A complete performance marketing course syllabus covers nine areas: business maths and KPIs (CPA, ROAS, CAC, LTV); Google Ads (Search, Shopping, Performance Max, YouTube and App campaigns); Meta Ads (campaign structure, Advantage+, creative testing); LinkedIn Ads and ABM (B2B targeting, Lead Gen Forms, target account lists); AI content generation and content strategy (prompting, ad copy and creative variants, content planning by funnel stage); measurement (GA4, Google Tag Manager, conversion tracking, Conversions API, UTMs and attribution); landing pages and CRO; e-commerce and lead generation applications; and reporting. Each module should end in a project that produces evidence of the skill.
This guide is part of our series on how to choose a performance marketing course in India. It answers one question in depth; the overview covers the full checklist.
What topics should a performance marketing course syllabus cover?
Use this table as a benchmark. The right-hand column matters most: every module should produce something you can show.
| Module | What you learn | Evidence you should produce |
|---|---|---|
| Foundations and business maths | Funnel stages, KPIs, CPA, ROAS, CAC, LTV, break-even maths | A KPI sheet for a real or sample business |
| Google Ads | Search, AI Max for Search, Demand Gen, Shopping, Performance Max, YouTube, App campaigns, offline conversion import, Smart Bidding | A Search campaign build with keyword and negative lists |
| Meta Ads | Account structure, audiences, Advantage+, placements, creative testing, scaling | A campaign plan with a creative test matrix |
| LinkedIn Ads and ABM | ICP scoring, buyer personas and DMUs, signal-based ABM (intent, hiring, funding and job-change triggers), matched audiences, Thought Leader Ads, Lead Gen Forms, employee advocacy, CRM sync, cost per SQL | An ABM plan for a list of 50 target accounts |
| AI content generation and content strategy | Prompting for ad copy and creative variants, AI image and video tools, brand guardrails, content journey mapping by funnel stage and buying committee role, agentic AI workflows | A content plan with AI-generated ad variants and a test brief |
| CRM and marketing automation | Lifecycle stages, lead scoring from MQL to SQL to pipeline, nurture flows, consent capture, first-party data, the DPDP Act | A lead scoring model and a 5-touch nurture flow with consent checkpoints |
| Conversational marketing | Click-to-WhatsApp ads, WhatsApp AI agents, speed-to-lead and sales handoff | A WhatsApp lead flow with handoff rules |
| Measurement | GA4 events and conversions, GTM tags and triggers, Pixel and Conversions API, UTMs, attribution, AI referral traffic, incrementality and MMM basics | A tracking plan and a working GTM container |
| Landing pages and CRO | Message match, page speed, forms, checkout friction | A landing page teardown with prioritised fixes |
| E-commerce and lead generation | Product feeds, catalogue ads, marketplace ads, lead quality and CRM feedback | A channel plan for one e-commerce and one lead-gen brand |
| Reporting and optimisation | Reading results, budget reallocation, client reporting | A weekly report and a monthly insight summary |
This article covers what to learn. For how to practise it and turn it into a portfolio, read our practical training guide. To see how the syllabus fits the wider decision, go back to the course selection guide.
Why is tracking the most important part of the syllabus?
Every optimisation decision depends on the conversion data the platforms receive. If tracking is wrong, bidding algorithms optimise toward the wrong event and reports tell the wrong story.
A syllabus should teach GA4, GTM and conversion tracking inside the Google and Meta modules, because that is how the work is done: you build a campaign and its measurement together. Look for these topics by name:
- GA4 event setup, key events (conversions) and e-commerce events
- Google Tag Manager tags, triggers, variables and preview mode
- Google Ads conversion tracking and enhanced conversions
- Meta Pixel and Conversions API, with event deduplication
- UTM conventions and how they appear in GA4
- Attribution models and why platforms report different numbers
A question we ask in almost every junior interview: why does Meta report 120 conversions when GA4 reports 86? The answer involves attribution windows, view-through conversions, cross-device journeys and consent. Candidates who can explain it have usually been taught tracking properly. Candidates who cannot usually learned the platforms from the ad interface alone.
How should ROI measurement be taught?
ROAS on its own does not tell you whether a campaign makes money. A syllabus should teach you to connect ad metrics to margin.
| Metric | Formula | What it tells you |
|---|---|---|
| ROAS | Revenue ÷ ad spend | Revenue returned per rupee of spend |
| CPA | Ad spend ÷ conversions | Cost of each sale or lead |
| Break-even ROAS | 1 ÷ gross margin | Minimum ROAS before a campaign loses money |
| CAC | Total acquisition cost ÷ new customers | Full cost of winning a customer, beyond media |
| LTV : CAC | Customer lifetime value ÷ CAC | Whether acquisition is sustainable over time |
Worked example: a product with a 40% gross margin has a break-even ROAS of 1 ÷ 0.40 = 2.5. A campaign reporting a 2.2 ROAS looks healthy on a dashboard and loses money on every order. A course that teaches this in week one changes how you read every campaign after it.
How should LinkedIn Ads and ABM be taught?
