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Facebook Ads with Fexingo: Meta Marketing, Audience Targeting, and Social Ad Campaigns
Facebook Ads with Fexingo: Meta Marketing, Audience Targeting, and Social Ad Campaigns
Facebook Ads with Fexingo is a podcast that dives deep into the mechanics of Meta's advertising platform. Hosts Lucas and Luna explore tactical questions about conversion campaigns, audience targeting, and ad creative testing. Each episode is grounded in hard metrics like click-through rates and return on ad spend, offering practical insights for media buyers and marketers. The show focuses on the logic behind bid strategies, attribution models, and budget allocation for direct-to-consumer brands.
Episodes
How Facebook Ads Use Value-Based Bidding to Maximize ROAS
In this episode, Lucas and Luna explore how Facebook Ads' value-based bidding lets advertisers optimize for purchase value instead of just conversions. They break down a concrete example—a mid-market furniture retailer using purchase value data to train Meta's algorithm to prioritize high-ticket buyers. Lucas explains the setup steps, the minimum data requirements, and how value-based lookalikes c
How Data Clean Rooms Boost Facebook Ad Targeting
Since iOS 14, advertisers have struggled to match offline purchase data with Facebook users. Enter data clean rooms — secure environments where brands and Meta can combine hashed identifiers without exposing raw data. In this episode, Lucas and Luna explain how a national retailer used a Snowflake clean room to build a custom audience of high-value past purchasers, improving ROAS by 30 percent whi
How Facebook Ads Use Advantage+ Shopping Campaigns
Meta's Advantage+ shopping campaigns represent a paradigm shift in how advertisers approach Facebook advertising — fully automated targeting, bidding, and creative optimization driven by machine learning. In this episode, Lucas and Luna unpack the mechanics behind the 17 percent average cost-per-acquisition reduction Meta reports, examine the trade-offs when advertisers cede manual control, and ex
How Facebook Ads Automated Rules Slash Wasted Spend
In this episode, Lucas and Luna dive into Facebook Ads' automated rules—a feature that acts like a 24/7 campaign manager. They share a concrete case: an e-commerce brand saved 15% of monthly spend by setting a rule to pause any ad set with a cost-per-click above $0.50 during low-conversion hours. The hosts explain how to set up effective rules, avoid common pitfalls like overreacting to temporary
How Facebook Ads Use Dark Social Attribution
Episode 133 of Facebook Ads with Fexingo digs into dark social attribution — the traffic from messaging apps, email forwards, and copy-pasted links that Meta's pixel can't see. Lucas and Luna walk through why roughly 15 to 20 percent of referral traffic is invisible to standard tools, how Facebook's click-through model misses conversions that start in WhatsApp or iMessage, and what advertisers can
Facebook Ads Using First-Party Data Matching After iOS 14
Episode 132 of Facebook Ads with Fexingo dives into how advertisers are using first-party data matching to rebuild audience targeting after Apple's iOS 14 privacy changes. Lucas and Luna unpack the mechanics of hashed email matching, the shift from pixel-dependent to server-side identity graphs, and real results from a mid-market retailer that lifted ROAS 22 percent by layering customer uploads ag
How Facebook Ads Use Dynamic Creative Optimization
In this episode, Lucas and Luna break down Dynamic Creative Optimization (DCO) on Facebook Ads — how Meta automatically tests combinations of images, headlines, copy, and CTAs to find the highest-performing ad variant. They walk through a real case: a DTC mattress brand that used DCO to double its ROAS by letting the algorithm pick from 16 creative permutations instead of manual A/B testing. The h
How Facebook Ads Use Incrementality Testing to Prove ROI
In episode 130 of Facebook Ads with Fexingo, Lucas and Luna dive into incrementality testing — the gold standard for proving whether your ads actually move the needle. They break down the core logic of holdout groups, share a real example from a DTC brand that ran a geo-based incrementality test across three US states, and explain why this method matters more than ever after iOS 14 signal loss. Lu
How Facebook Ads Use Virtual Product Try-On for Conversion
Episode 129 of Facebook Ads with Fexingo explores how augmented reality try-on ads are reshaping conversion rates for beauty, eyewear, and apparel brands. Lucas and Luna break down the technology behind Meta's AR ad units, compare early metrics from Warby Parker and Sephora, and discuss the 94% lower return rate reported by some retailers using virtual try-on. They also examine the hardware limita
How Facebook Ads Use Seasonality Calendars for Campaign Timing
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into how advertisers can use a seasonality calendar to optimize campaign timing and budget allocation. They explore how a small e-commerce brand selling outdoor gear pre-scheduled creative and bids around weather patterns, holidays, and cultural events, resulting in a 34 percent lower cost per acquisition and a 22 percent higher ret
