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Draft Measurable Marketing Goals with AI · LearnSpace
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Draft Measurable Marketing Goals with AI

Курс от Coursera
Начальный≈ 3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Did you know that organizations setting SMART goals are 12% more effective at achieving their targets than those without structured goal frameworks? Yet many marketing professionals struggle to translate creative vision into measurable objectives that prove ROI and secure stakeholder buy-in. This Short Course was created to help Digital Marketing professionals accomplish the critical skill of drafting complete, measurable marketing goals using SMART criteria that include specific targets, quantifiable metrics, realistic baselines, strategic alignment, and clear timeframes for supervisor approval and campaign tracking. By completing this course you'll be able to transform vague aspirations like "increase engagement" into powerful goal statements such as "Increase newsletter sign-ups by 15% in 90 days"—objectives you can confidently present to supervisors, track with precision, and use to demonstrate your marketing impact. You'll master the five-step SMART framework used by leading companies like HubSpot, McDonald's, and Google to drive measurable results and justify marketing investments. By the end of this course, you will be able to: - Apply SMART criteria to transform vague marketing aspirations into specific, measurable objectives with clear success metrics - Formulate goal statements that include quantifiable targets, realistic baselines, strategic alignment, and defined timeframes - Evaluate draft marketing goals against SMART criteria to ensure they meet professional standards for clarity and measurability This course is unique because it bridges the gap between marketing creativity and business accountability, teaching you a universal language for goal-setting that works across all campaign types, platforms, and organizational contexts. You'll practice with realistic scenarios that mirror actual workplace tasks—from social media campaigns to email marketing to content strategy—ensuring you can apply these skills immediately. To be successful in this project, you should have a background in basic marketing concepts, familiarity with digital campaigns, understanding of metrics terminology, and access to marketing analytics tools.

Навыки, которые вы освоите

Smart GoalsAccountabilityMarketing PlanningCampaign PlanningMarketing EffectivenessGoal SettingData-Driven MarketingKey Performance Indicators (KPIs)Performance MeasurementMarketing StrategiesWeb Analytics

Программа курса

3 модулей · 22 учебных материалов

01Module 1: Drafting Measurable Marketing Goals Using SMART Criteria7 материалов
When High Accuracy Isn't Enough: The Production Reality CheckВидеоThe SMART Framework: From Vague Aspirations to Measurable ObjectivesВидеоCrafting Goal Statements: Metrics, Baselines, and Strategic Alignment ЧтениеDrafting SMART Marketing Goals: Complete Workflow DemonstrationВидео

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Professionals in the Industry

Преподаватель курса

Draft Measurable Marketing Goals with AI
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 3 ч

3 модулей

Язык: Английский

Субтитры: Дари, Пушту

Часть программы вашего университета
Refining Your Marketing Goals with AI CoachingDIALOGUE
Draft SMART Goals for Three Marketing ScenariosЗадание
Evaluate Marketing Goals Against SMART CriteriaЗадание
02Module 2: Statistical Significance Testing for Algorithms7 материалов
The Million-Dollar A/B Test That Almost Went Wrong ВидеоHypothesis Testing Fundamentals: From Null Hypotheses to P-ValuesВидеоStatistical Tests for Algorithm Comparison: Methods and Implementation ЧтениеConducting Statistical Significance Tests: Complete Python WorkflowВидеоInterpreting Significance Tests for Production DecisionsDIALOGUEValidate Algorithm A/B Test Results with Statistical RigorЗаданиеStatistical Significance Testing Knowledge ValidationЗадание
03Module 3: Ensemble Model Creation8 материалов
How Netflix Serves 230 Million Users with Ensemble IntelligenceВидеоThree Paths to Ensemble Intelligence: Bagging, Boosting, and StackingВидеоBuilding Production Ensemble Models: Architecture and Implementation StrategiesЧтениеBuilding a Complete Stacking Ensemble: Step-by-Step ImplementationВидеоEnsemble Architecture Decisions for Your Production ContextDIALOGUEBuild Complete Ensemble for Credit Risk Assessment ЗаданиеEnsemble Methods Knowledge ValidationЗаданиеSMART Goals and Statistical Testing in Data Science ApplicationsЗадание