The Weekly Fraudcast

Fraud teams are no longer just fighting chargebacks; they are battling sophisticated logistics rings and AI-powered returns abuse.In this episode of The Weekly Fraudcast, Vito Petruzzelli and Gena Rivera bring on John Mayover, Senior Manager of Ecommerce Fraud and Compliance at URBN.John reveals how he accidentally started his 16-year fraud career by solving a puzzle at a bank, leading him to uncover massive operations like the "Cousin Network"—an insider-threat ring at a FedEx hub.The conversation dives deep into the post-pandemic explosion of returns fraud. John details how bad actors are exploiting "keep it" policies and using AI-generated scripts to socially engineer customer service reps.He also outlines his "Five Families" framework, proving why cross-departmental unity is the only way to stop modern ecommerce fraud.👇 WHAT WE COVER:🔹 The Cousin Network: Uncovering a sophisticated supply chain theft ring involving insider logistics help.🔹 Returns Abuse Tactics: How fraudsters use dollar-store shirts and iron-on logos to scam generous return policies.🔹 The AI Threat Reality: Why shopping bots aren't the primary concern for fashion retail, but AI-driven social engineering is.🔹 The Five Families: Uniting fraud, customer service, warehouse, supply chain, and tech to close communication gaps.⏳ EPISODE CHAPTERS:00:00 - Intro03:45 - Accidental fraud career discovery05:11 - Bank puzzle solving breakthrough08:37 - Building fraud programs from scratch10:38 - First major fraud scheme uncovered12:25 - Cousin conspiracy at Fedex hubs14:23 - Returns abuse explosion post pandemic16:45 - Five families collaboration strategy18:21 - Tech team builds custom dashboards21:27 - Stakeholder relationship building tactics24:00 - Technology gaps in fraud detection26:34 - Systems integration success story28:36 - Handling rejection and pushback31:27 - AI commerce current fraud impact32:36 - Social media monitoring operations36:21 - Subscription model fraud patterns38:55 - Future fraud evolution predictionsJoin the Fraudcast Ecosystem:🔗 Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/🔗 Connect with Gena on LinkedIn: https://www.linkedin.com/in/gena-rivera/🔗 Connect with John on LinkedIn: https://www.linkedin.com/in/john-mayover-bb2a33102/

Digital wallets are not created equal. In this episode of The Weekly Fraudcast, Vito Petruzzelli and Gena Rivera dissect the explosive spike in digital wallet fraud hitting merchants right now.While Apple Pay’s strict biometric verification keeps fraudsters at bay, Google Pay’s lax provisioning rules have led to a shocking fraud rate on its transactions.Vito and Gena break down how bad actors are rapidly loading stolen credit cards into non-biometric wallets, bypassing legacy fraud detection entirely.They give you the exact tactical playbook for extracting granular provisioning signals and biometric flags from your payment gateways before AI agents and crypto wallets make the problem worse.👇 WHAT WE COVER:🔹 The Digital Wallet Illusion: Why treating Apple Pay and Google Pay equally is a massive operational failure.🔹 The Digital Wallet Fraud Spike: How fraudsters are exploiting non-biometric provisioning to launder stolen cards.🔹 Data Dictionary Demands: How to fight your acquiring bank for the underlying wallet data they are hiding from you.🔹 Future-Proofing: Navigating the emerging risks of cryptocurrency wallets and stable coins.⏳ EPISODE CHAPTERS:00:00 - Intro03:22 - Digital wallet fraud explosion04:12 - Stolen credit cards in Google Pay08:33 - Google Pay fraud rate revealed11:22 - Provisioning signals for fraud detection14:42 - Requesting data from payment providers16:25 - Firearms industry digital wallet restrictions18:06 - Biometric authentication flags for disputes23:18 - Payment provider transparency challenges28:36 - Issuing vs acquiring bank dynamics32:27 - Fighting payment provider pushback strategies36:18 - Cryptocurrency wallet fraud risks40:24 - Google Pay disabled due to fraud42:50 - Data dictionary requests from providers47:44 - Next week Jared G hosts48:53 - VAMP threshold violations breaking news🔗 Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/🔗 Connect with Gena on LinkedIn: https://www.linkedin.com/in/gena-rivera/

