programmatisk
Definisjon
Som henviser til eller er preget av en systematisk, strategisk og metodisk fremgangsmåte, mest merkbart innen felt som data-programmering, offentlig politikkformasjon eller kunstnerisk skaping. Begrepet antyder en grundig og nøye planleggingsprosess som sikter mot konsistens og sammenheng.
Synonymer6
Antonymer6
Eksempler på bruk1
The committee adopted a programmatic strategy towards policy reform, ensuring every step was meticulously planned; The composer's programmatic style was evident in his music compositions, revealing a careful and strategic planning process; The software development project was executed with a programmatic methodology, ensuring consistency and quality.
Etymologi og opprinnelse
The adjective 'programmatic' is derived from the Norwegian term 'programmatisk', which can be traced back to the Greek word 'programma' denoting 'a written public announcement' or 'an outlined plan'. The suffix '-isk' was then appended, implying 'pertaining to'. The term was incorporated into the Norwegian language influenced by Latin and French linguistic patterns, signifying something associated with a pre-planned program or strategic scheme.
Relasjonsmatrise
Utforsk forbindelser og sammenhenger
"ABC-Analyse (Strategic Method of Inventory Management)"
can be implemented in a programmatic manner
Account executive
An Account Executive (AE) in marketing and digital strategy acts as the primary liaison between clients and the internal teams managing campaigns, including programmatic advertising efforts. Programmatic advertising involves automated, data-driven buying and optimization of digital ad inventory in real time. The AE’s role is to translate client goals into actionable programmatic strategies by briefing media buyers and data analysts on target audiences, budget constraints, and performance KPIs. They monitor campaign progress and interpret programmatic reporting to provide clients with clear insights and recommendations. This relationship is critical because programmatic campaigns require continuous optimization based on data signals, and the AE ensures that these technical adjustments align with client expectations and business objectives. Without the AE’s client-facing coordination and strategic oversight, programmatic efforts risk becoming siloed or misaligned with broader marketing goals. Conversely, programmatic capabilities empower the AE to deliver highly targeted, scalable, and measurable advertising solutions that enhance client satisfaction and campaign ROI.
Account based marketing (ABM)
Account Based Marketing (ABM) focuses on targeting and engaging specific high-value accounts with highly personalized campaigns, while programmatic advertising automates the buying and placement of digital ads using data-driven audience targeting. The relationship between ABM and programmatic lies in the ability of programmatic platforms to execute ABM strategies at scale and with precision. Specifically, programmatic enables marketers to identify and target the exact companies, decision-makers, and personas defined in an ABM strategy by leveraging IP-based targeting, CRM data integration, and third-party intent data. This allows for delivering tailored ad creative across multiple digital channels (display, video, social) directly to the right stakeholders within target accounts, increasing relevance and engagement. Moreover, programmatic’s real-time bidding and optimization capabilities help continuously refine ABM campaigns based on performance metrics, improving ROI. Therefore, programmatic acts as a critical execution layer that operationalizes ABM’s account-level personalization and targeting objectives in a scalable, automated fashion, bridging strategic account focus with tactical digital media delivery.
ad exchange
In digital marketing, "programmatisk" (programmatic advertising) fundamentally relies on ad exchanges as the technological marketplaces where automated buying and selling of ad inventory occur in real time. Programmatic advertising uses data-driven algorithms to decide which impressions to purchase, and ad exchanges provide the infrastructure that enables these transactions by aggregating supply from multiple publishers and demand from various advertisers or demand-side platforms (DSPs). This relationship is crucial because programmatic strategies depend on the liquidity, transparency, and efficiency of ad exchanges to optimize targeting, bidding, and budget allocation dynamically. Without ad exchanges facilitating real-time auctions and inventory access, programmatic campaigns would lack the scale and immediacy needed to execute precise audience targeting and performance optimization at scale. Thus, ad exchanges operationalize the programmatic buying process, making them indispensable for executing programmatic digital strategies effectively.
