Purpose
1.2. Segmentation drives personalized campaigns (e.g., spicy dishes, vegetarian specials, festive menus), rewards loyal customers, and maximizes retention and repeat business.
1.3. Includes real-time tagging, campaign audience creation, and feedback loop collection for campaign refinement.
Trigger Conditions
2.2. Online/dine-in purchase completion.
2.3. Customer feedback submission.
2.4. Customer reaches loyalty milestone (e.g., fifth order).
2.5. Inactivity detected over 30 days.
Platform Variants
3.1 Salesforce Marketing Cloud
• Contact Builder > Attribute Groups: Auto-create customer segments using custom filters.
• Automation Studio: Launch segmentation workflows on order events.
3.2 HubSpot
• Lists API: Dynamic smart lists based on order count, dish preference, last visit.
• Workflows: Trigger segmentation post-form submission.
3.3 Klaviyo
• Segments: Rule-based segments using product tags and custom properties.
• Flows: Activate journey triggers for each segment.
3.4 Zoho CRM
• Workflow Rules: Auto-tag customers on dish category purchased.
• Custom Views: Filter customer lists for campaign targets.
3.5 Mailchimp
• Audience Segmentation: Use behavioral tags from purchase webhooks.
• API: Sync segment lists from POS systems.
3.6 Twilio
• Conversations API > Participant Attributes: Apply cuisine, frequency tags to SMS users.
• Studio Flows: Route loyalty offers by segment.
3.7 Segment (Twilio)
• Personas: Trait computation setups for spicy/non-spicy, veg/non-veg.
• Source/Catalog: Use POS as data source for real-time updates.
3.8 Iterable
• User Segmentation API: Segment via event-based triggers (app, site activity).
• Campaign API: Trigger personalized messages per cohort.
3.9 ActiveCampaign
• Automation Builder: If/Else splits for order frequency, recency, spend.
• Contact Tags: Assign Andhra-specific interest tags.
3.10 SendGrid
• Marketing Campaigns > Segmentation: Filter based on tastes and order frequency.
• Contact API: Sync segmented lists from external order data.
3.11 Intercom
• User Attributes: Auto-label by loyalty level, cuisine preference.
• Series: Send campaigns triggered by customer segment entry.
3.12 Google BigQuery
• Scheduled Queries: Classify customers using SQL for cuisine preference clusters.
• Data Transfer API: Sync segmentation data to campaign engines.
3.13 Power Automate
• Flow Triggers: On new POS entry, route data to CRM/customer segment lists.
• Conditionals: Branch by Andhra dish purchase to custom lists.
3.14 Facebook Marketing API
• Custom Audiences: Sync loyalty segments for ad retargeting.
• Lookalike API: Expand audiences based on high-spend customers.
3.15 Google Ads API
• Customer Match: Upload segmented lists for personalized offers.
• Audience Insights: Extract interests to refine segmentation logic.
3.16 Shopify
• Customer Tags: Auto-apply Andhra cuisine purchase/loyalty tags via webhooks.
• Flow App: Automate tagging based on order pattern triggers.
3.17 Zendesk
• User Fields: Configure triggers for high-feedback/loyalty segmentation.
• Triggers API: Notify marketing on VIP segment changes.
3.18 Braze
• Segment Builder: Use recipe preferences, engagement scores to create dynamic segments.
• Campaign Triggers: Send festival offers by segment.
3.19 Adobe Campaign
• Audiences: Configure segments using order data ingestion.
• Workflows: Trigger Andhra dish fans promotional batch sends.
3.20 Pipedrive
• Smart Contact Data: Identify and tag cuisine interests from deal activity.
• Workflow Automation: Update segment on new deal/order.
Benefits
4.2. Increases conversion through personalized offers reflecting Andhra cuisine preferences.
4.3. Maximizes loyalty with reward triggers precisely matching customer behavior and frequency.
4.4. Reduces churn by identifying at-risk customers and activating re-engagement strategies.
4.5. Delivers actionable insights by connecting segmentation data to analytics dashboards.