How Facebook Ads Use Predictive Lifetime Value Modeling
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into how Meta's advertising platform uses predictive lifetime value (LTV) modeling to optimize bids and audience selection. They break down a 2025 case study from a direct-to-consumer mattress company that shifted from ROAS-based bidding to pLTV bidding and saw a 34% increase in 180-day revenue per impression. The hosts explain how
How Facebook Ads Use Sequential Messaging for Funnel Progression
Lucas and Luna dive into sequential messaging on Facebook Ads — a tactic where brands serve a series of ads in a predetermined order to guide users through a funnel. They break down how a DTC mattress company used a 4-ad sequence to move cold prospects from awareness to purchase, increasing conversion rate by 34%. The episode covers sequencing logic, frequency capping, creative fatigue avoidance,
How Facebook Ads Use View-Through Attribution for Display Impact
Lucas and Luna dive into view-through attribution — the controversial metric that credits a Facebook ad for a conversion even if the user didn't click. They unpack how Facebook's algorithm weights view-through conversions, the debate over last-click versus view-through, and why a mattress company might see 80% of its attributed sales come from non-clicked impressions. Listeners learn how to evalua
How Facebook Ads Use Post-Purchase Surveys for Audience Feedback
In this episode, Lucas and Luna explore how Facebook Ads leverage post-purchase surveys to gather direct audience feedback and improve targeting. They break down the mechanics of survey triggers, how brands like Warby Parker use this data to refine lookalike audiences and creative, and why survey response rates see a 40% lift when served within 24 hours of purchase. Plus, they discuss the pitfalls
How Facebook Ads Use Layered Exclusion to Eliminate Waste
In this episode, Lucas and Luna explore how Facebook advertisers can layer multiple exclusion criteria—from past purchasers and engaged users to lookalike seed audiences—to dramatically reduce ad spend waste. They walk through a concrete example: a DTC skincare brand that cut its cost per acquisition by 22% in Q2 2026 by excluding existing customers, recent converters, and users who had already se
How Facebook Ads Use Affinity Segmentation for Brand Building
In Episode 122 of Facebook Ads with Fexingo, Lucas and Luna explore affinity segmentation — a targeting approach that groups users by demonstrated brand or category preferences rather than demographics or simple intent signals. They anchor the discussion around a tangible case: how a DTC home-goods brand called OmoCasa used affinity segments to reduce cost per first purchase by 22 percent while gr
How Facebook Ads Use AI-Driven Creative Testing at Scale
In Episode 121, Lucas and Luna explore how Facebook advertisers are leveraging AI to automate and scale creative testing. They break down the shift from manual A/B testing to algorithmic creative optimization, using the real example of a DTC mattress brand that ran 1,200 ad variations simultaneously. Lucas explains how Meta's machine learning identifies winning creative elements like headlines, im
How Facebook Ads Use Negative Targeting to Exclude Waste
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into negative targeting — the underused strategy of explicitly excluding irrelevant audiences to improve campaign efficiency. Using the example of a DTC mattress brand that saved 30 percent of its budget by excluding renters and recent purchasers, they explain how exclusion lists, value-based suppression, and demographic filters can
How Facebook Ads Use Lookalike Expansion for New Customer Acquisition
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into Lookalike Expansion, a targeting feature that Facebook rolled out in late 2025 to help advertisers break out of overly narrow audiences. Lucas explains how the tool works: it starts from a seed audience, like past purchasers, but progressively loosens the match criteria to reach people who share behavioral patterns without matc
How Facebook Ads Use Brand Lift Tests for Campaign Validation
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into brand lift tests—the controlled experiments that measure whether your Facebook ads actually shift perception, recall, or intent. They walk through a real case: how a mid-size DTC skincare brand ran a two-week brand lift study costing about $35,000 and discovered their video ad improved ad recall by 12 points but had zero impact
How Facebook Ads Use Conversion API for Server-Side Tracking
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 attri
How Facebook Ads Use Geo-Experiment for Incrementality
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 methodologi
How Facebook Ads Use Contextual Targeting After Signal Loss
