Facebook Ads with Fexingo: Meta Marketing, Audience Targeting, and Social Ad Campaigns

Facebook Ads with Fexingo: Meta Marketing, Audience Targeting, and Social Ad Campaigns podcast cover
Fexingo Marketing

Facebook Ads with Fexingo: Meta Marketing, Audience Targeting, and Social Ad Campaigns

Facebook Ads with Fexingo is the show where Lucas and Luna cut through the noise of social media marketing to focus on the actual mechanics of Meta's advertising platform. Each episode centers on a specific tactical question: how to structure a conversion campaign for a B2B SaaS product with a $50 cost-per-acquisition target, or the real-world implications of Apple's iOS 14 ATT policy on audience targeting accuracy. Lucas, with his journalist's rigor, anchors every discussion in hard metrics — click-through rates, cost-per-thousand impressions, return on ad spend — while Luna, as the engaged questioner, pushes for the practical trade-offs: when does lookalike audience saturation hit? How do you balance broad targeting against detailed demographic segmentation in a $10,000 monthly budget? The show serves the media buyer, the startup marketer, and the e-commerce operations lead who need more than surface-level tips — they need the logic behind the bid strategy, the ad creative test structure, and the attribution model choices. Every episode ends with a tension: given a hypothetical $30,000 budget for a new direct-to-consumer brand, what is the single most important lever to pull first — and why might you be wrong?

#FacebookAds#MetaMarketing#AudienceTargeting#SocialAdCampaigns#PaidSocial#DigitalAdvertising#AdTech#ConversionOptimization#ROI#MarketingMetrics#Retargeting#LookalikeAudience#IOS14#AdCreativeTesting#Marketing#FexingoBusiness#BusinessPodcast#MarketingPodcast

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Episodes

Latest 50 of 222 episodes

How Meta Ads Use Creative As Data

Oct 19, 2026 · 10:54

We break down how Meta's algorithm treats your ad creative as the primary targeting signal, shifting budget allocation away from traditional audience segments. Lucas walks through a specific case where swapping video formats drove a forty percent drop in cost per acquisition by letting the machine learn who responds to visual cues rather than demographic filters. Luna explores the operational shift this requires for marketing teams moving from manual segmentation to creative testing. The…

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How Meta Ads Use Creative As Data

Oct 18, 2026 · 10:28

Meta has quietly shifted its advertising engine from audience targeting to creative testing, making your ad content the primary signal for optimization. This episode examines how algorithms now prioritize creative freshness and engagement signals over granular demographic filters, fundamentally changing how brands should structure their campaigns. We explore why broad targeting paired with diverse creative assets outperforms narrow segmentation in today's privacy-first landscape. #MetaAds…

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Meta Ads And The Power Of Ad Fatigue

Oct 17, 2026 · 12:26

We break down the counterintuitive reality of ad fatigue in Meta campaigns. Most marketers refresh creatives weekly, but data suggests creative decay happens faster. We examine a specific case where extending creative life by just ten days lowered cost per acquisition by eighteen percent. Lucas and Luna discuss why audiences tune out novelty too quickly and how to structure ad sets for longevity rather than constant churn. This is a practical look at pacing, frequency caps, and the hidden…

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Why Meta Ads Spend More on Broad Audiences

Oct 16, 2026 · 9:12

We examine why top-performing Meta ad campaigns are abandoning narrow interest targeting in favor of broad audiences and letting AI do the heavy lifting. Using a concrete case from a direct-to-consumer brand that saw its cost per acquisition drop by thirty percent after removing age and gender filters, we explain the mechanics of how Meta's delivery system uses creative signals to find buyers rather than demographic lists. This is not about giving up control but trusting the platform's machine…

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Why Meta Ads Cost More Without Changing Targeting

Oct 13, 2026 · 12:09

Lucas and Luna dissect the rising cost of customer acquisition on Meta despite unchanged audience targeting. They examine how platform-wide pricing inflation and creative fatigue are reshaping small business margins in October 2026. The conversation focuses on a specific case: a mid-sized e-commerce brand that saw their cost per purchase double while their audience size remained static. Lucas breaks down the mechanics of auction pressure and bid shading, while Luna explores the counterintuitive…

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Why Meta Ads Ignore Your Creative Context

