ARB Parking Analytics
Complete dataset analysis — every parking session, ticket, notice, and payment across all managed lots. 2.88M sessions, 225K tickets served, $6.4M collected.
1 — Executive Summary
Total Sessions
2.88M
All parking sessions recorded
Tickets Served
225,139
Notices actually sent to owners
Tickets Paid
74,780
33.2% all-time conversion
Revenue Collected
$6.43M
Total across all lots
Tickets Flagged
324,896
~100K cancelled/held before sending
Avg Face Amount
$75.57
Median $85 (priced tickets only)
Avg Revenue / Paid
$85.97
Including surcharges & tax
Active Lots
25+
Across FL, CO, TX, MD, MS, DC
The funnel: Of every 100 parking sessions, about 8 get flagged for a violation, 5.5 get a notice actually sent, and 1.8 result in a paid ticket. The conversion engine works — the question is always "how do we widen the top and tighten the middle?"
2 — Growth Story
Monthly Session Volume
Total parking sessions recorded by the ALPR camera network. The massive ramp from mid-2024 reflects new lot onboarding and camera expansion.
Monthly Tickets Served
Notices actually sent to vehicle owners each month. This is the "real" ticket count — excludes cancelled, held, and unsent.
10x growth in 3 years. From ~400 tickets/month in early 2023 to 12,000–13,000/month by late 2025. Session volume exploded from ~5K/month to 240K/month — camera network is scaling fast.
3 — Conversion Funnel
Monthly Conversion Rate (% of Served Tickets Paid)
The percentage of served tickets that resulted in payment. Early months show high conversion on small volume (selection bias). Mature rate stabilizes at 31-35%.
Conversion has stabilized at ~33%. After the initial ramp (small lot, self-selecting payers), the rate settled into a 31–35% band through all of 2025. That's a healthy, predictable baseline. Recent months (Jan–Mar 2026) appear lower but are still maturing — they haven't had enough time for notices 2 and 3 to drive payment.
The Full Funnel — Sessions → Flagged → Served → Paid
Shows the entire pipeline: how many sessions become violations, how many get notices sent, and how many convert to payment.
4 — Revenue
Quarterly Revenue
Total dollars collected per quarter. Q1 2026 is partial (through mid-March).
| Quarter | Paid Tickets | Revenue | Avg / Ticket | QoQ Growth |
|---|---|---|---|---|
| 2023 Q1 | 101 | $5,852 | $57.94 | — |
| 2023 Q2 | 1,154 | $77,131 | $66.84 | +1218% |
| 2023 Q3 | 2,274 | $160,749 | $70.69 | +108% |
| 2023 Q4 | 2,468 | $193,224 | $78.29 | +20% |
| 2024 Q1 | 4,241 | $340,691 | $80.33 | +76% |
| 2024 Q2 | 4,688 | $391,622 | $83.54 | +15% |
| 2024 Q3 | 5,023 | $393,920 | $78.43 | +1% |
| 2024 Q4 | 8,867 | $712,534 | $80.36 | +81% |
| 2025 Q1 | 10,737 | $892,934 | $83.17 | +25% |
| 2025 Q2 | 9,045 | $788,160 | $87.14 | −12% |
| 2025 Q3 | 9,667 | $878,132 | $90.84 | +11% |
| 2025 Q4 | 10,725 | $1,050,371 | $97.93 | +20% |
| 2026 Q1* | 5,790 | $543,157 | $93.81 | partial |
Revenue per paid ticket is climbing. From ~$58 in early 2023 to $98 in Q4 2025 — a 69% increase in yield per collection. This reflects both higher face amounts on newer lots and better surcharge capture. Q4 2025 was the first $1M+ quarter.
5 — Cohort Analysis
The most important view: for tickets issued in each quarter, what percentage were paid within 30, 60, 90, and 120 days? This reveals collection velocity and predicts where immature cohorts will land.
