Sports Marketing Machine Podcast

Send us Fan MailMost teams are asking the wrong question when it comes to theme nights—and it’s costing them ticket revenue. In this episode, Jeremy Neisser breaks down a practical, repeatable framework for building theme nights around real audiences, not random ideas. If you want your promotions to actually sell tickets (and grow year over year), this is the blueprint.Key Topics Covered Why “What theme night should we do?” is the wrong starting point  The shift from idea-first thinking → audience-first strategy The 4-part framework every successful theme night must have:  Clear audience  Reachable list  Organizer/advocate  Compelling reason to attend  How weak theme nights fail (and why they don’t drive group sales)  Real examples of audience-driven nights (Korean Night, Healthcare Appreciation, Bark in the Park)  How to evaluate and score your current theme nights for effectiveness  The role of organizers (coaches, principals, business leaders) in scaling ticket sales  Building momentum: turning 200-ticket nights into 500+ year-over-year  Why specificity beats broad appeal when trying to grow attendance Timestamps00:00 – Introduction: Why most theme nights don’t work 00:26 – The common mistake teams make when planning promotions 00:54 – Theme nights as audience strategy (not ideas) 01:46 – The wrong question teams are asking 02:16 – Start with audience: the foundation of every successful night 03:15 – Real-world examples of targeted theme nights 04:10 – Build the idea for the audience (not the other way around) 05:07 – The 4-part theme night framework 05:37 – Defining a clear, specific audience 06:05 – Do you actually have a list to reach them? 06:34 – The importance of having an organizer/advocate 07:03 – Creating a compelling reason to rally a group 07:58 – Challenges at the minor league and college level 09:22 – The 4-point filter to evaluate your theme nights 10:20 – Using momentum to grow attendance year-over-year 11:14 – Leveraging past success to scale future nights 12:13 – Why specificity drives results 13:10 – Prioritizing high-impact theme nights 14:07 – Continuous improvement and iteration 15:04 – Final takeaway: audience first, always 15:34 – Wrap-up and next stepsCore TakeawayTheme nights aren’t promotions—they’re audience acquisition strategies.If you don’t have: A clearly defined audience  A way to reach them  Someone to organize them  A reason for them to show up …you don’t have a theme night. You have an idea.Resources & Links Previous Episode: Top 10 Theme Nights That Actually Sold Tickets  Revelocity Sports Sports Marketing Machine on LinkedInSports Marketing Machine on InstagramBook a call with Jeremy from Sports Marketing Machine

They break down what a true group renewal target should be and why average rates hide the problem. Small operational breakdowns and poor follow-up quietly destroy retention. Practical fixes include post-event follow-up sequences, segmenting high-potential groups, and turning group leaders into repeat-booking champions. Tracking renewal revenue, not just volume, is emphasized as the key metric.

A breakdown of why trade deals in sports are not actually free and often cost teams real revenue. Discussion of where trade can work best, like unsold inventory and awareness campaigns. Warnings about common pitfalls: no tracking, overvalued digital add-ons, and leftover low-value placements. Practical fixes include using promo codes, landing pages, and treating trade like paid media.

A breakdown of how smart teams design crowd energy with in-game promotions that invite whole sections to play along. Timing and placement of prompts matter more than flashy stunts. Learn why giving the game breathing room improves engagement. See how promotions can trigger sales and sponsor value. Discover the PA announcer’s role in conducting the arena’s rhythm.

They explore how cognitive load quietly kills group ticket sales and why planners behave differently than casual fans. You get a four-question framework to make group pages instantly clear. Practical tips cover showing who it’s for, using bullet benefits, starting prices early, and one obvious call-to-action. The Caveman Test and common friction points help teams spot what to simplify.

They weigh the tradeoffs of selling team merchandise on Amazon, from fulfillment choices to referral fee math. The conversation highlights SEO tactics, semantic keywords, and starting with city/state designs. They cover data ownership risks, cannibalization with Shopify, and pricing and catalog strategies to protect margins and brand control.

A team doubled social impressions and engagement but single-game ticket sales stayed flat. The show contrasts monetizing existing demand with strategies that actually multiply buyers. It explains a three-bucket ad framework, five growth layers like capture-before-conversion and game-two planning, and why timing ads to 24–48 hour buying windows unlocks real sales.

They argue that one hero ad cannot scale on Meta anymore and teams need a creative system. Different buyer motivations require multiple angles, not demographics. Learn the ice cream shop analogy and five ticket-buyer motivations. Find out how to build 8–10 creative variations, use ChatGPT for hooks, and why warming ads with AIDA matter.

They unpack why Meta’s ad reports often disagree with ticketing and bank records. The conversation explains what Conversion API actually does and why it helps delivery but not reporting truth. A simple spreadsheet framework is shared to track real spend, revenue, NCAC, AOV and repeat buyers. They stress evaluating marketing weekly and using ticketing as the true scoreboard.

Send us Fan MailPerformance Max (P-Max) is showing up in more agency proposals—but most teams don’t fully understand what they’re buying. In this episode, Jeremy Neisser breaks down what P-Max actually is inside Google Ads, why it sounds so attractive to sports teams, and how it’s often used to hide weak or undefined marketing strategy. You’ll learn when P-Max can help, when it hurts, and the critical questions teams should ask before letting automation take the wheel.Key Topics CoveredWhat Performance Max really does (in plain English)Why P-Max is an execution layer—not a marketing strategyHow messy data causes P-Max to optimize for the wrong winsThe danger of blended audiences and lost message controlHow agencies use P-Max as a reporting smoke screenWhen P-Max actually can work for sports teamsWhy segmentation and funnel clarity still matter in an AI worldHow to spot red flags in agency P-Max proposalsEpisode Chapters00:00 – Why Performance Max keeps showing up in agency proposals02:47 – What P-Max actually is (and how it works)05:36 – Why automation without strategy is dangerous08:58 – How P-Max steals credit and inflates “conversions”11:49 – When Performance Max can make sense for teams14:39 – Strategy over automation: the real takeawayKey TakeawaysPerformance Max is often used to mask weak strategy, not enhance strong ones.Automation simplifies execution—but it doesn’t replace thinking.P-Max is only as smart as your data (and most teams’ data is messy).Blended audiences lead to blended messaging—and wasted spend.If you can’t explain who’s buying and why, P-Max is a blindfold.P-Max works best as a supporting channel, not your entire plan.Clear funnel logic beats “AI will figure it out” every time.Sports Marketing Machine on LinkedInSports Marketing Machine on InstagramBook a call with Jeremy from Sports Marketing Machine