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Spillage can look different: bookings may spike early, driving availability to zero well before the stay date.",[],{"type":922,"text":1180,"spans":1181,"direction":932},"For example, if you manage a vacation rental and you are fully booked for August by February, you may be experiencing spillage. While it can feel reassuring to have revenue secured early, demand for August may continue to build through June and July. Competitors who hold rates higher and maintain some availability may end up selling their final rooms at meaningfully higher prices than what you accepted in February.",[1182],{"start":1183,"end":1184,"type":928,"data":1185},49,126,{"id":1186,"type":701,"tags":1187,"lang":14,"slug":1188,"first_publication_date":1189,"last_publication_date":1190,"uid":1191,"url":1192,"link_type":24,"isBroken":34},"aJDMxhcAACcA6EFU",[],"how-to-tell-if-youre-losing-revenue-in-august-and-prepare-for-september","2025-08-05T06:30:32+0000","2025-11-17T14:40:01+0000","how-to-tell-if-you-are-losing-revenue-in-august","/en/blog/how-to-tell-if-you-are-losing-revenue-in-august",{"type":922,"text":1194,"spans":1195,"direction":932},"This pattern is common in properties that rely on static price lists or seasonal flat rates. Without a way to detect rising demand and adjust prices, the market can quickly absorb underpriced inventory. In practice, this can position your property as the “budget option” during a high-demand period without it being obvious until it’s too late to adjust.",[],{"type":1134,"text":1197,"spans":1198,"direction":932},"How to calculate spillage",[],{"type":922,"text":1200,"spans":1201,"direction":932},"Calculating spillage is an exercise in estimating unconstrained demand—the number of rooms you might have sold if you had unlimited inventory.",[1202,1211,1213],{"start":1203,"end":1204,"type":928,"data":1205},50,70,{"id":1206,"type":1091,"tags":1207,"lang":14,"slug":1208,"first_publication_date":1094,"last_publication_date":1095,"uid":1209,"url":1210,"link_type":24,"isBroken":34},"aMhANxYAACQApsf0",[],"why-does-unconstrained-demand-matter-in-hotels","unconstrained-demand","/en/glossary/unconstrained-demand",{"start":1203,"end":1204,"type":1212},"strong",{"start":1214,"end":1215,"type":1216},95,100,"em",{"type":922,"text":1218,"spans":1219,"direction":932},"Spillage = (Estimated Unconstrained Demand − Total Capacity) × Average Market Rate for Period",[1220],{"start":1221,"end":1222,"type":1212},0,93,{"type":922,"text":1224,"spans":1225,"direction":932},"Practical example:\nImagine you have a small hotel with 20 rooms.\nFor a specific Saturday, you sold out all 20 rooms two weeks in advance at an average rate of $150.\nBased on phone inquiries and website search data after you sold out, you estimate that 5 additional people wanted to book.\nCompetitors with availability were selling similar rooms for $220.",[1226],{"start":1221,"end":1227,"type":1212},18,{"type":922,"text":1229,"spans":1230,"direction":932},"Calculation:\n(25 potential guests − 20 actual rooms) = 5 denied bookings\n5 denied bookings × $220 potential rate = $1,100",[1231],{"start":1221,"end":1232,"type":1212},12,{"type":922,"text":1234,"spans":1235,"direction":932},"Estimated spillage = $1,100",[1236],{"start":1221,"end":1237,"type":1212},27,{"type":922,"text":1239,"spans":1240,"direction":932},"This suggests you may have missed roughly $1,100 in room revenue opportunity for that date because you sold out earlier at lower rates.",[],{"type":1134,"text":1242,"spans":1243,"direction":932},"Related KPIs and interpretation",[],{"type":922,"text":1245,"spans":1246,"direction":932},"Spillage is closely related to spoilage, but they describe opposite pricing and availability risks:",[1247],{"start":1248,"end":1249,"type":1212},31,39,{"type":1251,"text":1252,"spans":1253,"direction":932},"list-item","Spillage: This can occur when prices are set too low, leading to selling out early and potentially turning away later, higher-rate demand.",[1254],{"start":1221,"end":1255,"type":1212},9,{"type":1251,"text":1257,"spans":1258,"direction":932},"Spoilage: This can occur when prices are set too high, leading to rooms going unsold as the date passes.",[1259],{"start":1221,"end":1255,"type":1212},{"type":922,"text":1261,"spans":1262,"direction":932},"Both conditions can affect RevPAR (Revenue Per Available Room), which is commonly used as a core indicator of lodging performance.",[1263],{"start":1237,"end":1264,"type":928,"data":1265},62,{"id":1266,"type":1091,"tags":1267,"lang":14,"slug":1268,"first_publication_date":722,"last_publication_date":1153,"uid":1269,"url":1270,"link_type":24,"isBroken":34},"aLcSbREAACkAsW-y",[],"why-it-matters","revpar-revenue-per-available-room","/en/glossary/revpar-revenue-per-available-room",{"type":922,"text":1272,"spans":1273,"direction":932},"Focusing heavily on avoiding spoilage (fear of empty rooms) can encourage lowering rates and accepting early demand, which may increase the risk of spillage. Focusing heavily on avoiding