View more options for this course
Career Advancement Programme in E-commerce Ad Metrics
-- viewing now5,007+
Students enrolled
7-Day Money-Back Guarantee
Enroll with confidence
Secure Checkout
256-bit encrypted payment
Lifetime Access
Learn at your own pace
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
- E-commerce Advertising Fundamentals: Campaign Structures & Budgeting
- Mastering Google Ads for E-commerce: Search, Shopping & Display Campaigns
- Facebook & Instagram Ads for E-commerce: Reaching Your Target Audience
- E-commerce Ad Metrics Analysis: ROAS, CPA, Conversion Rate Optimization
- Advanced E-commerce Attribution Modeling: Understanding Customer Journeys
- A/B Testing & Ad Creative Optimization for E-commerce
- Data Studio & Reporting for E-commerce Ad Performance
- E-commerce Retargeting Strategies & Remarketing Campaigns
Career Path
E-commerce Ad Metrics Career Roles (UK) Description PPC Specialist - Paid Search Marketing Manage and optimize paid search campaigns across major platforms, maximizing ROI through keyword research, bid management, and A/B testing.
Requires strong analytical skills and proficiency in Google Ads.
SEM Manager - Search Engine Marketing Develop and execute comprehensive SEM strategies, overseeing both paid and organic search efforts.
Requires expertise in SEO, PPC, and analytics, with a focus on driving organic traffic and improving search rankings.
E-commerce Analyst - Data Analysis & Reporting Analyze key performance indicators (KPIs) to identify trends and opportunities for improvement in e-commerce campaigns.
Requires strong data analysis skills using tools like Google Analytics and experience with reporting dashboards.
Digital Marketing Manager - Campaign Management & Strategy Lead and manage the overall digital marketing strategy, including e-commerce advertising.
Oversees budgets, campaign performance, and team members, requiring both strategic thinking and strong leadership abilities.
Data Scientist - Advanced Analytics & Modelling Develop predictive models to improve campaign performance and customer experience using advanced statistical methods.
Requires strong programming skills (e.g., Python, R), statistical modeling expertise, and experience with large datasets.
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.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate