Stop Wasting Budget on BOTS

Are your B2B ads actually reaching humans? Dr. Augustine Fou (founder of Fou Analytics) joins Matt to expose exactly how ad fraud infiltrates Google, LinkedIn, Meta, Reddit, CTV, and programmatic — and the free, simple controls you can put in place today to stop burning budget on bots.Chapters:00:00 – Intro & Dr. Fou's Background05:37 – Google Search & Partner Network Fraud09:31 – Cookie Matching & Bot Impersonation13:58 – How to Control Google Ad Fraud17:27 – PMax & Inclusion Lists19:26 – Reddit Ad Fraud Explained22:17 – LinkedIn Audience Network: Turn It Off24:55 – CTV Fraud: What You're Really Buying34:21 – Why Programmatic Started the Problem37:50 – Inclusion Lists vs. Exclusion Lists41:05 – CPM is a Price, Not a Cost47:31 – Visual Tells: Pixel Stuffing, Non-Rendered Ads52:23 – Frequency Capping Failures#AdFraud #B2BMarketing #ProgrammaticAdvertising #LinkedInAds #GoogleAds #CTVAdvertising #BotTraffic #DigitalMarketing #B2BAdvertising #MarketingROI #FouAnalytics #mediabuying #AdTechWhat is ad fraud in B2B advertising?Ad fraud occurs when bots — not humans — are served your ads, clicking and loading them to generate fraudulent revenue for bad actors. It affects every major platform including Google, LinkedIn, Meta, Reddit, and CTV.How do I stop ad fraud on LinkedIn?Simply uncheck the LinkedIn Audience Network checkbox in your campaign settings. According to Dr. Augustine Fou, this one free action eliminates roughly 90% of the most obvious fraud on the platform.What is the difference between CPM as a price vs. a cost?CPM is a price per thousand impressions — not your total cost. A $3 CPM isn't cheaper than a $30 CPM if you're forced to buy 10x the impressions to hit your goals, most of which may be fraudulent.Is CTV advertising safe from ad fraud?No. Bad actors can fabricate CTV bid requests without owning any TV or streaming device, declaring fake inventory as premium placements. Independent third-party pixels are the only reliable way to verify where your CTV ads actually ran.What is an inclusion list in programmatic advertising?An inclusion list is a curated set of approved sites and apps where your ads are allowed to run. Since there are infinite fraudulent sites but a finite number of legitimate ones humans actually visit, starting with an inclusion list is far more effective than trying to block bad actors one by one.

Matt Sciannella unveils Refine Labs' newest marketing stage measurement tool: the Marketing Maturity Model.Is your business doing reactive marketing? Are you market leaders? Or are you somewhere in between, trying to scale up to a stronger presence?Matt talks through the model and how to understand which stage you may be at.

Earlier this year, Evan Hughes conducted a survey to marketers, trying to find some insight into what they're really facing right now. Well, the results are in, and the answers to one of the questions gave us some serious pause: "What would most likely cause you to change agencies?" 33% of respondents said they can't clearly explain their impact internally.  For obvious reasons, we wanted to spend some time with these answers and break down the potential reasons why marketers feel this way. Matt Sciannella took that time to dive into the potential whys behind this answer in the first episode of his new series: B2B Reality Check.  

Topics Covered Influencer marketing as a modern demand lever in a “feeds are flooded” environment (credibility + distribution vs polish)Building an influencer program as a repeatable system (not one-off posts)Aligning influencer strategy to GTM motion: PLG + sales-led dual motion, fast sales cycle, and audience behavior on LinkedInTalent sourcing: internal creators, power users, frontline thought leaders, executive narrative voices, and “entertainer/evangelism” creatorsUsing influencer content as paid social creative (thought leadership ads) and deciding what to amplifyProgram mechanics: 3-month trials, post cadence, onboarding, briefs, review cycles, and relationship managementIncentives tied to outcomes (PLG signup bonus, ARR percentage via UTM)Measurement options: cost per signup, CPM/efficient reach, ABM-style reach goals, qualitative signals, and attribution constraintsQuality control: “smell test” for AI slop, engagement pods, and meaningful comment engagementActivation workflow: first-hour engagement, “let it cook” windows, reporting, UTM updates for paid vs organic, and distribution trade-offsQuestions This Video Helps AnswerHow do you structure B2B influencer marketing so it drives demand (not just awareness) without becoming random acts of promotion?How should a B2B team align influencer strategy to GTM motion (PLG vs sales-led) and measurement constraints?What’s the best place to start: internal creators, power users, or external influencers?How do you choose influencer “types” (executive narrative, frontline education, entertainment/evangelism) based on goals?What contract length and cadence reduces the risk of declaring influencer “doesn’t work” too early?How do you turn influencer posts into paid social assets using thought leadership ads?What’s a practical incentive structure for creators tied to signups and revenue (UTM-based)?How do you spot inflated performance from AI-generated engagement or engagement pods?When should you promote a post, and when should you leave it organic?How can you evaluate influencer impact using CPM, reach, signups, and qualitative sales signals?Key TakeawaysIf you want results, avoid one-off influencer posts; start with at least a 3-month trial so performance can compound and audience association can form.In crowded feeds, influencer works because it combines trust with distribution; paid amplification (thought leadership ads) can make “small” creators valuable when the story is strong.Start sourcing from internal creators and product power users first; they’re cheaper, more credible on use cases, and their content can be promoted to the right audience.Make onboarding and relationships non-negotiable: demo the product, ideate together, and set a clear review cycle so feedback doesn’t show up only as late-stage Google Doc edits.Tie incentives to business outcomes and effort: bonus for PLG signups over the contract window, percentage of ARR from UTM-driven revenue, and paid boosts for high-performing posts (which also benefits the creator’s audience growth).Don’t boost everything: let posts run organically first, then selectively promote what’s likely to work in paid (not every organic winner is a paid winner).Quality control requires human judgment: scan comments and engagement patterns for meaningful conversation vs AI slop, pods, or gamed metrics.

SummaryChris Ford, Lead Designer at Refine Labs, shares how creative professionals can harness AI without compromising artistic integrity. Speaking to an audience navigating the rapid shift toward automation in design and marketing, Ford clarifies that tools like Midjourney and Runway are accelerators—not replacements—for real strategic thinking. His journey from teen coder to strategic designer reveals the mindset shift creatives must adopt to thrive in a performance-driven, AI-infused landscape. This episode demystifies AI's impact on modern B2B marketing workflows while reinforcing the value of human empathy, nuance, and storytelling.Topics CoveredAI as a creative partner in modern B2B marketingCreative strategy in a performance-first demand gen environmentHow Refine Labs designers adapt AI for speed, not shortcutsBrand storytelling vs. AI outputCreative autonomy and process efficiencyFree and paid AI tools for image and motion designNavigating the psychological shift toward automationThe future of human creativity in AI-saturated workflowsStrategic experimentation and creative boundariesQuestions This Video Helps AnswerHow are B2B creatives using AI tools like Midjourney and Runway today?What’s the right mindset for using AI in design without losing creative control?Where should human creativity draw the line with AI-generated content?What tools help accelerate creative workflows without sacrificing originality?How should creatives adapt to AI without fearing job replacement?What is the future of creative work in AI-augmented environments?Jobs, Roles, and Responsibilities MentionedGraphic DesignerCreative StrategistPerformance MarketerContent CreatorVisual DesignerCopywriterMarketing TechnologistBrand StrategistAI Prompt Engineer (implied role)Key TakeawaysAI accelerates design iteration but doesn’t replace creative judgment or empathy.Tools like Midjourney, Runway, and ChatGPT help visualize concepts quickly and reduce time spent on repetitive tasks.Refine Labs designers use AI to test ideas faster, not to generate final creative without human input.The "line" of AI involvement depends on complexity, originality, and personal creative ethics.Being strategic with experimentation ensures AI enhances—rather than dilutes—brand quality.The coming shift isn’t AI vs. humans, but AI with humans who adapt and lead.FAQWhat AI tools does Chris Ford use most in his creative workflow?Midjourney for image generation, Runway for animation, and ChatGPT for ideation and refining language.Is AI replacing creative jobs in B2B marketing?Not directly. Ford explains that AI requires human oversight and strategy, making creatives who adapt more valuable—not obsolete.How does Refine Labs integrate AI in its design process?By using AI to accelerate idea generation and reduce manual work, while keeping creative direction and brand storytelling in human hands.Are there free AI tools creatives can explore?Yes. Midjourney offers a limited free trial, and tools like Google Gemini are free. Search “AI tools” with “free” in quotes to discover more.What’s the biggest creative challenge when using AI?Time lost on prompt engineering and editing outputs. Not all tools produce high-quality or precise results, so human refinement is still essential.Quoted Highlights“AI gives me the options, but my creativity gives me the direction.” – Chris Ford [00:09:11]“It’s not just pixels—it’s purpose.” – Chris Ford [00:22:30]“I never saw AI as a threat. I saw it as a collaborative tool.” – Chris Ford [00:05:12]“Strategic thinking without AI is still my foundation. These tools just optimize my workflow.” – Chris Ford [00:24:10]“If you want AI-created results, you need to be okay with AI-level quality.” – Chris Ford [00:21:02]

