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

Lucas and Luna dig into Meta's Conversions API (CAPI) — the server-side tracking solution that's become essential after iOS 14. They walk through how CAPI works alongside the Facebook pixel, why it recovers up to 30% of lost conversion signals, and real implementation gotchas like deduplication and event dedup. The episode centers on a case study of an e-commerce brand that saw a 22% lift in attributed ROAS after deploying CAPI with real-time event matching. No fluff, just practical mechanics for marketers navigating signal loss.

#ConversionsAPI #CAPI #FacebookAds #MetaMarketing #ServerSideTracking #SignalLoss #iOS14 #MarketingTechnology #AdAttribution #EcommerceMarketing #DigitalAdvertising #DataPrivacy #AdOps #EventMatching #Deduplication #FexingoBusiness #BusinessPodcast #MarketingPodcast

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In this episode of Facebook Ads with Fexingo, Lucas and Luna break down how advertisers can use geo-experiments to measure true incrementality from Facebook ad campaigns. They walk through a real-world case study of a DTC mattress company that ran a geo-based incrementality test across 20 DMAs, comparing test markets against control markets over an eight-week period. Lucas explains the methodological challenges — from selecting matched geographies to accounting for spillover effects — and why geo-experiments are becoming essential in a post-iOS 14.5 world where individual-level attribution is broken. Luna pushes back on whether smaller advertisers can afford the time and budget, and Lucas offers practical guidance on minimum spend thresholds and test duration. The episode also touches on how platforms like Facebook and Google have built their own geo-lift measurement tools, and why marketers should sanity-check vendor results with in-house analysis. By the end, listeners will understand how to design a simple A/B geo-test that gives cleaner incrementality data than last-click or multi-touch attribution models.

#FacebookAds #Fexingo #Marketing #DigitalAdvertising #Incrementality #GeoExperiment #Attribution #DTC #MattressCompany #DMAs #IOS14 #Measurement #LiftTest #AdEffectiveness #PaidSocial #MarketingMeasurement #MetaAds #BusinessPodcast

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Episode 115 of Facebook Ads with Fexingo dives into contextual targeting as a privacy-safe alternative to behavioral targeting. Lucas and Luna explain how Meta's AI analyzes page content, video topics, and user browsing context to serve ads without relying on personal data. They discuss real-world examples like a DTC luggage brand that tested contextual vs. interest-based campaigns and saw 18% lower cost per acquisition with comparable conversion rates. The episode also covers Topic Exclusion controls, the Content-Based Targeting API, and why contextual relevance is becoming a core strategy for advertisers post-iOS 14. If you've wondered how to target effectively when signals are scarce, this is your playbook.

#FacebookAds #ContextualTargeting #MetaMarketing #SignalLoss #PrivacyFirst #DigitalAdvertising #AdTargeting #MarketingStrategy #SocialMediaAds #AudienceTargeting #ContentBasedTargeting #TopicExclusion #AdTech #PaidSocial #FexingoBusiness #BusinessPodcast #Marketing #FacebookAdsWithFexingo

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In this episode, Lucas and Luna dive into how Facebook advertisers use predictive churn scoring to identify users likely to stop engaging before they disappear. They break down the mechanics: training a model on behavioral signals like declining session frequency, shrinking time-in-app, and reduced ad interactions, then feeding that score into Custom Audiences for targeted win-back campaigns. Lucas cites a case where a subscription meal-kit brand reduced churn by 18 percent by serving high-churn users a re-engagement offer within 48 hours of their score crossing the threshold. Luna questions the risk of over-targeting low-propensity users and whether the approach works for non-subscription businesses like e-commerce. The episode also covers how iOS 14 has made churn scoring harder by limiting conversion events, and the workaround of using aggregated event measurement with modeled churn proxies. A practical look at a retention tactic that flips Facebook from an acquisition engine into a loyalty tool.

#PredictiveChurnScoring #FacebookAds #RetentionMarketing #CustomerChurn #WinBackCampaigns #MachineLearning #CustomAudiences #iOS14 #AggregatedEventMeasurement #SubscriptionBusiness #Ecommerce #AdTargeting #MarketingStrategy #Meta #ChurnPrediction #Marketing #FexingoBusiness #BusinessPodcast

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In this episode, Lucas and Luna dive into how Facebook advertisers are adapting value-based lookalike audiences after the iOS 14 privacy changes. They break down the mechanics: instead of targeting users who simply look like past converters, value-based lookalikes prioritize users who resemble high-value customers—those with larger average order values or higher lifetime value. Lucas explains how this shifts the focus from volume to quality, using a case study of a DTC brand that tested a 5% value-based lookalike against a standard 5% lookalike and saw a 22% higher return on ad spend. They discuss the data requirements: at least 100 conversion events from a 30-day window, and the importance of the conversion value field in Meta's pixel. Luna questions whether smaller advertisers with thin data can still make it work, and Lucas outlines workarounds like using a proxy value such as order value tiers. The episode also touches on how this strategy aligns with Meta's algorithmic shift toward efficiency in a post-iOS world, and why brands with clear customer value segmentation benefit most. No fluff, just tactical knowledge for paid social marketers.

