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

In this episode, Lucas and Luna dive into Facebook's predictive lifetime value (pLTV) targeting, a feature that aims to find customers worth more over time rather than just those who convert once. They unpack how Meta's algorithm builds lookalikes based on predicted future value, not past behavior, using first-party data feeds and machine learning models. The hosts discuss a concrete example—a dir...

In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into a tactic that often gets overlooked in favor of flashier AI tools: video completion rate optimization. They break down how Meta's delivery system weights completed views versus early drop-offs, using a real-world example of a DTC skincare brand that boosted ROAS by 40 percent simply by restructuring their ad creative to hold vi...

Lucas and Luna dive into Facebook's AI-powered lookalike expansion, a feature that stretches your seed audience to find untapped buyer segments. They break down how the algorithm uses purchase signals from a 1% lookalike to discover high-intent users outside traditional targeting, with real metrics from a DTC supplement brand that saw a 34% lower cost per acquisition while maintaining return on ad...

In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into a powerful but underused targeting tactic: location layering. They explore how advertisers can combine multiple geographic tiers—like a 500-meter radius around competitor stores plus a behavior filter for recent foot traffic—to build hyper-local audiences without sacrificing scale. Using a real-world case of a Seattle coffee ch...

Lucas and Luna explore how Facebook ad frequency — the number of times the same user sees your ad — quietly destroys campaign performance. Lucas explains why frequency above three causes click-through rates to drop by 60% or more, using a real example from a DTC mattress brand that saw cost per purchase rise from $45 to $128 after frequency hit 4.2. They discuss Meta's own research showing that 70...

In this episode, Lucas and Luna dive into incrementality testing — the gold standard for measuring whether your Facebook ads actually drive conversions or just capture ones that would have happened anyway. They break down the Ghost Ads methodology used by companies like HelloFresh to isolate true lift from organic noise. Lucas explains why last-click attribution overstates performance by 40-60% an...

Lucas and Luna dive into Facebook's shopping behavior targeting — how advertisers use purchase history, device preference, and lifestyle signals to segment audiences. They walk through specific segments like 'heavy buyers in apparel' and 'one-time home decor shoppers,' explaining how these data points improve ROAS. The episode examines the trade-offs: better relevance versus smaller reach, and the...

It's June 2026, and Facebook advertisers are still grappling with signal loss from iOS privacy changes and cookie deprecation. In this episode, Lucas and Luna dig into server-side conversion tracking — specifically, how sending events directly from a server (not the browser) improves match rates, reduces data gaps, and unlocks better ad performance. They break down the mechanics: what a server-sid...

Episode 49 of Facebook Ads with Fexingo dives into cost cap bidding — Meta's automated bidding strategy that lets advertisers set a maximum cost per result while still benefiting from machine learning. Lucas and Luna break down how cost caps differ from bid caps and target cost, when to use them (like scaling a proven campaign without blowing the budget), and a real example from a mid-market e-com...

In this episode, Lucas and Luna dive into Facebook's Dynamic Creative Optimization (DCO) and how it's reshaping ad testing in 2026. They explore the mechanics behind DCO's automated combination of headlines, images, and calls-to-action, and unpack a real-world case from a mid-size DTC brand that saw a 34% reduction in cost per acquisition by letting Meta's algorithm assemble the winning creative....

In this episode, Lucas and Luna dive into how Facebook Ads now use AI to generate and test multiple creative variants automatically, slashing the time from campaign launch to a winning ad. They explore a real case from a mid-sized DTC brand that ran 12 AI-generated variants in 24 hours, how Meta's dynamic creative optimization works under the hood, and why the old 'manual A/B test' approach is bec...

Episode 46 of Facebook Ads with Fexingo. Since Apple's App Tracking Transparency framework rolled out in 2021 and Google's Privacy Sandbox started phasing out third-party cookies in 2024, Facebook advertisers have been scrambling for reliable targeting signals. Many rushed toward first-party data — email lists, website behavior — but that's still largely inferred. This episode zooms in on zero-par...

In this episode, Lucas and Luna explore how Facebook ads are increasingly using audio creative—sound design, voiceovers, and music—to capture attention and drive higher engagement rates. They discuss a case study from a DTC brand that saw a 23% lift in ad recall after adding custom audio branding to their video ads, and break down the technical requirements for optimizing audio in Meta's platform,...

