How to monitor seasonal trends and peak travel periods ?

✅ Identify peak seasons and off-peak travel trends
✅ Compare booking activity across different months and years
✅ Optimize pricing and availability based on demand
✅ Plan marketing campaigns and promotions in advance

🚀 Objective: Learn how to analyze seasonal trends to maximize revenue and adjust strategies accordingly.

Extracting booking data for seasonal analysis 📦

To analyze travel periods:

Go to Client Folders in the left-hand menu

Click on Extract to CSV (top right)
Use filters to select specific timeframes (monthly, quarterly, yearly)

Download the report and open it in Excel or Google Sheets

💡 Tip: Extracting booking data over multiple years helps compare trends and identify recurring peak periods.

Key data fields for seasonal trend analysis 🔍

Column	Description
📆 Booked On	Identifies when bookings were made, helping track demand surges
📆 Start At	Reveals when travelers check in, showing the most popular travel months
📆 End At	Useful for calculating average trip length per season
🌍 City	Helps determine which destinations are busiest during peak seasons
🏨 Hotel Name / Product Name	Tracks top products in high seasons
💰 Total Price	Analyzes spend across travel periods
🏷 Promotions / Supplements	See if discounts or offers impacted demand

📌 Example: A TO notices that bookings made in January for June-August departures are consistently high — a signal to launch early promotions.

💡 Tip: Compare Booked On and Start At dates to analyze lead time and booking behavior per season.

Identifying peak and off-peak seasons 📊

To detect booking spikes and dips:

Sort data by Start At
Group bookings by month
Count bookings to find high and low seasons

📌 Example: You see that April, July, and December consistently receive the most bookings, while September and November remain slow.

💡 Tip: Introduce flash sales or seasonal promotions during slower months to maintain revenue flow.

Measuring lead time (how far in advance travelers book) ⏱

To understand planning behavior:

Compare Booked On vs Start At
Calculate time difference between booking and travel
Average the results to determine lead time by season or product type

📌 Example: Your report reveals that most summer bookings are made 5–6 months in advance, while January trips are booked only 2–4 weeks prior.

💡 Tip: Use this insight to schedule early-bird campaigns for long-lead trips.

Tracking most booked destinations and hotels by season 📍

To analyze demand by location:

Filter by City
Group bookings by Start At month
Count confirmed bookings per destination or product

📌 Example: Beach destinations peak between June and August, while cultural cities grow in popularity from October to December.

💡 Tip: Tailor your marketing messages by season — “Summer in the Islands” vs “Winter Cultural Getaways”.

Measuring seasonal revenue trends 💰

To understand how revenue changes by season:

Sort by Start At
Sum the Total Price column by month
Compare average revenue per booking in each season

📌 Example: You find December trips have the highest spend per booking due to festive travel, while March shows lower spend and volume.

💡 Tip: Consider dynamic pricing to increase profitability during peak periods.

Planning ahead based on seasonal insights 🧠

✅ Increase prices during high-demand months
✅ Launch early-bird offers for popular travel seasons
✅ Offer perks in low seasons (free nights, transfers, upgrades)
✅ Adjust inventory and secure allotments in advance
✅ Sync ad campaigns with booking cycles and lead times

📌 Example: You observe that most summer travel is booked by February, so you roll out your early summer campaigns in December.

💡 Tip: Store and compare past booking seasons to forecast demand more accurately and negotiate better with DMCs or hotels.

Takeaways

✅ Extract seasonal data to track trends and peak travel months
✅ Analyze lead time to optimize early-bird pricing
✅ Identify top destinations by season for targeted marketing
✅ Measure seasonal revenue trends to adjust pricing strategies
✅ Plan ahead with promotions and inventory management

FAQ

Q: How far in advance should I analyze booking trends?
📆 At least one full year of data helps identify consistent seasonal patterns.

Q: What’s the best way to encourage off-season bookings?
🎁 Offer discounts, added perks (e.g., free transfers), or exclusive seasonal experiences.

Q: How can I forecast demand more accurately?
📊 Compare year-over-year trends in Start At and Total Price to see seasonal growth or decline.

📌 Need help? Visit the KOOB Knowledge Base or contact KOOB Support 🚀