Account takeover attacks have surged 40% over the past year, as bad actors increasingly target loyalty points and stored payment methods. In this episode of The Weekly Fraudcast, Vito Petruzzelli and Gena Rivera tackle one of e-commerce's fastest-growing threats.They break down how fraudsters are spinning up typosquatting domains and exploiting accounts that have been dormant for over a year.Vito shares six empirical signals you can use to fingerprint account takeover attempts, including tracking password reset timing and measuring device fingerprint "lie counts".Katarina, Thomas, Deanne, and Shelley also share real-world challenges covering everything from fake police reports to freight forwarding schemes.👇 WHAT WE COVER:🔹 Dormant Account Danger: Why inactive accounts represent 92% of ATO fraud.🔹 The "Lie Count" Metric: How device fingerprinting discrepancies expose deliberate obfuscation.🔹 Tactical Defense: Using pre-discount order amounts and SMS friction to block bad actors.🔹 NPS Manipulation: How fraud rings are gaming customer satisfaction scores to hide their tracks.⏳ EPISODE CHAPTERS:00:00 - Intro02:29 - Account Takeover Fraud Rising 40 Percent05:36 - Loyalty Points and Stored Value Under Attack08:12 - Death of Single Signal Supremacy11:05 - 148 Typosquat Domains Found for One Brand13:45 - 6 Key Signals to Fingerprint ATO17:46 - PayPal Hit Hard by Account Takeovers20:24 - Fake Police Reports and Chargeback Challenges26:29 - Pre Discount Order Amount Strategy29:00 - 80 Orders Per IP During ATO Attacks33:02 - Adding Friction Without Hurting NPS36:23 - Freight Forwarding Address Problems40:52 - Free ATO Analysis Consultation Offer44:00 - Gift Card Fraud Ring Tactics46:02 - Next Week Preview on Gift Cards🔗 Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

While the industry panics about future AI bots, the real threat is draining wallets right now.We are broadcasting live from the floor of the Merchant Risk Council (MRC) 2026 conference in Las Vegas.In this episode, Gena and Vito cut through the hype to address the $86 billion consumer scam crisis that is destroying brand trust before customers even reach your checkout page.It is time to reframe how we think about the manual review queue.Fraud analysts aren't being replaced—they are being upgraded. Vito breaks down how elite fraud leaders are pivoting their teams away from repetitive transactional decisions and turning them into strategic threat intelligence hunters.By using AI tools like Claude to handle the heavy lifting of brand protection, human analysts are freed up to investigate complex false positives and build critical relationships across the business.👇 WHAT WE COVER:🔹 The $86B Crisis: Why consumer scams are your problem, even if they happen off-platform.🔹 The AI Pivot: How to use Claude to automate dark web sweeps, catch typosquatting, and issue takedowns.🔹 The Analyst Upgrade: Reappropriating human talent for strategic thinking rather than manual busywork.⏳ EPISODE CHAPTERS:00:00 - Intro: Live from the Floor of MRC Vegas '2605:15 - The $86 Billion Consumer Scam Crisis12:30 - Why Nobody is Seeing a Wave of AI Agent Traffic Yet21:45 - The Evolution of the Manual Review Queue32:10 - Using Claude for Threat Intelligence & Brand Protection41:20 - Becoming the Ultimate Fraud Educator for Your Network48:20 - Outro: The Next Generation of Risk Teams🔗 Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

What happens when cybercriminals figure out how to trick the banks before they even trick the merchant?In this episode of The Weekly Fraudcast, Vito Petruzzelli dissects a massive, highly coordinated attack where fraudsters stole nearly $300,000 in luxury handbags in just 48 hours.Joined by fraud fighters Jessica Flores, De'Airra Belcher, Jared Gruenberg, Paula Zon, Matthew Blanchard, and more, the team breaks down the exact mechanics of this new threat. We uncover how bad actors are actively calling banks to change billing addresses (making stolen cards pass AVS perfectly) and using remote-access social engineering to hijack devices.More importantly, the panel drops a massive revelation: If you are paying for Account Takeover (ATO) chargebacks, you might be getting scammed twice. We reveal the specific Visa and Mastercard reason codes that prove banks are actually liable for these losses—not merchants.Key Takeaways:The anatomy of the $300K luxury proxy-IP scam.How to spot a "perfect" address match when the victim is in another state.How to use Visa/Mastercard rules to push back on invalid ATO chargebacks.Join the "Fraudcast" Community:Want the cheat sheets, PDF breakdowns, and tactical resources mentioned in these episodes? We don't put them behind corporate landing pages—we drop them directly to our community.🔗 Connect with Vito on LinkedIn to access the Masterclass resources: https://www.linkedin.com/in/vitopetruzzelli/

