Masterclass Certificate in Data-Driven Paid Advertising
-- viewing nowMasterclass Certificate in Data-Driven Paid Advertising Unlock the power of data-driven paid advertising with this comprehensive course, designed for digital marketers and advertisers. Learn how to analyze and optimize your ad campaigns using data, increasing your return on investment and driving real results.
5,917+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Data-Driven Paid Advertising is the key to success in today's competitive digital landscape. With this course, you'll gain the skills and knowledge to make informed decisions and stay ahead of the curve.
Discover how to:
Set up and track your ad campaigns
Analyze and optimize your ad performance
Make data-driven decisions to drive real results
Join the Masterclass community and start achieving your goals today!
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
•
Data-Driven Decision Making: This unit focuses on teaching students how to use data to inform their paid advertising strategies, making data-driven decisions that drive real results. •
Google Analytics Fundamentals: In this unit, students learn the basics of Google Analytics, including tracking conversions, understanding user behavior, and measuring campaign performance. •
Ad Targeting Strategies: This unit covers the different ad targeting strategies available, including demographic targeting, interest targeting, and lookalike targeting, helping students to create targeted campaigns that reach the right audience. •
Data-Driven Ad Creative: Students learn how to use data to inform their ad creative, including image selection, headline writing, and ad copy optimization, to create ads that drive real results. •
Budget Allocation and Optimization: In this unit, students learn how to allocate their budget effectively and optimize their campaigns for maximum ROI, using data to inform their decisions. •
Google Ads Automation: This unit covers the different automation options available in Google Ads, including automated bidding and automated ad scheduling, helping students to streamline their campaigns and save time. •
Data-Driven Ad Extensions: Students learn how to use data to inform their ad extension strategies, including site links, callouts, and call extensions, to create ads that drive real results. •
Conversion Tracking and Retargeting: In this unit, students learn how to set up conversion tracking and retargeting campaigns, using data to drive real results and maximize ROI. •
Data-Driven Attribution Modeling: This unit covers the different attribution models available, including linear and multi-touch attribution, helping students to understand how their campaigns are performing and make data-driven decisions. •
Advanced Google Analytics and Data Analysis: Students learn advanced Google Analytics techniques, including data visualization and segmentation, to gain a deeper understanding of their campaign performance and make data-driven decisions.
Data-Driven Decision Making: This unit focuses on teaching students how to use data to inform their paid advertising strategies, making data-driven decisions that drive real results. •
Google Analytics Fundamentals: In this unit, students learn the basics of Google Analytics, including tracking conversions, understanding user behavior, and measuring campaign performance. •
Ad Targeting Strategies: This unit covers the different ad targeting strategies available, including demographic targeting, interest targeting, and lookalike targeting, helping students to create targeted campaigns that reach the right audience. •
Data-Driven Ad Creative: Students learn how to use data to inform their ad creative, including image selection, headline writing, and ad copy optimization, to create ads that drive real results. •
Budget Allocation and Optimization: In this unit, students learn how to allocate their budget effectively and optimize their campaigns for maximum ROI, using data to inform their decisions. •
Google Ads Automation: This unit covers the different automation options available in Google Ads, including automated bidding and automated ad scheduling, helping students to streamline their campaigns and save time. •
Data-Driven Ad Extensions: Students learn how to use data to inform their ad extension strategies, including site links, callouts, and call extensions, to create ads that drive real results. •
Conversion Tracking and Retargeting: In this unit, students learn how to set up conversion tracking and retargeting campaigns, using data to drive real results and maximize ROI. •
Data-Driven Attribution Modeling: This unit covers the different attribution models available, including linear and multi-touch attribution, helping students to understand how their campaigns are performing and make data-driven decisions. •
Advanced Google Analytics and Data Analysis: Students learn advanced Google Analytics techniques, including data visualization and segmentation, to gain a deeper understanding of their campaign performance and make data-driven decisions.
Career path
| **Career Role** | **Job Market Trends** | **Salary Ranges** | **Skill Demand** |
|---|---|---|---|
| Data Scientist | High demand for data scientists in the UK, with a growth rate of 14% per annum. | Average salary range of £60,000 - £100,000 per annum. | Required skills: machine learning, deep learning, Python, R, SQL. |
| Business Analyst | Business analysts are in high demand, with a growth rate of 10% per annum. | Average salary range of £40,000 - £80,000 per annum. | Required skills: data analysis, business intelligence, Excel, SQL. |
| Digital Marketing Specialist | Digital marketing specialists are in high demand, with a growth rate of 12% per annum. | Average salary range of £30,000 - £60,000 per annum. | Required skills: digital marketing, SEO, social media, Google Analytics. |
| UX/UI Designer | UX/UI designers are in high demand, with a growth rate of 10% per annum. | Average salary range of £40,000 - £80,000 per annum. | Required skills: user experience, user interface, design thinking, Sketch. |
| Data Analyst | Data analysts are in high demand, with a growth rate of 8% per annum. | Average salary range of £30,000 - £60,000 per annum. | Required skills: data analysis, data visualization, Excel, SQL. |
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
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
MASTERCLASS CERTIFICATE IN DATA-DRIVEN PAID ADVERTISING
is awarded to
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
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