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% low
How Facebook Ads Use Predictive Churn Scoring
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. Luca
How Facebook Ads Use Value-Based Lookalikes After iOS 14
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
How Facebook Ads Use Multi-Touch Attribution for Full-Funnel Credit
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 f
How Facebook Ads Use Inferred Intent Signals
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 w
How Facebook Ads Use Audio Branding for Sonic Recall
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 B
How Facebook Ads Use Retention Cohorts to Predict LTV
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 discu
How Facebook Ads Use Live Shopping for Real-Time Conversion
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
How Facebook Ads Use Dynamic Creative Optimization for Personalization
In Episode 107 of Facebook Ads with Fexingo, Lucas and Luna dive into Dynamic Creative Optimization (DCO) on Meta's platform. Lucas explains how DCO automatically tests combinations of headlines, images, calls-to-action, and descriptions to find the winning variant for each user segment. He shares a concrete example from a DTC brand that increased click-through rates by 34% while reducing cost per
How Facebook Ads Use Engagement-Based Frequency Caps
In this episode, Lucas and Luna explore a subtle but powerful Meta Ads feature: engagement-based frequency caps. Unlike standard caps that limit how many times any user sees an ad, engagement caps let you differentiate between users who have already clicked, commented, or shared versus those who haven't. Lucas breaks down a real campaign from a DTC skincare brand that reduced ad waste by 22% in Q2
How Facebook Ads Use Audience Saturation Curves to Cap Frequency
Episode 105 of Facebook Ads with Fexingo dives into audience saturation curves: the data-driven method for capping ad frequency before your audience tunes out. Lucas breaks down how Meta's system models diminishing returns on repeated impressions, using a real-world example of a DTC brand that cut frequency from 7 to 3 per week and saw conversion rates jump 40%. Luna questions how this differs fro
How Facebook Ads Use Time of Day Scheduling for Conversion Lift
In episode 104 of Facebook Ads with Fexingo, Lucas and Luna explore how advertisers are using time-of-day ad scheduling to boost conversion rates without increasing budget. They break down a real example from a DTC furniture brand that shifted 60% of its daily ad spend into a six-hour evening window and saw a 34% increase in ROAS. The hosts discuss how Meta's auction dynamics make timing matter mo
How Facebook Ads Use Format Switching to Beat Banner Blindness
In this episode, Lucas and Luna dive into a tactic that's quietly making some Facebook ad campaigns outperform others by 30 to 50 percent: format switching. Instead of running the same video or carousel for months, advertisers cycle between static images, canvas ads, Stories, and Reels placements — not randomly, but on a schedule tied to frequency metrics. Lucas breaks down a case from a direct-to
How Facebook Ads Use Engagement Custom Audiences for Retargeting
In this episode, Lucas and Luna dive into one of Facebook Ads' most underrated features: Engagement Custom Audiences. Unlike standard retargeting that relies on pixel events like 'View Content' or 'Add to Cart,' Engagement Custom Audiences let you retarget users who have watched 50 percent of a video, liked a page, or completed a lead form — without any pixel data at all. Lucas walks through a rea
How Facebook Ads Use Predictive AOV Modeling
Lucas and Luna dig into a quiet but powerful Meta Ads tactic: predicting a new customer's first-order average order value before they ever buy. Lucas walks through how a DTC brand used past purchaser data, pixel events, and machine learning to bid higher for high-AOV prospects and cap bids for likely low-AOV clicks. He cites a specific test by a pet-supply startup that saw 22% higher ROAS after sw
How Facebook Ads Use Creative Versioning for A B Testing
In this milestone 100th episode, Lucas and Luna dive into the art and science of creative versioning on Facebook Ads. They break down why running more than five ad variations can actually hurt performance, how to structure a proper A/B test with the platform's native tools, and why the 'winning' creative often fatigues within two weeks. Using a real-world example from a DTC apparel brand that test
How Facebook Ads Use Incremental Reach to Grow Audiences
In this episode, Lucas and Luna explore how Facebook Ads leverage incremental reach analysis to identify new users not already captured by other channels. They break down the concept of deduplicated reach across platforms, using a real-world marketer case where an apparel brand discovered its Facebook audience overlapped 40% with email campaigns but only 15% with paid search. The hosts explain how
How Facebook Ads Use Lookalike Audiences After iOS 14
Episode 98 of Facebook Ads with Fexingo dives into how Meta's lookalike audiences have evolved since Apple's iOS 14 privacy changes. Lucas and Luna walk through the shift from pixel-based to value-based lookalikes, why seed audience size now matters more than ever, and how a mid-size DTC skincare brand rebuilt its targeting using first-party data from loyalty programs. They unpack the mechanics of
How Facebook Ads Use Privacy Sandbox After iOS Changes
In episode 97 of Facebook Ads with Fexingo, Lucas and Luna dive into how Meta is leveraging the Google Privacy Sandbox to adapt targeting after Apple's iOS 14.5 changes. They break down the Topics API, FLEDGE, and Attribution Reporting API, explaining how these tools help advertisers maintain relevant audience segments without individual tracking. Using a concrete example of an independent clothin
How Facebook Ads Use Ad Copy Sentiment Analysis
In this episode, Lucas and Luna explore how Facebook ads leverage sentiment analysis to optimize ad copy performance. They break down how Meta's AI scores emotional tone in headlines and descriptions, and how brands like Allbirds used sentiment testing to lift click-through rates by 22 percent. The hosts also compare built-in Meta tools to third-party platforms like Lexalytics and discuss practica
How Facebook Ads Use Zero-Party Data Strategies for Targeting
In episode 95 of Facebook Ads with Fexingo, Lucas and Luna explore how advertisers are shifting from third-party and second-party data to zero-party data—information customers voluntarily share. They break down the difference between zero-party and first-party data, discuss why it matters after Apple's iOS privacy changes, and examine real-world examples like a DTC skincare brand using a skin quiz
How Facebook Ads Use Custom Audience Overlap to Reduce Waste
In episode 94 of Facebook Ads with Fexingo, Lucas and Luna dive into custom audience overlap analysis — a strategy that prevents advertisers from bidding against themselves across different ad sets. Using a case study of a DTC mattress brand that ran seven separate retargeting campaigns to the same pool of 80,000 site visitors, Lucas explains how overlap rates above 30 percent can inflate costs by
How Facebook Ads Use Ad Recall Lift Studies to Prove Brand Impact
In this episode, Lucas and Luna dive into Facebook's Ad Recall Lift studies—a brand lift measurement tool that surveys users to measure whether an ad campaign actually sticks in memory. They break down how the methodology works, why it matters for brand marketers in 2026, and a real example from a consumer packaged goods company that used it to justify a seven-figure budget increase. If you've eve
How Facebook Ads Use Hyperlocal Targeting for Store Visits
This episode of Facebook Ads with Fexingo dives into hyperlocal targeting — a strategy that lets businesses drive foot traffic by reaching users within a few blocks of their store. Lucas and Luna break down how Meta's location targeting works, from radius targeting around a physical address to leveraging the Facebook Pixel for offline conversions. They use the example of a Portland-based coffee ch
How Facebook Ads Use Ad Copy Fatigue Detection
Episode 91 dives into how Facebook Ads detects and responds to ad copy fatigue. Lucas and Luna explore the creative fatigue metric in Ads Manager, the decay curve of ad relevance scores, and how brands like HelloFresh and Warby Parker use automated creative rotation to maintain performance. They discuss the difference between frequency-based fatigue and copy-specific wear-out, the role of Facebook
How Facebook Ads Use In-Stream Inventory Control for Brand Safety
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into how advertisers can control where their video and display ads appear within Facebook's in-stream placements. They break down the Inventory Filter tool — Standard, Expanded, and Limited inventory tiers — and explain how publishers' monetization eligibility tags affect brand safety. Using real examples from a 2025 campaign for a
How Facebook Ads Use Incrementality Testing to Prove Real Impact
Episode 89 of Facebook Ads with Fexingo digs into incrementality testing — the gold standard for proving whether your ad actually drove a sale or you're just counting customers who would have bought anyway. Lucas and Luna walk through a concrete example: a DTC mattress company that ran a geo-holdout experiment across five DMAs in Q2 2026. They uncover that the brand's last-click attribution was ov
How Facebook Ads Use Browser Pixel Events to Rebuild Attribution
Episode 88: Lucas and Luna explore how Facebook Ads leverage browser pixel events—like view content, add to cart, and purchase—to rebuild attribution after iOS privacy changes. They dive into Meta's Conversions API versus the pixel, the shift toward server-side tracking, and how small ecommerce brands like indie candle maker North+Ash are adapting. Lucas explains why event prioritization and dedup
How Facebook Ads Use Sequential Messaging to Convert