The reality of agentic commerce in 2025 is nothing like the hype promised. While everyone expected AI shopping agents to revolutionize Black Friday and Cyber Monday with 10-20% of traffic, what actually happened was a massive spike in AI search referrals, not autonomous purchasing.Vito Petruzzelli breaks down why agent commerce conversion rates remain terrible, taking 30+ minutes for simple purchases that often get declined by fraud systems anyway. The real story is how search behavior has fundamentally shifted - consumers now use ChatGPT to find deals and get referred to merchant sites, rather than having bots make purchases for them.Key topics covered:[00:00] Intro[02:42] Hollywood’s Ben Li[04:31] Miss Dee challenges customer service thinking[05:45] Fraud companies face duplication concerns[07:12] Weekly fraud risk discussion format[09:02] Agent commerce reality check begins[11:14] Eating crow on AI hype[12:11] Moltbook AI bots create existential crisis[14:30] Robots hire humans for tasks[16:03] Agent commerce theory versus reality[18:40] Cooper Flagg jersey purchase fails[20:32] The one Fraudcast episode you have to go back and listen to[21:05] Referral traffic spikes thirteen times[22:30] ChatGPT dominates AI search referrals[25:40] Discoverability challenges for merchants[26:12] Search patterns fundamentally shift away[31:31] Machine learning evaluates AI signals[35:07] Payment instruments determine everything, ultimately[38:53] Eight questions cross entire company[43:05] Manual review tags agent orders[45:07] Victim assisted fraud on steroids[47:12] Sleepy robot callers spotted[49:34] Granular segmentation provides fraud protection[51:22] Next week’s special guest runs a school of communicationsThe episode reveals the technical hurdles still blocking agent commerce, from PCI compliance issues to the challenges of exposing product catalogs to AI scrapers. Vito demonstrates how ChatGPT dominates AI referral traffic while other platforms like Claude and Gemini barely register.For fraud professionals, this means understanding new signals like unusual screen resolutions, hosting IPs from Virginia data centers, and bot strings in device APIs. The conversation covers how to segment this traffic, run A/B tests through manual review, and prepare for a world where discovery happens through AI agents even if purchasing remains manual.The discussion includes practical advice on testing your own website with ChatGPT's agent mode, identifying the signals these orders create, and building internal conversations around the eight critical questions every company needs to answer about agent commerce readiness.Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

What if you could start with the answers instead of drowning in spreadsheets when returns fraud hits your business? This episode reveals how AI and large language models can flip your investigation process completely backwards - starting from the headline impact and drilling down to individual bad actors.Vito Petruzzelli demonstrates a revolutionary approach to returns analysis that cuts through the traditional export-pivot-table nightmare. Instead of getting buried in hundreds of thousands of rows of data while the landscape shifts around you, see how you can instantly identify high-value customers against those responsible for abusive returns.The conversation digs deep into practical policy enforcement challenges with insights from fraud fighters across different industries. Shelley Soucy shares her battle-tested approach to separating legitimate "dressing room at home" shoppers from malicious actors, including her tiered restock fee strategy and instant refund restrictions.Key topics covered:[00:00] Intro[03:37] Why AI prevents analysis paralysis[06:05] The fraud investigation spreadsheet trap[11:05] Reframe returns using reverse engineering[14:53] Customer lifetime value drives decisions[16:10] Start with headlines not spreadsheets[18:06] Damaged item patterns reveal logistics issues[21:30] Finding high dollar return outliers[24:52] Building workflows for repeat offenders[28:31] Where to draw bad actor lines[32:01] Intent matters more than return rates[34:33] Instant refund thresholds save money[37:03] Calculating the perfect restock fee[40:23] Percentage based return fees work better[44:39] Moving beyond cart approval queuesMatthew Blanchard raises the critical question every business faces - where do you draw the line between good customers and bad actors? The discussion explores percentage-based fees, customer lifetime value calculations, and the psychology behind pricing thresholds that actually work.Justin Hicken breaks down a sophisticated returns management system, including membership programs that waive return fees for loyal customers while maintaining strict oversight of serial returners.Learn how to move beyond order-by-order approval decisions and start tackling the bigger revenue optimization opportunities that make you indispensable to leadership. This isn't about becoming better at declining transactions - it's about becoming the strategic problem solver your company needs.Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

