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Personalized offers based on dining history

Purpose

1.1. Automate sending personalized offers to guests based on individual dining history, preferences, order frequency, and time since last visit.
1.2. Automating the analysis of meal choices, dates of visits, and special occasions to generate tailored promotional content.
1.3. Enable fusion cuisine restaurants to increase guest engagement, automate retention, and maximize average ticket value through data-driven incentives.
1.4. Standardize the process of offer deployment, automate notifications, and drive repeat business automatically.

Trigger Conditions

2.1. Customer completes a qualifying purchase or meal.
2.2. Predefined duration since the last recorded visit detected.
2.3. Dining milestone reached (e.g., 10th visit) or specific fusion dish ordered.
2.4. Customer shares feedback or special event marked in CRM.
2.5. High-value customer identified via automated loyalty analysis.

Platform Variants

3.1. Twilio SMS
• Feature/Setting: Automated SMS; configure "Send Message" API with dynamic tokens for guest names and favorite dishes.
3.2. SendGrid
• Feature/Setting: Automated email; set up "Transactional Templates" with dynamic fields mapped to dining records.
3.3. Mailchimp
• Feature/Setting: Automated email campaign; use "Customer Journey Builder" with segmentation on dish preference.
3.4. Salesforce Marketing Cloud
• Feature/Setting: Journey automation; utilize "Customer Data Platform Segment Builder" for rule-based offers.
3.5. HubSpot
• Feature/Setting: Marketing Automation; configure "Workflows" triggered from contact activity.
3.6. ActiveCampaign
• Feature/Setting: Automation builder; trigger sequences with "Site Tracking" or "Event Tracking".
3.7. Klaviyo
• Feature/Setting: Automated flows; use "Metric Trigger" based on order or reservation events.
3.8. Segment
• Feature/Setting: Automated data collection; pipe data into "Personas" for targeting.
3.9. Zapier
• Feature/Setting: Automated workflow configuration; trigger actions across POS and messaging platforms.
3.10. Shopify
• Feature/Setting: Automated notifications; utilize "Flow" for post-purchase engagement.
3.11. Google Sheets
• Feature/Setting: Automate row triggers; use "App Script" to detect new dining records and send offers.
3.12. Trello
• Feature/Setting: Automation with "Butler"; move cards when new offers are sent/accepted.
3.13. Intercom
• Feature/Setting: Automated chat prompts; configure "Custom Bots" for offer delivery.
3.14. Facebook Messenger API
• Feature/Setting: Automated messages; configure "Send API" with customer profile triggers and fusion menu offers.
3.15. WhatsApp Business API
• Feature/Setting: Automate follow-ups; configure templates for personalized deal notifications.
3.16. Square POS
• Feature/Setting: Automated customer engagement; activate "Automated Marketing" on last order data.
3.17. Toast POS
• Feature/Setting: Automated offers via "Email Marketing Module”; configure triggers on customer segmentation.
3.18. BentoBox
• Feature/Setting: Automate email marketing; set "Offer Generator" for recurring guests.
3.19. Typeform
• Feature/Setting: Automation for collecting guest feedback; link "Webhook" to trigger personalized rewards.
3.20. LoyaltyLion
• Feature/Setting: Automated rewards; link "Rule Builder" to recognize cuisines ordered frequently and trigger offers.

Benefits

4.1. Automates personalized engagement, driving guest loyalty for Asian fusion restaurants.
4.2. Reduces manual effort by automating offer campaigns based on precise dining data.
4.3. Enables automated upsell and cross-sell opportunities, with fusion dish and occasion targeting.
4.4. Automates multi-channel communication (SMS, email, chat), maximizing reach and conversion.
4.5. Deploys real-time, automatable reward triggers to enrich the customer journey, ensuring retention is continuously automatedly managed.
4.6. Automation reduces errors, ensures personalization accuracy, and frees staff for higher-value tasks.

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