In episode 87, Lucas and Luna explore Facebook Ads' sequential messaging strategy — showing users different ads in a specific order based on their previous interactions. Using the example of a home fitness brand, they break down how a three-ad sequence works: awareness, consideration, conversion. Lucas explains the back-end logic: how Meta tracks engagement events like video views or link clicks,
How Facebook Ads Use Value-Based Lookalikes After iOS
In episode 86, Lucas and Luna dive into Facebook's value-based lookalike audiences—a targeting strategy that prioritizes high-LTV users over generic similarity. They explain how it works, why it matters after Apple's iOS privacy changes, and walk through a real example for a $50/month subscription product. Lucas breaks down the math (top-decile customers generating 4x revenue) and Luna challenges
How Facebook Ads Use Audio Matching for Brand Recognition
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore a powerful but underutilized targeting method: audio matching. They break down how brands can upload custom audio clips — jingles, voiceovers, or signature sounds — and target users who have encountered that audio across Meta's apps. The discussion covers the technical setup, the surprising effectiveness for brand recall, and a c
How Facebook Ads Use Dynamic Creative Optimization
In this episode, Lucas and Luna explore Dynamic Creative Optimization (DCO) on Facebook Ads. They break down how DCO automatically tests combinations of headlines, images, calls-to-action, and descriptions to find winning creative variations. Using the example of a mid-size e-commerce brand that saw a 35% increase in conversion rate after implementing DCO, they explain the mechanics, best practice
How Facebook Ads Use Interest Layering for Niche Reach
In this episode, Lucas and Luna unpack Facebook Ads' interest layering strategy—combining multiple narrow interest targets to build hyper-specific audiences that smaller campaigns can actually afford. They walk through a real example from a boutique outdoor gear brand that used 'mountain biking + organic gardening + zero-waste living' to reach 28,000 people at a cost per click 40 percent lower tha
How Facebook Ads Use Purchase Frequency Scoring
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into purchase frequency scoring—how Meta evaluates whether a customer is a one-time buyer, a repeat purchaser, or a lapsing risk. They break down the mechanics: the thirty-day rolling window that tracks user purchase intervals, the four-tier frequency bucket system, and how the algorithm adjusts bid modifiers based on user recency.
How Facebook Ads Use Audience Exclusion Lists to Reduce Waste
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into a powerful but underused feature in Meta Ads Manager: audience exclusion lists. They explain how excluding existing customers, recent converters, or irrelevant segments can dramatically reduce ad spend waste and improve campaign efficiency. Using concrete examples—like a DTC brand excluding recent purchasers from a retargeting
How Facebook Ads Use Topic Exclusions for Brand Safety
Episode 80 of Facebook Ads with Fexingo dives into a lesser-known but powerful tool: topic exclusions. Lucas and Luna explore how Meta's automated content categorization lets advertisers block their ads from appearing next to specific themes—like news, politics, or crime. They break down the three-tier system (topics, sensitive topics, and content labels), discuss why a small e-commerce brand migh
How Facebook Ads Use Event Marketing to Target Live Audiences
In Episode 79 of Facebook Ads with Fexingo, Lucas and Luna explore how advertisers can use Facebook's event marketing tools to target live and upcoming audiences. They break down the mechanics of creating event response custom audiences, using event engagement lookalikes post-iOS, and optimizing for ticket sales or registrations. The episode features a case study on a mid-size music festival that
How Facebook Ads Use Geo-Fencing for Local Marketing Precision
In episode 78, Lucas and Luna explore how Facebook Ads now leverage geo-fencing to target hyper-local audiences. They break down the mechanics of radius targeting, the shift from broad location settings to 1-mile fences, and how a Denver coffee chain cut ad spend by 30% while increasing foot traffic. The hosts discuss the integration of real-time footfall data with Meta's conversion API, the priva
How Facebook Ads Use Negative Keyword Targeting for Precision
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 al
How Facebook Ads Use Lookalike Audiences After iOS Changes
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 q
How Facebook Ads Prioritize New Customer Acquisition
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 b
How Facebook Ads Use Peer-to-Peer Social Proof Targeting
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 exampl
How Facebook Ads Use Seasonal Trend Prediction
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 c
How Facebook Ads Use Dayparting to Schedule Campaigns
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-restri
How Facebook Ads Use Brand Lift Studies to Measure Ad Impact
