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 "The single most important decision in evaluating a business is pricing power." Warren Buffett said it. Football proves it. Here's the €50B paradox destroying club-fan relationships: ✅ The Ultimate Pricng Power Football fans: ▪️ 0.3% switch clubs in their lifetime ▪️ 78% buy merchandise regardless of performance ▪️ 92% renew season tickets automatically ▪️ €2.4K average lifetime spend per fan Compare to other industries: ▪️ Netflix churn rate: 5.2% monthly ▪️ Gym memberships: 71% quit within 2 years ▪️ Restaurant loyalty: 23% return rate 👉 Football has the world's most captive customers ✅ The Dangerous Assumption "They'll pay anyway" thinking in action: ▪️ Premier League ticket prices: +1,011% since 1989 ▪️ Champions League final tickets: €70 → €690 (2005-2024) ▪️ Replica shirt prices: €30 → €120 in 20 years ▪️ Streaming subscriptions: €480/year for full coverage ❗ Wage growth same period: +168% Fans aren't getting richer. Clubs are getting greedier. ✅ The Hidden Competition Football doesn't compete with other clubs. It competes with: ▪️ Netflix + Disney + Spotify: €35/month ▪️ PlayStation Plus: €60/year ▪️ Concert tickets: €80 average ▪️ Cinema + popcorn: €15 One match ticket = 3 months of entertainment elsewhere. 👉 When a father of two does the math, loyalty has limits. ✅ The Engagement Cliff What happens when fans feel exploited: Stage 1: Stop attending midweek games (-23% across Europe) Stage 2: Cancel cup competitions (-31% early rounds) Stage 3: Share season tickets (growing) Stage 4: Stream illegally (47% of Gen Z) Stage 5: Emotional detachment (priceless loss) ❗ They don't switch clubs. They switch off. ✅ The Smart Pricing Strategy Clubs getting it right: 1️⃣ Bayern M.: €170 season tickets for standing 2️⃣ Borussia D.: Price freeze since 2019 3️⃣ Fortuna Düsseldorf: Free tickets experiment Result: ☑️ 98%+ attendance ☑️ Highest merchandise sales/capita ☑️ Generational fan renewal ☑️ Premium sponsor attraction ✅ The Business Case for Respect Lower prices drive higher value: ▪️ Full stadium atmosphere: +27% TV value ▪️ Young fan acquisition: €45,000 lifetime value ▪️ Social media content: Packed stadiums = viral moments ▪️ Sponsor premiums: 40% more for sold-out venues 👉 The math is clear: €20 less per ticket × 40,000 fans = €800K "loss" Full stadium premium from sponsors = €3M gain ❗ Respect isn't charity. It's strategy. ✅ The Buffett Principle, Reimagined Yes, football has ultimate pricing power. But the question isn't "Can we raise prices?" It's "Should we?" Because when you abuse pricing power with captive customers: Short term: Record revenues Long term: Lost generations The clubs that survive 100 years understand: Fans aren't customers to monetize. They're partners to respect. ❓ Is your club treating you as a customer or a partner? #FootballBusiness #FanEngagement data: UEFA Benchmarking Report, Deloitte Annual Review, Fan Engagement Index 2024 ph: Live India

Most sports orgs have three teams focused on the same revenue goal Marketing builds the audience and drives demand Analytics scores the database and models propensity to buy Sales converts the leads Each team has a strategy How they intersect determines success Things break down when each function optimizes for its own metrics Bigger database, better scoring model, more outreach   But not always better results   The most successful teams align around a single question What does our highest-probability buyer look like? Then, build a unified journey to achieve it Marketing drives initial ticket transactions Analytics segments for key outcomes And sales gets the highest-probability leads When each function aligns, it’s no longer a volume game Sales teams focus on high quality personalized outreach Fans get a better experience and closing % increases Win-Win all around I've spent years inside this conversation The hardest part isn't the work itself It's getting three teams to define success the same way Lead strategy isn't a sales decision It's a revenue decision Who owns that conversation in your organization? #Careers #PersonalDevelopment #Sales #Leadership #SportsSales #SportsBusiness

