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Customer segmentation for targeted campaigns

Purpose

 1.1. To automatically segment customers based on order history, demographics, preferences, and engagement, enabling targeted marketing for Andhra cuisine restaurants.
 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

 2.1. New customer registration via website or POS.
 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

 4.1. Automates labor-intensive segmentation, ensuring campaigns stay highly targeted and timely.
 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.

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