Merchandising Insights
This report provides an overview of the performance of your merchandising offers. All sales figures are calculated and presented as CHF .
Key Results
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ATV
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AVG ANC / PAX
Loading...Overall Results
The following results show sales performance for flights sold. The date range can be tailored using the 'date picker'; however, the Year-on-Year and Month-on-Month analysis is not impacted by date range changes.
Currently 137.7k segments have been sold up to the end of the previous month, compared to 191.5k segments sold in the same period last year, a -28.1 ▼ % change.
Segment Bookings
Booking Date Range
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Year-over-Year (YoY) Analysis
A Year on Year (YoY) change of -13.0 ▼ % is observed between segments. For instance, total segments in Apr 24 was 27.9k , compared to 32.1k in Apr 23 .
Month-over-Month (MoM) Analysis
The highest variance month is Jan 24 with a -21.4 ▼ % change MoM. Additionally, Mar 24 had a -16.5 ▼ % change compared to the same month last year. Furthermore, the month of Nov 23 had one of the lower variances with a 1.2 ▲ % change.
Fare Family Trends
The largest portion of fare family bookings is the ECONOMY_BASIC category, which comprises 61.4 % of the overall revenue. Other categories, such as the ECONOMY_SAVER category, with fewer bookings, contributes 17.9 % to the total revenue.
YoY analysis reveals changes in booking patterns and revenue contributions. The ECONOMY_SAVER category saw a 40.2 ▲ % change in bookings compared to the previous year. Similarly, revenue from ECONOMY_SAVER experienced a 50.8 ▲ % change YoY.
Fare Family Breakdown
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Results by Route
Loading... route is the top-performing route for total segments and sales. The bookings and average sales per booking indicate strong demand. However, the ancillary revenue per passenger, ranked Loading... , suggesting potential to improve ancillary service upselling.ZRH-CPT has the highest ancillary revenue per passenger at 123 . Indicating a successful ancillary upsell strategy on this route.
Support
This data product is supported by the Datalex Data team. Any queries or concerns can be raised by contacting either Ash Woods or mailing data@datalex.com.