115 lines
No EOL
5 KiB
Markdown
115 lines
No EOL
5 KiB
Markdown
# Analysis: Potential Guest Revenue Loss – Airbnb Bookings
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### **Objective**
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To assess the potential impact on Guest Revenue and Guest Revenue Retained if we lose all income generated by Waiver and Deposit from all bookings with source Airbnb.
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### **Context**
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- Big portion of our bookings come from Airbnb.
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- A potential upcoming change could lead to a drop in revenue from this channel.
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- This analysis quantifies the potential loss.
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### **Methodology**
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- Timeframe analysed: Mar 2024 – Feb 2025
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- Data source: DWH
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- Key metrics analysed:
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- Total Revenue
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- Revenue Retained
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- Guest Revenue
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- Number of Bookings
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- Segmentation by source: Airbnb over Total.
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### **Key Findings**
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- Airbnb’s Guest Revenue (Waiver and Deposit) accounted for 23.0**%** of the Total Revenue in the selected period.
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- Estimated **monthly revenue at risk**: **£98,456.**
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- Airbnb’s Guest Revenue Retained (Waiver and Deposit) accounted for 14.4**%** of the Total Revenue Retained in the selected period.
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- Estimated **monthly revenue retained at risk**: **£38,243.**
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- Supporting metrics:
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- Airbnb’s Guest Revenue Retained represents 32.2% of Truvi’s Total Guest Revenue Retained.
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- The monthly amount of Host Revenue generated by Airbnb bookings amounts to **£60,213**
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### Data and analysis
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All data used was extracted from the DWH.
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- Query 1: All bookings from PMS source in the last year (March 2024 to February 2025) with their guest product and payments
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```sql
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SELECT DISTINCT
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b.id_booking,
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b.created_date_utc,
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vp.verification_payment_type,
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vp.amount_without_taxes_in_gbp,
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CASE
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WHEN vp.verification_payment_type = 'Waiver' THEN vp.superhog_fee_without_taxes_in_gbp
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ELSE vp.amount_without_taxes_in_gbp
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END AS superhog_fee_without_taxes_in_gbp,
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it.display_name AS PMS,
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b.id_user_host,
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uh.id_deal,
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uh.email,
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uh.company_name,
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b.id_booking_source,
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CASE
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WHEN b.id_booking_source = 1 THEN 'Unknown'
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WHEN b.id_booking_source = 2 THEN 'Manual'
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WHEN b.id_booking_source = 3 THEN 'Airbnb'
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WHEN b.id_booking_source = 4 THEN 'Vrbo'
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WHEN b.id_booking_source = 5 THEN 'BookingDotCom'
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WHEN b.id_booking_source = 6 THEN 'Agoda'
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WHEN b.id_booking_source = 7 THEN 'Marriott'
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WHEN b.id_booking_source = 8 THEN 'OneStepLink'
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ELSE 'Other'
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END AS booking_source
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FROM int_core__bookings b
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INNER JOIN int_core__user_host uh
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ON uh.id_user_host = b.id_user_host
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INNER JOIN staging.stg_core__integration i
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ON b.id_user_host = i.id_superhog_user
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AND b.created_at_utc BETWEEN i.created_at_utc AND COALESCE(i.deleted_at_utc, '2050-12-31')
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INNER JOIN staging.stg_core__integration_type it
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ON it.id_integration_type = i.id_integration_type
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LEFT JOIN int_core__verification_payments_v2 vp ON vp.id_verification_request = b.id_verification_request AND vp.payment_status = 'Paid'
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WHERE b.verification_request_booking_source = 'PMS'
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AND b.created_date_utc between '2024-03-01' and '2025-02-28'
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AND b.is_duplicate_booking IS FALSE;
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```
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- Query 2: Revenue numbers by deal in the last year (March 2024 to February 2025)
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```sql
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SELECT mam.id_deal,
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mam.main_deal_name,
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sum(COALESCE(created_bookings, 0)) AS total_bookings,
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sum(COALESCE(total_revenue_in_gbp, 0)) AS total_revenue,
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sum(COALESCE(total_guest_revenue_in_gbp, 0)) AS total_guest_revenue,
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sum(COALESCE(xero_operator_net_fees_in_gbp, 0)) AS invoiced_operator_revenue,
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sum(COALESCE(xero_apis_net_fees_in_gbp, 0)) AS invoiced_api_revenue,
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sum(COALESCE(revenue_retained_in_gbp , 0)) AS revenue_retained,
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sum(COALESCE(waiver_payments_in_gbp, 0)) AS waiver_payments,
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sum(COALESCE(deposit_fees_in_gbp, 0)) AS deposit_payments
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FROM reporting.monthly_aggregated_metrics_history_by_deal mam
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WHERE date BETWEEN '2024-03-01' AND '2025-02-28'
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GROUP BY 1, 2
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ORDER BY 4 DESC
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```
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To assess the potential impact of losing all Guest Revenue from Airbnb bookings, we extracted **all bookings where `booking_source = 'PMS'` from March 2024 to February 2025**. This timeframe was chosen to ensure we had **complete and finalized revenue data**.
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We then:
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- **Filtered the bookings by source = Airbnb**, and aggregated the **number of bookings and total Guest Revenue** in a pivot table, grouped by deal.
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- **Extracted total revenue across all deals**, regardless of source, for the same period.
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- **Cross-referenced Airbnb revenue with total deal revenue** to calculate the **proportion of revenue coming from Airbnb**.
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- This allowed us to **estimate the potential impact** of losing all Guest Revenue generated from Airbnb bookings.
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- We also included an estimate of the potential **Host Revenue (Invoiced Operator Revenue)** that could be affected by the loss of Airbnb bookings. Since we don't have direct data to calculate the exact impact, we **approximated it based on the proportion of bookings coming from Airbnb relative to the total number of bookings**.
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## Excel Notebook
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[Airbnb Payments.xlsx](Airbnb_Payments.xlsx) |