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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 Meta Uses Video Ads to Retain Customers
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-secon
How Meta Uses AI to Summarize Your Audience
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 reference
Why Facebook Ads Need More Than One Winning Creative
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore why a single winning ad creative isn't enough for sustainable performance. They break down a real scenario: a skincare brand whose one hero video drove strong results for weeks, then suddenly plateaued and saw costs rise. The hosts explain the mechanics of creative fatigue, how Meta's delivery system rewards variety, and why havi
How Meta Optimizes Ad Spend Across the Funnel
In episode 165, Lucas and Luna explore how Meta's ad delivery system allocates budget across the marketing funnel—from prospecting to retargeting—and why the 'one campaign, one objective' approach might be limiting your results. They break down the concept of 'funnel-level optimization,' where Meta's algorithms balance reach and conversion based on your campaign structure and conversion signals. U
How Facebook Ad Conversion Windows Shape Your Results
In this episode of Facebook Ads with Fexingo, Lucas and Luna dig into the often-overlooked but powerful setting: the conversion window. They explain how choosing between 1-day click, 7-day click, and 7-day view windows can dramatically shift the data Meta's algorithm uses to optimize your campaigns. Using a concrete example of an e-commerce brand selling $50 products, they walk through how a too-s
How Meta Groups Your Audience by Shopping Stages
Lucas and Luna dive into how Meta's ad system groups Facebook and Instagram users by their shopping stage — from cold browsers to warm cart abandoners. Using real examples like a DTC skincare brand and a local gym, they explore how stage-based targeting changes ad copy, creative, and bidding. They also unpack Meta's shift toward predictive modeling, the limits of stage labels, and why understandin
How Meta Tests Ad Creative with Incremental Lift
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore how Meta uses incremental lift testing to measure the true impact of ad creative—beyond just clicks and conversions. They break down the mechanics of holdout groups, the difference between incremental and absolute lift, and why this method is reshaping how brands allocate budget. Using a concrete example of a DTC skincare brand,
How Meta Predicts Lifetime Value to Rank Your Ads
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into how Meta is shifting from conversion value to predicted lifetime value (pLTV). They explore what pLTV actually measures, how it differs from a simple conversion value, and why a $30 purchase from a loyal customer can outperform a $100 one-off sale. Using the example of a subscription skincare brand, they trace how Meta's algori
How Meta Uses Conversion Value to Rank Your Ads
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore the often-misunderstood concept of conversion value in Meta's ad ranking system. They explain how the value optimization algorithm looks beyond simple conversions to estimate the worth of each action, and how that reshapes bidding, delivery, and creative strategy. Using a concrete example of an online furniture store, they illust
How Meta Uses Predictive Audiences to Find Future Customers
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore Meta's predictive audience targeting, a feature that uses machine learning to identify users likely to take a specific action—like making a purchase—before they even see your ad. They break down how it differs from classic interest-based or lookalike audiences, using a real-world example of a DTC skincare brand that saw a 23 perc
How Facebook Ad Frequency Caps Shape Your Campaign
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore the hidden mechanics behind Facebook's ad frequency cap — the tool that prevents your ads from stalking customers into oblivion. They break down what frequency actually measures (average exposures per person), why Meta's default settings often lead to over-saturation, and how smart marketers set caps to balance reach and recall.
How Meta Uses Advantage Plus Shopping Campaigns
In this episode of Facebook Ads with Fexingo, Lucas and Luna dig into Meta's Advantage Plus Shopping Campaigns and what they actually do under the hood. They walk through how the system automates audience discovery, creative optimization, and budget allocation, and why it sometimes outperforms manual campaigns—and when it might not. Using a concrete example of a mid-size retailer, they explain the
How Facebook Ads Use Incremental Lift Testing
Most marketers trust Facebook's own numbers when they look at a campaign report. But those numbers can be misleading. In this episode, Lucas and Luna dig into incremental lift testing — the method that tells you what Facebook ads actually added, versus what would have happened anyway. They walk through a concrete example: a DTC skincare brand that ran a geo holdout test in two states, and how the
How Facebook Ads Use AI to Personalize Ad Copy
Lucas and Luna dig into how Meta is using AI to automatically generate and test ad copy at scale — a major shift from hand-written headlines. They break down what this means for small advertisers, how to stay in control while leveraging the tool, and why the human touch still matters in a world of clever machines. Expect practical takeaways you can use in your next campaign.
#FacebookAds #MetaAdv
How Facebook Ads Use Ad Creative Testing to Beat Creative Fatigue
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore how systematic ad creative testing helps advertisers beat creative fatigue and keep performance strong. They break down the science of creative rotation, why frequency caps alone aren't enough, and how Meta's delivery system rewards fresh creative. Using a real example of a DTC brand that cut cost per acquisition by 18 percent ju
How Meta Uses Video Ad Breakthroughs for Brand Lift
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore Meta's evolving video ad formats and their surprising impact on brand lift. They break down the rise of Reels ads, the science behind short-form creative, and how brands can use video to drive both awareness and conversions. With real-world examples and practical tips, you'll learn why video is no longer optional for advertisers
How Meta Creates Your Custom Audience from a Simple Seed
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into the mechanics of custom audiences—the foundation of Meta's targeting. They explore how a simple seed—a customer list, a pixel, or even a video view—becomes a tailored audience for your ads. Using the example of a fictional coffee subscription brand, they break down the process: from hashing emails for privacy to Meta's machine
How Facebook Ad Retargeting Bounces After the Click
Lucas and Luna dig into the mechanics of Facebook ad retargeting in 2026 — specifically, how Meta decides who sees a retargeted ad after they've left your site. They walk through the difference between pixel-based and server-side retargeting, why frequency caps matter more than ever, and how a simple product-page view can turn into a week-long sequence of ads that actually convert. With the iOS pr
How Meta Benefits from Advantage Plus Audience Expansions
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore a quietly powerful lever in Meta's ad platform: Advantage+ audience expansion. With iOS 14 signal loss still reshaping targeting, Meta has been pushing advertisers to let its AI widen their audience beyond strict targeting parameters. But what does that mean for your campaign performance? Lucas walks through how Advantage+ expans
Why Meta Is Capping Ad Frequency at Five
Meta is testing a new global frequency cap of five impressions per ad per user per week, a shift that could reshape how advertisers think about reach and fatigue. Lucas and Luna dig into the mechanics, the trade-offs, and what it means for small businesses and performance marketers. They explore why frequency caps have historically been a blunt tool, how the cap could force better creative discipl
How Meta AI Shapes Ad Delivery and Creative
Lucas and Luna explore how Meta's machine learning system, partially powered by Meta AI, now influences ad delivery and creative generation. They break down the shift from manual audience targeting to AI-driven exploration, the implications for creative testing, and the new skills marketers need. The conversation touches on Meta's performance-driven approach, the role of the Conversions API, and h
Why Facebook Ad Frequency Caps Fail
In this episode, Lucas and Luna drill into a specific failure mode of Facebook advertising: the frequency cap. Most marketers set a frequency cap at 2 or 3 and assume their ads won't annoy anyone. But Meta's delivery system doesn't always respect those caps, and even when it does, the cap doesn't guarantee the right cadence. Lucas breaks down how Meta's ad delivery actually weighs frequency agains
How Facebook Ads Use Value-Acknowledgment to Win Customers
In episode 146 of Facebook Ads with Fexingo, Lucas and Luna explore how acknowledging a prospect's existing effort—like a blog post they wrote or a video they made—creates powerful ad engagement. They break down the psychology of reciprocity, walk through a concrete B2B SaaS case study that lifted click-through rates by 38 percent, and discuss how to apply this technique without sounding patronizi
How Seed Selection Shapes Facebook Lookalike Audiences
In this episode, Lucas and Luna dive into the mechanics of Facebook lookalike audiences, focusing on the critical role of seed selection. They explain how the size, recency, and quality of your seed audience directly impact campaign scale, cost per acquisition, and conversion quality. Using the example of a DTC skincare brand, they walk through choosing between a one-percent and five-percent looka
Facebook Ads Negative Keywords Stop Wasted Spend
In this episode of Facebook Ads with Fexingo, Lucas and Luna explore the unsung hero of efficient ad spend: negative keyword targeting. With CPMs climbing in mid-2026, every wasted impression hurts. Using the example of a high-end furniture retailer, they show how excluding terms like 'cheap' or 'used' before launch can cut cost-per-acquisition by 30%. They discuss Meta's keyword exclusion lists,
How Facebook Ads Manage Ad Fatigue with Frequency Caps and Creative Rotation
In this episode of Facebook Ads with Fexingo, Lucas and Luna dive into the hidden cost of ad fatigue—when users see the same ad too many times and engagement collapses. They explore how frequency caps work at the campaign and ad-set level, why optimal frequency varies by industry, and how creative rotation keeps audiences fresh. Real-world examples include a clothing retailer that cut frequency fr
How Meta's Audience Quality Score Shapes Ad Delivery
Facebook's Audience Quality Score is a behind-the-scenes metric that determines whether your ads get shown cheaply or expensively. In this episode, Lucas and Luna break down how the score is calculated—using engagement, relevance, and negative feedback—and how a DTC skincare brand lowered its CPM by 30% simply by refining its targeting. They also share practical steps to monitor and improve your s
How Facebook Ads Use Ad Scheduling for Cost Efficiency
In episode 141 of Facebook Ads with Fexingo, Lucas and Luna break down how ad scheduling (dayparting) can slash cost per acquisition by up to 22%. They walk through a real retail client case, discuss mobile audience behavior by daypart, and show how to combine scheduling with lifetime budgets and automated rules. Plus a quick note on how listener support keeps the show independent.
#FacebookAds #
How Facebook Ads Use Geofencing for Hyperlocal Targeting
In this episode, Lucas and Luna dive into hyperlocal geofencing on Facebook, using the example of Houndstooth Coffee in Austin, which targets ads within a quarter-mile radius of its main competitor. They break down how geofencing works, the technology behind it (GPS, Wi-Fi, Bluetooth beacons), and the pros and cons: higher conversion rates vs. privacy concerns. They also discuss best practices, in
How Facebook Ads Campaign Budget Optimization Automates Spend Allocation
In Episode 139 of Facebook Ads with Fexingo, Lucas and Luna dive into Campaign Budget Optimization (CBO) — a feature many advertisers underutilize. They explain how CBO automatically shifts budget to the best-performing ad sets, eliminating the need for manual rebalancing. Using a real-world example from a DTC brand that reduced CPA by 15 percent, they break down when to use CBO versus individual
How Facebook Ads Use the Conversions API for Server-Side Tracking
In this episode, Lucas and Luna dive deep into Meta's Conversions API (CAPI), the server-side tracking tool that's become essential after iOS 14. They walk through how it differs from the pixel, why it reduces data loss, and share a real-world example from a mid-size e-commerce brand that saw a 15% lift in attributed ROAS after implementation. Plus, practical tips on event deduplication, partner i
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
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McKinsey on Consumer and Retail
megahired.com
