Learning path
Paid Ads / Performance Marketing learning path: everything to study, topic by topic
Comprehensive paid advertising assessment covering search advertising, social platforms, programmatic buying, campaign optimization, measurement and attribution, and full-funnel paid media strategy.
Short answer
To learn Paid Ads / Performance Marketing, work through 6 modules and 25 topics in the order they build on each other. It starts with Search Advertising, then moves on to Social Advertising and Display & Programmatic. Use the map as a checklist, or measure your level and study only what is missing.
What you will study
Topics are grouped by module. Open one to see its objectives and key concepts.
1 · Search Advertising4 topics
Google Ads Fundamentals
Campaign types, ad formats, auction mechanics, and account structure best practices
Objectives
- Structure a Google Ads account correctly
- Explain how the ad auction determines ad rank
Key concepts
- campaign types
- ad groups
- auction mechanics
- Quality Score
- ad rank
Keyword Strategy
Keyword research, match types, negative keywords, and search intent alignment
Objectives
- Build a keyword list aligned to search intent
- Use match types and negatives to control spend
Key concepts
- broad match
- phrase match
- exact match
- negative keywords
- search intent
- keyword research
Quality Score
Expected CTR, ad relevance, landing page experience, and their impact on CPC and ad rank
Objectives
- Diagnose low Quality Scores
- Improve Quality Score across all three components
Key concepts
- expected CTR
- ad relevance
- landing page experience
- Quality Score components
- CPC reduction
Search Ad Copywriting
Responsive search ads, headline and description optimization, ad extensions, and CTR improvement
Objectives
- Write high-CTR search ads for a given product
- Use ad extensions to improve click performance
Key concepts
- responsive search ads
- ad extensions
- headline testing
- CTR
- call-to-action
2 · Social Advertising3 topics
Meta Ads
Facebook and Instagram campaign structure, audience targeting, creative formats, and Advantage+ campaigns
Objectives
- Set up a Meta Ads campaign with proper audience targeting
- Optimize creative for Meta's delivery algorithm
Key concepts
- Advantage+
- custom audiences
- lookalike audiences
- campaign budget optimization
- creative formats
LinkedIn Ads
B2B targeting, Sponsored Content, Message Ads, lead gen forms, and account-based marketing
Objectives
- Build a LinkedIn Ads campaign for a B2B audience
- Evaluate when LinkedIn Ads justify the higher CPCs
Key concepts
- job title targeting
- company size targeting
- Sponsored Content
- Lead Gen Forms
- ABM
TikTok Ads
In-Feed Ads, TopView, Branded Hashtag Challenges, TikTok creative best practices, and audience signals
Objectives
- Design a TikTok Ads creative strategy
- Adapt brand creative to native TikTok formats
Key concepts
- In-Feed Ads
- TopView
- native creative
- sound-on format
- TikTok Pixel
- interest targeting
3 · Display & Programmatic3 topics
Programmatic Buying
RTB mechanics, DSPs, SSPs, deal types (open auction, PMP, programmatic direct), and inventory quality
Objectives
- Explain the programmatic supply chain
- Select the right deal type for a campaign objective
Key concepts
- RTB
- DSP
- SSP
- open auction
- private marketplace
- programmatic direct
- floor price
Retargeting
Pixel-based and list-based retargeting, audience segmentation, frequency capping, and sequential messaging
Objectives
- Build a retargeting funnel with sequential messaging
- Control frequency to avoid creative fatigue
Key concepts
- pixel retargeting
- custom audiences
- frequency capping
- sequential messaging
- burn pixel
Ad Exchanges
Ad exchange mechanics, inventory quality assessment, brand safety controls, and viewability standards
Objectives
- Evaluate inventory quality in an ad exchange
- Implement brand safety controls for programmatic campaigns
Key concepts
- ad exchange
- brand safety
- viewability
- IVT
- ads.txt
- inventory quality
4 · Campaign Optimization4 topics
Bid Strategies
Manual vs automated bidding, target CPA, target ROAS, maximize conversions, and smart bidding signals
Objectives
- Select the optimal bid strategy for a campaign objective
- Transition campaigns from manual to automated bidding
Key concepts
- target CPA
- target ROAS
- maximize conversions
- smart bidding
- bid modifiers
- portfolio bidding
Budget Allocation
Cross-channel budget distribution, pacing controls, dayparting, and budget reallocation based on performance
Objectives
- Allocate budgets across channels based on performance data
- Implement pacing controls to prevent overspend
Key concepts
- budget pacing
- dayparting
- cross-channel allocation
- shared budgets
- budget rebalancing
Creative Testing
A/B testing frameworks, multivariate testing, creative fatigue detection, and iterative creative optimization
Objectives
- Design a rigorous creative testing framework
- Identify and replace fatigued creative before performance drops
Key concepts
- A/B testing
- multivariate testing
- creative fatigue
- statistical significance
- winning creative
Algorithmic Bidding Strategy
Optimizing automated bidding strategies: tROAS, tCPA, max conversions, portfolio bidding, and value-based bidding
Objectives
- Design a portfolio bidding strategy that maximizes efficiency across a large account
- Evaluate trade-offs between automated and manual bidding approaches
Key concepts
- tROAS
- tCPA
- portfolio bidding
- value-based bidding
- Smart Bidding signals
- auction insights
- bid modifiers vs Smart Bidding
5 · Measurement & Attribution7 topics
