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

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 thoughtful interactions. They also touch on recent shifts in how Meta weights video views and link clicks, and what that means for small advertisers. Tune in for a practical look at one of the most misunderstood parts of Meta's ad system—and how to optimize for it without chasing vanity metrics. This episode is part of the Fexingo Business podcast network, where we break down the most important business topics in under ten minutes.

#MetaAds #FacebookAds #EngagementScoring #AdRanking #SocialMediaMarketing #DigitalAdvertising #Algorithm #PaidSocial #Marketing #Business #FexingoBusiness #BusinessPodcast #MetaAuction #AdRelevance #CustomerEngagement #SmallBusinessMarketing #AdOptimization #MetaAdSystem

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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 ones, and why this approach can lift return on ad spend by 20-30 percent in some cases. If you've ever wondered whether to switch from a classic lookalike to a value-based one, this episode gives you the practical breakdown: when to test, how to structure your campaign, and what metrics to watch. Tune in to hear how to squeeze more from your existing customer data without expanding your audience to the point of irrelevance.

#ValueBasedLookalikes #MetaAds #FacebookAdvertising #AudienceTargeting #LookalikeAudiences #MarketingStrategy #PaidSocial #DigitalMarketing #MetaMarketing #CustomerValue #ROI #AdOptimization #FacebookAds #Marketing #Business #FexingoBusiness #BusinessPodcast #Podcast

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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 audiences, the role of frequency caps, and how to avoid the creep factor. They also discuss the difference between retargeting and remarketing, and why Meta's machine learning has made manual audience segmentation a thing of the past. Whether you're a small business owner or a seasoned media buyer, this episode offers practical insights into turning lost clicks into conversions. Lucas and Luna also touch on the importance of creative freshness and how to test different offers to find what resonates with your warm audience.

#Retargeting #FacebookAds #MetaMarketing #AbandonedCart #CustomAudiences #Ecommerce #MarketingStrategy #SocialAds #PaidSocial #LucasAndLuna #FexingoBusiness #BusinessPodcast #AudienceTargeting #AdCampaign #ConversionOptimization #DigitalMarketing #AdFrequency #CreativeTesting

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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 views, link clicks, and time spent, and why that matters for your campaign structure. If you've ever wondered why your detailed targeting interests don't always perform, or how to let Meta's algorithm find the right people, this episode gives you a practical framework for testing and optimizing. Tune in to understand how to speak Meta's language and get more from your ad budget.

#FacebookAds #MetaMarketing #AudienceTargeting #InterestTargeting #BehavioralSignals #LookalikeAudiences #AdOptimization #DigitalMarketing #SocialMediaAds #MarketingPodcast #FexingoBusiness #BusinessPodcast #MetaAds #AdTargeting #MachineLearning #AdStrategy #MarketingTips #PaidSocial

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Lucas and Luna dig into one of the most under-appreciated levers in Facebook Ads: ad scheduling. They break down how Meta's delivery system decides when to show your ads, why 'always-on' isn't always optimal, and how advertisers can use dayparting to align with customer behaviour. Using the example of a D2C meal-kit brand that shifted ad delivery to weekday evenings, they show how a simple scheduling change lifted return on ad spend by 18 percent without increasing budget. They also explain the difference between ad scheduling and ad delivery controls, how Meta's machine learning interacts with time-based rules, and when it's smarter to let the algorithm decide. If you've ever wondered why your ads seem to vanish at certain hours, or why your delivery can feel lumpy, this episode is for you.

#FacebookAds #MetaAds #AdScheduling #Dayparting #ReturnOnAdSpend #D2C #DigitalMarketing #PaidSocial #AdDelivery #Marketing #BusinessPodcast #FexingoBusiness #SocialMediaAds #AudienceTargeting #AdOptimization #MachineLearning #Ecommerce #AdStrategy

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Lucas and Luna unpack how Meta's lookalike audiences actually work — not as magic, but as a statistical model trained on your best customers. They walk through the mechanics: how Meta builds a vector representation of your seed audience, how it scores the broader population, and why the 1 percent lookalike is not always the best choice. They get specific about source audience size (a thousand events is a rough floor), about the trade-off between similarity and reach, and about how to read your results when a lookalike underperforms. There's a concrete example with a DTC skincare brand that shifted from a 1 percent to a 3 percent lookalike and saw cost per acquisition drop. They also touch on how to layer lookalikes with interest and behavior targeting, and how to refresh your seed as your customer base evolves. The tone is practical, with a clear takeaway: lookalikes are a tool, not a shortcut — the quality of your seed determines the quality of your model. A listener should walk away understanding how to think about lookalikes as a marketer, not just a button to click.

