Every report myAnalyst builds for multi-site car wash operators, read straight from your POS and refreshed in near real-time.
| Site | Wash Count | Member Mix | Rev / Car | Capture | vs LY |
|---|---|---|---|---|---|
| 04 Morgantown | 2,310 | 68% | $14.90 | 41% | ▲ 8.2% |
| 07 Holler Lane | 2,040 | 66% | $14.55 | 38% | ▲ 6.1% |
| 11 Frankland | 1,870 | 63% | $14.10 | 35% | ▲ 3.4% |
| 15 Poplar | 1,640 | 58% | $13.60 | 31% | ▼ 2.7% |
| 22 Dent | 1,560 | 55% | $13.20 | 29% | ▼ 4.9% |
Figures shown for layout. On a demo we run this on your own POS data, your sites, your numbers.
How many cars went through, how fast, how many converted, and what each was worth.
Live wash count per site and chain (about 9,420 on a strong day), with YoY deltas, hour-of-day and day-of-week throughput, and peak-hour cars per hour to match staffing to demand.
Capture rate by site (share of arriving traffic that buys a wash) and the share of single washes that convert to an unlimited plan, trended against the chain benchmark.
Revenue per car (about $14.20 portfolio-wide) by wash package, add-on attach rate (ceramic, tire shine, undercarriage), and the retail-vs-member split, so you see whether the average rises on mix or just price.
For a club-model wash, the membership base is the business. Track the recurring base, the leak, and who to win back, at the household level.
myAnalyst separates recurring unlimited members from retail traffic and tracks gross adds, churn, net adds, and the at-risk revenue behind every lapsing plan.
| Site | Members | Churn | Net Adds |
|---|---|---|---|
| 04 Morgantown | 3,910 | 3.9% | +96 |
| 07 Holler Lane | 3,420 | 4.4% | +71 |
| 15 Poplar | 2,180 | 6.2% | -18 |
| 22 Dent | 1,940 | 7.1% | -34 |
Active member count, plan-tier breakdown (basic / premium / ceramic), and membership mix as a share of washes (about 63%), by site and chain-wide, with month-over-month base growth.
Monthly and rolling churn per site, cancellation reasons where captured, win-back rate, and net-add lift, so you can tell a healthy base from one quietly bleeding plans.
Recency-frequency-monetary scoring per member and household, due-soon and at-risk lists, customer lifetime value, and the dollar value of plans about to lapse, exportable for win-back.
Tie revenue, recurring billing, and chemical cost, the biggest variable cost in a wash, back to volume by site.
Revenue by payment type (card, cash, app/wallet) and recurring membership billing, with recurring-billing share, failed-payment rate, and the retail-vs-member revenue split per site.
Chemical cost per car derived against wash count and trended against the chain benchmark, so a site over-dosing or running a mis-calibrated dosing system stands out, alongside other variable cost per car.
Every paid-in and paid-out, credit memos, and end-of-day cash reconciliation, with drawer over/short rolled up by site and shift so finance closes the books without chasing managers.
Voids, discounts, and drawer variances are small per transaction and large across a chain. Auditing surfaces the outliers automatically.
Void count and dollars, refunds, and aborted/re-rung sales ranked by site, register, and employee, with rate-per-wash so a busy site isn't flagged just for volume.
Cash over/short by drawer, shift, and employee, with open/close variances and recurring-offender ranking, so a pattern at one site or cashier surfaces instead of hiding in daily noise.
Discounts, comps, employee/free washes, and wildcard codes by reason and employee, with data-capture quality scoring, flagging sites where give-aways quietly erode revenue per car.
Map guest origin from your transaction and membership data, see each site's real trade area, and model drive-time coverage before you sign the next lease.
Heatmaps and choropleths of where retail and member traffic originates, by ZIP and household, so you see each site's true catchment and aim local marketing at the gaps.
5- / 10- / 15-minute drive-time polygons, demand density, and overlap with existing sites, the same Real Estate Consulting and Customer Mapping inputs we use to vet a new location.
Roll every report above into one grade, and project the month before it closes.
A 0 to 100 score and A to F grade per site from five weighted pillars: Growth 25%, Goal 25%, Loyalty 20%, Standing 15%, Operations 15%. For a wash, Loyalty leans on membership retention and Operations on capture rate and throughput.
MTD wash count, revenue, and net member adds vs budget, with shape-adjusted month-end projections and an ahead / on-track / behind status per site, built from your Budgets & Goals.
All-time single-day wash-count and revenue records, current-period site rankings, and Invoice Lookup to trace any transaction, the friendly competition that pushes the front line.
Signals watches the same data and texts the right manager the moment a threshold trips: a site pacing behind on wash count, a churn spike, a short drawer, or a chemical-cost-per-car outlier. No app to open.
Down 14% on cars vs its budget shape by 11:00 AM. Texted to the District Manager.
≈ $9,100 of at-risk membership revenue. RFM at-risk list ready to export.
Running 18% over the chain average, worth checking the dosing system.
Search a ticket or invoice and see the full line items and payment. Try it.
Yes. myAnalyst reads your POS read-only and separates recurring unlimited-plan members from single-wash retail traffic, so you can see membership mix (about 63% of washes in a typical club-heavy site), net member adds, churn, and the revenue each stream contributes per site and across the chain.
myAnalyst refreshes in near real-time, so wash counts, revenue per car, and capture rate update live throughout the day. Chemical cost per car is derived against your wash count, so it moves with volume and lets you spot a site whose variable cost per car drifts above the chain benchmark.
Every site gets a 0 to 100 Store Health score and an A to F grade built from five weighted pillars, Growth (25%), Goal (25%), Loyalty (20%), Standing (15%), and Operations (15%). For car wash, Loyalty leans on membership retention and Operations reflects capture rate and throughput, so the score reflects how a club-model wash actually performs. See how scoring works.
Yes. The Report Builder lets you assemble drag-and-drop dashboards and saved trackers, for example a membership-churn-by-site view or a chemical-cost-per-car tracker, from any of the LiveStats, membership, financial, auditing, and geospatial data myAnalyst already reads from your POS.
Every module behind these reports: LiveStats, Store Health, Pacing, Financials, Auditing, and the Report Builder.
Explore the platformConsolidate dozens of stores into one live, ranked view for above-store leaders.
Multi-location dashboardsDefinitions for every metric on this page, plus the other industries myAnalyst is tuned for.
Open the glossaryBook a 30-minute demo and we'll run myAnalyst on your POS, wash counts, membership churn, capture rate, and chemical cost per car, live across every site.