Oct 11, 2026 · 11:11

Meta’s ad algorithms have spent years mastering who sees your ads, but in October 2026, the real bottleneck is often where they see them. This episode explores how creative context—the visual and textual environment surrounding your ad—impacts performance when AI-driven targeting hits a wall. We break down a specific case study of a direct-to-consumer brand that saw a forty percent lift in conversion rates simply by aligning their ad creatives with high-intent content clusters rather than broad…

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How Meta Ads Learn From Offline Behavior

Oct 10, 2026 · 11:27

Meta has long struggled to connect the dots between what people see online and what they buy in physical stores. This episode examines how offline conversion tracking is reshaping ad targeting for brick-and-mortar retailers and hybrid brands. We look at the mechanics of hashed transaction data, the role of loyalty programs, and why some small businesses are seeing lift while others face attribution blind spots. Lucas and Luna break down the practical steps for capturing store visits, measuring…

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Why Meta Ads Fail With Offline First Data

Oct 9, 2026 · 9:57

Most advertisers assume Meta's algorithm learns from clicks and views. But in Q3 of 2026, a leading direct-to-consumer furniture brand discovered their biggest conversion leak wasn't creative or bid strategy—it was offline data hygiene. We examine how mismatched first-party customer lists are silently killing return on ad spend, why fuzzy matching fails at scale, and the specific audit steps required to align digital targeting with physical sales records before the next quarter ends. #MetaAds…

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Why Meta Ads Fail on Mobile Micro-Moments

Oct 8, 2026 · 9:08

We break down the hidden friction in mobile ad experiences that kills conversion rates despite strong creative. Using a specific case of a DTC brand losing thirty percent of users at the checkout step, we explore how page load speed and form fields silently sabotage ROI. Lucas walks through the data from a recent quarter showing that even one extra second of load time can drop conversions by seven percent. Luna challenges the assumption that creative is the only lever, pointing to technical…

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Why Meta's AI Optimizes For Engagement Not Sales

Oct 7, 2026 · 11:10

Meta’s advertising algorithm has shifted from matching ads to purchase intent toward maximizing engagement time, creating a disconnect for direct-response advertisers. Lucas and Luna examine how this structural change impacts conversion rates in late October 2026. They break down the specific mechanics of engagement-based bidding and why traditional attribution models are failing. The episode offers concrete strategies for realigning creative assets with the platform’s new optimization goals…

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Why Meta Ads Ignore Your Best Customers

Oct 6, 2026 · 9:37

Meta’s AI optimization has a blind spot that quietly erodes profitability for many advertisers. We look at how the platform’s focus on immediate conversion metrics can deprioritize high-value customer acquisition, leading to a cycle of diminishing returns. Lucas and Luna break down the specific mechanics of this bias, using data from mid-2026 campaigns to show why your best customers are often being filtered out by algorithms trained to chase volume over value. #FexingoBusiness #BusinessPodcast…

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The Hidden Cost of Meta's AI Targeting

Oct 5, 2026 · 9:49

Meta’s advertising engine has shifted from audience targeting to outcome-based optimization, using broad creative inputs and machine learning to find buyers. This episode explores the 'creative as targeting' model, where ad performance relies less on demographic filters and more on the algorithm’s ability to interpret visual and textual signals in real time. We look at how this shift impacts small businesses, the rise of contextual signals, and why granular audience segments are becoming…

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Why Meta’s AI Optimization Breaks Small Advertiser Math

Oct 4, 2026 · 9:07

Small advertisers often assume Meta’s automated bidding simply finds the cheapest clicks, but recent data suggests the algorithm prioritizes volume and engagement signals over pure cost efficiency. This episode examines how the shift toward broad audience targeting and value-based optimization has created a hidden tax for brands with limited daily budgets. We look at the specific mechanics of how Meta’s delivery system allocates spend across auction tiers and why a five hundred dollar daily…

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Meta Ads Attribution Blind Spots

Oct 3, 2026 · 10:42

We explore why Meta's algorithmic targeting often misaligns with your actual customer acquisition goals, leading to wasted spend on low-intent audiences. This episode dissects the 'attribution blind spot' where optimized conversions fail to deliver profitable returns because the platform prioritizes volume over value. We examine a specific case study of a mid-sized e-commerce brand that saw their return on ad spend drop despite increasing budget efficiency, revealing how broad audience…

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How Meta Ads Handle Post-iOS Privacy Data Loss

