights gained from A/B testing—by identifying which variants perform better at different times or audience segments, marketers can adjust pacing dynamically to maximize ROI. Therefore, pacing acts as a critical operational mechanism that enables A/B testing to be executed effectively in live campaigns, while A/B testing provides data-driven feedback to optimize pacing decisions.

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Account based marketing (ABM)

Account Based Marketing (ABM) focuses on targeting high-value accounts with personalized campaigns, requiring precise allocation of marketing resources and timing to maximize engagement and conversion. Pacing in this context refers to the strategic timing and distribution of marketing activities and budget spend across the ABM campaign lifecycle to maintain consistent engagement without overwhelming the target accounts or exhausting resources prematurely. Effective pacing ensures that touchpoints are delivered at optimal intervals aligned with the buying cycle and account readiness signals, enabling marketers to nurture relationships progressively and adapt to account feedback or changing priorities. Without deliberate pacing, ABM efforts risk front-loading communications that can lead to fatigue or under-delivering later when decision momentum builds. Thus, pacing operationalizes the cadence and resource deployment in ABM, directly influencing campaign effectiveness and ROI by balancing intensity and sustainability of engagement over time.

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Ad copy

In marketing and digital strategy, "ad copy" and "pacing" are tightly linked through the timing and delivery of messaging to optimize campaign performance. Ad copy—the specific language, tone, and call-to-action used in advertisements—must be crafted not only to resonate with the target audience but also to align with the pacing strategy, which controls the rate and timing at which ads are served and budget is spent over the campaign duration. Effective pacing ensures that the ad copy is delivered at moments when the audience is most receptive, preventing early exhaustion of budget or audience fatigue. Conversely, the nature of the ad copy influences pacing decisions: for example, a highly persuasive or time-sensitive message might require accelerated pacing to capitalize on urgency, while awareness-focused copy might benefit from a slower, steady pacing to build familiarity over time. This interplay means marketers must iteratively adjust ad copy based on pacing data (such as engagement rates and conversion timing) and adjust pacing based on the performance of different copy variations, ensuring optimal reach, frequency, and impact throughout the campaign lifecycle.

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Ad monitoring software

Ad monitoring software tracks the delivery and performance metrics of digital advertising campaigns in real-time, providing granular data on impressions, clicks, spend, and pacing against campaign goals. Pacing refers to the controlled distribution of ad budget and impressions over a specified timeframe to avoid overspending too quickly or under-delivering against targets. The relationship is practical and operational: ad monitoring software enables marketers to observe pacing metrics continuously, detect deviations from the planned spend rate or impression delivery, and make timely adjustments to bids, budgets, or targeting parameters. Without ad monitoring software, pacing decisions would rely on delayed or aggregated reports, increasing the risk of inefficient budget use or missed campaign objectives. Thus, ad monitoring software acts as the feedback mechanism that informs and enforces pacing strategies, ensuring campaigns run smoothly and meet their intended delivery schedules and ROI goals.

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