Performance Marketing with Fexingo: Paid Ads, ROAS, and Direct Response Conversations
Performance marketing lives and dies by the numbers: cost per acquisition, return on ad spend, lifetime value, and the incremental lift that separates a winning campaign from a money-losing one. Lucas and Luna sit at a three-monitor ops desk every episode to dissect the paid-ads tactics and direct-response strategies that actually move revenue — not the hype. They walk through real campaigns from brands like Warby Parker, Allbirds, and HelloFresh, pulling apart audience targeting, creative testing, bid management, and attribution models. Lucas brings a journalist's instinct for questioning the assumptions baked into a dashboard — is that ROAS real or cannibalized? — while Luna pushes for the operational trade-offs: how much scale do you sacrifice for efficiency? The show is built for marketing managers, agency strategists, and founders who manage their own ad spend — people who need to defend budgets, optimize funnels, and explain performance to stakeholders without buzzwords.
Episodes
The Silent Killer of Paid Ads: Creative Decay
We look at why high-performing ad creatives naturally lose effectiveness over time, a phenomenon known as creative decay. Using data from a major DTC brand's Q3 campaign, we explore how frequency capping and rapid iteration can protect margins. Lucas and Luna break down the specific metrics that signal when an asset is dying and how to rebuild your testing pipeline before ROAS collapses.
#Creativ
Why Your Ad Creative Is The New Algorithm
In this episode of Performance Marketing with Fexingo, we tackle the shift from algorithmic targeting to creative-led growth. With October 12, 2026 marking a pivotal moment for privacy-first advertising, Lucas and Luna dissect how Meta and Google are now rewarding high-quality first-party data signals embedded directly in ad assets. We explore why static retargeting is dead, how dynamic creative o
How To Fix Marketing Attribution Blind Spots
Lucas and Luna dissect the specific mechanics of last-click attribution failure using a concrete SaaS onboarding case. They explore how ignoring assisted touches distorts budget allocation, revealing why high-intent search spend looks unprofitable while brand awareness drives real revenue. The conversation offers a practical framework for shifting from last-click to multi-touch modeling without ne
Why Your Best Ads Are Killing Long-Term Growth
In this episode, Lucas and Luna examine the paradox of creative fatigue in performance marketing. While algorithms optimize for immediate clicks, high-frequency exposure to winning creatives can degrade brand perception and increase customer acquisition costs over time. Using data from a major e-commerce retailer's A/B testing framework, we explore how ad decay curves impact return on ad spend and
How Dynamic Creative Optimization Breaks Ad Fatigue
We dissect how Dynamic Creative Optimization actually works under the hood, moving beyond the myth that algorithms alone solve creative fatigue. Using a concrete example from a major retail brand's Q3 2026 campaign, we show how mixing and matching headlines with specific audience segments can lift conversion rates by twelve percent without increasing spend. Lucas and Luna break down the technical
Why Your Ad Budget Is Bleeding Into Competitor Accounts
In this episode of Performance Marketing with Fexingo, Lucas and Luna dissect the hidden leak in paid media budgets: audience overlap and cross-platform cannibalization. Using a concrete example from a major e-commerce brand that found thirty percent of its spend was competing against itself across Meta and Google, they explain how to map your true incremental reach. They walk through a simple thr
Why Customer Lifetime Value Is Your New North Star
We are dissecting why customer lifetime value is replacing return on ad spend as the primary metric for growth. Most marketers are still optimizing for immediate conversion, which is masking long-term profitability. We use a specific case study of a direct-to-consumer brand that shifted its bidding strategy to prioritize LTV over first-purchase ROAS. The result was not just higher retention, but a
Why Your Best Ads Are Killing Long-Term Growth
We look at the hidden danger of over-optimizing for short-term ROAS. Using a specific case study of a mid-sized DTC brand that hit a growth ceiling, we explore how chasing immediate returns can erode customer lifetime value and brand equity. Lucas and Luna break down why sometimes the most profitable ad is the one you don't run today, and how to balance acquisition with long-term retention strateg
How Dynamic Creative Optimization Fixes Ad Fatigue
