In this episode of Performance Marketing with Fexingo, Lucas and Luna uncover a hidden ROAS blind spot in Amazon PPC: the impact of post-purchase surveys on conversion rates and ad efficiency. They explore how survey prompts after checkout can accidentally suppress conversion tracking, leading to inflated ROAS numbers that mislead advertisers. Using a real-world case of a supplement brand that saw a 12 percent drop in attributed ROAS after removing surveys, they explain the mechanics of conversion tracking, the role of post-purchase flows, and how to avoid this trap. Learn why your ROAS might be lying, how to audit your post-purchase experience, and what to do before running your next campaign. Tune in for a practical, data-driven conversation that could save your ad budget.

#AmazonPPC #ROAS #PostPurchaseSurveys #ConversionTracking #PerformanceMarketing #AdvertisingBlindSpot #Ecommerce #DTC #MarketingPodcast #FexingoBusiness #BusinessPodcast #Advertising #AmazonAdvertising #ConversionRate #Attribution #AdSpend #DataDriven #MarketingTips

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In this episode of Performance Marketing with Fexingo, Lucas and Luna tackle a hidden inefficiency in Amazon PPC: the assumption that ROAS is uniform across the day. They explore how dayparting—scheduling bids by hour—can either inflate or flatten your returns, and why most sellers ignore it because of Amazon's default reporting. Using a fictional mid-size seller as an example, they break down how to analyze hourly data, adjust bids conservatively, and avoid the trap of over-optimizing for time zones that don't match your customers' behavior. They also discuss the impact of Prime Day and holidays on dayparting strategies, and end with a practical framework for testing dayparting without risking your whole budget. If you're spending on Amazon PPC and wondering why your ROAS fluctuates, this episode gives you a concrete lever to pull—and a warning about the blind spots in the data you're already looking at.

#AmazonPPC #Dayparting #ROAS #PerformanceMarketing #PaidAds #Ecommerce #PPCStrategy #AdSpend #BidOptimization #AmazonAdvertising #Marketing #Business #FexingoBusiness #BusinessPodcast

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Episode 151 digs into a blind spot every Amazon seller has: ROAS calculations that ignore the cost of returns. Lucas and Luna walk through a concrete example — a mid-size kitchenware brand with a 20 percent return rate — and show how a 5.0 blended ROAS can actually be a 3.0 on the products that matter. They explain why return data lives in Seller Central, not in your ad platform, and why the fix is stitching those two together. Practical steps: pull return-rate by ASIN, recompute ACoS on net revenue, and shift budget away from return-heavy SKUs. The episode ends with a low-key ask to support the show — buy me a coffee dot com slash fexingo — and a final thought on why this blind spot will only get more painful as Amazon pushes AI-driven ad placements.

#AmazonPPC #AmazonReturns #ROAS #ACoS #ReturnRate #NetRevenue #AdSpend #Ecommerce #PerformanceMarketing #DTC #SellerCentral #AmazonAds #Marketing #Business #FexingoBusiness #BusinessPodcast #Podcast #DigitalMarketing

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In episode 150 of Performance Marketing with Fexingo, Lucas and Luna tackle a blind spot that quietly wastes ad spend in Amazon PPC: the default attribution window. Most sellers look at a 7-day attribution window and assume it captures all the sales their ads drive. But when shoppers click an ad, then return days later to buy — often through a different path — that sale can be credited to the wrong campaign or missed entirely. Lucas breaks down a real example: a seller whose day-7 attribution window hid 21 percent of the revenue from their sponsored brands ads. They discuss how changing the attribution window to 14 days shifted budget allocation, improved ROAS reporting, and exposed a keyword that was secretly driving 30 percent of sales. Luna challenges whether a longer window always helps, and they explore the trade-offs: longer windows can over-credit, shorter windows can under-credit. By the end, you'll know how to run a simple test to find your own attribution blind spot and decide which window actually matches your customer's buying cycle. This is the 150th episode, and it delivers a practical, actionable fix that any Amazon seller can apply today.

#AmazonPPC #AttributionWindow #ROAS #AdSpend #AmazonAds #PPC #Marketing #Ecommerce #FexingoBusiness #BusinessPodcast #PerformanceMarketing #AmazonSeller #SponsoredBrands #SponsoredProducts #Attribution #AdAttribution #AmazonAdvertising #DigitalMarketing

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In this episode of Performance Marketing with Fexingo, Lucas and Luna dig into a blind spot that quietly undermines Amazon PPC ROAS: coupon clips. They walk through a real scenario where a seller's coupon strategy looked like a win on paper but actually eroded margins and skewed ad performance. Lucas explains why coupon-attributed ROAS can mislead sellers into overbidding, and how the interaction between coupon redemption rates and ad impressions creates a feedback loop that most sellers miss. They also touch on the psychology of coupon clipping and how it affects conversion rates without boosting incremental sales. Tune in to learn how to separate coupon-driven conversions from genuine ad-driven ones, and how to adjust your bidding and budgeting accordingly.

