Sports Marketing Machine Podcast

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 a textPerformance 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

Discussion focuses on allocating marketing budget to capture fan contact info instead of chasing immediate ticket sales. Topics include recommended budget splits, using sponsors to boost perceived value, running opt-in campaigns independently, and follow-up plus segmentation strategies. Practical examples and a lead generation checklist highlight how growing a database lowers future ad costs and fuels long-term revenue.