Most performance marketers treat creative as a static asset, but the real leverage lies in dynamic creative optimization. We look at how one mid-sized e-commerce brand used algorithmic assembly of ad elements to cut their cost per acquisition by twenty-eight percent while simultaneously increasing click-through rates. This episode breaks down the mechanics of modular creative testing, why manual A
The Hidden Cost of Retargeting Fatigue in Modern Marketing
We examine why aggressive retargeting is destroying customer lifetime value, using a specific case where a major apparel retailer saw conversion rates drop by forty percent after increasing ad frequency beyond five impressions per week. Lucas and Luna break down the psychological tipping point where curiosity becomes annoyance, and how to rebuild trust through respectful engagement rather than con
Why Ad Frequency Is Killing Your Profit Margins
Most performance marketers obsess over clicks and conversions, but Lucas and Luna argue that ad frequency is the silent killer of profitability. In this episode, they break down why showing your creative too often to the same user drives down engagement and inflates effective cost per acquisition. Using a concrete case study from a mid-sized DTC brand that hit a frequency cap of three versus seven
How Attribution Blind Spots Distort Marketing Spend
Lucas and Luna examine how last-click attribution models systematically undervalue top-of-funnel brand awareness campaigns, using a hypothetical consumer goods case study to show why this distortion leads to budget cuts that kill long-term growth. They discuss the difference between incremental lift and assisted conversions, offering marketers a framework to protect brand spend even in tight quart
How Incremental Lift Tests Fix Ad Waste
We dive into the mechanics of incremental lift testing, explaining why it is the only way to separate true ad-driven sales from organic conversions. Lucas and Luna break down how a major retail brand used geo-based holdout groups to discover that forty percent of their 'conversions' were happening anyway. We discuss the operational friction of setting up these tests, the statistical significance r
Why CAC Is Masking Profit Loss
Most marketers celebrate a falling Customer Acquisition Cost, but Lucas and Luna dig into why that metric is often hiding a deeper problem: rising refund rates and shrinking margins. They examine how relying on top-line revenue without deducting return costs creates a false sense of efficiency. The hosts break down the specific mechanics of gross margin erosion in direct response campaigns and int
How Incremental Lift Tests Reveal True Ad Profitability
We dissect the hidden math behind performance marketing’s most dangerous illusion: confusing correlation with causation. In this episode, Lucas and Luna explore why last-click attribution is systematically overvaluing your top-performing channels while starving genuine growth drivers. Using a concrete example of a mid-market DTC brand that wasted two hundred thousand dollars in Q3 by optimizing fo
How Marketing Mix Modeling Saves Ad Spend
With the S&P 500 hovering near record highs in late September 2026, consumer brands are facing a brutal reality: their last-click attribution models are lying to them. In this episode, Lucas and Luna break down why Marketing Mix Modeling is no longer just for Fortune 500 giants with dedicated data science teams. We look at how a mid-sized direct-to-consumer retailer recently used MMM to cut thirty
The Hidden Trap of ROAS Optimization
We look at why chasing a specific return on ad spend target can actually destroy customer acquisition. Using a concrete example from a mid-market e-commerce brand that scaled efficiently until they hit the optimization wall, we explain how rigid ROAS constraints force algorithms into low-intent traffic. The result is cheaper clicks but higher actual costs per acquisition and lower margins. Lucas b
Why First Party Data Beats Third Party Cookies
With third-party cookies effectively dead in major browsers by late 2026, performance marketers are scrambling for alternatives. This episode examines how Shopify merchants and direct-to-consumer brands are building robust first-party data strategies through loyalty programs and value-exchange mechanisms. We break down the specific mechanics of email capture funnels, SMS opt-in conversions, and th
How Brand Safety Is Reshaping Ad Placement Strategy
In this episode of Performance Marketing with Fexingo, Lucas and Luna explore the growing tension between algorithmic efficiency and brand safety in paid media. We dive into a specific case where a major fintech firm pulled back on programmatic display ads after their creative appeared alongside controversial political content, triggering a compliance review that halted spending for three days. Th
How Algorithmic Bidding Resets Ad Spend
Lucas and Luna dissect how automated bidding strategies like target return on ad spend fundamentally change the math of customer acquisition. Using a concrete example from a mid-sized DTC brand, they explore why manual bids are failing in 2026 and how machine learning is shifting control from marketers to platforms. They break down the risks of over-optimization and how to maintain creative direct
The Case for Zero-Based Budgeting in Marketing
Most marketing teams still allocate budgets based on last year's spending plus a growth percentage. This episode argues that zero-based budgeting is the only way to survive in September 2026. We look at how reallocating just ten percent of legacy spend toward experimental channels can unlock new customer segments. Lucas and Luna break down the operational friction of starting from scratch, the psy
Why Your CAC Is Masking Profit Loss
We talk about how optimizing for customer acquisition cost can actually destroy your bottom line. Using a concrete example of a subscription service that cut ad spend to lower their CAC but saw overall profits drop, we explore why efficiency isn't the same as profitability. This episode breaks down the difference between unit economics and brand health, showing you how to measure what truly matter
Why Your Retargeting Ads Are Annoying Customers Not Converting
Most performance marketers treat retargeting as a net to catch leakers, but in September 2026 it is often the primary driver of brand erosion. Lucas and Luna dissect why aggressive frequency capping fails and how cross-device tracking gaps create friction instead of sales. They examine the specific mechanics of creative fatigue in remarketing campaigns and introduce the concept of 'ad avoidance be
Why Paid Ads Are Failing New Customer Growth
Most brands chase customer acquisition cost in their paid ads, but Lucas and Luna argue that this metric is masking a deeper problem: new customer growth is stagnating because of reliance on broad audience targeting. In this episode, they dissect how Facebook and Google’s algorithmic optimization for conversion events inadvertently cannibalizes organic traffic and inflates costs. Using a specific
The Creative Testing Trap in Performance Marketing
We are talking about the creative testing trap that is quietly destroying margins for direct response marketers right now. Lucas and Luna break down why running fifty variations of a single ad creative looks like robust strategy on paper but actually fragments your learning phase across platforms like Meta and Google. We use a specific case study of a mid-sized e-commerce brand that scaled to twen
How Offline Attribution Transforms Retail Marketing
Most brands measure digital success in isolation, ignoring the massive revenue generated when online ads drive physical store visits. This episode explores how retailers like Target and Best Buy are closing the loop between digital spend and brick-and-mortar sales using geofencing and loyalty data. We break down why your last-click attribution model is failing to capture half your true return on a
How Incremental Testing Fixes Ad Waste
Most marketers optimize for last-click attribution, which systematically rewards cheap traffic while ignoring the expensive channels that actually open doors. In this episode, Lucas and Luna dissect how incremental lift testing reveals true ad profitability by measuring what happens when you turn ads off. We explore a specific case where a direct-to-consumer brand cut their highest-ROAS channel on
How Attribution Windows Distort Paid Ads
Lucas and Luna dissect how the standard thirty-day click attribution window in paid advertising creates a false sense of security for brands. Using a specific case from a direct-to-consumer home goods retailer, they reveal how shortening that window to seven days exposed massive inefficiencies in retargeting spend. This episode explores the mechanics of decay curves, why last-click metrics lie abo
Why First-Party Data Is Your Only Real Ad Asset
In this episode of Performance Marketing with Fexingo, Lucas and Luna dissect why third-party cookie deprecation has forced a fundamental shift in paid media strategy. Rather than chasing lower costs per click, successful brands are now investing heavily in first-party data collection through value-exchange mechanisms like loyalty programs and gated content. We explore the specific mechanics of ho
How Dynamic Creative Optimization Is Hiding Your Ad Waste
Dynamic creative optimization sounds like a magic bullet for ad efficiency, but it often masks the true cost of customer acquisition by mixing high-performing assets with underperformers. Lucas and Luna break down how DCO algorithms blend headlines, images, and calls to action in real-time, creating a black box where you lose visibility into which specific element drives results. They explore a ca
Why Incremental Lift Tests Reveal True Ad Profitability
We dissect why last-click attribution and raw ROAS metrics systematically overstate marketing effectiveness by ignoring organic fallback behavior. Using a concrete case of a DTC skincare brand that saw its true incremental return drop from four to one point two after running controlled geo-lift experiments, we show how dark funnel traffic inflates budgets. Lucas walks through the mechanics of hold
The Hidden Cost of Creative Fatigue in Performance Marketing
Creative fatigue is the silent killer of ROAS that most performance marketers ignore until their CPA spikes overnight. In this episode, Lucas and Luna break down why ad creative decays faster than audiences admit, using a specific case study from a mid-market DTC brand that saw a 40 percent drop in conversion rates over just six weeks without changing their targeting or bids. We explore the psycho
How Customer Lifetime Value Is Reshaping Ad Spend
Most performance marketers still optimize for the first sale, but in September 2026 that metric is actively destroying profitable growth. Lucas and Luna break down why shifting your budget toward customer lifetime value and retention signals actually lowers your blended acquisition cost. We look at how a specific mid-market DTC brand reversed a forty percent churn rate by changing their ad targeti
The Hidden Cost of Last Click Attribution
We dissect why last-click attribution systematically penalizes top-of-funnel awareness campaigns and over-rewards retargeting, distorting your true customer acquisition cost. Using a concrete example from a direct-to-consumer apparel brand that shifted budget based on flawed data, we show how this bias kills long-term growth. We explore the mechanics of dark funnels and why your marketing mix migh
How Creative Fatigue Kills Ad Performance
Lucas and Luna explore the hidden cost of creative fatigue in performance marketing. With ad lifespans shrinking to days instead of weeks, brands are burning cash on stale assets. This episode breaks down how to spot declining creative health before it hits your bottom line, using real-world examples from Meta and Google Ads. Learn why testing new angles matters more than tweaking bids, and how to
How Creative Fatigue Kills Ad Performance
Most marketers treat ad creative as a static asset, but data shows that visual fatigue degrades performance within days, not months. In this episode, Lucas and Luna dissect how the S&P 500 tech sector has shifted toward dynamic creative optimization to combat rising customer acquisition costs. They explore why your best-performing ad is actually your biggest liability after two weeks and offer a c
How Incremental Testing Reveals True Ad Profitability
Most performance marketers treat Return on Ad Spend as a truth-teller, but it is often just a reflection of your attribution model. In this episode, we look at how incremental lift testing actually measures what matters: the delta between selling with ads and selling without them. We examine why brands like Dollar Shave Club use geo-based holdouts to find their real customer acquisition cost, and
Why Your Customer Acquisition Cost Is Rising
As of September 06, 2026, the digital advertising landscape is shifting from a growth-at-all-costs mentality to a strict profitability audit. We look at why customer acquisition cost has risen twenty-two percent across mid-market e-commerce brands in the last twelve months, even as ad inventory expanded. The culprit isn't just Apple's privacy updates or inflation. It is the collapse of the 'attent
Why Your Ad Spend Is Disappearing Into Dark Funnels
We dig into the silent killer of performance marketing: the dark funnel. While most teams obsess over last-click attribution and ROAS, a growing share of high-intent buyers never touch your tracked pixels. They discover brands via word-of-mouth, influencer mentions, or organic social, then search directly to buy. We break down how this shift is skewing your data, why doubling down on paid acquisit
How Incremental Lift Tests Fix Ad Waste
Most brands optimize for last-click attribution, which systematically overstates the value of paid social and search. This episode breaks down how to run proper incremental lift tests using holdout groups to measure true causal impact. We examine a specific case where a mid-sized DTC brand discovered their return on ad spend was overstated by forty percent after implementing randomized controlled
Why Your ROAS Lies About Profit Margins
Most marketers treat Return on Ad Spend as a profit proxy, but that metric ignores the hidden costs of customer acquisition and operational friction. In this episode, Lucas and Luna break down why a four-point-two ROAS can still mean losing money if your contribution margin is thin. They use a concrete example from a mid-sized apparel brand to show how shipping subsidies, return rates, and payment