Cohort Payment Curves by Quarter
Each line is a quarterly cohort. The y-axis shows cumulative % paid at each milestone. Recent quarters (Q4 2025, Q1 2026) are still maturing.
| Quarter | Tickets | 30-Day | 60-Day | 90-Day | 120-Day | Final |
|---|---|---|---|---|---|---|
| 2023 Q1 | 119 | 84.9% | 84.9% | 84.9% | 84.9% | 84.9% |
| 2023 Q2 | 2,563 | 44.4% | 44.4% | 44.4% | 44.4% | 45.0% |
| 2023 Q3 | 5,240 | 42.7% | 42.7% | 42.7% | 42.7% | 43.4% |
| 2023 Q4 | 6,372 | 38.0% | 38.0% | 38.0% | 38.0% | 38.7% |
| 2024 Q1 | 9,974 | 40.8% | 41.0% | 41.5% | 41.7% | 42.5% |
| 2024 Q2 | 13,034 | 31.3% | 33.0% | 33.7% | 34.4% | 36.0% |
| 2024 Q3 | 14,602 | 32.5% | 33.3% | 33.6% | 33.7% | 34.4% |
| 2024 Q4 | 27,243 | 28.1% | 30.5% | 31.2% | 31.5% | 32.6% |
| 2025 Q1 | 28,213 | 23.8% | 33.6% | 35.4% | 35.9% | 38.1% |
| 2025 Q2 | 27,854 | 17.9% | 27.6% | 30.3% | 31.0% | 32.5% |
| 2025 Q3 | 29,163 | 18.0% | 26.8% | 30.8% | 32.1% | 33.2% |
| 2025 Q4 | 32,569 | 20.9% | 27.0% | 28.5% | 28.5% | 32.9% |
| 2026 Q1* | 28,193 | 10.3% | 10.3% | 10.3% | 10.3% | 20.5% |
The 30-day dip is real but misleading. In 2023-2024, most payments happened within 30 days (30-day ≈ final). By 2025, the 30-day rate dropped to ~18-24%, but the 90-day and final rates held at 32-38%. This means the notice cadence shifted — more payments are coming on notices 2 and 3 rather than immediately. The system is still collecting; it's just taking longer per ticket.
Q1 2026 is only ~70 days old. At 20.5% final, it looks low, but based on historical curves it should land at 30-34% once the cohort matures past 120 days. Don't panic on this number yet.
6 — Notice Effectiveness
Conversion by Notice Count
What % of tickets convert based on how many notices were sent?
Ticket Volume by Notice Count
How many tickets ended up at each notice stage?
| Notices Sent | Tickets | Paid | Conversion | % of All Tickets |
|---|---|---|---|---|
| 1 notice | 64,291 | 27,996 | 43.5% | 28.6% |
| 2 notices | 26,655 | 13,312 | 49.9% | 11.8% |
| 3 notices | 66,012 | 24,774 | 37.5% | 29.3% |
| 4 notices | 33,684 | 5,255 | 15.6% | 15.0% |
| 5 notices | 27,637 | 2,819 | 10.2% | 12.3% |
| 6+ notices | 6,860 | 624 | 9.1% | 3.0% |
The sweet spot is 1–3 notices. Notices 1 and 2 have the highest conversion (44–50%). Notice 3 still pulls 37.5%. After that, conversion drops off a cliff — notice 4 is 15.6%, notice 5 is 10.2%. The cost of sending notices 4–6 needs to be weighed against the diminishing returns.
92.4% of all payments come by the 3rd notice. Only 7.6% of conversions happen at notice 4 or later. If sending a notice costs $2–5 in postage + DMV lookup, notices 4+ are marginally profitable at best.
7 — Lot Performance (Top 25)
| Lot | Name | Tickets | Paid | Conv % | Revenue | Avg Face |
|---|
Revenue vs Conversion by Lot
Bubble size = ticket volume. X-axis = conversion rate. Y-axis = revenue. Top-right = high volume, high conversion winners.
8 — Repeat Offenders
Plates by Ticket Count
How many unique plates have 1, 2, 3, or more tickets?
Conversion by Repeat Status
First-timers pay more often than repeat offenders.
| Bucket | Unique Plates | Total Tickets | Conversion |
|---|---|---|---|
| 1 ticket | 132,650 | 132,650 | 41.0% |
| 2 tickets | 14,231 | 28,462 | 35.3% |
| 3 tickets | 4,189 | 12,567 | 30.1% |
| 4–5 tickets | 2,897 | 12,623 | 23.8% |
| 6–10 tickets | 1,766 | 12,987 | 16.9% |
| 11+ tickets | 1,111 | 25,850 | 5.1% |
1,111 plates have 11+ tickets each — totaling 25,850 tickets at 5.1% conversion. These chronic offenders represent 11.5% of all tickets but almost never pay. They may be delivery drivers, employees at nearby businesses, or scofflaws who've learned the system rarely escalates. This is the #1 revenue leakage bucket — a targeted strategy (boot, tow, or higher escalation) could unlock significant revenue.
