Google Ads Creative study plan

Map the Google Ads Search campaign structure (account, campaign, ad group, keywords, ads) and explain how each level controls targeting and budget.

Compare responsive search ads, dynamic search ads, and call ads by listing when each format is the correct choice.

Build a negative keyword list and apply match types (broad, phrase, exact) to a sample keyword set, predicting which searches each would trigger.

Draft three RSA headlines and two descriptions that satisfy character limits, include a keyword, and avoid duplicate messaging.

Outline a YouTube video campaign structure (channel, campaign, ad group, video ad) and identify where targeting is set.

Diagnose a low Search impression share scenario by separating budget, rank, and targeting causes and stating the fix for each.

Write ad copy variants for a lead-gen and an e-commerce advertiser, then justify which assets would be flagged for policy or quality issues.

Configure a Video campaign for brand awareness versus action, and list the bidding strategy and targeting differences between them.

Select the correct YouTube ad format (skippable in-stream, non-skippable in-stream, in-feed, bumper, Shorts) for five given objectives.

Explain how Search and Video campaigns share conversion data and where audience signals can be reused across both.

Differentiate Display targeting methods (audience segments, demographics, placements, topics, custom segments) and match each to a campaign goal.

Design a responsive display ad asset group with short headlines, long headlines, descriptions, images, and logos that meet format requirements.

Build a Shopping campaign structure that separates product groups by category, brand, and margin tier.

Trace how a product feed attribute (title, GTIN, product type, custom label) flows into Shopping ad eligibility and ad appearance.

Identify the top five feed disapprovals or missing attributes that block Shopping ads and state the correction for each.

Compare Smart Shopping and standard Shopping campaign controls, and explain when Performance Max should replace either.

Set up audience exclusions and frequency capping logic for a Display remarketing campaign and predict the effect on reach and CPA.

Write a Shopping feed optimization plan that rewrites ten product titles using the brand, product type, and key attribute formula.

Choose bid adjustments for Display placements and devices, and justify each adjustment with a stated performance assumption.

Evaluate a Display creative set against the ad strength and asset diversity guidance, and list three concrete improvements.

Define conversion actions in Google Ads, distinguish primary from secondary actions, and explain how counting settings (every vs. one) change bidding.

Set up and interpret attribution models (last click, data-driven, linear) and explain how model choice shifts reported conversions.

Read a Search terms report and classify queries into add-as-keyword, add-as-negative, and no-action buckets.

Calculate CTR, CPC, conversion rate, CPA, and ROAS from a given metric table and identify which metric explains a performance drop.

Configure a Search campaign experiment or draft to test a bidding change without disrupting the live campaign.

Interpret Video campaign metrics (view rate, CPV, earned actions, brand lift inputs) and state which metric answers which business question.

Build a conversion path that connects YouTube engagement to a downstream site action and name the reports that show the link.

Explain how Google Ads conversion tracking differs from Google Analytics 4 attribution and when the numbers will disagree.

Design a Video ad test that isolates one variable (hook, length, CTA) and define the success metric before launch.

Audit a conversion tag setup for common errors (duplicate counting, missing values, cross-domain gaps) and prescribe fixes.

Integrate Search, Display, Video, and Shopping into one campaign portfolio and justify the budget split by funnel stage.

Reconcile conflicting recommendations from two domains (for example, Search keyword expansion versus Display audience expansion) and defend a decision.

Apply Google Ads policy rules to five borderline creative examples and state the compliant rewrite.

Explain how automated bidding across formats uses shared conversion data and where it can misallocate spend.

Draft a client-facing summary that translates domain metrics into business outcomes without jargon.

Complete two timed practice sets covering all five domains and score each domain separately.

Review every missed item and write the underlying rule or concept it tested.

Re-explain the five weakest concepts from memory in plain language, without notes.

Build a personal one-page cheat sheet of settings, metrics, and format-selection rules that recur across domains.

Simulate a scenario question that spans Shopping feed quality, Display creative, and measurement, and defend the full answer.