Ad copy
In digital marketing, "Ad copy" refers to the textual content crafted to persuade or inform the target audience, while "programmatisk" (programmatic advertising) denotes the automated buying and selling of ad inventory in real-time using data-driven algorithms. The relationship between ad copy and programmatic lies in how programmatic platforms dynamically select and deliver ad copy variations tailored to specific audience segments, contexts, and user behaviors. This means that effective ad copy must be designed with modularity and adaptability in mind to leverage programmatic capabilities fully. For example, programmatic systems can test multiple ad copy versions simultaneously across different demographics or user intents, optimizing for engagement or conversion metrics in real-time. Thus, the WHY is that programmatic advertising’s efficiency and precision depend heavily on having diverse, targeted ad copy that can be algorithmically matched to audience data. The HOW involves integrating ad copy variants into programmatic campaigns, enabling automated optimization engines to select and serve the most relevant messages to maximize ROI. Without well-structured, adaptable ad copy, programmatic campaigns lose much of their potential for personalization and performance optimization.
Ad monitoring software
Ad monitoring software plays a critical role in optimizing programmatic advertising campaigns by providing real-time insights into ad placements, performance metrics, and competitor activity. In programmatic marketing, where automated bidding and real-time ad buying occur across multiple platforms and channels, ad monitoring software enables marketers to verify that their ads are delivered to the intended audiences, appear in brand-safe environments, and meet campaign KPIs. This software helps detect issues such as ad fraud, viewability problems, and non-compliance with targeting parameters, which are common challenges in programmatic ecosystems. By integrating ad monitoring data into programmatic platforms, marketers can adjust bidding strategies, refine audience segments, and improve overall campaign efficiency and ROI. Thus, ad monitoring software acts as a feedback mechanism that informs and enhances the automated decision-making processes inherent in programmatic advertising, ensuring that programmatic spend is both effective and transparent.
Ad creative
In digital marketing, "Ad creative" refers to the actual visual and textual content designed to capture audience attention and drive engagement, while "programmatisk" (programmatic advertising) is the automated process of buying and optimizing ad inventory in real-time using data and algorithms. The relationship between them is that programmatic platforms dynamically select and serve different ad creatives based on audience data, context, and performance metrics to maximize campaign effectiveness. Specifically, programmatic systems rely on a diverse set of ad creatives to perform real-time A/B testing and optimization, enabling marketers to identify which creative elements resonate best with specific audience segments. This means that the quality, variety, and adaptability of ad creatives directly influence the efficiency and ROI of programmatic campaigns. Conversely, programmatic technology informs creative strategy by providing granular performance feedback, allowing marketers to iterate and tailor creatives to audience behavior and preferences. Therefore, ad creative and programmatic advertising form a feedback loop where creative assets fuel programmatic targeting and optimization, and programmatic insights drive creative refinement, making them deeply interdependent in executing data-driven, scalable digital campaigns.
Ad creative testing
Ad creative testing and programmatic advertising are tightly interwoven in digital marketing because programmatic platforms enable rapid, data-driven deployment and optimization of multiple ad creatives at scale. Specifically, programmatic buying uses automated algorithms to purchase ad inventory in real-time and can dynamically serve different creative variations to segmented audiences. This capability allows marketers to implement systematic ad creative testing by rotating multiple versions of ads, measuring performance metrics such as click-through rates or conversions, and then automatically reallocating budget toward the best-performing creatives. The WHY is that without programmatic's automation and real-time bidding infrastructure, testing a large number of creative variants would be slow, costly, and less precise. The HOW is that programmatic platforms provide the environment to run multivariate creative tests efficiently, feeding performance data back into optimization engines that adjust delivery in near real-time, thus accelerating learning cycles and improving campaign ROI. Therefore, ad creative testing is not just facilitated by programmatic but is fundamentally enhanced by its ability to execute and optimize creative variations at scale and speed.
a/b-testing
In digital marketing, "programmatisk" (programmatic advertising) automates the buying and placement of ads using data-driven algorithms to target specific audiences in real-time. A/B-testing complements programmatic by enabling marketers to systematically test variations of ad creatives, messaging, or landing pages within these automated campaigns to optimize performance. Specifically, programmatic platforms can dynamically serve different ad variants to segmented audiences, while A/B-testing measures which variant yields better engagement or conversion metrics. This iterative testing informs the programmatic algorithms to refine targeting and creative decisions, enhancing ROI. Thus, A/B-testing provides the empirical feedback loop that programmatic advertising leverages to continuously improve ad effectiveness and audience targeting precision, making the combination a powerful approach for data-driven digital strategy and business growth.
Growth hacking
Growth hacking can utilize programmatisk (programmatic) advertising as a tool for scalable marketing
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