Emma Linnane breaks down her unconventional path from radio broadcaster to fraud operations manager, revealing why customer service experience is the secret weapon most fraud fighters are missing.In this final episode of 2025, Emma shares her proven red box method for winning chargeback disputes, explains how she uses Facebook to catch first-party fraudsters through family connections, and discusses the cultural differences between fraud patterns in America versus Europe.From her early days getting hit with Visa fines to developing open source investigation techniques that save thousands in chargebacks, Emma demonstrates how understanding the customer experience transforms fraud detection. She reveals why friendly fraud makes up 60-70% of disputes and how proper documentation can flip those outcomes.Key topics covered:[00:00] Intro[03:46] Ireland to Boston fraud journey[08:17] Customer service builds fraud expertise[11:20] Answer first communication strategy[14:10] Chargeback hunting becomes career foundation[16:56] Red boxes face AI disruption[18:02] Europe versus America fraud differences[22:05] Cultural bias in customer service[26:18] Social engineering through kindness works[30:26] First party fraud detection methods[33:17] Open source intelligence investigation tactics[37:00] Chargeback response time allocation[39:52] Return fraud exceeds payment fraud[41:06] Floating rock burnout perspectiveEmma also discusses the future of fraud fighting in 2026, including the rise of return fraud potentially surpassing payment fraud, how AI will change chargeback representations, and why VAMP guidelines will reshape risk management strategies.Her closing message reminds us that while fraud work is intense, maintaining perspective on what really matters prevents burnout and keeps teams effective long-term.Connect with Emma Linnane on LinkedIn to learn more about her fraud fighting techniques and follow Signifyd for more fraud prevention insights.Subscribe for weekly fraud industry discussions and expert interviews that help you stay ahead of emerging threats.Connect with Emma on LinkedIn: https://www.linkedin.com/in/emma-linnane-6a7451a9/Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

Serge El Hachem from Lazer Technologies drops a masterclass on where ecommerce is heading and why your current approach might leave you behind.The big revelation? Websites as we know them could be extinct in 250 days. Sounds dramatic, but here's what's actually happening. Discovery is shifting from Google searches to AI agents like ChatGPT making product recommendations. Brands that aren't feeding these systems the right data - FAQs, reviews, comparison content - are getting buried while competitors who optimize for AI agents are winning.Black Friday data revealed something fascinating. Shoppers are spending more money but buying fewer items. It's not just inflation. Consumers are researching harder and choosing quality over quantity. Meanwhile, AI is taking over merchandising decisions, deciding which products get featured and when.But here's the gap nobody's talking about. AI shopping still has major limitations. You can't build a proper cart, compare multiple products easily, or get that full shopping experience we're used to. People are still opening 50 browser tabs and going back to actual websites to complete purchases.The winners in this new world will be brands with clear data, clear content, and conversations that convert. And here's the career opportunity - the people who know customers best, who understand their behavior patterns and pain points, are becoming the most valuable players in this AI-driven future.Key topics covered:[00:00] Intro[03:42] Building flash websites to ecommerce solutions[07:02] Why no two brands share identical blueprints[08:48] AI snake oil versus genuine business value[10:57] How AI transforms customer discovery patterns[14:22] Optimizing content for AI agent recommendations[18:44] Protecting against AI-driven fraud schemes[24:33] Black Friday reveals spending pattern shifts[28:00] AI takes control of product merchandising[32:27] Why shoppers still abandon AI checkouts[36:08] Websites become the vinyl records[38:20] Customer knowledge drives commerce success[40:28] Focus on clear data over AI replacementConnect with Serge El Hachem:Email: serge@lazertechnologies.comSubscribe for more insights on ecommerce fraud prevention and the future of online retail.Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

