{"id":54681,"date":"2026-08-18T15:00:00","date_gmt":"2026-08-18T14:00:00","guid":{"rendered":"https:\/\/www.parkingeye.co.uk\/car-park-management\/?p=54681"},"modified":"2026-08-18T15:09:15","modified_gmt":"2026-08-18T14:09:15","slug":"what-does-your-car-park-data-actually-tell-you","status":"publish","type":"post","link":"https:\/\/www.parkingeye.co.uk\/car-park-management\/knowledge-hub\/blog\/understand-your-data\/what-does-your-car-park-data-actually-tell-you\/","title":{"rendered":"What Does Your Car Park Data Actually Tell You?"},"content":{"rendered":"<p><b>We process 4 million data points every single day across 4,000+ UK car parks.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Car parks generate an incredible amount of data. When used correctly, this can completely transform how a site performs. The car park is also the first and last impression a visitor has of a business, and the insight it generates touches far more than just the car park itself.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Car park data shows how a site is actually being used, how that is changing over time, and where decisions should be focused next.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This article answers that question directly: what does car park data actually tell you, and what can you do with it?<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Car park data quick stats\u00a0<\/b><\/td>\n<td><b>Figure<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Data points processed every single day<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4 million<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Data points processed every year<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1.5 billion<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">UK sites benchmarked across every sector<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4,000+<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>What data does a car park actually generate?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">ANPR generates thousands of car park data points every day. Entry and exit records are a small part of the bigger picture data can give you..<\/span><\/p>\n<p><span style=\"font-weight: 400;\">People interact with car parks in different ways, driven by habits or specific needs, such as requiring access to blue badge bays or driving electric vehicles that need spaces to recharge. Parking data can track how services are used over time, such as shifting payment habits.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the right data, operators can access car park data analytics and reporting services across six key areas, each one answering a different question about how a site is performing.<\/span><\/p>\n<h3><b>1. Occupancy<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Occupancy data tracks how many spaces are in use at any given time and checks whether peak periods correlate with sales. When troughs are identified, possible responses include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Running promotions during quieter periods<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Listing surplus space for pre-booking<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Operating as pay and display outside standard business hours<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Encouraging off-peak parking to level out demand<\/span><\/li>\n<\/ul>\n<p><strong>Our clients have seen an average 40% increase in space availability within the first six months of an ANPR solution being in place.<\/strong><\/p>\n<h3><b>2. Stay duration<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Stay duration data calculates average, longest and shortest stays on site. It identifies two things:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Potential abuse<\/b><span style=\"font-weight: 400;\"> vehicles staying longer than expected occupying space for non-customers<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Business performance<\/b><span style=\"font-weight: 400;\"> whether visitors are spending reasonable time in store<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">It also measures whether promotions are working. If a meal deal or discount is running, stay duration should increase. If it does not, the promotion may need rethinking.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>3. Capacity and peak periods<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Capacity data tracks peaks and troughs to support shift planning and operational decisions. Key examples across sectors:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Retail:<\/b><span style=\"font-weight: 400;\"> used to review opening times, reducing staffing costs at quiet periods and <a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/knowledge-hub\/blog\/increase-revenue\/how-to-generate-revenue-from-your-car-park\/\">increasing revenue<\/a> at busy ones<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Healthcare:<\/b><span style=\"font-weight: 400;\"> maps peak occupancy against visiting hours and clinic times to improve space availability<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Education:<\/b><span style=\"font-weight: 400;\"> one university found parking 25% over capacity at certain times. Adjusting timetables eased pressure and improved safety. The same site found after-hours spaces being used by non-students, leading to a paid parking strategy that generated revenue from pre-bookings<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><b>4. Revenue data<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Revenue data shows how much each payment option has generated over the last three months. Site operators use it to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Track whether cashless options are keeping pace with visitor expectations<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Identify stronger and weaker months<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Spot seasonal patterns in payment volumes<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Improve payment compliance<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">96% of transactions are contactless, showing the shift in user habits. Revenue data tells you whether your <a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/solutions\/easy-pay-parking\/\">paid parking strategy<\/a> is working and where it needs to change.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>5. Vehicle data and EV insight<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Vehicle data shows fuel types using the car park via DVLA data, tracking the proportion of <a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/solutions\/ev-charging\/\">EVs<\/a> on site over time.