The Google Ads Podcast with Fexingo: Search Ads, Display, and PPC Campaign Strategy

PODCAST · business

The Google Ads Podcast with Fexingo: Search Ads, Display, and PPC Campaign Strategy

Lucas and Luna dissect the mechanics of Google Ads — search, display, and PPC campaign strategy — as a systematic pursuit of measurable return, not a guessing game. Each episode traces a single campaign thread: how a mid-size DTC brand structured its Shopping ads to lower CPA by 18% over 90 days, why a B2B SaaS company shifted budget from broad match to phrase match and saw lead quality jump, or what the latest Google Ads API changes mean for third-party bid management tools. They examine the actual auction dynamics — Quality Score thresholds, ad rank floors, impression share constraints — and weigh trade-offs between automated and manual bidding, between responsive search ads and expanded text ads, between network selection and placement exclusions. Lucas brings the numbers: cost-per-click trends across verticals, CTR benchmarks from a 500-campaign analysis, and the math behind marginal ROAS decisions. Luna tests those numbers against practitioner reality: What happens when a client's

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ABOUT THIS SHOW

Lucas and Luna dissect the mechanics of Google Ads — search, display, and PPC campaign strategy — as a systematic pursuit of measurable return, not a guessing game. Each episode traces a single campaign thread: how a mid-size DTC brand structured its Shopping ads to lower CPA by 18% over 90 days, why a B2B SaaS company shifted budget from broad match to phrase match and saw lead quality jump, or what the latest Google Ads API changes mean for third-party bid management tools. They examine the actual auction dynamics — Quality Score thresholds, ad rank floors, impression share constraints — and weigh trade-offs between automated and manual bidding, between responsive search ads and expanded text ads, between network selection and placement exclusions. Lucas brings the numbers: cost-per-click trends across verticals, CTR benchmarks from a 500-campaign analysis, and the math behind marginal ROAS decisions. Luna tests those numbers against practitioner reality: What happens when a client's

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Fexingo

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