Topics CoveredAI efficiency vs. AI opportunity in modern B2B orgsUse cases across Claude, Gemini, Copilot, and ChatGPTClaude for Excel outperforming native pluginsAI-powered brand visibility audits (AIO, GEO)Building MVPs from product demos using GeminiAutomating reporting and funnel analysis with ChatGPT & GeminiCustom GPTs for keyword analysis and lead quality reviewsAI system design in regulated or high-security environmentsFramework-based AI prompting for repeatable resultsTesting rigor and prompt engineering for trustable AI outputQuestions This Video Helps AnswerHow can B2B marketing teams use AI to save time and create net-new strategic opportunities?What LLM (Claude, ChatGPT, Gemini, Copilot) is best for specific tasks like Excel, brand analysis, or creative reviews?How do I know if AI-generated reporting is accurate enough to trust?What’s a good prompt structure to consistently get usable output from ChatGPT or Gemini?How can I explain AIO (AI Optimization) visibility and results to executives?Jobs, Roles, and Responsibilities MentionedMarketing teamsSales teamsFinance and accounting departmentsHR and admin functionsDemand gen strategistsOperations and supply chain leadersAI consultants and systems integratorsCreative and copywriting leadsIT and cybersecurity teamsExecutive and portfolio leadershipKey TakeawaysAI tools should be evaluated by outcome, not branding—Claude may outperform Copilot in Excel.Reframing workflows to be AI-native rather than AI-assisted unlocks transformational gains.Demand marketers can use LLMs to streamline reporting, extract funnel insights, and improve creative alignment.Framework-driven prompting (like SPEC) helps generate consistent, high-trust outputs.Custom AI workflows (e.g., for lead scoring, brand checks) can scale across clients and teams without deep coding.Generative AI is a tool for internal enablement, not just public content.

Erik Sena, Copy Manager at Refine Labs, shares his creative journey and how AI is reshaping the modern copywriter’s toolkit. This honest and insightful discussion explores the human side of marketing innovation and the future of creative work.Speakers and RolesErik Sena – Copy Manager at Refine Labs; leads brand voice efforts internally and across client accounts, overseeing multiple writers and creative outputSteph Crugnola– Host of Stacking Growth: Called to ActionEvan Hughes – Co-host; provides perspective on marketing leadership and AI pressuresTopics CoveredEric’s path into copywriting via creativity and pop culture inspirationEarly perceptions and hesitations around AI in creative rolesEvolving use of ChatGPT for creative brainstorming and brand alignmentInternal and external pressures driving AI adoption in marketingHuman vs AI: identifying what remains uniquely human in creative outputUsing tools like creative scorecards to evaluate tone and brand matchPredictions for a more human-centric creative futurePersonal growth and reflection in a rapidly changing industryQuestions This Video Helps AnswerHow can marketing creatives embrace AI without losing their voice?What are effective ways to use ChatGPT in a brand copywriting role?How do you balance human creativity with AI-enhanced workflows?What does it mean to stay human-first in a tech-heavy marketing world?What trends are shaping the future of creativity in marketing?Jobs, Roles, and Responsibilities MentionedCopywriter, Copy Manager, Creative Director, Designer, Art Director, Screenwriter, Marketing Leader, AI Prompt Engineer (implied use), Content Reviewer, Stakeholder (internal and client-side)Key TakeawaysAI is best used as a tool for efficiency and ideation, not replacementHuman creativity, emotion, and intuition remain irreplaceable in brand messagingPressure to adopt AI stems from both time constraints and industry evolutionCreative scorecards using AI can help align content with brand toneStaying proactive and adaptable is essential in modern marketing careersTimestamps[0:01:01] Eric shares his early love for storytelling and creativity[0:02:14] Inspiration from Mad Men leads to a career pivot into advertising[0:04:33] Eric’s first real encounter with AI during the MidJourney/DALL-E rise[0:06:25] Why pressure (internal and external) pushed him to embrace AI[0:07:29] Tools used: ChatGPT as a creative partner and editing assistant[0:11:30] Use case: Creative scorecard to measure brand tone alignment[0:14:28] Coping with imposter syndrome and AI fear as a creative[0:19:42] Reflections on being a “multi-hyphenate” creative[0:23:03] Prediction: A return to human-first creativity in the next era[0:25:17] Career advice for new marketers: be proactive, think 10 steps aheadFrameworks and Concepts MentionedCreative Scorecard (internal framework to assess brand tone fit)Human-first marketing (ethos vs automation-heavy workflows)Multi-hyphenate creatives (embracing multiple creative roles)"Iron sharpens iron" mindset in creative improvementAI as thought partner vs AI as creator