#FacebookAds #MetaMarketing #ValueBasedLookalikes #iOS14 #PaidSocial #AudienceTargeting #DTC #LTV #ROAS #MarketingStrategy #ConversionValue #Pixel #DataPrivacy #LookalikeAudiences #CustomerValue #BusinessPodcast #FexingoBusiness #Marketing

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In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into multi-touch attribution—the model that assigns credit across every ad interaction, not just the last click. They break down why last-click attribution gives a distorted view, using a real-world example of a DTC sneaker brand that saw a 22% lower cost per acquisition after switching to a time-decay model. The hosts explain the four common models (linear, time-decay, U-shaped, and data-driven), how Facebook's internal attribution works within its walled garden, and why cross-platform measurement remains a challenge. They also discuss practical steps for advertisers: setting up Facebook's custom attribution windows, importing offline conversions, and combining platform data with third-party tools like Northbeam or Rockerbox. If you're running Facebook ads and relying on last-click, this episode will change how you think about campaign performance.

#FacebookAds #MultiTouchAttribution #MarketingAttribution #LastClick #DTCAdvertising #SneakerBrand #FacebookAttribution #TimeDecay #DataDrivenAttribution #UTouchModel #LinearAttribution #AdPerformance #CostPerAcquisition #Northbeam #Rockerbox #ConversionTracking #MarketingAnalytics #FexingoBusiness

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Lucas and Luna dive into how Facebook Ads now infer purchase intent from user behavior patterns rather than explicit declarations. They break down the shift from self-reported interests to predictive behavioral signals, using concrete examples like the furniture retailer who saw 40% lower cost-per-acquisition by targeting people who watched three or more product videos in a week instead of those who clicked 'interested in home decor'. The episode explores the machine learning models behind inferred intent, the trade-offs in accuracy vs. scale, and how advertisers can test these signals. A practical 101 for marketers navigating Facebook's post-iOS attribution landscape.

#FacebookAds #MetaMarketing #InferredIntent #PredictiveTargeting #BehavioralSignals #DigitalAdvertising #PaidSocial #MachineLearning #ConversionOptimization #AudienceTargeting #AdTech #MarketingStrategy #CPAReduction #SocialMediaAds #DataDrivenMarketing #PrivacyFirstAdvertising #FexingoBusiness #BusinessPodcast

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In this episode, Lucas and Luna explore how Facebook advertisers are using audio branding — custom jingles, voice cues, and sound logos — to boost ad recall and brand recognition in a silent-by-default feed. They discuss a 2025 study from Nielsen that found audio-enhanced ads on social platforms increase purchase intent by 18 percent, and break down how a direct-to-consumer mattress brand called Bear Mattress used a 3-second sonic mnemonic to lift unaided recall by 34 percent. The hosts also cover Meta's new 'Sound Library' for advertisers, the psychology of earworms in short-form video, and practical tips for testing audio in Facebook's dynamic creative tool. No prior episode has focused on sonic branding specifically. This episode is a must-listen for any marketer looking to stand out in a crowded, fast-scrolling environment.

#AudioBranding #SonicRecall #FacebookAds #MetaMarketing #SocialMediaMarketing #SoundLogo #Jingle #BearMattress #NielsenStudy #AdRecall #MarketingTips #DynamicCreative #SoundLibrary #Earworm #BrandRecognition #Marketing #FexingoBusiness #BusinessPodcast

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In this episode of Facebook Ads with Fexingo, Lucas and Luna explore how advertisers use retention cohort analysis on Facebook to predict customer lifetime value more accurately. They break down a case study from a direct-to-consumer mattress brand that shifted from last-click attribution to cohort-based optimization, cutting customer acquisition cost by 22 percent over six months. The hosts discuss how to set up retention columns in Ads Manager, interpret day-7 and day-30 purchase curves, and adjust bidding strategies based on early retention signals. They also touch on the limitations of iOS-mitigated data and how tools like Facebook's Conversions API help fill the gap. A practical episode for any paid-social manager tired of optimizing for first-purchase vanity metrics.

#FacebookAds #RetentionCohorts #LifetimeValue #LTVPrediction #PaidSocial #DTCBrands #CACOptimization #ConversionsAPI #MetaAds #AdTargeting #MarketingAnalytics #CohortAnalysis #CustomerRetention #DirectToConsumer #FexingoBusiness #BusinessPodcast #MarketingPodcast #FacebookAdsWithFexingo

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In this episode, Lucas and Luna dive into Facebook's live shopping feature, exploring how brands like Sephora and Tarte use real-time video streams to drive immediate purchases. They discuss the technical setup, audience engagement metrics, and conversion rates compared to standard ads. Lucas shares data from a 2025 benchmark study showing 3x higher conversion rates for live shopping events versus traditional feed ads. Luna questions whether the format's success is sustainable post-pandemic. The episode also touches on how live shopping integrates with Facebook Shops and dynamic product catalogs for seamless checkout. The hosts debate if this is a revival of QVC for the social media age or a genuinely new retail channel.

#FacebookAds #LiveShopping #SocialCommerce #MetaMarketing #RealTimeConversion #Sephora #Tarte #FacebookShops #DynamicProductAds #MarketingPodcast #SocialMediaStrategy #Ecommerce #CustomerEngagement #ConversionRate #DigitalMarketing #FexingoBusiness #BusinessPodcast #Marketing

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