How we handled the sales process for an event with 17,000 registrants: If we allowed everyone & everyone to book sales calls, we'd be on zoom till 2027. We're talking total doomsday event for our calendars. Team burned out. Quality whittled down to nothing. So we designed a rigorous application process that helped us prioritize the highest-quality leads. Here's how it worked: During registration, we created two tiers. General admission was low-ticket, like $7 to $27. VIP was premium, $47 to $297. This immediately separated people willing to invest from people just looking for free stuff. Midway through the event, VIP members got access to an exclusive application. We positioned it as limited availability. "We're only taking on 50 people for this launch. If you want to be at the top of those 50, fill out this application now." The application had specific qualifying questions. What's your current revenue? What's your biggest challenge? How much are you willing to invest to solve this problem? When are you looking to get started? But instead of just asking questions, we made people prove their answers. If someone said they were doing $100K/month, we asked for proof. Screenshot of their Stripe dashboard or bank statement. Then we routed qualified applications to different sales teams based on their answers. High-revenue, high-intent prospects went to our A-team closers. Lower-intent prospects went to junior reps for more qualification. The result was that 17,000 registrants became 50 qualified prospects who actually had the money and motivation to buy the high ticket offer. Without this filter, we would have been drowning in unqualified calls. Our best closers would have been wasting time with people who couldn't afford the offer. Our conversion rates would have been terrible. Instead, we had focused conversations with serious prospects. 37% close rate across all teams. Most people are afraid to filter hard because they think they'll lose prospects. Actually, you lose more prospects by wasting everyone's time on unqualified calls. The application didn't keep good prospects out. It kept bad prospects from wasting our time.

We finally sold all our Women in Tech SEO Festival London tickets! Last year, we sold the same amount of tickets by November, so why did it take an additional 2 months this time round? Here's what I think: Last year, we were only selling London tickets - this year, we're selling London, Berlin, and Philadelphia. Never mind Philly because that's a very different market, but with Berlin, I quickly noticed that at least 100+ people who normally buy tickets for London opted for Berlin. Here are a few assumptions I have as to why: 1) After UK folks, German residents usually come second in the largest number of WTSFest attendees, so naturally, German folks opted to buy Berlin tickets instead 2) Folks who live in Europe and require tourist visas to come to the UK opted for Berlin tickets thanks to the open Schengen visa 3) Folks not living in Europe and require tourist visas to visit either UK or Germany also opted for Berlin tickets, because Schengen visas are easier to get than UK visas 4) Traveling to the UK, and especially London, is very expensive! Flights, hotels, and our ridiculous train costs. There are even some UK folks living up north who opted for a Berlin ticket, because a) it would be nice to visit somewhere new, but also b) it's actually cheaper for them to go to Berlin than London! 5) Berlin is a first-time destination conference for us, and as always, anything new excites people. So, what might I do differently the next time round? 1) I don't think it was a good idea to open all ticket sales in parallel - there will probably be some overlap, but not at once; at least give myself room to break even for the first conference of the year (London), before opening ticket sales for the next conference 2) This year, I trialled out opening super early bird tickets really early. Normally, I only open tickets after our agenda is announced, but this time, I opened them up once we'd secured our date and venue. This seemed to work fine for both Berlin & Philly, we actually sold out 80% of our Berlin tickets before we'd even announced our speaker line-up, but I think it might be worth reverting back to ticket launch post-agenda, or at least as close to it as possible. 3) Ticket prices were similar across both at around £300 - but it does seem that Berlin folks are willing to pay a higher ticket price than London, likely because there aren't as many Germany conferences as there are UK ones with affordable pricing - so it's worth thinking about balancing that out Finally, normally a big chunk of my conference tickets are sold in bulk; a company would buy 5-10 tickets for their team, which makes them faster to shift. This year-round, the majority of London tickets were sold individually; people were buying tickets for themselves because their company was not offering any training or conference budget. So, why am I sharing all this? Because I'm learning as I go. And I hope that others in a similar situation would find this helpful 🙌🏽

We’ve managed $100k+ ad budgets promoting online and in-person events and here’s what we’ve learned: 1. Timing matters. The majority of ticket sales or registrations happen in the weeks leading up to the event. We account for this by allocating the majority of the spend closer to the day of the event. 2. Social proof converts. For one client, we searched LinkedIn for anyone who posted about the event after the fact and ranked them by engagement. We then promoted those posts as thought leader ads in anticipation of the next event. 3. Promote transparency. If you are at liberty to do so, why not give away the attendee list? If you have a high value audience and have your targeting dialed in, try a campaign where you gate the attendee list. We’ve seen this tactic promote great conversations that directly lead to ticket sales. 4. Ads that feature as many speakers as possible tend to perform the best. Generally we see ads with faces perform well, so try combining all the speakers into one post. You can then split those ads up into individual speaker ads, use them in carousels, etc. Above all, we’ve learned that preparation is key to promoting these events. For one client, we put together a schedule of ads that would go out as we got closer to the day of the event. This included “countdown” ads where we’d say “the event is 1 month out!” etc. as we built a sense of urgency. Because we put together this plan we were able to get creative requests to our designers early. We had all the creatives ready to go months out from the event and had all the campaigns built and scheduled so that they would pause and activate as the countdown got closer. We’re always testing new strategies to promote these events and it’s impossible to fit all of our experiments into one post. For example, LinkedIn has built in event ads which allow people to register for a LinkedIn event directly from the ad. The key to improving performance for that ad unit is to build up as many organic registrations as possible. Since you can see how many people registered directly on the ad, we’ve seen that a higher number of organic registrations directly impacts the conversion rate on the paid side. Interested in hearing more about how we promote events via ads? Feel free to reach out. We have a ton more ideas we’re looking to test. 🧑🔬