spillage (keeping rates elevated to preserve inventory for peak demand) can increase the risk of spoilage if the market does not book at those levels.",[],{"type":922,"text":1275,"spans":1276,"direction":932},"Revenue management often involves balancing these two risks. Many teams aim to price rooms high enough to moderate early demand and preserve some inventory for later-booking guests, without setting rates so high that demand shifts elsewhere.",[],{"type":922,"text":1278,"spans":1279,"direction":932},"Another related concept is unconstrained demand. This is the total demand for your property regardless of capacity. Spillage is often framed as the estimated value of demand you could not accommodate because inventory was already sold.",[1280],{"start":1237,"end":1281,"type":1212},47,{"type":1134,"text":1283,"spans":1284,"direction":932},"Drivers and influence factors",[],{"type":922,"text":1286,"spans":1287,"direction":932},"Several operational and market factors can contribute to selling out too early. The following drivers are commonly associated with spillage:",[],{"type":1251,"text":1289,"spans":1290,"direction":932},"Static pricing models: Fixed seasonal rate cards can make it harder to respond to sudden spikes in demand. For example, if a concert is announced for a shoulder-season weekend, static pricing may lead to an early sell-out at comparatively low rates.",[1291,1293],{"start":1221,"end":1292,"type":1212},22,{"start":1294,"end":1295,"type":928,"data":1296},71,105,{"id":1297,"type":701,"tags":1298,"lang":14,"slug":1299,"first_publication_date":1300,"last_publication_date":1300,"uid":1301,"url":1302,"link_type":24,"isBroken":34},"aTfUhRIAACQApS1p",[],"how-events-affect-hotel-rates-what-radiohead-and-the-winter-olympics-can-teach-you","2025-12-09T08:30:00+0000","impact-events-hotel-rates-radiohead-winter-olympics","/en/blog/impact-events-hotel-rates-radiohead-winter-olympics",{"type":1251,"text":1304,"spans":1305,"direction":932},"Conservative forecasting: A fear of unsold rooms can lead teams to accept most early demand without much rate resistance. This approach tends to prioritize occupancy over rate and can increase spillage risk.",[1306],{"start":1221,"end":1307,"type":1212},25,{"type":1251,"text":1309,"spans":1310,"direction":932},"Long booking lead times: Accepting bookings 12+ months in advance without guardrails can lock in rates before demand for those dates becomes clear. This can make the property more sensitive to spillage if the market heats up later.",[1311],{"start":1221,"end":1312,"type":1212},24,{"type":1251,"text":1314,"spans":1315,"direction":932},"Lack of market data: When competitor rates and local event signals are not monitored, it can be easier to end up priced below the market without realizing it. In that scenario, value-seeking travelers may book early and consume inventory faster than expected.",[1316],{"start":1221,"end":1317,"type":1212},20,{"type":1251,"text":1319,"spans":1320,"direction":932},"Group business displacement: Taking a large group at a discounted rate during a period that might otherwise fill with higher-rate transient demand can create meaningful displacement. This is often evaluated with displacement analysis rather than intuition alone.",[1321,1323],{"start":1221,"end":1322,"type":1212},28,{"start":1324,"end":1325,"type":928,"data":1326},212,233,{"id":1327,"type":1091,"tags":1328,"lang":14,"slug":1329,"first_publication_date":1094,"last_publication_date":1095,"uid":1330,"url":1331,"link_type":24,"isBroken":34},"aMfhQBYAACcApiJ0",[],"why-does-displacement-analysis-matter-in-hotels","displacement-analysis","/en/glossary/displacement-analysis",{"type":1134,"text":1333,"spans":1334,"direction":932},"How to reduce spillage in your hotel",[],{"type":922,"text":1336,"spans":1337,"direction":932},"Controlling spillage typically involves moving from a “fill beds” mindset to a pacing and yield mindset. Here are five strategies that can help you keep availability and pricing more aligned with demand patterns:",[],{"type":1339,"text":1340,"spans":1341,"direction":932},"heading3","1. Implement dynamic pricing software",[],{"type":922,"text":1343,"spans":1344,"direction":932},"One of the more reliable ways to reduce spillage risk is to use pricing that adjusts with demand. Manual pricing updates can be slow, especially when demand changes quickly.",[],{"type":922,"text":1346,"spans":1347,"direction":932},"Dynamic pricing software monitors pickup pace continuously. If the system detects unusually fast booking velocity for a future date, it can recommend or apply rate increases to slow demand and preserve inventory. This can help reduce the chance that early, lower-rate bookings consume all availability before later-booking guests enter the market.",[1348],{"start":1221,"end":1349,"type":928,"data":1350},45,{"id":1351,"type":701,"tags":1352,"lang":14,"slug":1353,"first_publication_date":1354,"last_publication_date":535,"uid":1355,"url":1356,"link_type":24,"isBroken":34},"Z6NdPhIAACgAN6kr",[],"7-reasons-why-you-should-use-revenue-management-software","2025-02-05T12:44:48+0000","why-use-software-revenue-management","/en/blog/why-use-software-revenue-management",{"type":1339,"text":1358,"spans":1359,"direction":932},"2. Monitor