Oct 2, 2026 · 9:02

We examine the structural shift in Meta's ad ecosystem following the iOS 14.5 privacy updates that stripped away third-party cookie tracking. Lucas and Luna break down how the platform pivoted from granular audience targeting to broad, AI-driven optimization using first-party data signals. We look at specific case studies of brands that successfully adapted by focusing on creative testing rather than micro-segmentation, and discuss the new reality of measuring return on ad spend in a…

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Why Meta Ads Fail Without Creative Refresh

Oct 1, 2026 · 8:29

Most advertisers treat their Facebook ad creative like a set-and-forget asset, but the data from October 2026 shows that creative fatigue sets in faster than ever. We break down the specific mechanics of how Meta's algorithm penalizes stale visuals through increased frequency and higher cost per acquisition. Lucas and Luna explore why refreshing your hooks every two weeks is no longer optional for sustainable growth, using concrete examples from mid-market e-commerce brands that saw twenty…

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Meta Ads And The Hidden Cost of Micro-Frictions

Sep 30, 2026 · 7:29

We are looking at how Meta's auction mechanics reward friction. When a user clicks an ad, every extra second or click to reach the purchase page is a leak in the funnel. This episode examines why direct-response marketers must prioritize landing page speed and single-step checkout flows over broad audience targeting. We use a specific DTC skincare brand that doubled conversion rates simply by removing two form fields from their post-click experience. The lesson is clear: your creative gets the…

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The Hidden Cost of Meta's AI Targeting

Sep 29, 2026 · 10:36

We break down why Meta’s Advantage+ audience signals are quietly reshaping your customer acquisition costs. Using a specific case from a mid-market DTC brand, we show how shifting from manual interest targeting to broad AI-driven delivery changed their return on ad spend. It is not about letting the algorithm do everything, but understanding where the efficiency gains actually come from and where they create hidden waste in September 2026. #MetaAds #AdvantagePlus #DigitalMarketing…

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How Meta Ads Predict Your Next Purchase

Sep 28, 2026 · 12:48

We look at how Meta’s machine learning engine uses latent interest signals to target buyers before they search. Lucas breaks down the 'latent audience' concept using a specific case study of a boutique skincare brand that increased conversions by twenty-two percent simply by shifting from behavioral targeting to broad creative testing. Luna challenges whether this predictive power creates an echo chamber for consumers. We explore the mechanics of how ad algorithms infer intent from engagement…

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Why Meta Ads Ignore Your Best Customers

Sep 27, 2026 · 12:20

We talk about why your highest-value customers are being ignored by Meta's algorithm. Lucas and Luna explore the zero data trap, offline conversions, and how broad targeting fails when you don't feed it enough signal. This episode is Episode 203 of the Fexingo Business podcast network. #FexingoBusiness #BusinessPodcast #MetaAds #FacebookAdvertising #DigitalMarketing #AudienceTargeting #AdAlgorithm #ConversionTracking #OfflineConversions #BroadTargeting #DataStrategy #MarketingTech #PaidSocial…

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Meta Ads Are Ignoring Your Best Customers

Sep 26, 2026 · 11:46

We look at why Meta’s algorithmic optimization often sideliness high-value customer segments in paid social campaigns. Lucas and Luna discuss the specific mechanics of how broad targeting and automated bidding can deprioritize your most profitable audiences. We examine a concrete case involving a direct-to-consumer brand that saw conversion rates drop by thirty percent after shifting to full automation. The conversation covers how to adjust creative signals, refine offline event sets, and…

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Why Meta Ads Fail With Offline First Data

Sep 25, 2026 · 6:54

Meta’s shift to offline-first attribution is reshaping how marketers measure success. We examine why connecting store visits and call data often leads to wasted spend, using a concrete example of a retail chain’s failed pilot program. Lucas and Luna break down the technical friction in ID-matching, the illusion of incremental lift, and the practical steps to validate whether your offline data is actually improving campaign performance or just feeding the black box. #MetaAds #OfflineConversions…

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How Meta Learned To Read Your Mind

Sep 24, 2026 · 9:47

We break down the hidden mechanics of Meta's Advantage+ shopping campaigns and how their machine learning models now prioritize predictive intent over manual audience targeting. Using a specific DTC brand case study that saw a forty percent lift in return on ad spend by removing all constraints, we explore why broad targeting is no longer just a suggestion but the only viable path forward in September twenty twenty six. #MetaAds #AdvantagePlus #DigitalMarketing #MachineLearning #PaidSocial…

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How Meta Ads Use Contextual Signals To Replace Cookies

