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

In this episode, Lucas and Luna dive into how negative keyword targeting works inside Facebook Ads Manager — a tactic borrowed from search advertising but adapted for social feeds. Using a real example from a DTC activewear brand that cut cost per acquisition by 22% in Q1 2026, they explain how excluding irrelevant terms (like 'cheap' or 'used') from audience signals prevents wasted spend. They also discuss the nuance of negative keyword lists at the campaign versus ad set level, how Facebook's AI interprets exclusion signals, and why this matters more now that Advantage Plus campaigns auto-expand targeting. Specific, tactical, and immediately useful for any paid social manager.

#FacebookAds #NegativeKeywords #MetaMarketing #AudienceTargeting #PaidSocial #AdSpendOptimization #DTCAdvertising #CostPerAcquisition #AdvantagePlus #AdManager #SearchAdvertising #SocialAdCampaigns #MarketingStrategy #BrandSafety #ROI #FexingoBusiness #BusinessPodcast #Marketing

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In this episode, Lucas and Luna explore how Facebook's lookalike audience targeting has evolved since Apple's iOS 14.5 privacy changes. They break down the shift from 1% seed-based lookalikes to broader 3-5% models, and how marketers now combine first-party data with Meta's Advantage+ algorithms. Using the example of a mid-size DTC brand that rebuilt its acquisition funnel, they explain why seed quality matters more than seed size, how to test multiple lookalike tiers, and why the old '1% is always best' rule no longer applies. The hosts also discuss the role of conversion value rules in feeding better signals into lookalike models, and how the deprecation of detailed targeting exclusions affects audience overlap. A practical guide for any marketer running Facebook campaigns in mid-2026.

#FacebookAds #LookalikeAudiences #MetaMarketing #iOS14 #PrivacyChanges #AudienceTargeting #FirstPartyData #AdvantagePlus #DTC #DigitalMarketing #SocialAdCampaigns #ConversionValueRules #AudienceOverlap #SeedAudience #AdFunnel #FexingoBusiness #BusinessPodcast #Marketing

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Episode 75 of Facebook Ads with Fexingo dives into one of the most requested topics from marketers: how to use Facebook's new customer acquisition goal to find buyers who have never purchased from you before. Lucas and Luna break down Meta's 2026 update that separates new-customer bidding from repeat-purchase optimization, using real numbers from a DTC apparel brand that cut cost-per-first-order by 28 percent. They explain the difference between 'value' and 'new-buyer-value' conversion rules, how the algorithm handles cold audiences differently when the goal is first-time purchase, and why many advertisers accidentally retarget existing customers even when they think they are prospecting. The episode closes with a practical checklist for setting up a clean acquisition campaign without overlapping with retention traffic. No fluff, just tactical insight you can apply this week.

#FacebookAds #NewCustomerAcquisition #MetaMarketing #DTCAdvertising #ConversionOptimization #SocialMediaAds #AudienceTargeting #Prospecting #AdSpendEfficiency #CustomerAcquisitionCost #EcommerceMarketing #DigitalAdvertising #MarketingStrategy #BusinessPodcast #FexingoBusiness #PaidSocial #FacebookAds2026 #RetargetingVsProspecting

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Ever bought something because a friend liked it on Facebook? In this episode, Lucas and Luna explore how Meta uses peer-to-peer social proof signals — friend likes, shares, and comments — to target ads more effectively. They break down the mechanics of social context targeting, how it differs from lookalike audiences, and why it can outperform traditional interest-based targeting. With real examples from fashion and DTC brands, they show how advertisers can leverage social proof without creeping users out. Plus, a look at the privacy implications and how iOS 14.5 changed the game. By the end, you'll understand why that 'friend liked this' ad is so hard to ignore — and how to use it ethically in your own campaigns.

#FacebookAds #SocialProof #MetaMarketing #AudienceTargeting #SocialContext #PeerInfluence #AdTargeting #DigitalMarketing #FashionBrands #DTC #Privacy #iOS145 #FexingoBusiness #BusinessPodcast #Marketing #SocialMediaAds #AdStrategy #Meta

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Lucas and Luna dive into Facebook's seasonal trend prediction engine, a machine-learning layer that anticipates demand shifts based on historical data, weather patterns, and cultural signals. They unpack how a small DTC apparel brand used this tool in early 2026 to prescale inventory and ad budget ahead of an unseasonably warm February, boosting ROAS by 30 percent compared to the prior year. The conversation covers how the system works under the hood, why it matters for mid-sized advertisers, and the risks of over-relying on predictive models. No fluff, just a concrete case with numbers you can cite.

#FacebookAds #MetaMarketing #SeasonalTrendPrediction #AudienceTargeting #SocialAdCampaigns #PredictiveAnalytics #MachineLearning #DTCBrands #AdBudgeting #ROAS #InventoryManagement #MarketingStrategy #DataDrivenMarketing #FexingoBusiness #BusinessPodcast #Marketing #Advertising #Meta

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In this episode of Facebook Ads with Fexingo, Lucas and Luna explore dayparting — the strategy of scheduling Facebook ad delivery to specific hours or days. Using a real example from a DTC coffee brand that shifted its campaign to early morning windows, they explain how dayparting works inside Meta's ad manager, why it matters for conversion rates, and how to avoid common pitfalls like over-restricting delivery. Lucas walks through the setup process, including the new time-zone alignment feature added in early 2026, and Luna challenges the assumption that all B2B campaigns benefit from weekday-only delivery. They also discuss how dayparting interacts with Meta's automated learning phase and when it makes sense to test a dayparted campaign versus a always-on approach. By the end, listeners will know exactly how to build a dayparting test for their own accounts and what metrics to watch.