Why Your First Click Conversion Rate Is Lying To You
Most performance marketers treat the first click as a vanity metric, but for many direct response brands it is the truest signal of acquisition efficiency. We break down why last-click attribution masks the real cost of customer acquisition and how shifting focus to first-click conversion rates reveals hidden inefficiencies in top-of-funnel spending. Using a concrete example from a mid-sized DTC a
Why Attribution Models Lie About Your Ad Spend
Most brands treat last-click attribution as gospel, but it systematically undervalues upper-funnel awareness and mid-funnel consideration. We break down how a specific DTC apparel brand shifted from last-click to data-driven attribution and saw their true customer acquisition cost drop by twenty percent because they finally counted the touchpoints that built trust before the final sale. This is no
How TikTok Shop Ad Frequency Skews Your True Return on Ad Spend
In this episode of Performance Marketing with Fexingo, Lucas and Luna dive into a blind spot that quietly distorts ROAS for TikTok Shop advertisers: ad frequency. Using a concrete example from a DTC beauty brand, they show how average frequency can mask the point of diminishing returns, why the same creative shown to the same person three times can perform differently, and why frequency caps are a
The TikTok Shop ROAS Blind Spot in Audience Overlap
In this episode, Lucas and Luna dig into a performance-marketing blind spot that quietly inflates reported return on ad spend: audience overlap between ad sets. Using a concrete DTC skincare example, they show how overlapping targeting can double-count the same purchase across two ad sets, making ROAS look 40 percent better than it actually is. They walk through how TikTok's ad delivery works, why
The TikTok Shop ROAS Blind Spot in Ad Set Budget Optimization
In this episode of Performance Marketing with Fexingo, Lucas and Luna dig into a hidden ROAS killer on TikTok Shop: budget optimization at the ad set level. While most brands focus on creative and bidding, the way budgets are allocated across ad sets can silently distort return on ad spend. They walk through a real example of a DTC skincare brand that saw a 30 percent lift in ROAS just by restruct
The ROAS Blind Spot in TikTok Shop Abandoned Checkout Remarketing
Most TikTok Shop brands treat abandoned checkout as a lost sale, but Lucas and Luna dig into the hidden return on ad spend in remarketing to shoppers who almost bought. They break down why the click-through rate on those campaigns can look bad while the actual return is strong, how to structure budgets so you don't double-count the same sale, and why your ad platform's attribution window often hid
The TikTok Shop ROAS Blind Spot in Ad Creative Localization
In this episode of Performance Marketing with Fexingo, Lucas and Luna unpack a 2026 blind spot that's quietly inflating and deflating TikTok Shop ROAS: ad creative localization. They dive into a specific DTC skincare brand that saw a 37% return on ad spend lift after translating and culturally adapting just its top three ad creatives for Germany. Lucas explains the difference between translation a
How Amazon PPC Bid Multipliers Skew Your True Return
In this episode of Performance Marketing with Fexingo, Lucas and Luna drill into a blind spot that most Amazon sellers never catch: the way bid multipliers interact with placement adjustments to quietly distort reported ROAS. Using a concrete example of a seller running a 50 percent top-of-search multiplier alongside aggressive placement bids, they show how the math can flatter your numbers while
How TikTok Shop Ad Scheduling Masks True Return on Ad Spend
In this episode of Performance Marketing with Fexingo, Lucas and Luna dive into a blind spot that most TikTok Shop advertisers miss: ad scheduling. While the platform's default settings optimize for clicks and conversions within a set window, they can silently inflate your return on ad spend by ignoring when your audience actually shops and converts. Lucas walks through a concrete example of a DTC
How Live Shopping ROI Depends on What Happens After the Bid
In episode 169 of Performance Marketing with Fexingo, Lucas and Luna drill into a blind spot in live shopping ROI that most brands miss: the post-bid experience. Using a concrete example of a skincare brand running a TikTok Shop live event, they show how friction at checkout—like forcing viewers to leave the live to complete a purchase—quietly inflates your cost per acquisition and deflates your t
The ROAS Blind Spot in TikTok Shop Ad Scheduling