LinkedIn is the main paid channel for B2B, because it targets by job title, seniority, company and industry. Account-based marketing (ABM) goes further: instead of targeting an audience, you pick a list of companies and run campaigns only to the people who buy at those companies. A syllabus should cover:
- LinkedIn campaign objectives, Lead Gen Forms and the Insight Tag
- Job-title, seniority and company targeting, and why narrow audiences cost more per click
- Building an ICP, buyer personas and a decision-making unit (DMU) map
- Signal-based ABM: 1:1, 1:few and 1:many models, intent signals, website visitor identification, job change, hiring and funding triggers
- Uploading target account lists and contact lists as Matched Audiences, and Thought Leader Ads from your own leaders
- Employee advocacy as a people-led content programme
- Sequencing ads to buying committees across awareness, consideration and demo stages
- Syncing leads to a CRM and measuring cost per SQL, company engagement and pipeline attribution, not only cost per lead
Where do AI content generation and content strategy fit?
Most performance teams now draft ad copy, creative variants and landing page content with AI tools. The skill a course should teach is not the tool, it is the judgement: deciding what to say to which audience at which funnel stage, and using AI to produce enough variants to test. Look for:
- A content strategy framework: audience, message, funnel stage and channel
- Prompting for ad copy, hooks and headline variants
- AI image and video tools for creative testing
- Brand and compliance guardrails, including human review before anything is published
- Using test results to decide what content to produce next
- Agentic AI workflows for account research, enrichment, lead qualification and reporting, with governance and data safety
How does the syllabus change for e-commerce?
E-commerce adds product feeds and catalogue-based campaigns. A syllabus aimed at the Indian market should include:
- Google Merchant Center, product feeds and Shopping or Performance Max campaigns
- Meta catalogue ads and Advantage+ shopping campaigns
- Marketplace advertising on Amazon and Flipkart
- Cash on delivery, return-to-origin (RTO) rates and their effect on real ROAS
- Unit economics for D2C brands: AOV, contribution margin, repeat rate
Lead generation needs the equivalent: lead form quality, CRM integration and feeding qualified-lead data back to the platforms.
13 weeks, 78 live hours, batches of 12. Google Ads, Meta Ads, LinkedIn Ads and ABM, GA4 and GTM, and AI content generation and strategy, with two live campaigns and a portfolio. Led by Nitin Raghani. Next cohort mid-October 2026.
What projects should each module include?
A strong syllabus lists a project per module, such as a tracking plan, a Search campaign build, a creative test matrix, a landing page teardown and a weekly report. The projects are where the syllabus meets practice; our practical training guide covers how to run them and how to present them.
What are the red flags in a performance marketing syllabus?
- Tracking and analytics appear only as one module near the end
- No mention of GA4, GTM or Conversions API by name
- Long lists of tools with no projects attached
- No business maths: ROAS is taught without margin
- Social media posting and organic content mixed into a “performance” syllabus
- LinkedIn Ads and ABM missing, which leaves out most B2B roles
- AI covered only as a tool list, with no content strategy or brand guardrails
- No CRM, lead scoring or consent (DPDP Act) coverage, so leads stop at the form
- No week-by-week plan, only a list of topics
What does the NPR syllabus cover?
The NPR Performance Marketing Accelerator syllabus has 10 modules over 13 weeks: foundations and business maths; Google Ads (Search, Shopping, Performance Max, App); Meta Ads; programmatic and display; GA4, attribution and dashboards; e-commerce and D2C; LinkedIn Ads, ABM and B2B lead generation (ICP and DMU mapping, signal-based ABM, Thought Leader Ads, employee advocacy, pipeline attribution); AI content, agentic AI and marketing automation (content strategy, agentic workflows, CRM, lead scoring, nurture flows and the DPDP Act); SEO, GEO and AEO; and client reporting and career readiness. Tracking and attribution are taught inside every platform module, and a Live Campaign Lab runs alongside weeks 4 to 10.
Frequently asked questions
What is included in a performance marketing course syllabus?
Business maths and KPIs, Google Ads, Meta Ads, LinkedIn Ads and ABM, AI content generation and content strategy, measurement (GA4, GTM, conversion tracking and attribution), landing pages and CRO, e-commerce and lead generation applications, and reporting, with a project at the end of each module.
Does a performance marketing course teach GA4 and GTM?
A good one does, and it teaches them inside the Google and Meta modules rather than as a separate topic. Check for GA4 events, GTM tags and triggers, conversion tracking and Conversions API by name.
What is break-even ROAS?
Break-even ROAS is 1 divided by gross margin. A product with a 40% margin needs a ROAS above 2.5 before advertising becomes profitable.
Is LinkedIn Ads part of performance marketing?
Yes, especially for B2B lead generation. Many syllabi focus on Google and Meta; if you plan to work in B2B, check that LinkedIn campaign structure, Lead Gen Forms, ABM and CRM integration are covered.
What projects should a performance marketing course include?
At minimum a tracking plan, a Google Search campaign build, a Meta creative test plan, a landing page teardown and a performance report. Live campaigns on real accounts are better still.
13 weeks, 78 live hours, batches of 12. Google Ads, Meta Ads, LinkedIn Ads and ABM, GA4 and GTM, and AI content generation and strategy, with two live campaigns and a portfolio. Led by Nitin Raghani. Next cohort mid-October 2026.