#AmazonPPC #CouponBlindSpot #ROAS #PerformanceMarketing #PPC #AmazonAds #Ecommerce #DTC #Marketing #Business #FexingoBusiness #BusinessPodcast #AmazonSeller #CouponStrategy #AdAttribution #BidManagement #ConversionRate #Margins

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Lucas and Luna dig into a blind spot most performance marketers ignore: the way brand lift inflates reported ROAS on Google Ads. Using a mid-size DTC skincare brand's real numbers, they break down why search and shopping campaigns are quietly credit-swiping from each other, and how a controlled geo holdout can show your 'profitable' campaigns are actually barely breaking even. Backed by a 2024 brand lift study from a major media agency, they explain why your last-click numbers are lying, what a 2.1 percent brand-lift uplift actually means, and how to reallocate budget before you scale a loser. If you've ever wondered why your ROAS looks great but profit feels thin, this one's for you.

#BrandLift #ROAS #GoogleAds #Attribution #PerformanceMarketing #DTC #Advertising #Marketing #FexingoBusiness #BusinessPodcast #Podcast #MarketingPodcast #DigitalMarketing #PPC #PaidSearch #Incrementality #HoldoutTest #MediaAgency

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In this episode of Performance Marketing with Fexingo, Lucas and Luna dig into a blind spot that quietly erodes ROAS for Amazon sellers: bidding by placement. They break down why the default 'Top of Search' placement bid multiplier can silently inflate your cost per acquisition, how the placement report can mislead you when you ignore your actual conversion rate by placement, and why many sellers are better off leaving placement bids at zero and focusing on keyword-level adjustments instead. Using a concrete example—a seller with a 20% ROAS on top-of-search but a 30% ROAS on product pages—they show how the multiplier math can trick you into overpaying for clicks that convert at a lower rate. They also walk through a simple framework for auditing your own placement data and deciding when a placement bid actually makes sense: when you've proven the marginal ROAS is higher, not just the aggregate. This episode is packed with actionable advice for any Amazon advertiser who's ever wondered if their placement multipliers are helping or hurting.

#AmazonPPC #ROAS #PlacementBids #TopOfSearch #ProductPages #AmazonAdvertising #PPCMistakes #EcommerceAds #DigitalMarketing #MarketingPodcast #FexingoBusiness #BusinessPodcast #Marketing #PaidAds #DirectResponse #AmazonSeller #BidStrategy #ConversionRate

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Lucas and Luna tackle a blind spot that quietly erodes profitability for Amazon sellers: the way budget gets divided across campaigns. Most sellers set budgets by habit or convenience, not by marginal return. Lucas explains why the last dollar spent in each campaign matters more than the average return on ad spend, and walks through a simple framework for reallocating budget toward the campaigns with the highest incremental impact. They dig into a concrete example: a seller with three campaigns where the middle one looks great on paper but is actually stealing budget from the winner. Luna pushes back on the practical hurdles, like data noise and the fear of cutting a campaign that's 'working'. By the end, listeners get a repeatable weekly process for auditing budget allocation and a rule of thumb for when to shift dollars. If you've ever wondered why your blended ROAS looks fine but profit is flat, this episode names the culprit.

#AmazonPPC #BudgetAllocation #ROAS #MarginalReturn #CampaignManagement #PPCBudget #AmazonAdvertising #PerformanceMarketing #Ecommerce #MarketingStrategy #FexingoBusiness #BusinessPodcast #DirectResponse #PaidAds #Profitability #BudgetOptimization #SellerEducation #PPCTips

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A DTC skincare brand spent $50,000 on Snapchat Ads in Q2, got a reported ROAS of 4.0x, but when they ran a controlled lift test through Snap's own Brand Lift tool, the incremental ROAS was just 1.2x. That's a blind spot that's costing advertisers millions. Lucas and Luna break down why Snapchat's attribution window, view-through conversions, and user behavior inflate ROAS metrics, and how to use incrementality testing — including Snap's own Lift Studies — to get real numbers. They discuss the platform's unique challenges: fleeting attention spans, lower click-through rates compared to Meta, and the problem of delayed conversions not being captured. Plus, a practical three-step framework for brands to run their own lift tests without blowing budget. If you're running Snapchat Ads and trusting the platform-reported ROAS, this episode could save you from a nasty surprise.

#SnapchatAds #ROAS #DTCMarketing #PerformanceMarketing #Incrementality #LiftStudy #Attribution #MarketingBlindSpot #AdvertisingMetrics #FexingoBusiness #BusinessPodcast #SocialMediaAds #StartupMarketing #DataDrivenMarketing #MarketingROI #AdSpend #BrandLift #DirectToConsumer

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Performance Max campaigns are Google's fastest-growing ad product, but their ROAS numbers can be dangerously misleading. In this episode, Lucas and Luna unpack the attribution blind spot that causes PMax to overstate its true impact. They walk through a real example: a DTC brand seeing a 4.8x ROAS from PMax that dropped to 1.4x when they isolated incrementality. The episode covers why data-driven attribution favors PMax, how brand search cannibalization inflates returns, and what you can do — from conversion lifting studies to audience exclusions — to measure Performance Max honestly. If you run PMax and trust its reported ROAS, this is the episode that might save you from scaling a losing bet.

#GoogleAds #PerformanceMax #ROAS #BlindSpot #Incrementality #PPC #PaidSearch #DigitalMarketing #Attribution #ConversionLift #BrandSearch #DataDrivenAttribution #MarketingMetrics #FexingoBusiness #BusinessPodcast #PerformanceMarketing #DirectResponse #AdFraud

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