Address manipulation is one of the most overlooked fraud tactics hitting ecommerce businesses today. Fraudsters use sophisticated techniques to bypass velocity checks and denial lists by creating dozens of variations of the same address, exploiting your systems while still getting their packages delivered.This episode breaks down the most common address manipulation schemes including velocity evasion, denial list bypassing, collusion indicators, and phone agent exploitation. Learn why pre-purchase address cleaning actually hurts your fraud detection and discover the post-purchase normalization strategy that reveals hidden fraud networks.Key topics covered:[00:00] Intro[03:09] Address manipulation as fraud art form[04:44] Why fraudsters manipulate shipping addresses[05:57] Getting around velocity checks easily[07:19] Bypassing address denial lists completely[08:58] Geographic spoofing with nearby addresses[09:56] Collusion tactics in drop shipping[11:23] Compromising phone and chat agents[13:50] Post purchase normalization prevents friction[17:38] Google Address Validation API costs[20:31] Fuzzy matching logic explained simply[22:45] Signifyd already handles address normalization[25:40] College campus mule operations[29:01] White Pages Pro validates residents[32:01] Returns fraud using address manipulation[36:25] Fedex label manipulation for refundsThe discussion covers real-world examples from fraud professionals dealing with everything from apartment complex schemes to return fraud manipulation. Discover how criminals use portmanteau addresses to trick customer service agents and why focusing on supporting signals rather than the address itself leads to better fraud prevention.Join fraud prevention professionals sharing battle-tested strategies for staying ahead of evolving address manipulation tactics while maintaining a smooth customer experience.Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

The haunting specter of triangulation fraud is hitting major merchants hard this holiday season. Three players create the perfect storm - an innocent buyer seeking deals on marketplaces, a fraudster selling products they don't own, and a stolen credit card victim who gets hit with the chargeback.Here's how it works: A legitimate shopper finds your product listed below retail price on a marketplace. When they buy it, the fraudster uses a stolen credit card to purchase that same item from your actual store, shipping it directly to the buyer using their contact information. The buyer gets their discounted product in official packaging, but when the real cardholder sees the charge, they file a chargeback that lands on your merchant account.The warning signs are clear - marketplace listings under your retail price, sellers with few reviews or reviews for unrelated products, international shipping locations, and sponsored listings designed to appear first in search results.Key topics covered:[00:00] Intro[03:52] Triangulation fraud schemes targeting major merchants[06:36] Dark triangle fraud explained simply[08:42] How legitimate buyers get scammed unknowingly[10:08] Spotting triangulation fraud marketplace red flags[12:04] Call stolen card holders directly[14:21] Contact buyers who received stolen goods[18:42] Incentivize direct website purchases over marketplaces[24:31] Card testing targets higher value products[26:48] Gift cards see 10,000 order spikes[28:36] Quarter of good traffic uses VPNs[30:09] Second look recovers declined revenue[32:15] Free decline traffic evaluation offer[34:24] Fraudster manipulates customer service for refunds[37:37] AI generates convincing refund requests[40:01] Marketplace AI blocks legitimate fraud reportsCard testing has evolved beyond cheap items. With checker services disappearing, fraudsters now target products between 15 and 30 dollars. One merchant saw a 25 dollar gift card go from 5 orders per week to over 10,000 in a single day. Meanwhile, legitimate VPN usage has jumped from 11% to over 25% of good traffic, forcing risk teams to reconsider their proxy-based rules.The second look strategy offers massive potential. Taking declined orders and having them evaluated outside your data silo can recover 20 to 45 percent of falsely declined transactions. These recovered orders complete without chargebacks, turning your decline bucket into a revenue opportunity.The Fraudcast community shares real experiences with triangulation schemes, from marketplace sellers manipulating return tracking to fraudsters using AI-generated customer service requests. Legal teams are successfully shutting down marketplace accounts when merchants document the fraud properly and contact both the cardholder and the recipient.For merchants dealing with these attacks during the busy season, the key is knowing your products, monitoring volume spikes, and not being afraid to pick up the phone. When you call the person who received the item, they'll often admit they bought it from a marketplace at a discount, giving you the evidence needed to take action.Connect with other fraud professionals dealing with these same challenges in our Slack community where the conversation continues beyond these weekly sessions.Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