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This provides a baseline for infrastructure planning &#8211; gauging when EV demand is high enough to justify chargers, and how many are needed.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>6. Repeat visitor analysis<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Repeat <a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/solutions\/reporting-data-services\/\">visitor data<\/a> tracks how frequently visitors and permit holders return. All data is anonymised in line with GDPR. It informs three actions:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Introducing a loyalty scheme where high repeat visit rates exist but no scheme is in place<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Rethinking an existing scheme where repeat visits are not increasing despite incentives<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Triggering entry-point offers &#8211; Parkingeye data shows this can lift repeat visits to a specific tenant by up to 20%<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><b>7. Visit data and contravention trends<\/b><\/h3>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/solutions\/reporting-data-services\/anpr-data\/\">ANPR data<\/a> covers everything on site from hourly to annual occurrences: traffic volume, entry and exit points, and contraventions. Tracking contravention trends over time shows whether enforcement is working and where rules may need tightening.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b>What each car park data type can tell you<\/b><\/h3>\n<table>\n<tbody>\n<tr>\n<td><b>Data type<\/b><\/td>\n<td><b>What it measures<\/b><\/td>\n<td><b>Key stat<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Occupancy<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Space availability and congestion patterns<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Our client saw an average 40% increase in space availability within 6 months<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Stay duration<\/span><\/td>\n<td><span style=\"font-weight: 400;\">How long vehicles remain on site<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Contraventions halved in 3 months; dropped to a quarter within 6 months<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Capacity and peaks<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Busiest and quietest periods by hour and day<\/span><\/td>\n<td><span style=\"font-weight: 400;\">One university found parking 25% over capacity at peak times \u2014 data led to timetable changes<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Revenue data<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Which payment methods are generating income<\/span><\/td>\n<td><span style=\"font-weight: 400;\">83% of users on modern ANPR kiosks now choose card payment<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Vehicle and EV<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Fuel type breakdown via DVLA data<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Sites with EV chargers see at least 5 extra visitors per day<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Repeat visitors<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Frequency of return visits<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Loyalty triggers can lift repeat visits to a specific tenant by up to 20%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h2><b>Using parking data to improve existing solutions<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Before adding new solutions to a car park, it is worth examining what the existing data says about current performance. Car park data can show which solutions are being used, which are underperforming, and which are generating congestion or friction.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Parking data can identify which <a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/knowledge-hub\/blog\/optimise-operations\/adding-to-your-car-park-the-benefit-of-additional-services\/\">solutions can be expanded<\/a> to increase their impact. It can also surface what is not working. A site might be paying for something that is not helping customers and being overlooked.<\/span><\/p>\n<h3><b>Example: reviewing payment infrastructure<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Data can show that one model of contactless machine is not being used as frequently as kiosks elsewhere on the site. That information can be used to identify whether a machine needs moving to a better location, or whether investing in additional kiosks would be more effective than persisting with the underperforming one.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Monitoring solutions and adjusting accordingly means investment maintains its effectiveness and solutions continue to have a positive effect on the car park.<\/span><\/p>\n<h2><b>What car park data can drive\u00a0<\/b><\/h2>\n<p><b>Car park data has informed a wide range of operational and commercial decisions across different sectors.\u00a0<\/b><\/p>\n<ul>\n<li>\n<h3><b>The right EV infrastructure<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Fuel analysis data provides an accurate projection of EV demand based on the actual vehicle mix on site. In one case, the data showed three chargers would meet demand rather than five, reducing investment.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sites with EV chargers in place have seen at least five extra visitors per day, and parking data allows the return on that investment to be tracked over time.<\/span><\/p>\n<ul>\n<li>\n<h3><b>Understanding footfall and competitor change<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Car park data has driven significant commercial decisions, including whether to open a petrol filling station and whether capacity existed to integrate with a fast food retailer.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When one retail client became concerned about a nearby competitor, ANPR reports showed visitor numbers had actually increased but stay duration had shortened. Layering those two data sets revealed visitors were making short-trip purchases then going elsewhere for their main shop. That insight directly informed a targeted promotions strategy to convert short-stayers into longer visits.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Key outcomes identified through parking data:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Auto-pay free-flow solutions lifted repeat shopper rates by 15% or more<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Opening time adjustments reduced costs at quiet periods and increased revenue at peak times<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li>\n<h3><b>Building a business case &#8211; including planning permission<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">ANPR data provides a year-on-year performance record and benchmarks a site against comparable car parks. One North of England university transformed parking revenues from \u00a32,000 per month to \u00a350,000 in their highest month after migrating to ANPR.