Project 05 · Academic · Digital Marketing Simternship

A Google Ads campaign that beat its revenue target

Running a paid-search and display campaign end to end (keywords, bids, targeting, and optimization) against a hard revenue goal, with real metrics deciding whether the decisions worked.

Role

Campaign Manager (Simulation)

Course

Digital Marketing

Focus

Paid Search · Optimization

Result

35% CTR · >$16K

Read

The brief

The simulation handed me a campaign and a target: build and optimize paid search and display advertising to clear a $16,000 revenue goal. Unlike a class essay, the feedback loop was numeric. Every decision on keywords, bids, and targeting showed up in CTR, conversions, and revenue, and I had to adjust round over round to hit the number.

How I approached it

I structured the account around tight, intent-matched ad groups so the keywords, ad copy, and landing pages all pointed at the same buyer. From there I treated each round as an optimization cycle: read the performance data, find where spend was being wasted, and reallocate toward the keywords and audiences that were actually converting.

The outcome

The campaign landed a roughly 35% click-through rate and exceeded the $16K revenue target. More important than the headline numbers was the discipline behind them: the results came from reading the analytics each round and making specific, evidence-based changes rather than guessing.

What I took away

Paid media rewards iteration. The first build is never the best build. The gains came from being honest about what the metrics were saying and being willing to cut what wasn't working, even when it was something I'd set up myself.

Deliverables

Tools

Google AdsPaid SearchOptimizationAnalytics
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