Most TikTok Shop sellers optimize their ads for the moment of conversion, but Lucas and Luna uncover a hidden inefficiency: the time-of-day and day-of-week patterns that quietly distort ROAS. Using a case study of a DTC skincare brand that saw a 23 percent gap between peak-hour and off-peak return on ad spend, they explain how ad scheduling interacts with TikTok's delivery algorithm, creator live
The TikTok Shop ROAS Blind Spot in Refund Windows
In this episode of Performance Marketing with Fexingo, Lucas and Luna dig into a TikTok Shop ROAS blind spot that most DTC brands overlook in 2026: the refund window. They explain how TikTok Shop's 30-day return policy creates a 'phantom revenue' effect, where ad spend looks profitable on day one but the true cost of returns only shows up weeks later. Using a concrete example of a $50 product with
The TikTok Shop ROAS Blind Spot in Post-Purchase Upsells
Most DTC brands treat a TikTok Shop purchase as the finish line. But the real ROAS story often happens after checkout. In this episode, Lucas and Luna dig into the post-purchase upsell as a hidden driver of return on ad spend, using a concrete example: a skincare brand that added a bundle offer to their order confirmation page and saw a 12 percent lift in overall ROAS without spending an extra dol
The TikTok Shop ROAS Blind Spot in Live Shopping Checkout Friction
In this episode of Performance Marketing with Fexingo, Lucas and Luna dig into a blind spot that quietly erodes ROAS for TikTok Shop sellers: checkout friction inside live shopping sessions. It's not about the ad — it's about what happens after the tap. They walk through real numbers: how a three-second delay can slash conversion rates by up to 7 percent, and why 62 percent of viewers bounce when
The TikTok Shop ROAS Blind Spot in User Generated Content
In this episode, Lucas and Luna dig into a TikTok Shop ROAS blind spot that most DTC brands overlook in 2026: the silent drag of user-generated content (UGC) on return on ad spend. They start with a concrete example of a skincare brand whose ROAS looked healthy at 3.2, but after factoring in the cost of UGC production, licensing, and the hidden inefficiency of underperforming creator posts, the re
The ROAS Blind Spot in TikTok Shop Creator Affiliate Commissions
Lucas and Luna dig into a hidden ROAS killer on TikTok Shop in 2026: creator affiliate commissions. While most brands optimize ad spend on paid placements, the affiliate fee structure quietly eats margins and skews attribution. They walk through a concrete scenario where a $50 product with a 20 percent creator commission looks profitable in the ads manager but bleeds cash once you factor in return
The TikTok Shop ROAS Blind Spot in Creative Testing
In this episode, Lucas and Luna drill into a specific TikTok Shop ROAS blind spot that most DTC brands miss: the way creative testing can quietly distort your return on ad spend. They break down a real scenario where a brand's 'winning' ad was actually a statistical fluke, and explain why your creative testing cadence might be inflating your numbers. They cover the danger of over-optimizing to a s
The TikTok Shop ROAS Blind Spot in Creative Fatigue
In this episode, Lucas and Luna dive into the TikTok Shop ROAS blind spot that most DTC brands miss in 2026: creative fatigue. They explore how the algorithm's preference for fresh creative can artificially inflate ROAS early, then cause a sudden cliff as fatigue sets in. Using a hypothetical brand example, they break down the numbers: a campaign that saw 4.5x ROAS in week one, sliding to 1.8x by
The TikTok Shop ROAS Blind Spot in Ad Frequency
In this episode of Performance Marketing with Fexingo, Lucas and Luna tackle a ROAS blind spot that most DTC brands miss on TikTok Shop: ad frequency. They explain why showing the same creative to the same user too many times doesn't just annoy them — it quietly inflates your ROAS while killing your incrementality. Using a real-world example of a skincare brand that saw a 40 percent drop in ROAS w
The TikTok Shop ROAS Blind Spot in Branded Search
When TikTok Shop exploded in 2024, brands rushed in, saw huge ROAS numbers on day one, and scaled their ad spend. But Lucas and Luna dig into a quieter number: what happens when a brand starts to rank organically for its own brand search terms, and paid ads keep claiming credit for sales that were going to happen anyway. They unpack a specific DTC skincare brand that cut TikTok ad spend by 30 perc
The TikTok Shop ROAS Blind Spot Most DTC Brands Miss in 2026
Lucas and Luna drill into a costly blind spot in TikTok Shop advertising: ROAS that looks strong but quietly ignores the revenue brands actually keep after refunds, fees, and ad-influenced organic sales. Using a realistic DTC example, they show why a campaign reporting a 4.2 return on ad spend might actually be delivering less than 2.0 in real profit, and how the platform's attribution window and