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At Wye Valley Visitor Centre, ANPR data provided the precise traffic impact figures required for a planning application:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&#8220;Statistics gathered from our car park by Parkingeye gave us precise traffic impact data which was needed to obtain Planning Permission. This would not have been possible without Parkingeye.&#8221;<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"> \u2014\u00a0 Wye Valley Visitor Centre<\/span><\/p>\n<ul>\n<li>\n<h3><b>Improving the customer and staff experience<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Data informs adjustments across EV provision, staff parking, visiting hours and payment options, all of which reduce congestion and improve the <a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/knowledge-hub\/blog\/optimise-operations\/how-do-you-enhance-parking-without-impacting-a-visitor-experience\/\">experience for users<\/a>.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At one major UK NHS Trust:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Visitor complaints fell from 25% of all complaints received to just 0.01%<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">50,000 additional cars per month began using the facilities<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Traffic stopped spilling into surrounding roads, improving safety and access<\/span><\/li>\n<\/ul>\n<h2><b>The difference between site data and sector data<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Knowing a car park&#8217;s occupancy at 11am on a Tuesday is useful. Knowing how that compares to 3,700+ car parks across the same sector is valuable in a way that internal car park data alone cannot match.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Parkingeye has almost 600 clients across every industry sector and gathers ANPR data from over 3,700 car parks, making it 5 times larger than the nearest competitor. This provides a huge amount of information to analyse and draw comparisons from. ANPR reports can cover:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Tariff breakdowns and revenue by payment channel<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Peak period frequency and average durations<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Daily, monthly and yearly comparisons<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Trends in capacity and utilisation<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Benchmarking against sector norms and local competitors<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Types of contravention and patterns of abuse<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Car park reporting dashboards and scheduled exports for finance and operations teams<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This benchmarked parking data helps gain a deeper insight into seasonality, capacity and average behaviour. Using it, site operators can make informed decisions on pricing and strategy, reducing the likelihood of empty spaces and improving profit margin. Parkingeye clients have seen parking revenue increase by up to 40% as a direct result of ANPR-informed management decisions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sector data answers a question site data alone cannot: is this car park performing as well as it should be, compared to others like it?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">More on the full range of reporting options is available on our <\/span><a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/solutions\/reporting-data-services\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Reporting &amp; Data Services page.<\/span><\/a><\/p>\n<h3><b>Results Parkingeye clients have seen from acting on their car park data<\/b><\/h3>\n<table>\n<tbody>\n<tr>\n<td><b>Outcome<\/b><\/td>\n<td><b>Result<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Space availability<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Average 40% increase within 6 months<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Parking violations<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Halved within 3 months; reduced to a quarter within 6<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Revenue uplift<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Up to 40% increase in parking revenue<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Visitor complaints<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Fell from 25% of all complaints to 0.01%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Additional monthly visitors<\/span><\/td>\n<td><span style=\"font-weight: 400;\">50,000 more cars per month<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Throughput at free-flow sites<\/span><\/td>\n<td><span style=\"font-weight: 400;\">9 to nearly 12 cars per minute on a 700-space site<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Repeat shopper rates<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Lifted by 15%+ via auto-pay free-flow<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">EV charging sessions<\/span><\/td>\n<td><span style=\"font-weight: 400;\">65% increase after Bay Enforcement protected EV bays<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>The different types of parking data analytics<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The use of car park data analytics to streamline operations and improve decision-making is something every business can benefit from. Most modern parking management systems support all four levels, each one answering a different kind of question.<\/span><\/p>\n<p><b>Descriptive analytics &#8211; what happened<\/b><span style=\"font-weight: 400;\"> The most common type. It summarises raw data and converts it into a form that people can easily understand, revealing key metrics and measures, for example vehicle movement data showing repeat visits, the most popular dates and times, and average duration. Strong visualisation tools are central to making this actionable rather than just informational.<\/span><\/p>\n<p><b>Diagnostic analytics &#8211; why it happened<\/b><span style=\"font-weight: 400;\"> Goes one level deeper by exploring issues in greater detail to identify the source of a problem. Looking at past performance, it helps determine what happened and why. For car parks, this might mean cross-referencing a drop in Saturday occupancy against local events, competitor activity or seasonal factors.