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 discu
How Facebook Ads Use Offer Claim Optimization
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
Why Facebook Ads Now Optimize for Attention Seconds
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 d
How Facebook Ads Use Conversion Value Rules to Prioritize High-Value Customers
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 optimiz
How Facebook Ads Use A B Testing to Validate Creative Decisions
Episode 67 of Facebook Ads with Fexingo dives deep into the art and science of A/B testing on Meta's platform. Lucas and Luna discuss why most advertisers run tests wrong—testing too many variables at once, ending tests too early, or using sample sizes too small to reach statistical significance. They walk through a concrete example: a campaign for a subscription skincare brand testing a lifestyle
How Facebook Ads Use Engagement Custom Audiences for Retargeting
In Episode 66 of Facebook Ads with Fexingo, Lucas and Luna explore a powerful but often overlooked targeting tool: Engagement Custom Audiences. They break down how you can retarget users who watched 50% of your video, opened your lead form, or engaged with your Instagram profile — without needing a pixel. Lucas shares a specific case: a mid-market DTC brand that cut cost-per-acquisition by 30% usi
How Facebook Ads Use Topic Clusters for Content-Led Targeting
Episode 65 of Facebook Ads with Fexingo explores how advertisers can use topic clusters—groups of related interests and behaviors—to target high-intent audiences without relying on third-party data. Lucas and Luna break down a real-world example from a sustainable fashion brand that cut cost per purchase by 28 percent by layering topics like 'slow fashion,' 'organic cotton,' and 'minimalist wardro
How Facebook Ads Use Sunset Indicators to Retire Underperforming Audiences
Episode 64 of Facebook Ads with Fexingo digs into Meta's often-overlooked audience sunset indicators—the signals that tell advertisers when a high-performing segment has burned out. Lucas and Luna walk through how the platform's algorithm flags declining conversion rates, rising CPMs, and diminishing incremental lift on retargeting pools. They discuss why freezing (not deleting) old audiences pres
How Facebook Ads Use Predictive ROAS to Maximize Campaign Efficiency
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into predictive ROAS (return on ad spend), Meta's machine learning approach that forecasts a customer's conversion value before they click. Lucas breaks down how the algorithm weights historical signals like purchase behavior, device, and time of day to estimate lifetime value versus immediate revenue. They discuss a real case: a DT
How Facebook Ads Use Creative Fatigue Monitoring Tools
Facebook advertisers are finally getting a real-time dashboard that spots creative fatigue before it tanks their cost per purchase. In this episode, Lucas and Luna unpack Meta's new Creative Fatigue Score — a metric that blends frequency, click-through rate decay, and quality ranking — and walk through a concrete example: a DTC supplement brand that saw its cost per acquisition double in three day
How Facebook Ads Use Frequency Caps to Prevent Ad Fatigue
Episode 61 of Facebook Ads with Fexingo dives into frequency caps – one of the most overlooked but powerful levers in Meta Ads Manager. Lucas and Luna break down why the default frequency setting is usually too high, how to set intelligent limits based on campaign goals (awareness vs. conversion), and what the research says about the optimal frequency range (3-5 impressions per person before dimin
How Facebook Ads Use Smart Filters to Cut Ad Fatigue
Episode 60 of Facebook Ads with Fexingo dives into a tactic every advertiser should know: using smart filters to cut ad fatigue and keep campaigns fresh. Lucas and Luna break down how brands like Dollar Shave Club and Casper set up exclusion filters based on frequency and last-engagement timestamps to avoid showing the same ad to the same person twenty times. They explain the difference between ac
How Facebook Ads Use Advantage Plus Creative to Automate Ad Design
Episode 59 of Facebook Ads with Fexingo dives into Advantage+ Creative, Meta's AI-driven tool that automatically adjusts ad images, text, and formats to boost performance. Lucas and Luna explore how this feature works under the hood — from dynamic text optimization to automatic image enhancement — and discuss a real campaign example from a DTC brand that saw a 22% lift in conversion rate after ena
How Facebook Ads Use Cross-Domain Bidding in 2026
In this episode, Lucas and Luna explore the 2026 world of cross-domain bidding for Facebook Ads. With iOS privacy changes and cookie deprecation, advertisers can no longer rely on simple pixel-based attribution across multiple brands or properties. Lucas breaks down how Meta now allows advertisers to share aggregated conversion signals between domains using Conversions API and privacy-safe data cl
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