Sep 23, 2026 · 8:17

Lucas and Luna examine how Meta has shifted from identity-based targeting to contextual signals in the wake of privacy changes. They look at a specific case study involving a direct-to-consumer apparel brand that improved its return on ad spend by leveraging content classification rather than user data. The discussion covers how algorithms now match ads to the environment they appear in, not just the person viewing them. With the S&P 500 holding steady in September 2026, this structural shift…

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Why Meta Ads Fail With Broad Audiences

Sep 22, 2026 · 9:27

Most marketers blame Meta’s algorithm for wasting budget, but the real issue is often how they define success. In this episode, Lucas and Luna dissect the shift from direct-response optimization to brand-building metrics in paid social campaigns. We look at why broad targeting works when you give the system time to learn, using a specific case of a mid-sized DTC retailer that stopped chasing immediate sales and started optimizing for view-through conversions. The conversation covers the…

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Why Your Meta Ads Ignore High Value Customers

Sep 21, 2026 · 9:50

We break down the counterintuitive reality of Meta's algorithmic targeting: why broad, open-ended ad sets often outperform narrow, high-value customer lists. Lucas and Luna explore the data behind 'audience expansion' and how ignoring your best customers can actually improve return on ad spend in September 2026. Learn how to structure campaigns that let the machine find buyers you didn't know existed. #MetaAds #FacebookAdvertising #AudienceTargeting #AlgorithmOptimization…

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Meta Ads And The Creative Testing Trap

Sep 20, 2026 · 11:50

Most advertisers waste budget by treating Meta’s algorithm like a static search engine. Lucas and Luna break down why scaling creative too fast kills performance, using a specific case of a DTC brand that lost forty percent of its ROAS by promoting winners before the learning phase stabilized. They explore the three-week testing window, the difference between creative fatigue and audience saturation, and how to structure ad sets so the machine actually learns what works. If you are still…

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Why Meta Ads Fail Without Offline Conversions

Sep 19, 2026 · 10:35

We dissect the hidden cost of digital-only attribution in retail and service businesses. Using a concrete case study of a regional home services provider, we show how linking in-store sales to ad spend reveals true ROI. If you're guessing your return on ad spend based only on online clicks, this episode explains why you might be overpaying for traffic that never converts. #MetaAds #OfflineConversions #AttributionModel #RetailMarketing #DigitalStrategy #BusinessGrowth #AdSpend #CustomerJourney…

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Meta Ads And The Zero Data Trap

Sep 18, 2026 · 12:54

Most advertisers treat Meta’s broad targeting as a black box, assuming the algorithm magically finds buyers. In this episode, Lucas and Luna dissect why that assumption fails when first-party data is thin. Using a specific case of a mid-market DTC brand that saw thirty percent drop in ROAS after shifting from detailed interest targeting to pure broad, they explain how the lack of initial signal causes Meta to waste budget on low-intent users before the learning phase stabilizes. We break down…

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How Meta Optimizes Your Ad Spend Without You

Sep 17, 2026 · 8:03

We break down the hidden mechanics of Meta’s automated bidding algorithms and how they prioritize high-value conversions over simple clicks. Using a concrete example from a mid-sized DTC brand, we explore why broad targeting often outperforms narrow segments in late 2025 and early 2026. You will learn how to read your attribution windows correctly and stop fighting the platform’s machine learning phase. This is not about hacking the system but understanding its incentives. #MetaAds…

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How Meta Ads Use Offline Conversions To Close The Loop

Sep 16, 2026 · 9:20

Most advertisers treat Facebook and Instagram as upper-funnel awareness tools, but the real growth engine is often in-store or on-phone. We look at how connecting offline sales data back to ad clicks creates a feedback loop that improves targeting accuracy. By mapping digital spend to physical revenue, brands can finally see which social ads actually drive foot traffic and high-value purchases. #FexingoBusiness #BusinessPodcast #MetaAds #OfflineConversions #RetailMarketing #AttributionModel…

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Why Meta Ads Fail Without Offline Conversions

Sep 15, 2026 · 9:49

Meta’s ad algorithm has become so sophisticated at finding online buyers that it often ignores your highest-value offline customers. This episode explores why Facebook Ads are effectively blind to in-store purchases, leading brands to overpay for low-intent digital traffic while missing the people who actually drive their revenue. We break down how offline conversion tracking works, why the gap between online ads and offline sales creates a distortion in audience targeting, and what smart…

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How Meta Ads Filter Fraudulent Traffic

