『The Google Ads Podcast with Fexingo: Search Ads, Display, and PPC Campaign Strategy』のカバーアート

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

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

著者： Fexingo
無料で聴く

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 landing page load time exceeds three seconds? How do you explain a 7% conversion rate drop after a broad match opening? Together, they build a practical model for thinking about paid search as a compounding asset — where every bid adjustment and ad copy test either strengthens or erodes your account's long-term efficiency. No generic tips. No 'hacks.' Just the unglamorous, repeatable work of making Google Ads deliver on its promise. What would it take for your last campaign to have been 30% more efficient? #GoogleAds #PPCStrategy #SearchAds #DisplayAds #PayPerClick #PaidSearch #AdWords #CampaignOptimization #BidManagement #QualityScore #ConversionRate #ROAS #DigitalMarketing #SEM #Marketing #FexingoBusiness #BusinessPodcast #Business Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How Google Ads Dayparting Schedules Boost Conversion Rates

    How Google Ads Dayparting Schedules Boost Conversion Rates
    2026/06/08
    In episode 39, Lucas and Luna drill into the specifics of dayparting—adjusting Google Ads bids by time of day and day of week. They break down how a mid-size e-commerce retailer, Nature's Pantry, reallocated 70% of their budget to just 5 hours each weekday, cutting cost-per-acquisition by 30% while maintaining volume. Lucas explains how to read your own hour-of-day report, why the 'midnight dip' is often a trap, and the one adjustment window you need to set to avoid ghost spend. Luna pushes back on the assumption that weekends are dead zones, sharing data from a B2B campaign that disproves it. The conversation covers bid adjustment ranges, time zone alignment, and the interplay with smart bidding. A focused, tactical episode for any PPC manager looking to squeeze waste out of the clock. #Dayparting #GoogleAds #PPC #BidAdjustments #ConversionRate #HourOfDay #AdScheduling #CampaignOptimization #Marketing #PaidSearch #ROAS #SmartBidding #Ecommerce #B2B #NaturePantry #FexingoBusiness #BusinessPodcast #GoogleAdsPodcast Keep every episode free: buymeacoffee.com/fexingo
    続きを読む 一部表示
    7 分
  • How Google Ads Conversion Lag Adjusts Bid Strategies in 2026

    How Google Ads Conversion Lag Adjusts Bid Strategies in 2026
    2026/06/08
    Lucas and Luna dig into Google Ads conversion lag — the delay between a click and a conversion that silently wrecks bid strategies. Lucas explains why a 7-day click window can hide up to 30% of true ROAS for long-consideration products like enterprise software or luxury goods. They walk through how to measure lag using the 'Time to Conversion' report in Google Ads, and how to adjust Target CPA and ROAS bidding by setting a longer conversion window (90 days vs 30). Luna shares a case study from a B2B SaaS client whose reported CPA dropped 22% after extending the attribution lookback from 30 to 60 days. They also cover how conversion lag interacts with seasonality and new product launches, and why smart bidding algorithms need enough lag data to avoid underpacing. No jargon, just practical PPC strategy for 2026. #ConversionLag #GoogleAds #PPC #BidStrategy #TargetCPA #TargetROAS #Attribution #TimeToConversion #ClickWindow #B2BSaaS #SmartBidding #Marketing #DigitalAdvertising #PaidSearch #FexingoBusiness #BusinessPodcast #ConversionTracking #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
    続きを読む 一部表示
    8 分
  • How Google Ads Keyword Match Type Migration Works in 2026

    How Google Ads Keyword Match Type Migration Works in 2026
    2026/06/07
    Episode 37 of The Google Ads Podcast tackles Google's 2026 keyword match type consolidation. Lucas and Luna break down why broad match now behaves more like phrase match, how advertisers lose control when exact match broadens automatically, and what this means for account structure. They walk through a concrete example: a mid-market SaaS company that shifted from 85% exact match to a hybrid broad-plus-negative strategy, and how their cost per acquisition changed. They also discuss the impact on Quality Score, impression share, and the role of audience signals in the new match-type landscape. If you're running Google Ads in 2026 and wondering why your previously tight exact match campaigns suddenly show for unrelated queries, this episode explains what happened and how to adapt. The hosts also touch on Google's official documentation, which now frames match types as 'suggestions' rather than strict targeting, and what that shift means for PPC managers who rely on precision. #GoogleAds #PPC #KeywordMatchTypes #BroadMatch #ExactMatch #PhraseMatch #GoogleAds2026 #PaidSearch #AdRank #QualityScore #NegativeKeywords #AudienceSignals #PPCStrategy #SaaSMarketing #CostPerAcquisition #SearchAds #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
    続きを読む 一部表示
    11 分
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません