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

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....

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...