9 — Geography
Tickets by State (Top 15)
Florida dominates, followed by Colorado and Maryland — reflecting where the lots are physically located.
| State | Tickets | Paid | Conversion |
|---|---|---|---|
| FL | 133,545 | 45,784 | 34.3% |
| CO | 24,896 | 9,736 | 39.1% |
| MD | 14,765 | 4,905 | 33.2% |
| TX | 9,487 | 2,487 | 26.2% |
| LA | 7,100 | 1,592 | 22.4% |
| MS | 6,192 | 1,521 | 24.6% |
| DC | 4,845 | 1,493 | 30.8% |
| KY | 4,167 | 1,100 | 26.4% |
| OH | 2,470 | 609 | 24.7% |
| GA | 2,215 | 602 | 27.2% |
Colorado has the best conversion rate at 39.1% — 5 points above the average. Texas and Louisiana are the weakest at 22–26%. This could reflect DMV lookup quality (some states make it harder to get owner info), local legal enforcement culture, or lot-specific factors.
10 — Day of Week Patterns
Tickets & Conversion by Day of Week
Weekends generate more tickets (Saturday is #1) and have higher conversion rates.
Saturday is the biggest day (40,707 tickets, 36.4% conversion) and Sunday has the highest conversion (35.1%). Weekday tickets convert at 31–33%. Weekend parkers may be more casual / one-time visitors who are more responsive to notices.
11 — Legal Escalation
Tickets Reaching Legal (4th Notice)
26,102
11.6% of all served tickets
Legal Notice Conversion
3.2%
vs 37.2% for non-legal tickets
Revenue from Legal Notices
$84,454
Only 1.3% of total revenue
Revenue from Non-Legal
$6.34M
98.7% of total revenue
Legal escalation has almost zero ROI. 26,102 tickets reached the 4th (legal) notice. Only 834 paid (3.2%). At typical legal notice costs of $5–15 per notice, this stage costs $130K–390K to generate $84K in revenue. Unless the legal threat is improved (actual liens, collections reporting, or boot/tow), it's a money loser.
12 — Key Insights & Recommendations
1. The business is scaling. From $437K total revenue in 2023 to $3.6M in 2025 — an 8x increase. Q4 2025 broke $1M for the first time. Session volume suggests 2026 is tracking even higher.
2. Collection velocity is improving. Q1 2026 paid tickets averaged 20 days to payment (median 16) vs Q4 2025's 32 days (median 23). People are paying faster — likely reflecting better notice design, digital payment options, or more aggressive early follow-up.
3. The 3-notice rule. 92.4% of all payments come by the 3rd notice. Notices 4+ generate 7.6% of payments at significantly higher cost. Consider capping at 3 notices for most lots, reserving notice 4 only for high-value tickets.
4. Chronic offenders are a blind spot. 1,111 plates with 11+ tickets account for 25,850 tickets at 5.1% conversion. This is the single largest untapped revenue pool. Boot/tow programs, partnerships with property managers, or integration with state DMV scofflaw lists could be transformative.
5. Legal escalation needs a rethink. 3.2% conversion on 26K tickets is not working. Either invest in making the legal threat real (actual collections reporting, liens) or eliminate the cost of sending the 4th notice.
6. 65% of tickets have no face amount. Revenue analysis only covers ~35% of tickets with pricing. Fixing fee data capture would massively improve forecasting accuracy and potentially identify lots where fees aren't being set.
7. Geographic opportunity. Colorado converts at 39% vs the 33% average. Understanding why (better DMV data? different lot mix? notice design?) and applying those learnings to TX (26%), LA (22%), and MS (25%) could lift overall conversion by 2–3 points.
8. Weekend enforcement is the most profitable. Saturday and Sunday generate more tickets and convert better. Ensuring full camera coverage and enforcement capacity on weekends is the highest-ROI operational investment.