The ROAS Blind Spot in Amazon PPC Same-Day Delivery
Amazon's same-day delivery promise is a powerful conversion driver, but it's quietly distorting your Amazon PPC ROAS. In this episode, Lucas and Luna unpack how same-day delivery eligibility changes shopper behavior at the exact moment your ad is served, why attribution windows miss the real impact, and how a failure to segment by delivery speed can make your best-performing campaigns look like lo
The ROAS Blind Spot in Amazon PPC Brand Defense
Lucas and Luna zero in on a costly blind spot in Amazon PPC: brand defense campaigns. They break down why the ROAS on your own brand terms is almost always a lie, how competitors can hijack your search results with Sponsored Brands and negative keywords, and why the real value isn't in the ad but in protecting your buy box and share of voice. Using a concrete example—a mid-size DTC skincare brand
The ROAS Blind Spot in Amazon PPC Subscriptions
Lucas and Luna uncover a hidden ROAS distortion in Amazon PPC: subscription programs. Many DTC brands running subscribe-and-save miss how subscription revenue inflates or deflates their reported return on ad spend. Lucas walks through a fictional skincare brand's numbers, showing how the first-purchase vs. recurring-revenue split changes what you should actually optimize for. They discuss why defa
The ROAS Blind Spot in Amazon PPC Ad Placement
In this episode of Performance Marketing with Fexingo, Lucas and Luna uncover the ROAS blind spot in Amazon PPC ad placement that most sellers overlook. While standard reports group placements like top-of-search, product pages, and rest-of-search, the real performance varies dramatically by device, category, and even time of day. The hosts break down why average ROAS across placements can mislead
The ROAS Blind Spot in Amazon PPC Post-Purchase Surveys
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
The ROAS Blind Spot in Amazon PPC Dayparting
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
Why Your Amazon PPC ROAS Hides the Real Cost of Returns
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 i
The Attribution Window Blind Spot in Amazon PPC That Wastes Ad Spend
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 wron
The ROAS Blind Spot in Amazon PPC Coupon Clips
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
The Google Ads Brand Lift ROAS Blind Spot
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 bra
The ROAS Blind Spot in Amazon PPC Bid by Placement
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
The Amazon PPC Budget Allocation Blind Spot That Kills ROAS
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 w
The Snapchat Ads ROAS Blind Spot Most DTC Brands Miss
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 i
The Google Ads Performance Max ROAS Blind Spot
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
The Pinterest Shopping Ads ROAS Blind Spot Most DTC Brands Miss
Most DTC brands see a 9x ROAS from Pinterest Shopping Ads and think it's a goldmine. But the platform's generous view-through attribution window and last-click model inflate the numbers dramatically. In this episode, we break down why a home decor brand's seemingly stellar Pinterest ROAS was actually a 2x incrementality story, and how to run proper holdout tests or use conversion lift studies to g
The Marginal ROAS Blind Spot That Kills Scale
Most marketers optimise for average ROAS — and that's exactly why their campaigns hit a wall. Lucas and Luna unpack the difference between average and marginal return on ad spend, using a real DTC brand that saw average ROAS of 3.0 but marginal ROAS of just 1.2 on its top-performing Facebook campaign. They explain why marginal ROAS is the number that actually determines scale, how to measure it wi
Why Default Attribution Windows Lie About ROAS
Lucas and Luna unpack a dangerous blind spot in performance marketing: the default attribution windows set by platforms like Meta, Google, and Amazon. Most advertisers look at their dashboard and see a 4.5x ROAS — but that number is often inflated by a 28-day click window or a 1-day view-through that counts accidental taps. By changing the window to 7-day click-only, one DTC brand saw their ROAS d
Your Retargeting ROAS Is Lying To You About Incrementality
In Episode 140, Lucas and Luna break down the biggest blind spot in performance marketing: retargeting attribution inflation. They use a 2025 Nielsen study showing a 22% gap between reported and true ROAS when incrementality measurement is absent. The hosts dig into why platform-side metrics overcredit retargeting, how frequency caps create false returns, and a simple free tool any brand can use t
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