#MetaAdvertising #LookalikeAudiences #FacebookAds #AudienceTargeting #DigitalMarketing #PaidSocial #MetaMarketing #CustomerAcquisition #DataDrivenMarketing #MarketingStrategy #DTCBrands #AdTargeting #MarketingScience #FexingoBusiness #BusinessPodcast #MarketingPodcast #SocialMediaAds #AdTech

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In this episode of Facebook Ads with Fexingo, Lucas and Luna explore how Meta ranks ads using engagement signals—likes, shares, comments, and saves—beyond just conversions. They break down the interplay between predicted action rates, ad quality, and relevance, and explain why a post with high engagement might outperform one with higher click-through. Discover real examples of businesses adjusting their strategies based on engagement data, and learn how to balance engagement and conversion metrics in your own campaigns. Tune in to understand the nuanced ranking system behind Facebook's ad auction and how you can leverage engagement to lower costs and improve performance.

#MetaAds #FacebookAdvertising #AdRanking #EngagementSignals #SocialMediaMarketing #Marketing #BusinessPodcast #FexingoBusiness #DigitalMarketing #AudienceTargeting #AdAuction #AdRelevance #FacebookAlgorithm #ROI #AdStrategy #PaidSocial #MarketingTips #LucasAndLuna

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In episode 169 of Facebook Ads with Fexingo, Lucas and Luna explore how Meta allocates your ad budget across the marketing funnel—from awareness to conversion—using its machine learning systems. They break down the actual mechanics of budget pacing, the role of ad set spend caps, and why your 'full-funnel' strategy might be leaking spend. The episode centers on a concrete example: a mid-sized DTC brand that shifted from a single campaign to a structured three-tier approach, seeing a 30 percent reduction in cost per acquisition. Lucas explains how Meta's algorithms interpret your campaign objectives, why 'lowest cost' vs. 'cost cap' bidding changes flow, and how the new 'Advantage Campaign Budget' reshapes daily allocation. They also touch on the tension between short-term ROAS and long-term brand lift, and why you need to set your own guardrails. If you've ever wondered why your ad spend seems to disappear into the void, this episode gives you a clear mental model for how Meta decides where your money goes—and how to take back control.

#MetaAdvertising #FacebookAds #AdBudgetAllocation #MarketingFunnel #PaidSocial #DigitalMarketing #AdvantageCampaignBudget #BidStrategy #CostPerAcquisition #ROAS #BrandLift #AudienceTargeting #CampaignStructure #DTCBrands #MarketingStrategy #BusinessPodcast #FexingoBusiness #Podcast

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In Episode 168 of Facebook Ads with Fexingo, Lucas and Luna explore how Meta's AI uses video ad engagement to predict and influence customer retention. They break down the mechanics of video view signals, the role of custom retention audiences, and why a simple view-through metric can outperform click-through in the long run. Using a fictional skincare brand as an example, they show how a 30-second video ad can drive repeat purchases months later. The episode also covers the shift from last-click attribution to value-based lookback windows, and why creative that sparks emotion beats hard-sell CTAs for loyalty. If you're a marketer tired of chasing one-time buyers, this episode offers a practical framework for using Meta's video ad system to build a base of customers who come back. No jargon, no fluff—just the real mechanics behind retention-focused paid social.

#MetaAds #FacebookAds #VideoMarketing #CustomerRetention #AIAdvertising #AdTargeting #MarketingStrategy #DigitalMarketing #SocialMediaAds #RetentionMarketing #LTV #AdAttribution #MetaAI #PaidSocial #BusinessPodcast #FexingoBusiness #MarketingPodcast #SocialMediaStrategy

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In this episode of Facebook Ads with Fexingo, Lucas and Luna explore how Meta's AI is now summarizing audience segments in plain language, changing the way advertisers understand and target their customers. They look at the shift from raw data dashboards to AI-generated summaries, the risks of oversimplification, and practical tips for marketers to keep their insight sharp. With specific references to Meta's tools and a concrete example of how a small business might use these summaries, this episode offers a fresh angle on audience targeting in 2026. Tune in to learn how to leverage AI summaries without losing the nuance.

#MetaAI #AudienceSummaries #FacebookAds #MarketingAI #AudienceTargeting #SocialAds #AdTech #MetaMarketing #AIAdvertising #AudienceInsights #MarketingTech #DigitalMarketing #AdvertisingTips #MetaBusiness #MarketingPodcast #FexingoBusiness #BusinessPodcast #Marketing

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