your pickup pace reports",[],{"type":922,"text":1361,"spans":1362,"direction":932},"You cannot manage what you do not track. To watch for spillage, many teams monitor “pickup”—the number of reservations added for future dates over a set time window (for example, the last 7 days).",[1363],{"start":1364,"end":1365,"type":928,"data":1366},75,91,{"id":1367,"type":701,"tags":1368,"lang":14,"slug":1369,"first_publication_date":1370,"last_publication_date":1371,"uid":1372,"url":1373,"link_type":24,"isBroken":34},"aOSnpRIAACIAeitM",[],"hotel-pickup-analysis-what-it-is-and-how-to-use-it","2025-10-07T06:02:14+0000","2025-11-17T14:40:05+0000","hotel-pickup-analysis-how-to","/en/blog/hotel-pickup-analysis-how-to",{"type":922,"text":1375,"spans":1376,"direction":932},"If a weekend three months out suddenly picks up 10 bookings in a single day, it can be a signal that your rate is low for the market—or that an event is driving demand. When you see this kind of velocity, it may be worth investigating and considering a rate or restriction adjustment.",[],{"type":1339,"text":1378,"spans":1379,"direction":932},"3. Use minimum length of stay (MLOS) restrictions",[],{"type":922,"text":1381,"spans":1382,"direction":932},"Spillage often shows up on peak nights, such as New Year’s Eve or a Saturday during a local festival. If you allow one-night stays on the peak date, those rooms can be consumed quickly, which may limit flexibility for longer-stay guests.",[],{"type":922,"text":1384,"spans":1385,"direction":932},"Applying a Minimum Length of Stay (MLOS) restriction can reduce one-night bookings on peak dates and preserve inventory for guests who want multi-night stays. This approach can also support better coverage on “shoulder” dates (the quieter days before and after an event) by encouraging longer booking patterns.",[1386],{"start":1221,"end":1387,"type":928,"data":1388},52,{"id":1389,"type":701,"tags":1390,"lang":14,"slug":1391,"first_publication_date":1392,"last_publication_date":1393,"uid":1394,"url":1395,"link_type":24,"isBroken":34},"Z7d0SBEAACEAb3Bk",[],"minimum-stay-advantages-disadvantages-and-a-trick-to-manage-it-without-mistakes","2025-02-20T18:28:26+0000","2026-01-08T13:51:56+0000","minimum-stay-hotel-pros-cons-and-a-trick","/en/blog/minimum-stay-hotel-pros-cons-and-a-trick",{"type":1339,"text":1397,"spans":1398,"direction":932},"4. Manage your distribution channels",[],{"type":922,"text":1400,"spans":1401,"direction":932},"Not all bookings have the same cost structure. OTA reservations typically include commission, while direct bookings often carry lower acquisition costs. When demand is strong and sell-out risk is high, some hotels become more selective about where remaining inventory is offered.",[],{"type":922,"text":1403,"spans":1404,"direction":932},"As occupancy builds for a future period, you might consider pausing high-commission channels, tightening discounted rate plans, or limiting certain promotions far in advance. These levers can help pace demand, protect rate positioning, and guide bookings toward preferred channels or rate types.",[],{"type":1339,"text":1406,"spans":1407,"direction":932},"5. Review historical demand data",[],{"type":922,"text":1409,"spans":1410,"direction":932},"In hospitality, demand patterns often repeat. If you sold out far in advance for the second weekend of July last year, you may see a similar pattern this year unless something changes.",[],{"type":922,"text":1412,"spans":1413,"direction":932},"Reviewing historical data can help you identify dates that tend to sell quickly. Look at when you reached full occupancy in prior years; if it happened unusually early, flag those periods for closer monitoring. In many cases, starting with slightly higher initial rates—and adjusting down if needed—can provide more flexibility than starting low and selling out before the market fully reveals itself.",[1414],{"start":1221,"end":1307,"type":928,"data":1415},{"id":1416,"type":701,"tags":1417,"lang":14,"slug":1418,"first_publication_date":1419,"last_publication_date":1420,"uid":1421,"url":1422,"link_type":24,"isBroken":34},"Z6NC9RIAACYAN36z",[],"how-to-mine-your-accommodations-data-history-and-predict-the-future--excel-sheet","2025-02-05T10:52:39+0000","2025-11-17T14:38:40+0000","how-to-calculate-reservation-history","/en/blog/how-to-calculate-reservation-history","rich_text$9a5c3a9b-48e4-4981-8853-4a5068700898","rich_text","Spillage in hotels: meaning, calculation and how to reduce it | Glossary","Spillage is the revenue you miss when rooms sell out too early at low rates. Learn how to spot it, calculate it, and pace demand more profitably.",{},{"prev":1429,"next":1433},{"title":1430,"link":1431},"Repeat guest",{"to":1432},"/en/glossary/repeat-guest",{"title":1434,"link":1435},"Spoilage",{"to":1436},"/en/glossary/spoilage",1776762036477]