Purpose
1.2. Maximize revenue, prevent over/under bookings, offer targeted deals, and respond swiftly to market fluctuations.
1.3. Automate notification to pricing team and synchronize dynamic prices across direct ticketing, partner OTAs, and on-premise kiosks.
Trigger Conditions
2.2. Changes in competitors’ published ticket rates.
2.3. Sudden weather changes likely to affect walk-ins.
2.4. Predefined occupancy percentage reached (e.g., >80%).
2.5. Scheduled promotions or special event launches.
2.6. Inventory thresholds for specific ticket types.
Platform Variants
3.1. Salesforce
• Feature/Setting: Setup Scheduled Flows using Apex Triggers with integration to Ticketing custom object; configure External Services for price fetch.
• Sample: An Apex Trigger runs when “Ticket Sale” custom object updates; calls REST API for competitor price check.
3.2. Shopify
• Feature/Setting: Use Script Editor for custom pricing logic; configure “Shopify Flow” workflows for inventory and pricing triggers.
• Sample: Script adjusts ticket variant price if inventory drops below set point; API integration for weather through webhook.
3.3. Microsoft Power Automate
• Feature/Setting: Automated flows with HTTP connector to pull competitor pricing, with variable updates to “Ticket Price” field in Dynamics 365.
• Sample: Scheduled trigger pulls weather data, flows to D365 field change, emails pricing team.
3.4. Zapier
• Feature/Setting: Multi-step Zap connects ticket POS, Google Sheets (for historical tracking), and Mailchimp (for offers).
• Sample: New Row in “Sales Velocity” updates triggers price update via webhook.
3.5. HubSpot
• Feature/Setting: Custom Workflow with webhook to internal pricing API; ticket type as Deal pipeline property.
• Sample: Enrollment trigger on deal stage “Sold” with delay; adjusts ticket rate in external system.
3.6. Stripe
• Feature/Setting: Stripe API Price Object PATCH endpoint for dynamic price update of products (tickets).
• Sample: API flow runs when occupancy variable > threshold.
3.7. WooCommerce
• Feature/Setting: WooCommerce REST API “PUT products/{id}” for price change; with custom plugin for competitor scraping.
• Sample: Cron event compares current price to external XML feed.
3.8. Google Cloud Functions
• Feature/Setting: HTTP triggered function; runs pricing model, pushes to Firestore/BigQuery and webhooks to ticketing frontend.
• Sample: Function triggers on Pub/Sub with weather API event.
3.9. Amazon Web Services Lambda
• Feature/Setting: Lambda with CloudWatch Event trigger on hourly basis; invokes Secrets Manager for API tokens.
• Sample: Parses occupancy, competitor rate, pushes new price via SQS.
3.10. Twilio
• Feature/Setting: Programmable SMS; alert managers about price changes and trigger sales campaign for low-fill dates.
• Sample: SMS sent if fill rate falls below 50%.
3.11. SendGrid
• Feature/Setting: Automation API sends bulk triggered email offers after price drops or last-minute deals.
• Sample: Campaign launches after webhook notification.
3.12. Booking.com
• Feature/Setting: Connectivity API “Rates & Availability” endpoint for instant price sync to Booking.com listings.
• Sample: System sends PATCH request when new price is determined.
3.13. Google Sheets
• Feature/Setting: App Script triggers automatic recalculation or update triggered by external API push.
• Sample: Occupancy sheet updates, calculates new price.
3.14. Typeform
• Feature/Setting: Webhook pushes user input data (interest, likely visit days) into dynamic pricing logic model.
• Sample: Submit triggers “price adjustment” webhook.
3.15. Trello
• Feature/Setting: Power-Up automation moves card to “New Price Set” when price change is sent via webhook.
• Sample: Card update prompt for manual review on exceptional events.
3.16. Slack
• Feature/Setting: Incoming Webhook posts to #pricing-alerts on each automated price change event.
• Sample: Pricing channel notifies with details from dynamic adjustment.
3.17. Freshdesk
• Feature/Setting: Automations notify agents when sudden price changes may affect inbound support queries.
• Sample: Rule triggers pre-written responses.
3.18. Tableau
• Feature/Setting: Scheduled Extracts show real-time pricing changes using Web Data Connectors with automated refresh.
• Sample: Dashboard highlights price hike/cut.
3.19. Facebook Business API
• Feature/Setting: Offsite Offers API updates ticket deals based on live price logic.
• Sample: API call posts “limited time” ticket offer.
3.20. Pipedrive
• Feature/Setting: Custom fields + workflow automation update ticket lead view when price changes occur.
• Sample: Deal record updated via API from flow.
3.21. Eventbrite
• Feature/Setting: Event Update API endpoint “Update Ticket Class Price.”
• Sample: Webhook listens for demand spike, triggers PATCH.
Benefits
4.2. Better management of high/low demand periods with less manual intervention.
4.3. Consistent pricing across all sales channels and partner OTAs.
4.4. Fast response to both internal and external factors affecting visitor numbers.
4.5. Informed staff and customers via instant notifications and accurate price displays.