Customer segmentation for targeted marketing

Purpose

1.1. To automate customer segmentation for targeted marketing within a Marathi restaurant, automating the separation of customers into meaningful groups using behavioral, demographic, and transactional data.
1.2. To automatedly enable hyper-personalized marketing campaigns, automating delivery of offers relevant to repeat diners, regional cuisine lovers, or high-spend customers, thereby maximizing engagement and ROI.
1.3. To automate data-driven decision-making, automating the identification of seasonal trends, customer preferences, and automatable retention strategies unique to the Marathi cuisine market.

Trigger Conditions

2.1. Automated new customer signup or profile update.
2.2. Automated purchase or order completion via POS or delivery platform.
2.3. Automated opt-in to marketing via loyalty program, email, or SMS subscription.
2.4. Automated detection of customer inactivity (e.g., no visit/order in 30 days).

Platform Variants

3.1. Twilio
• Feature/Setting: Automated SMS API triggers segmentation notifications to customers based on segment rules (e.g., frequent diner alert).
• Sample: Configure Messaging Service and automate with Segment ID in payload.

3.2. SendGrid
• Feature/Setting: Automate segmentation-driven email campaigns via Marketing Campaigns API.
• Sample: Use "list segmentation" to send Marathi cuisine festival offers.

3.3. Mailchimp
• Feature/Setting: Audience segmentation and automate email journeys based on ordering habits.
• Sample: Trigger “Birthday Club” automated flow using audience tags.

3.4. HubSpot
• Feature/Setting: Automated workflows to segment and automate nurture campaigns for VIP customers.
• Sample: Dynamic lists filter by order frequency and automate personalized emails.

3.5. Salesforce
• Feature/Setting: Marketing Cloud's Audience Studio automates customer segment creation with Einstein AI.
• Sample: Configure automated segmentation using Datorama integration for Marathi-cuisine spenders.

3.6. Segment (Twilio Segment)
• Feature/Setting: Automates user event tracking and real-time audience creation based on Marathi dish preferences.
• Sample: Automated audience builder using event "ordered_misal_pav".

3.7. Zoho CRM
• Feature/Setting: Automated lead segmentation via custom fields (e.g., Marathi food interests).
• Sample: Automation rule for “Loyalty Program” segment.

3.8. Shopify
• Feature/Setting: Automated customer tagging and segment flows based on purchase data for integrated restaurants.
• Sample: Automate triggered email flow for “Top Paneer Buyer” segment.

3.9. Google Ads Customer Match
• Feature/Setting: Automates creation of custom audiences for targeted ad delivery.
• Sample: Upload segmented customer lists for “Local Event Attendees” campaign.

3.10. Facebook Marketing API
• Feature/Setting: Automated segmentation to generate custom & lookalike audiences for Marathi Food festivals.
• Sample: Automate audience sync via Marketing API.

3.11. Klaviyo
• Feature/Setting: Automates segmented broadcast for event-based offers, integrating directly with loyalty platform.
• Sample: Configure segment-triggered flows for “Spicy Thali Lovers”.

3.12. ActiveCampaign
• Feature/Setting: Automation rules for customer list segmentation and personalized SMS/email.
• Sample: “Recent Diner” automation splits by week of last order.

3.13. Intercom
• Feature/Setting: Automated customer segmentation through behavioral and event-based triggers for chat targeting.
• Sample: Automate chat prompts for “Vegetarian Only” segment.

3.14. Constant Contact
• Feature/Setting: Segment automation for group-based broadcast (e.g., family meal promotions).
• Sample: List segmentation based on number of guests per reservation.

3.15. Freshworks CRM
• Feature/Setting: Automated workflows for tagging and nurturing segmented leads.
• Sample: Rule for “High-Value Lunch Guests” triggers lunch-hour offers.

3.16. Oracle Eloqua
• Feature/Setting: Advanced audience automation, dynamic segmentation for high-frequency Marathi cuisine fans.
• Sample: Automated orchestration of “Weekend Diner” segment flows.

3.17. Microsoft Dynamics 365 Marketing
• Feature/Setting: Automated customer journey builder based on segment data imported from POS.
• Sample: Set up “Recent Event Participant” segment automation.

3.18. Adobe Campaign
• Feature/Setting: Automate segmentation for push, SMS, and email marketing to festival attendees.
• Sample: Trigger “Ganesh Festival” creative to Marathi cuisine fans.

3.19. Braze
• Feature/Setting: Real-time segmentation and automation for multi-channel engagement (app, email, SMS).
• Sample: Automate “Happy Hour” push to regular South Mumbai diners.

3.20. PipeDrive
• Feature/Setting: Automated segmentation for repeat reservation management and offers.
• Sample: Automation for “Group Bookings” customers with personalized follow-ups.

Benefits

4.1. Automates customer data processing, saving manual effort for restaurant marketers.
4.2. Enables targeted, automatable outreach, increasing relevance and ROI of every message.
4.3. Drives automated customer loyalty with regular, personalized touchpoints based on segmentation.
4.4. Automator reduces human error in audience selection, ensuring marketing is always data-backed and accurate.
4.5. Supports automating seasonal and event-based promotions for Marathi cuisine with maximum precision and reach.