ROAS Optimization
Return on ad spend calculation, blended vs channel-level ROAS, ROAS targets by objective, and optimization levers
Objectives
- Set ROAS targets aligned to business profitability
- Diagnose and improve declining ROAS across channels
Key concepts
- ROAS
- blended ROAS
- new-customer ROAS
- MER
- contribution margin
- ROAS targets
LTV Modeling
Customer lifetime value modeling for paid acquisition, LTV-to-CAC ratios, cohort analysis, and LTV-based bidding
Objectives
- Build a cohort-based LTV model for a paid channel
- Use LTV data to inform acquisition bid strategies
Key concepts
- LTV
- CAC
- payback period
- cohort analysis
- LTV:CAC ratio
- predicted LTV bidding
Attribution Models
Last-click, first-click, linear, time-decay, data-driven attribution, and cross-channel attribution challenges
Objectives
- Select the right attribution model for a campaign type
- Reconcile discrepancies across attribution reports
Key concepts
- last-click attribution
- data-driven attribution
- cross-channel attribution
- view-through attribution
- attribution windows
Incrementality Testing
Geo holdout tests, conversion lift studies, ghost ads, and measuring true incremental impact of paid channels
Objectives
- Design an incrementality test for a paid channel
- Interpret lift study results to inform budget decisions
Key concepts
- geo holdout test
- conversion lift
- ghost ads
- incrementality
- iROAS
- counterfactual
Cross-Channel Attribution Modeling
Building and interpreting cross-channel attribution models: data-driven attribution, MMM, and incrementality testing
Objectives
- Design a cross-channel attribution framework that accounts for full customer journeys
- Reconcile conflicting attribution signals across platforms
Key concepts
- data-driven attribution
- media mix modeling
- last-click vs DDA
- cross-channel journeys
- assisted conversions
- view-through attribution
- attribution window
Incrementality Testing & Media Mix Modeling
Measuring true advertising incrementality: holdout tests, geo experiments, synthetic control groups, and MMM calibration
Objectives
- Design and interpret geo-based holdout experiments for major channels
- Calibrate MMM outputs with incrementality test results
Key concepts
- holdout tests
- geo-matched markets
- synthetic control
- lift studies
- MMM calibration
- Robyn/LightweightMMM
- incrementality vs attribution
Privacy-First Measurement
Adapting measurement to privacy constraints: Conversion API, aggregated signals, iOS 14+ measurement, and cookieless attribution
Objectives
- Architect a measurement stack resilient to signal loss from privacy changes
- Implement Conversions API and server-side tagging to recover lost attribution
Key concepts
- Conversions API
- enhanced conversions
- Aggregated Event Measurement
- iOS 14+ SKAdNetwork
- server-side tagging
- cookieless measurement
- first-party data strategy
6 · Paid Media Strategy4 topics
Channel Mix Planning
Cross-channel portfolio strategy, reach and frequency planning, channel saturation curves, and mix optimization
Objectives
- Optimize a paid media mix using performance and saturation data
- Plan reach and frequency across channels
Key concepts
- channel mix
- reach and frequency
- saturation curves
- diminishing returns
- portfolio optimization
- MMM
Media Planning
Annual and quarterly media planning, flighting strategies, CPM/CPC forecasting, and buy types (upfront, scatter, programmatic)
Objectives
- Build a quarterly media plan with flighting strategy
- Forecast CPMs and reach for a given budget
Key concepts
- media plan
- flighting
- continuity
- CPM forecasting
- GRP
- upfront buying
- programmatic guaranteed
Full-Funnel Strategy
Awareness-to-conversion funnel design, upper/mid/lower funnel channel roles, budget allocation by funnel stage, and customer journey optimization
Objectives
- Design a full-funnel paid media strategy
- Allocate budgets across funnel stages with clear KPIs
Key concepts
- full-funnel
- TOFU
- MOFU
- BOFU
- funnel budget allocation
- demand generation
- demand capture
Performance Max Campaign Mastery
Optimizing Performance Max campaigns: asset group strategy, audience signals, budget allocation, and search term transparency
Objectives
- Structure Performance Max campaigns with optimized asset groups and audience signals
- Evaluate when PMax should replace or complement standard campaign types
Key concepts
- asset groups
- audience signals
- brand exclusions
- PMax insights
- search term reporting
- PMax vs standard campaigns
- conversion goals alignment
Levels: Junior, Mid, Senior, and Expert
Explain it in your own words
Graded by AI · no account · 1 questionNo options to guess from: you write, the AI grades against the topic's rubric and tells you what level your answer reads at.
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The assessment measures topic by topic, and your plan skips what you already know.
Open to read. An account is only needed to be measured.
Frequently asked questions
Where should I start studying Paid Ads / Performance Marketing?
Start with Search Advertising: Google Ads Fundamentals, Keyword Strategy, and Quality Score. The map orders topics by what they depend on, so each one prepares the next.
How long does a full Paid Ads / Performance Marketing assessment take?
A full assessment of this path takes about 50 minutes. Study time depends on where you start; a diagnostic shows which topics you can skip.
Do I need an account to use this page?
No. The map, objectives and key concepts are open. You only need an account to be measured, get your gap by topic and receive a plan.