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About Marketing Analyst

Marketing Analyst is a and established role focused on translating data into actionable marketing decisions. This trend reflects the growing emphasis on data driven marketing, advanced attribution, and the use of analytics platforms to optimize campaigns, customer journeys, and ROI.

Trend Decomposition

Trend Decomposition

Trigger: Increased availability of first party data and advanced analytics tools enabled precise measurement of marketing impact.

Behavior change: Marketers increasingly rely on data dashboards, experimentation, and attribution models rather than intuition alone.

Enabler: Accessible analytics platforms, AI driven insights, and cloud based data integration reduced the effort and cost of marketing analytics.

Constraint removed: Silos between marketing, data science, and IT diminished, enabling cross functional analytics work.

PESTLE Analysis

PESTLE Analysis

Political: Data governance and privacy regulations shape how data is collected, stored, and used in marketing analytics.

Economic: Demand for measurable ROI and efficient customer acquisition increases investment in analytics roles and tools.

Social: Consumers expect personalized experiences; marketers leverage analytics to tailor messaging and timing.

Technological: Growth of AI, machine learning, real time analytics, and attribution modeling fuels capabilities for marketing analysts.

Legal: Compliance with data protection laws (e.g., consent, ownership, and usage of data) governs analytics practices.

Environmental: Sustainable and responsible marketing requires analytics to assess environmental impact of campaigns and products.

Jobs to be done framework

Jobs to be done framework

What problem does this trend help solve?

It helps marketers quantify the effect of campaigns and optimize spend and messaging.

What workaround existed before?

Vague intuition, manual reporting, and limited cross channel attribution.

What outcome matters most?

Certainty in ROI, speed of insights, and optimized cost per acquisition.

Consumer Trend canvas

Consumer Trend canvas

Basic Need: Effective allocation of marketing resources based on data driven insights.

Drivers of Change: Data availability, cloud analytics, AI assisted insights, and cross channel measurement.

Emerging Consumer Needs: Personalization at scale and relevant, timely messaging.

New Consumer Expectations: Transparent data use and respectful, value driven marketing.

Inspirations / Signals: rising demand for measurable marketing impact and customer journey transparency.

Innovations Emerging: Automated attribution models, real time dashboards, and privacy preserving analytics.

Companies to watch

Associated Companies
  • Google - Offers Google Analytics, Ads, and Marketing Platform for data driven marketing analytics and attribution.
  • Adobe - Adobe Marketing Cloud provides analytics, attribution, and personalization capabilities.
  • Salesforce - Marketing Cloud with analytics and customer journey insights for data informed campaigns.
  • Tableau (Salesforce) - Data viz and analytics platform used to analyze marketing data and share insights.
  • IBM - IBM Analytics and Watson capabilities for marketing analytics and predictive insights.
  • SAS - Advanced analytics platform used for marketing analysis, attribution, and optimization.
  • Oracle - Oracle Marketing Cloud with analytics, audience segmentation, and attribution tools.
  • NielsenIQ - Market research and analytics provider offering marketing effectiveness measurement.
  • Experian - Marketing services with analytics for audience data, insights, and activation.
  • Oracle Data Cloud - Data enrichment and analytics platform for marketing attribution and targeting.