Sep 14, 2026 · 7:59

Meta has quietly deployed an aggressive fraud detection layer that silently kills ad accounts before they ever reach the auction. In this episode, we explore how the platform’s internal signal filtering works, why your cost-per-acquisition spikes overnight, and what business owners must do to protect their campaigns from being flagged as invalid traffic. We look at specific data points like click velocity, device fingerprints, and IP reputation scores that trigger these silent bans.…

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Why Your Meta Ads Ignore High Value Customers

Sep 13, 2026 · 13:19

We investigate why Facebook ads often fail to serve your best customers, focusing on the mechanics of audience exclusion and creative fatigue. Using a case study of a direct-to-consumer brand that saw a forty percent drop in repeat purchase rates, we break down how broad targeting and algorithmic learning can inadvertently bury your loyal buyers. This episode explains the technical reasons behind this phenomenon and offers three specific fixes for Q3 2026. #MetaAds #FacebookMarketing…

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Why Facebook Ads Fail When They Ignore Offline Conversions

Sep 12, 2026 · 12:36

We dive into the messy, high-stakes world of offline conversion tracking and why Meta’s algorithms are struggling to connect your digital ad spend with real-world store purchases. Using a specific case study from a national retail chain that saw a thirty percent lift in attributed sales after fixing their match rates, we explore how location data, first-party customer lists, and incremental lift studies can rescue your return on ad spend. If you are running local awareness or catalog ads…

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Why Facebook Ads Ignore Your Best Customers

Sep 11, 2026 · 8:45

We dig into why Meta’s delivery algorithm often sidelines your highest-value audiences despite clear signals of profitability. Using a recent case study from a mid-sized DTC brand, we explore how broad targeting and machine learning optimization can inadvertently deprioritize loyal buyers in favor of cold acquisition. We break down the mechanics of audience suppression, explain the role of conversion value optimization, and offer three tactical fixes to ensure your ad spend rewards retention…

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Meta Ad Fatigue And Creative Refresh Cycles

Sep 10, 2026 · 11:35

Meta’s ad delivery systems are optimizing for frequency, but creative fatigue is the silent killer of return on investment. We break down why your winning ads decay faster than ever in late 2025 and how to structure a refresh cadence that keeps cost per acquisition stable. Lucas walks through the data from a mid-market e-commerce brand that cut their churn by twenty percent simply by changing their thumbnail strategy every ten days instead of thirty. Luna challenges the conventional wisdom that…

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Why Facebook Ads Are Ignoring Your Best Customers

Sep 9, 2026 · 12:27

Meta’s algorithm is quietly deprioritizing your highest-value customers because it mistakes loyalty for low engagement. We break down the specific mechanics of how Facebook’s engagement ranking system penalizes repeat buyers, why your ROAS looks healthy but your CAC is rising, and the counter-intuitive targeting adjustments Lucas uses to reclaim that lost volume. This is not about better creatives or lower bids—it’s about understanding the hidden cost of being too good at your job.…

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How Meta Ads Use Broad Targeting To Find Buyers

Sep 8, 2026 · 10:59

We explore why broad targeting often outperforms narrow interest stacks in Meta's current auction environment. Using a recent case where a DTC brand doubled their ROAS by removing interests, we break down how algorithmic delivery works when you give the system room to breathe. We look at the data behind signal density and creative-led acquisition. #MetaAds #BroadTargeting #PaidSocial #DigitalMarketing #FacebookAds #AlgorithmicDelivery #ConversionOptimization #DTCBrands #ROAS #CreativeStrategy…

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How Meta Ads Handle Duplicate Audiences

Sep 7, 2026 · 10:49

We break down why Meta’s deduplication logic often works against you, not for you. When two ad sets target the same people, Meta doesn’t split spend evenly—it lets them fight for dominance in real-time. We look at a specific case where a DTC brand lost forty percent of its efficiency because it didn’t understand how overlapping audiences trigger internal competition. You’ll learn how to structure your campaigns so Meta’s algorithm serves the right creative to the right person without…

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How Meta Ad Sets Handle Duplicate Audiences

Sep 6, 2026 · 13:09

Most advertisers panic when Meta flags duplicate audiences, assuming their data is broken or their budget is being wasted. In this episode of Facebook Ads with Fexingo, Lucas and Luna break down why audience overlap is actually a feature, not a bug, in Meta's delivery system. We look at the specific mechanics of how overlapping user profiles trigger bid competition within your own account, often leading to higher costs per result rather than cleaner targeting. Using a concrete example from a…

