Masterclass Certificate in Performance Metrics for Online Advertising
-- viewing nowPerformance Metrics for Online Advertising Masterclass helps online advertisers measure and optimize their campaigns with the Performance Metrics for Online Advertising course. This course is designed for digital marketers who want to track and analyze their online ad performance.
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About this course
Learn how to set up and use key performance indicators (KPIs) such as click-through rates, conversion rates, and return on ad spend (ROAS) to measure campaign success.
Some of the topics covered include data analysis, attribution modeling, and A/B testing to improve ad performance and maximize ROI.
Take the first step towards data-driven decision making with Performance Metrics for Online Advertising. Explore the course now and start optimizing your online ad campaigns for better results.
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Course details
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Data Quality Assessment: This unit focuses on evaluating the accuracy, completeness, and consistency of online advertising data, including metrics such as click-through rates, conversion rates, and return on ad spend (ROAS). •
Performance Metrics for Online Advertising: This unit covers the essential metrics used to measure the performance of online advertising campaigns, including impressions, clicks, conversions, and cost per acquisition (CPA). •
Return on Ad Spend (ROAS) Analysis: This unit delves into the analysis of ROAS, a key performance metric that measures the revenue generated by an online advertising campaign compared to its cost. •
Conversion Rate Optimization: This unit teaches students how to optimize conversion rates by analyzing and improving the user experience, landing page design, and ad targeting strategies. •
Cost Per Acquisition (CPA) Management: This unit focuses on managing CPA by setting budgets, bidding strategies, and ad targeting to achieve optimal ROI and minimize waste. •
Attribution Modeling for Online Advertising: This unit introduces attribution modeling, a technique used to assign credit to different touchpoints in the customer journey and measure the impact of online advertising on sales. •
Data-Driven Decision Making: This unit emphasizes the importance of data-driven decision making in online advertising, including how to collect, analyze, and act on data to optimize campaign performance. •
Campaign Optimization Techniques: This unit covers various campaign optimization techniques, including A/B testing, retargeting, and lookalike targeting, to improve campaign performance and ROI. •
Performance Metrics for E-commerce Advertising: This unit focuses on performance metrics specific to e-commerce advertising, including metrics such as order value, average order value, and customer lifetime value. •
Advanced Analytics for Online Advertising: This unit introduces advanced analytics techniques, including machine learning and predictive modeling, to analyze and optimize online advertising campaigns.
Data Quality Assessment: This unit focuses on evaluating the accuracy, completeness, and consistency of online advertising data, including metrics such as click-through rates, conversion rates, and return on ad spend (ROAS). •
Performance Metrics for Online Advertising: This unit covers the essential metrics used to measure the performance of online advertising campaigns, including impressions, clicks, conversions, and cost per acquisition (CPA). •
Return on Ad Spend (ROAS) Analysis: This unit delves into the analysis of ROAS, a key performance metric that measures the revenue generated by an online advertising campaign compared to its cost. •
Conversion Rate Optimization: This unit teaches students how to optimize conversion rates by analyzing and improving the user experience, landing page design, and ad targeting strategies. •
Cost Per Acquisition (CPA) Management: This unit focuses on managing CPA by setting budgets, bidding strategies, and ad targeting to achieve optimal ROI and minimize waste. •
Attribution Modeling for Online Advertising: This unit introduces attribution modeling, a technique used to assign credit to different touchpoints in the customer journey and measure the impact of online advertising on sales. •
Data-Driven Decision Making: This unit emphasizes the importance of data-driven decision making in online advertising, including how to collect, analyze, and act on data to optimize campaign performance. •
Campaign Optimization Techniques: This unit covers various campaign optimization techniques, including A/B testing, retargeting, and lookalike targeting, to improve campaign performance and ROI. •
Performance Metrics for E-commerce Advertising: This unit focuses on performance metrics specific to e-commerce advertising, including metrics such as order value, average order value, and customer lifetime value. •
Advanced Analytics for Online Advertising: This unit introduces advanced analytics techniques, including machine learning and predictive modeling, to analyze and optimize online advertising campaigns.
Career path
| **Career Role** | Primary Keywords | Secondary Keywords | Description |
|---|---|---|---|
| Digital Marketing Manager | digital marketing, online advertising | marketing strategy, campaign management | Oversees digital marketing campaigns, manages budgets, and analyzes performance metrics. |
| SEO Specialist | search engine optimization, online marketing | keyword research, content optimization | Optimizes website content for search engines, conducts keyword research, and analyzes website analytics. |
| Pay-Per-Click (PPC) Specialist | pay-per-click, online advertising | ad copywriting, campaign optimization | Creates and manages PPC campaigns, writes ad copy, and analyzes campaign performance metrics. |
| Data Analyst (Digital Marketing) | data analysis, digital marketing | statistical modeling, data visualization | Analyzes digital marketing data, creates statistical models, and visualizes data to inform marketing strategies. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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MASTERCLASS CERTIFICATE IN PERFORMANCE METRICS FOR ONLINE ADVERTISING
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Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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