In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into the surprisingly powerful use of UTM parameters for retargeting. They explain how a simple five-minute tweak to your campaign URL tagging can unlock custom audiences that track exactly which blog posts, product pages, or landing pages a user visited. Lucas walks through the setup using Google's Campaign URL Builder, shares a re...

Lucas and Luna dig into Facebook's custom event optimization, a feature that lets advertisers optimize for micro-conversions like button clicks or scroll depth instead of just purchases. Using a case study from a DTC skincare brand that tracked 'Add to Wishlist' as a custom event, they show how this approach cut cost-per-action by 22% while increasing top-of-funnel volume. They break down how to s...

Lucas and Luna dive into a 2025 case where a major CPG brand accidentally ran ads next to AI-generated conspiracy content. They explain how Meta's topic exclusion controls work, why blocklists aren't enough anymore, and how advertisers can use publisher lists and inventory filters to protect brand safety. Specific numbers: the brand's ad recall dropped 14% after the incident, and they recovered it...

In this episode, Lucas and Luna explore how Facebook Ads conversion value rules let advertisers assign different values to different actions—like weighting a $200 purchase ten times higher than a newsletter signup. They break down a real example from a DTC furniture brand that used this feature to increase return on ad spend by 34 percent in Q1 2026 without changing its budget. Lucas explains how...

Episode 40 dives into brand lift studies on Facebook Ads—how they measure ad effectiveness beyond direct conversions, using real-world examples like a DTC skincare brand that ran a two-week brand lift test and found a 12-point lift in ad recall and 8-point lift in purchase intent. Lucas and Luna break down the methodology, sample sizes, statistical significance, and when to use brand lift vs. conv...

Episode 39 of Facebook Ads with Fexingo dives into creative fatigue scoring — the metric quietly driving ad performance declines. Lucas and Luna explain how Meta's algorithm now penalizes over-served creative before humans notice, how Coca-Cola's 2025 summer campaign used fatigue alerts to refresh assets every four days, and what the 'creative decay curve' means for your 2026 budget. They also cov...

Episode 38 of Facebook Ads with Fexingo dives into how Meta's AI-powered bidding system is quietly outperforming human ad managers. Lucas and Luna break down a case study from a DTC skincare brand that saw a 23% lower cost per purchase after switching from manual bidding to Meta's value-optimized automatic bidding. They discuss the mechanics of AI bidding — how it adjusts in real-time based on use...

In episode 37 of Facebook Ads with Fexingo, Lucas and Luna dive into the surprising comeback of broad targeting on Facebook in 2026. They break down why Meta's AI now outperforms detailed audience segments for many campaigns, using a real example of a DTC mattress brand that switched from interest-based targeting to broad and saw a 34% lower cost per purchase. Lucas explains the mechanics of Meta'...

In this episode, Lucas and Luna dive into Facebook Ads' Campaign Budget Optimization (CBO) feature—what it actually does, when it works, and when it backfires. They walk through a real ecommerce case: a DTC skincare brand that scaled from $10k to $80k monthly ad spend using CBO, only to hit a wall when their best ad set got starved. Lucas explains the math behind automated budget allocation, the '...

In this episode, Lucas and Luna explore how sequential retargeting on Facebook turns cold leads into customers by serving a strategic series of ads over time. They break down the three-phase framework: awareness, consideration, and conversion, using real examples like a DTC mattress brand that increased conversion rates by 34% after implementing a five-ad sequence. Lucas explains the importance of...

This episode dives into the mechanics of Facebook Lookalike Audiences for 2026. Lucas and Luna break down why starting with a well-segmented source audience matters, how seed size—1,000 versus 10,000—drives different results, and why newer lookalikes often outperform re-run versions. They walk through a concrete example: a mid-market DTC brand that doubled ROAS by switching from a broad retargetin...

Lucas and Luna dive into view-through attribution for Facebook ads—why it matters, how it works, and why critics call it 'last-click on steroids.' They break down a real example: a $50,000 campaign where view-through conversions accounted for 68% of reported purchases, and debate whether those clicks were actually influenced. Lucas explains Meta's view-through window (1-day and 7-day), how it diff...