#FacebookAds #Dayparting #AdScheduling #MetaMarketing #SocialAdCampaigns #PaidSocial #DTCCoffee #TimeZoneTargeting #ConversionRate #AdDelivery #MarketingStrategy #BusinessPodcast #Marketing #FexingoBusiness #Meta #AdOptimization #AudienceTargeting #CampaignManagement

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In this episode of Facebook Ads with Fexingo, Lucas and Luna explore how brand lift studies have become a crucial tool for measuring the true impact of Facebook ad campaigns beyond direct conversions. They break down how Meta's brand lift measurement works—using survey-based experiments to capture changes in awareness, consideration, and preference among exposed vs. control groups. The hosts discuss real-world examples from major advertisers, including a notable case where a CPG brand saw a 12-point lift in purchase intent that wouldn't have shown up in click-through rates. Lucas explains the statistical methodology behind the studies, including minimum sample sizes and confidence intervals, while Luna highlights how smaller advertisers can use brand lift as a strategic signal to justify upper-funnel spending. The conversation also touches on common pitfalls like survey fatigue and the importance of clear hypothesis design. If you've ever wondered whether your brand awareness campaigns actually move the needle, this episode gives you the framework to start measuring what matters.

#BrandLiftStudies #FacebookAds #MetaMarketing #AdMeasurement #MarketingAnalytics #BrandAwareness #AdEffectiveness #SurveyBasedMeasurement #CPGBrandMarketing #PurchaseIntent #UpperFunnel #LucasAndLuna #Fexingo #FexingoBusiness #BusinessPodcast #MarketingPodcast #SocialMediaAdvertising #AdOptimization

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In this episode, Lucas and Luna dig into Offer Claim Optimization — a Facebook Ads feature that tracks when users actually redeem a discount or promotion, not just when they click. They break down how the system prioritizes ad delivery to users who historically claim offers, how to set up a claim event in the Conversions API, and why a DTC skincare brand saw a 34% lower cost per claim versus cost per purchase. Plus, they explain when to use Offer Claim Optimization versus standard Purchase optimization, and how to avoid training the algorithm on window-shoppers who clip coupons but never buy. If you run promotions on Meta, this episode will change how you measure success.

#OfferClaimOptimization #FacebookAds #MetaMarketing #PaidSocial #DTCAdvertising #ConversionsAPI #PromotionTracking #CostPerClaim #CouponStrategy #DigitalMarketing #SocialAds #AdOptimization #MarketingPodcast #BusinessPodcast #FexingoBusiness #Marketing #EcommerceAds #ROITracking

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Meta is quietly rolling out 'dwell-based optimization' — a shift from click-focused bidding to actual time spent with your ad. In episode 69 of Facebook Ads with Fexingo, Lucas and Luna unpack how the algorithm now weights 'attention seconds' over click-through rates. They walk through Meta's internal data showing that users who spend 3+ seconds on an ad are 2.3x more likely to purchase within 7 days, even if they never click. The hosts break down how to set up campaigns for dwell optimization, how it changes creative strategy (hint: slower, narrative-driven ads win), and why this might be the biggest structural change to Facebook's auction since engagement-based bidding. They also discuss early results from a mid-market e-commerce brand that saw a 14% drop in CTR but a 22% lift in return on ad spend after switching to attention-optimized delivery. If you've been frustrated by cheap clicks that never convert, this episode explains why Meta now agrees with you.

#FacebookAds #MetaMarketing #AttentionOptimization #DwellTime #PaidSocial #AdOptimization #MarketingStrategy #DigitalAdvertising #Meta #FacebookMarketing #ConversionOptimization #CreativeStrategy #AdAuction #ROAS #MarketingROI #Business #FexingoBusiness #BusinessPodcast

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In this episode of Facebook Ads with Fexingo, Lucas and Luna unpack conversion value rules—a feature that lets advertisers assign different dollar values to different customer actions. Using a real-world example from a mid-market DTC apparel brand, they show how a $50 sweater purchase might be worth ten times more than a $5 newsletter sign-up, and how Meta's algorithm uses those signals to optimize delivery toward higher-value conversions. They discuss setting up value-based lookalike audiences, pitfalls like overvaluing small actions, and why this approach beats standard conversion optimization for e-commerce and lead gen campaigns. If you've ever wondered why Facebook sometimes sends you cheap clicks that never buy, value rules might be the fix. Episode 68 of the series.

#FacebookAds #ConversionValueRules #MetaMarketing #PaidSocial #DTCAdvertising #EcommerceMarketing #AudienceTargeting #ValueBasedOptimization #AdCampaigns #MarketingStrategy #LookalikeAudiences #RevenueAttribution #FexingoBusiness #BusinessPodcast #Marketing #DigitalAdvertising #CustomerLifetimeValue #AdOptimization

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