Marketing performance management

/mɑrˈkɛtɪŋ pərˈfɔrməns mænədʒmənt/
English businessmarketinganalyticsperformance+1 til

Definisjon

En systematisk tilnærming til å analysere og optimalisere ytelsen til markedsføringsaktiviteter og strategier for å oppnå ønskede forretningsresultater.

Synonymer3

Performance evaluationmarketing effectiveness measurementcampaign analysis

Antonymer2

Marketing inefficiencypoor performance

Eksempler på bruk1

1

Marketing performance management is essential for businesses to assess the ROI of their marketing efforts; Effective marketing performance management helps companies allocate resources more efficiently; Implementing marketing performance management systems can lead to better decision-making.

Etymologi og opprinnelse

"Marketing" comes from the Latin "mercatus" meaning "market," while "performance" derives from the Latin "performare," meaning "to accomplish," and "management" comes from the Italian "maneggiare," meaning "to handle."

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'Annonseringsmål' (advertising goals) and 'Marketing performance management' are interconnected as both focus on optimizing campaigns to achieve specific objectives, ensuring that advertising efforts are effectively tracked and evaluated for maximum impact.

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Marketing performance management and Google Ads are intricately linked as both aim to optimize advertising effectiveness and drive measurable results through data-driven strategies and analytics.

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Marketing performance management utilizes data structures like JSON to efficiently store and analyze performance metrics, enabling better insights and decision-making.

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Targeting is the precision arrow that aims towards the bullseye of marketing performance management, ensuring resources are focused for optimal impact and measurable success.

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An Account Executive (AE) in marketing acts as the primary liaison between clients and the internal marketing team, responsible for managing client expectations, communicating campaign goals, and ensuring deliverables align with client objectives. Marketing Performance Management (MPM) involves tracking, analyzing, and optimizing marketing activities to maximize ROI and meet strategic goals. The AE relies on MPM data to provide clients with transparent, data-driven insights about campaign effectiveness, justify budget allocations, and recommend strategic adjustments. Conversely, the AE’s client interactions and feedback help shape which performance metrics are prioritized and how marketing strategies are adapted, ensuring that MPM efforts focus on outcomes that matter most to clients. This cyclical relationship enables more precise targeting, improved campaign optimization, and stronger client trust, as AEs translate complex performance data into actionable business decisions and client communications. In digital strategy, this means the AE uses MPM analytics to guide digital channel investments and tailor messaging, while MPM frameworks incorporate AE-driven client feedback to refine measurement models and strategic focus areas.

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The connection between "marketing performance management" and "bannerannonse" lies in the strategic use of data-driven insights to optimize the effectiveness of digital advertising campaigns, such as banner ads, thereby enhancing their overall performance.

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Marketing performance management (MPM) involves systematically tracking, analyzing, and optimizing marketing activities to maximize ROI and achieve strategic goals. A/B testing directly supports MPM by providing a rigorous, data-driven method to evaluate the effectiveness of specific marketing variables—such as messaging, creative elements, or channel tactics—under controlled conditions. By running A/B tests, marketers generate empirical evidence about what drives better engagement, conversion, or revenue outcomes. These test results feed into the broader performance management framework, enabling marketers to refine campaign strategies based on statistically validated insights rather than assumptions. This iterative process of testing, measuring, and optimizing ensures that marketing efforts are continuously aligned with performance targets, making A/B testing a critical mechanism within MPM to reduce uncertainty, validate hypotheses, and prioritize resource allocation. Without A/B testing, MPM would rely more heavily on observational data or less precise methods, limiting its ability to pinpoint causal drivers of performance improvements.

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