This conversation explores how Refine Labs drives measurable B2B SaaS growth through demand strategy, paid media optimization, creative execution, and AI-era marketing fundamentals. Listeners gain a clear understanding of how modern demand generation, positioning, and strategic rigor create predictable pipeline and revenue outcomes.Topics CoveredRefine Labs’ evolution, revenue milestones, and agency repositioningStrategic focus on digital strategy, paid media, creative production, and demand generationThe Brand–Demand–Expand model for allocating budget and improving pipelineData-driven onboarding: audits across paid media, creative, ICP, website, attribution, content, and journey frictionDemand creation vs. demand capture and how to rebalance budgetsFounder-led marketing vs. diversified marketing enginesRetention, upsell, and cross-sell as key growth levers in enterpriseAI’s real impact on marketing, strategy, measurement, and competitive advantageWebsite clarity, LLM discoverability, and digital PR for AI-era visibilityAuthenticity, trust, and human content in an AI-saturated worldQuestions This Video Helps AnswerHow can B2B SaaS companies increase qualified pipeline by 50% or more within 8 months?What should a modern B2B demand generation agency actually deliver?How do you balance budget across brand, demand creation, and demand capture?How should companies approach self-reported attribution at scale?What’s the role of founder-led marketing now that organic reach is declining?When should companies prioritize retention and expansion over new acquisition?How is AI affecting content, measurement, and go-to-market strategy?How do B2B brands optimize for ChatGPT, Perplexity, Grok, and Google AI overviews?Jobs, Roles, and Responsibilities MentionedCEOCOOChief Operating Officer (previous role)FounderAccount ManagementCustomer SuccessPaid Media ManagerMarketing LeaderCFOSalesPost-sale functionsDigital marketing teamsCreative and content teamsKey TakeawaysRefine Labs’ strongest levers remain digital strategy, paid advertising, and creative execution—these consistently deliver measurable pipeline gains.Companies often overweight short-term demand capture; rebalancing budgets toward brand and demand creation improves long-term efficiency.A rigorous onboarding process—auditing ICP, messaging, media accounts, website friction, attribution, content, and revenue history—is essential for custom growth strategy.Founder-led marketing is an asset but not a sustainable long-term strategy; brands need diversified engines not tied to one person.Enterprise companies can drive massive growth from retention, upsell, and cross-sell, often surpassing net-new acquisition impact.Authenticity, human insight, and trust are becoming more valuable as AI makes generic content ubiquitous.LLM visibility depends on consistent positioning, clear messaging, and strong third-party brand mentions—not hacks or shortcuts.AI should be used only where it improves outcomes: better insights, faster execution, smarter experiments, and strategic amplification.Frameworks and Concepts MentionedBrand–Demand–Expand modelDemand creation vs. demand captureClosed-won / closed-lost analysisIdeal Customer Profile (ICP) validationSelf-reported attributionShare of searchDigital buying journey auditRetention / upsell / cross-sell leversAI-powered benchmarking and structured experimentation

