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Predict which members will cancel, forecast next quarter's revenue, see which hours and coaches actually fill, reconcile every payout to the cent, and ask your own data anything in plain English with AI Chat — analytics and reporting built for sports facilities, not a generic dashboard.
Visits, spend, failed payments, message opens, card on file, tenure — the model weighs every signal a member generates and consolidates them into a single churn risk score.
Scroll to consolidate the signals ↓
Each dot is a member — membership age across the bottom, predicted churn risk up the side, bigger dots carry more MRR. The big red dots up top are the calls that matter.
Scroll for the call list ↓
Mostplatformstellyouwhoalreadycancelled.Baselinetellsyouwho'saboutto—amodeltrainedonyourownfacility'shistoryscoreseveryactivemember'srisk,ranksthecallsworthmaking,andshowstherevenueyoucanstillsave.
Across 44,000+ memberships, the median preventable cancellation happens just 87 days after joining — over half of all preventable churn lands in the first three months.
Read the research: The State of Sports Facility Memberships →A heatmap of every booking by day and hour reveals your busiest and deadest windows, so you can move inventory and pricing to match demand.
Keyed to when members book — your demand by day and hour.
Youcan'tpricewhatyoucan'tsee.Baselineshowswhenyourfacilityactuallygetsbooked,whichsessionsfillandwhichrunhalf-empty,whichcoachesdrivetherevenue—andhowallofitstacksupagainstthemarket.
Top first-year facilities offer 40+ events per week by month 6 — and earn 1.8× more. Utilization stays roughly flat across all tiers: customers find bookable inventory and book it, so more on-calendar inventory beats more marketing spend.
Read the research: What Successful New Sports Facilities Do Differently →At the median facility with a real lesson program, the top trainer books 42% of lesson revenue and the whole book spreads across the equivalent of just 3.5 full trainers, despite 9 trainers earning lesson dollars. About a fifth of facilities are effectively one-name lesson programs; as lesson revenue grows the bench roughly doubles but the top trainer's share falls only 15 points — bigger lesson businesses build a bench around a bigger star rather than replacing the star.
Read the research: The Economics of a Sports Trainer →The first page of your accounting workbook pulls every balance transaction from your PayFac payout — debits, credits, fees, and adjustments — all categorized and reconciled automatically.
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Mostplatformsgiveyouapaymentsummary.Baselinegivesyouanaccountingworkbookthatreconcileseverytransaction,everypayout,everyday—sowhenyouraccountantaskswherethenumberscomefrom,youhavetheanswer.
Connect your QuickBooks accounts to your Baseline revenue categories — memberships, lessons, teams, events, retail. Set it once and every future payout maps automatically.
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Mostaccountingintegrationsdumpdataandhopeforthebest.Baselinemapsaccounts,pre-fillsjournalentries,anddouble-checkseverypostingbeforeittouchesQuickBooks—soyoudon'tcatchmistakesthreemonthslater.
Define rules from any combination of event type, trainer, payment method, duration, and location. If a 30-minute lesson paid by coupon has different rules than an hour of practice — set them both.
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Define your own payroll logic from any combination of variables — event type, trainer, payment method, duration, location. If a 30-minute hitting lesson with Derek paid by coupon has different rules than an hour of team practice, set them both.
Trainers who sustain 15+ delivered hours a week run a median 35 active clients a month and gross a median ~$47.5k annualized — right at the U.S. median wage for coaches. At typical 90-day retention, holding a book that size means recruiting roughly a full book of new clients every year.
Read the research: The Economics of a Sports Trainer →Every dashboard, table, and report in Baseline has a CSV export button. Members, payments, events, schedules, teams — pull any data into a workbook whenever you need it.
“I am constantly shocked about how much baseball facility specific functionality there is. I mentioned a feature idea early on, and it appeared within a few months.”
Yourdatashouldn'tbelockedinsideaplatform.Exportanything,anytime—members,payments,events,schedules—andknowexactlywhat'shappeningwithyourmembershipsbeforethemonthevenstarts.
Facilities that retain 80%+ of their early customers hold 62% of revenue in memberships — vs 39% for facilities losing more than half of their month-1 customers.
Read the research: What Successful New Sports Facilities Do Differently →Map your Baseline revenue categories to QuickBooks accounts once. Every payout auto-maps, you review and verify, then post in one click. The system double-checks everything before it touches your books.
Reportingisn'tadashboardyouignore.It'sthedifferencebetweenknowingyournumbersandguessing.Baselinereconcileseverypayout,verifieseverycontact,andforecastsyourrevenue—soyoumakedecisionswithdata,nothope.
Forecast upcoming revenue, age every outstanding balance, and let the recollection AI win back failed payments overnight.
When a membership billing cycle runs, access control updates, credits reset, and family accounts stay in sync.
When a member checks in, access is verified, the schedule adjusts, and payment status is confirmed — automatically.
When a parent registers their kid, the roster updates, payment plans activate, and the coach sees a new player.
See how Baseline gives you dashboards, attribution, and insights without spreadsheets — in one 20-minute tour.
Starting free. No credit card required. See pricing →
Everything you need to know about our sports facility management software.
Yes. The Membership Health report uses a machine-learning model trained on your own facility's history to score every active member's chance of a preventable cancellation in the next 90 days. It adds those up into an expected churner count and the monthly revenue at risk, ranks members into a prioritized call list, and shows the specific drivers behind each score. It predicts preventable churn only — seasonal and durational membership endings are excluded by design — and a backtest shows how many past churners the model would have flagged in advance. It's strongest on facilities with enough history; thinner accounts get a clearly-labeled lower-confidence estimate.