The most powerful AI use cases in sports marketing right now are also the least flashy. We’re seeing real impact where AI is removing friction—not just generating noise. Here’s what’s working: • Predicting when a fan is ready to buy—not just who 🔹 Teams using intent-based AI see up to 25–35% higher conversion rates by targeting timing vs. demographics alone. 💡 Prompt: “Which ticket segments show rising purchase intent over the next 72 hours?” • Automating follow-up without losing the human tone 🔹 Automated sequences with personalized context outperform generic nurture by 2–3x in engagement. 💡 Prompt: “Draft follow-up messaging that feels human, based on last fan interaction and sentiment.” • Adjusting pricing and promotions before demand softens 🔹 Dynamic pricing models tied to real-time demand can increase revenue by 10–20% while optimizing seat fill. 💡 Prompt: “Suggest optimized ticket prices for remaining inventory over the next 5 home games based on demand signals.” • Turning reviews and feedback into operational fixes, not just reports 🔹 Sentiment-driven insights help teams reduce churn and improve experience scores by uncovering root causes, not just themes. 💡 Prompt: “Summarize fan feedback trends and recommend top 3 operational actions with impact estimates.” AI isn’t replacing marketers—it’s quietly making the good ones unstoppable.

Spoiler: “Just lower prices” is not a marketing strategy. Here’s what to do instead when your audience’s wallets are on life support. Two smarter strategies for event producers: 1. Pay It Forward Let fans purchase an extra ticket at a discounted rate when they buy their own. You then donate those tickets to people/groups facing financial hardship — fill seats, build goodwill, and expand your audience. 2. Pay What You Can Nights Offer a limited number of “pay what you can” tickets. It lowers the barrier for those who need a break, while giving higher-earning attendees a chance to pay more and support the event or a cause. A full room is a profitable room — and a memorable one. The bottom line: In tough times, creativity is your best sales strategy. These models don’t just move tickets — they build loyalty, buzz, and long-term brand equity. (Way more valuable than a 20% off promo code.)

LVMH stores waste floor space on purpose because whitespace increases perceived value. Yet your high-ticket product pages cram 15 items per screen. You're using Amazon's playbook for $5,000 decisions. In reality: strategic friction can be used to increase conversion for high-consideration purchases. Luxury stores deliberately add cognitive “speed bumps” that keep shoppers in automatic System 1 thinking precisely when their brain wants to switch to analytical System 2 mode because the price just got serious. Digital does the opposite. We default to removing all friction. This is a mistake - you’re optimizing for the wrong system. Here's how friction can actually increase willingness to pay: 1. Queues Create Value Through Sunk Cost Studies prove controlled access raises both perceived value and basket size. Queues reframe effort as investment. Louis Vuitton isn't afraid to ask customers to wait outside. Tesla makes you wait months for delivery. Supreme built a billion-dollar brand on lines around the block. Your frictionless checkout assumes speed always equals conversion. Wrong. Add booking systems or waitlists for your highest tier items. The anticipation can increase willingness to pay. Watch AOV rise. 2. Whitespace is Worth More Than Content Research shows visual crowding reduces perceived quality and satisfaction. Apple displays three phones where Best Buy shows thirty. The space literally increases perceived value. But you're cramming fifteen SKUs per viewport because of "above the fold" thinking. Cap high-ticket PDPs to 3 items max. Every luxury store "wastes" their entrance with a decompression zone. No products. Just transition space. You hit visitors with popups immediately. The first screen should orient, not convert. 3. Indirect Paths Prevent Price Comparison Luxury abandoned aisles for free-flow layouts. Forces wandering. Eliminates comparison shopping. Maintains System 1. Peloton makes you book a showroom appointment before you can touch a bike. Your mega-menu with forty categories triggers analysis paralysis instantly. Replace with 3-5 guided narratives. Don't force them to think. Lead them through. Boutique associates appear at calculated moments based on dwell time. Not random. Not immediate. Zegna's AI clienteling mirrors this with triggered interventions. Set thresholds. Time your asks when readiness signals appear. KEY LESSON: Amazon trained us to remove friction. But friction IS the business model for many consequential purchases. High stakes trigger System 2 analysis. Analysis kills conversion. Brands that maintain System 1 longest win. This creates a power law: Managed friction drives higher perceived value drives better margins drives competitive moats. Everyone else fights over speed. We architect the cognitive journey. Stop removing friction. Start managing it.