This roundtable explores how B2B teams can use modern demand strategies, B2C channels, and incrementality testing to prove true ad impact in 2026. The conversation highlights omni-channel expansion beyond LinkedIn, data-driven measurement, and practical ways to validate lift across pipeline and revenue.Speakers and RolesMatt Sciannella – Host and practitioner running paid media for multiple B2B clients; shares real client use cases, lift results, and practical frameworks for measurement and experimentation.Keith Putnam-Delaney – CEO of Primer; former Dropbox growth leader; expert in B2B expansion into B2C channels, audience targeting, mobile–desktop measurement problems, match rates, and lift testing.Authority: Both speakers bring hands-on experience running B2B paid programs at scale and deep insight into attribution limits, ABM constraints, and cross-channel growth strategies.Topics CoveredRising costs and saturation in traditional B2B channels (LinkedIn, Google).Why B2B brands must expand into B2C channels like Meta, YouTube, Reddit, TikTok.Mobile vs. desktop measurement gaps and cross-device limitations.Signal loss, attribution decay, and the need for server-side events.How to validate true impact using lift tests and incrementality.CPM efficiency comparisons across channels.ABM unbundling and alternatives to large, monolithic ABM platforms.Using holdout groups, geographic lift, and omnichannel testing strategies.Real client examples showing lift in inbound, share of search, and revenue.How audience targeting tools unlock TAM expansion outside LinkedIn.Questions This Video Helps AnswerHow do B2B marketers prove real ad impact without relying on last-touch attribution?How can brands expand beyond LinkedIn and still target ICP buyers effectively?What causes demand generation inefficiency and how do you fix it?How do mobile–desktop and cross-device gaps distort performance data?What is the right way to design lift tests or incrementality experiments?How can small TAM companies still scale using B2C channels?What alternative ABM workflows exist beyond large enterprise platforms?How should B2B teams interpret rising CPMs and shrinking reach?Jobs, Roles, and Responsibilities MentionedB2B growth marketingGrowth teamsSales operations managersRevenue operations rolesVPs of MarketingRegional sales directorsMedical device surgeons (ICP example)Marketing, sales, financeInfosec teamsPLG teamsField marketingOutbound sales teamsKey TakeawaysAttribution alone cannot prove channel value; lift tests reveal true incrementality.B2B audiences exist far beyond LinkedIn, and CPM efficiency is often dramatically higher on Meta, Reddit, and YouTube.Mobile-heavy consumption breaks MTA models; server-side signals and conversion APIs are now essential.ABM can be unbundled using smaller, more flexible tools and alternative data sources.Expanding TAM and using audience targeting unlocks more reach and stronger pipeline outcomes.Share of search is a powerful leading indicator for demand creation impact.Omnichannel experimentation paired with structured test design improves confidence with finance and executive teams.Frameworks and Concepts MentionedIncrementality testingHoldout groupsChannel-based lift testsGeographic lift testsAccount list split testingLeading vs. lagging indicatorsShare of search analysisServer-side conversion APIs (CAPI)Cross-device measurementAudience match ratesABM unbundlingCPM efficiency analysis

0. SummaryThis episode explores how Refine Labs lead designer Monica Beesting navigates creativity, design workflows, and authenticity in the AI era. Listeners gain practical insight into how human-driven creative direction remains essential even as AI tools expand what’s possible in modern marketing.1. Speakers and RolesSteph Cragnola – Host; marketer guiding conversations about growth, change, and modern marketing challenges.Evan Hughes – Host; marketing practitioner offering perspective on industry shifts and AI adoption.Monica Beesting – Lead Designer at Refine Labs; former museum designer turned marketing creative who brings deep experience in visual storytelling, brand identity, and conceptual design.2. Topics CoveredHow designers adapt to the rise of AI in marketingUsing AI to extend creative capability without losing brand voiceHuman art direction vs. AI-generated imageryEthical boundaries and intellectual property considerationsCollaboration patterns inside modern marketing teamsEmotional and professional pressures surrounding new creative toolsMaintaining quality and authenticity in saturated content environmentsIndividual creative processes and where AI fits within them3. Questions This Video Helps AnswerHow should creatives use AI without losing their unique voice or standards?What does “art direction” look like in an AI-driven workflow?How can brands maintain authenticity when AI-generated content becomes widespread?What are healthy boundaries for using AI in creative work?How should marketing teams think about tool adoption and individual creative processes?How do you balance efficiency with originality in a crowded content landscape?4. Jobs, Roles, and Responsibilities MentionedDesigner / Lead DesignerArt DirectorCreative Team / Graphic DesignersMarketersInterns (museum, marketing)Developers / WordPress implementationClient-facing creative roles5. Key TakeawaysAI expands creative possibility but still requires strong human direction to produce cohesive, meaningful visuals.Each designer must identify their personal boundaries and ethical comfort level with AI tools.Creative tools should reduce friction, not introduce complexity—adoption should be purposeful, not reactive.Internal collaboration, especially inside design teams, remains crucial for troubleshooting and skill building.Unique, human-driven storytelling continues to differentiate brands as AI-generated content becomes ubiquitous.Designers can embrace AI as a way to bring imaginative concepts to life—not as a replacement for original thinking.6. Frameworks and Concepts MentionedArt direction for AI-generated imagesImage curation vs. image creationConceptual storytellingWorkflow efficiency vs. creative integrityEthical use of AI and avoiding IP infringement