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How Facebook Ads Predict Your Next Purchase

Sep 5, 2026 · 10:25

We dive into Meta’s purchase intent prediction engine and why your ad budget is tied to behavioral signals rather than declared interests. Lucas breaks down the specific data points that trigger high-intent targeting, while Luna challenges the privacy implications of this granular tracking. We look at a real-world example of how a mid-sized DTC brand shifted from interest-based targeting to behavior-based modeling to improve their return on ad spend. This episode explores the mechanics of…

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Why Facebook Ads Fail When They Ignore Offline Conversions

Sep 4, 2026 · 11:05

Most marketers treat Meta ads as a closed-loop digital system, ignoring the messy reality of offline purchases. This episode examines how connecting online ad clicks to in-store sales or phone calls changes your return on investment. We look at specific data from retail brands that saw their attributed value double by implementing offline event sets. The discussion covers the technical setup, the attribution lag, and why ignoring brick-and-mortar behavior leaves money on the table. #MetaAds…

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How Facebook Ads Learn From Your Competitors

Sep 3, 2026 · 7:53

We break down Meta’s competitive targeting features, specifically the Lookalike Audience from competitors and the Advantage+ placement strategy. Lucas explains how to identify direct rivals in your vertical and build custom audiences based on their followers or engagers. Luna challenges whether this approach leads to cheap clicks or actual conversions, citing a case where retargeting engaged users from a rival brand’s viral post yielded higher ROAS than broad interest targeting. We discuss the…

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How Meta Tracks Cross-Device Identity Without Cookies

Sep 2, 2026 · 10:59

We dig into the mechanics of Meta's identity resolution, specifically how they stitch together user journeys across mobile devices and desktop browsers using hashed emails and device fingerprints. With Apple’s ATT framework still reshaping attribution, we explore why first-party data collection at the point of sale is no longer optional for DTC brands. We look at a specific case study where a mid-sized apparel retailer improved their ROAS by twenty percent simply by shifting from cookie-based…

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How Meta Measures Ad Blindness and What It Costs You

Sep 1, 2026 · 8:54

Meta tracks a metric called ad blindness, which occurs when users see your ads but their eyes never actually register the creative. This episode breaks down why this invisible drop-off happens, how it skews your conversion data, and the specific structural changes you can make to your ad set architecture to force genuine attention rather than passive scrolling. We look at the mechanics of banner blindness in digital feeds and why traditional frequency caps might be hiding the real problem from…

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How Meta Uses Engagement Scoring to Rank Your Ads

Aug 31, 2026 · 12:16

In this episode, Lucas and Luna dive into Meta's engagement scoring system—the hidden layer that decides which ads get shown, to whom, and how often. They break down how signals like comments, shares, and saves feed into an auction that balances relevance, predicted actions, and advertiser bids. Using the example of a mid-sized e-commerce brand, they explain why a low-engagement ad can still win when it targets the right niche, and why engagement scoring is shifting toward longer, more…

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How Meta Uses Value-Based Lookalikes

Aug 30, 2026 · 9:54

In this episode of Facebook Ads with Fexingo, Lucas and Luna break down how Meta's value-based lookalike audiences differ from standard lookalikes—and why they're a game changer for advertisers who want more than just 'similar people.' Using a fresh example from the travel industry, they walk through the setup, the data requirements, and the trade-offs, like needing at least 100 conversions in a 30-day window. They discuss how Meta's algorithm prioritizes high-value users over merely similar…

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How Meta Uses Retargeting to Recover Abandoned Carts

Aug 29, 2026 · 9:57

In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into one of the most powerful tools in a marketer's arsenal: retargeting. They break down how Meta's ad system identifies people who have shown interest—like visiting your site or adding items to a cart—and then serves them tailored ads to bring them back. Using the example of a mid-sized e-commerce brand that recovered 15% of abandoned carts with a well-structured retargeting campaign, they explain the mechanics behind custom…

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How Facebook Ads Read Your Audience Interests

Aug 28, 2026 · 6:16

In this episode of Facebook Ads with Fexingo, Lucas and Luna explore how Meta's ad system infers your audience's interests from their behavior — not just their stated preferences. They break down the difference between explicit and implicit signals, using a concrete example of a fitness brand that saw a 30 percent drop in cost per acquisition after shifting from interest-based targeting to behavior-based lookalikes. The conversation covers how Meta's machine learning weighs actions like video…

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