Jesse Martin-Alexander from Kasada reveals how sophisticated bot networks are preparing for Black Friday by creating fake accounts and exploiting pricing errors right now. These aren't your typical nuisance bots - they're organized operations that can devastate your holiday sales and customer experience.The conversation covers the real cost of bot attacks beyond just stolen inventory, including how over-aggressive bot protection can accidentally block legitimate customers, creating invisible revenue losses. Jesse explains why the traditional approach of making humans prove they're human through endless CAPTCHAs is failing, especially as AI agents begin to reshape e-commerce.Looking ahead to 2025, AI-powered shopping agents will create new fraud vectors while simultaneously offering legitimate commerce opportunities. The challenge lies in distinguishing between helpful AI agents and malicious bots masquerading as legitimate traffic.Key topics covered:[00:00] Intro[02:48] Jesse introduces bot protection strategies[04:41] How bots exploit pricing errors[06:06] Black Friday bot preparation timeline[08:02] Zero dollar checkout vulnerabilities exposed[10:01] Why blocking bots reduces revenue[12:21] Total cost of bot attacks[14:29] Breaking organizational silos effectively[18:34] AI agent commerce emergence explained[22:04] Fraud risks with AI agents[25:34] Peak season agent traffic predictions[28:17] Preparing for AI commerce unknowns[31:47] Agent identity verification challenges[36:39] When blocking creates false positives[41:00] Detecting perimeter security overcorrection[43:26] Risk exposure in changing landscapesConnect with Jesse Martin-Alexander on LinkedIn and learn more about Kasada's bot protection solutions.Subscribe for weekly fraud prevention insights and join our live community discussions every Wednesday.Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/

Manual review queues are about to explode during Black Friday and holiday season. Most merchants send 8-10% of orders to manual review, but without proper optimization, that could jump to 15-20% when volume increases 4x.Luke Van Hine, Data Scientist at Signifyd, reveals how to optimize your manual review queue before the holiday rush hits. The counterintuitive insight: if you have 0% fraud losses in certain buckets with only 89% approval rates, you're actually leaving money on the table.The analysis process is surprisingly straightforward. Start by binning your current manual review cases by risk score, looking at approval rates and loss rates in each bucket. If you see buckets with high approval rates and zero losses, your team isn't taking enough risk there. You can often reduce queue volume by 40-50% while maintaining or even improving overall performance.Key topics covered:[00:00] Intro[03:14] Why manual review optimization matters now[07:20] Black Friday volume surge multipliers[10:48] Gray area fraud getting harder to spot[14:32] How queue optimization drives revenue increases[16:42] Merchant case study pushing approval rates[21:53] What actually sends orders to manual review[25:03] Baseline analysis before changing thresholds[27:59] Score bucket analysis reveals hidden opportunities[30:14] Real merchant feedback on rule optimization[34:04] Account age patterns in manual review[36:23] Order value buckets reveal shipping fraud[40:05] Black Friday staffing challenges ahead[42:22] Managing repeat customer false positives[45:13] Why fraud prevention stays excitingFor merchants heading into peak season, now is the time to run this analysis. You have about a month to test boundaries and find those areas where you can auto-approve more orders. The goal isn't just stopping fraud - it's maximizing revenue while managing risk.The data shows good traffic increases at much higher rates than fraud during Black Friday week. Fashion sees 4x order volume but fraud rates drop to 37% of normal levels. However, electronics merchants should stay vigilant due to sophisticated fraud rings targeting that vertical.Queue optimization isn't just about reducing workload for your team during the holidays. It's about capturing more of those first-time customers who are making quick purchasing decisions during limited-time sales events.Connect with Vito on LinkedIn: https://www.linkedin.com/in/vitopetruzzelli/