<\/span><\/p>\n<p><b>Predictive analytics &#8211; what is likely to happen<\/b><span style=\"font-weight: 400;\"> Uses historical trends to forecast future conditions. This allows businesses to make better decisions around planning, budgeting and investment, for example projecting EV demand before committing to a charging infrastructure, or anticipating seasonal peaks before they arrive.<\/span><\/p>\n<p><b>Prescriptive analytics &#8211; what to do about it<\/b><span style=\"font-weight: 400;\"> A combination of the above three, helping to determine the best course of action. In car park management terms, this is where data moves from insight to recommendation, suggesting specific changes to pricing, layout, operating hours or services based on what the combined data shows.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data analytics can also identify problems before they occur, reducing the actions needed to correct them and saving time. In identifying inefficiencies, the right questions become clear:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">What was the cause of the problem?<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Why did it happen?<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">What is the prediction for the future?<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">What is the next course of action?<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The type of analytics applied to car park data determines how deeply a site operator can answer the question of what the data actually shows. Descriptive analytics explains what happened. Diagnostic analytics explains why. Predictive analytics forecasts what is likely to happen next. Prescriptive analytics combines all three to identify the most appropriate course of action.<\/span><\/p>\n<h2><b>How to access your car park data &#8211; ParkIQ<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">ParkIQ is our car park management system and data platform. It gives site operators access to the ANPR data generated by their car park through a configurable reporting interface, covering occupancy, revenue, stay duration, vehicle data and contravention trends.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The platform covers daily visitor numbers, contraventions, revenue by payment channel, permit management and capacity data.<\/span> <span style=\"font-weight: 400;\">Bespoke reports<\/span><span style=\"font-weight: 400;\"> can be configured for specific time periods, use cases or stakeholder formats.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Full details of what ParkIQ includes and how it works are on the<\/span> <span style=\"font-weight: 400;\">ParkIQ product page<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Euro Garages, working with Parkingeye across more than 350 UK sites, uses ParkIQ reporting as an active finance tool:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&#8220;We receive detailed monthly reporting of ANPR data across the portfolio. We&#8217;ve had the same report type for years at our own request because it&#8217;s clear and easy to understand. This data is analysed by our finance teams to provide useful insights.&#8221; &#8211; Euro Garages<\/span><\/p>\n<h2><b>Is your site getting the most from its car park data?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Car parks and the people who use them do not stand still. Parking data helps site operators follow trends and adapt how a car park is managed to provide the best possible service.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In <a href=\"https:\/\/www.parkingeye.co.uk\/car-park-management\/sectors\/healthcare\/\">healthcare<\/a>, for example, car park data has been used to identify congestion patterns linked to clinic times, enabling adjustments to visiting hours and layout that improved access without requiring additional space.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Our own research found that only 3% of healthcare managers believed parking technology could yield rich behavioural data or create a crucial revenue stream. Not because the data was not there, but because it was not being surfaced or explained. That gap exists in every sector.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Research finding<\/b><\/td>\n<td><b>Stat<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Healthcare managers who associate ANPR only with enforcement<\/span><\/td>\n<td><span style=\"font-weight: 400;\">40%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Healthcare managers who believe parking data could yield commercial insight<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Healthcare sites where parking was described as a &#8220;headache&#8221;<\/span><\/td>\n<td><span style=\"font-weight: 400;\">63%+<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Healthcare sites where car park congestion creates backlogs on surrounding routes<\/span><\/td>\n<td><span style=\"font-weight: 400;\">85%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Education sites that use paid parking<\/span><\/td>\n<td><span style=\"font-weight: 400;\">9%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Universities using a modern permit solution<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Less than 1%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Working with a car park management partner typically means access to regular data reviews, sector benchmarking, and account-level support in interpreting what the data shows.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"We process 4 million data points every single day across 4,000+ UK car parks.\u00a0 Car parks generate an incredible amount of data. When used correctly, this can completely transform how a site performs. The car park is also the first and last impression a visitor has of a business, and the insight it generates touches&#8230;","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[83],"tags":[],"class_list":["post-54681","post","type-post","status-publish","format-standard","hentry","category-understand-your-data"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/posts\/54681","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/comments?post=54681"}],"version-history":[{"count":5,"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/posts\/54681\/revisions"}],"predecessor-version":[{"id":57344,"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/posts\/54681\/revisions\/57344"}],"wp:attachment":[{"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/media?parent=54681"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/categories?post=54681"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.parkingeye.co.uk\/car-park-management\/wp-json\/wp\/v2\/tags?post=54681"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}