Analytics & ReportingPurpose
1.2. Automates the identification of trends in where bookings originate (e.g., online travel agents, direct website, social platforms, phone).
1.3. Enables automated reporting to managers and stakeholders, providing actionable insights for marketing and distribution channel optimization.
1.4. Supports automatedly correlating trends with promotional activities or seasonality to guide real-time strategy.
Trigger Conditions
2.2. New booking creation automatedly detected in PMS/booking engine.
2.3. Manual, on-demand automation initiated by analyst or management.
2.4. Automated update when booking source field changes or is enriched via integrations.
Platform Variants
• Feature/Setting: Reports & Dashboards API — configure automated scheduled data extracts on Lead Source for each reservation.
3.2. Microsoft Power BI
• Feature/Setting: Dataflow Automation — automate data ingestion from various booking systems and visualize trends with automated dashboards.
3.3. Google Data Studio
• Feature/Setting: Automated Connector to Google Sheets/Campaign Data — configure periodic automated refresh for booking trends.
3.4. Tableau
• Feature/Setting: Tableau Prep Conductor scheduling — set automated flows for booking source cleansing, aggregation, and visualization.
3.5. Zoho Analytics
• Feature/Setting: Data Import Automation — link with CRM/booking systems and automate report scheduling.
3.6. HubSpot
• Feature/Setting: Workflow Automation — trigger workflow on booking source property changes, send summary via automated email.
3.7. Segment
• Feature/Setting: Event Tracking Automation — automate tracking of booking source metadata, sync to analytics warehouse.
3.8. Snowflake
• Feature/Setting: Automated Data Pipelines — schedule and automate ETL for booking source analytics.
3.9. AWS Glue
• Feature/Setting: Automated ETL jobs — configure jobs to extract and transform booking source data from raw systems.
3.10. Google BigQuery
• Feature/Setting: Scheduled Queries — automate booking source trend aggregation and reporting.
3.11. Looker
• Feature/Setting: LookML Automated Reporting — build models on top of booking data, automate weekly trend digest.
3.12. Metabase
• Feature/Setting: Automated Email Reports — set up report with booking source trends, automatedly sent to teams.
3.13. Domo
• Feature/Setting: Magic ETL Automation — automate flows linking PMS/booking systems for real-time visualization.
3.14. Trello
• Feature/Setting: Power-Up for automated report card creation each time new booking source trend crosses thresholds.
3.15. Asana
• Feature/Setting: Automated task creation for marketing review when booking source anomalies detected.
3.16. Slack
• Feature/Setting: Slackbot Automation — automated notifications to marketing/ops channels with trend updates.
3.17. Monday.com
• Feature/Setting: Automation Recipes — booking source trend triggers automated action or update in dashboard.
3.18. Airtable
• Feature/Setting: Automations for regular data pull from booking APIs and automated notifications.
3.19. Mailchimp
• Feature/Setting: Automated campaign triggers when booking source surges or drops are detected.
3.20. Intercom
• Feature/Setting: Automated messaging automator segments guests based on booking source trends, triggers follow-up.
3.21. Power Automate
• Feature/Setting: Scheduled Cloud Flows — automate collection, analysis, and report delivery for booking sources.
Benefits
4.2. Enables real-time, automated decision-making by leveraging up-to-date trend analysis.
4.3. Automatedly optimizes marketing spend by identifying the highest performing channels.
4.4. Minimizes human error, ensuring accuracy in automating data tracking and reporting.
4.5. Frees team resources for higher-value activities by automating repetitive analytics and reporting tasks.
4.6. Scales with growth, supporting more booking channels and data sources seamlessly via additional automation.