Segmentation of customers for targeted offers

Purpose

1.1. Segment customers based on spending habits, visit frequency, menu preferences, demographics, and feedback, enabling African restaurants to deliver personalized promotions, exclusive offers, and loyalty rewards.
1.2. Automate data collection and segmentation for recurring and new visitors for precision targeting across digital channels, enhancing engagement and lifetime value.
1.3. Enable dynamic, rule-driven grouping and updating of customer records for real-time campaign eligibility.
1.4. Leverage data from POS, reservations, online orders, loyalty apps, and feedback to build multidimensional segments for granular marketing actions.

Trigger Conditions

2.1. New customer registered through website, POS, or ordering platform.
2.2. Customer completes a purchase or online order.
2.3. Periodic data sync (e.g., nightly or weekly update).
2.4. Customer leaves feedback or submits a survey.
2.5. Customer achieves a loyalty milestone or uses a promo code.

Platform Variants

3.1. Twilio Segmentation API
• Feature/Setting: Contact list creation via Twilio Segment API for rule-driven segmentation; sample config—define traits (e.g., “frequent diner”) and trigger campaign on match.
3.2. SendGrid Marketing Campaigns
• Feature/Setting: Use Dynamic Segmentation; configure by filtering on last order date, cuisine preference, and geolocation.
3.3. HubSpot Lists
• Feature/Setting: Active Lists; set auto-inclusion based on order frequency, cuisine tags, or sign-up source.
3.4. Salesforce Marketing Cloud SQL Query Activity
• Feature/Setting: Data extensions segmented with SQL; trigger automations for localized menu offers.
3.5. Mailchimp Audience Segmentation
• Feature/Setting: Multi-condition segments (example: tag = “Lagos Cuisine” AND spend > $100); auto-update as customer data changes.
3.6. Klaviyo Segments
• Feature/Setting: Real-time segments using events (purchase, site visit) for personalized offer flows.
3.7. ActiveCampaign Custom Segmentation
• Feature/Setting: Use tags and custom fields (e.g., spice tolerance); configure deals for segmented outputs.
3.8. Zoho CRM Segmentation Rules
• Feature/Setting: Auto-segmentation workflow based on last interaction and favorite dish custom field.
3.9. Constant Contact Segmented Lists
• Feature/Setting: Dynamic contacts inclusion using ethnicity, last order, and menu feedback input.
3.10. Iterable Segments
• Feature/Setting: Behavioral and demographic filters with API-triggered updates; example: segmentation by vegetarian preference.
3.11. Segment (Twilio) Personas
• Feature/Setting: Computed traits powered by event stream ingestion; configure to create “High Value Regulars.”
3.12. Google BigQuery ML
• Feature/Setting: Predictive clustering on customer purchase data, auto-feed IDs into CRM, and trigger offers.
3.13. Shopify Customer Tags (with Flow)
• Feature/Setting: Rules to apply tags (e.g., “Jollof Lover”) on order, triggering discount email automations.
3.14. LoyaltyLion Segmentation API
• Feature/Setting: Reward campaign eligibility set up on loyalty activity triggers with automated updates.
3.15. Intercom Custom Attributes
• Feature/Setting: Segmentation using tags such as “first-time order,” integrate with restaurant chatbots for outreach.
3.16. Freshworks CRM Segmentation
• Feature/Setting: Smart Segments using behavior scoring, event-based workflows for exclusive SMS offers.
3.17. Oracle Eloqua Segmentation
• Feature/Setting: Create Segments by multi-field filters (location, cuisine, spend); auto-export for campaign lists.
3.18. Adobe Campaign Audience Segmentation
• Feature/Setting: Profiles and custom fields (order history, cuisine preference); set automated audience updates.
3.19. Pipedrive Smart Contact Data
• Feature/Setting: Filter and segment by custom fields (e.g., “Drinks with Meal”); automate sequence triggers for offers.
3.20. SAP Emarsys
• Feature/Setting: Predict Segments; configure auto-grouping by life cycle stage, cuisine, or feedback loop.
3.21. Marketo Smart Lists
• Feature/Setting: Automatically include contacts based on menu choices and engagement scores for targeting.

Benefits

4.1. Increases repeat orders and visit frequency by personalizing marketing based on granular preferences.
4.2. Reduces manual effort in data analysis and list management.
4.3. Enables precise campaign targeting for higher conversion and ROI.
4.4. Boosts customer satisfaction and loyalty by delivering relevant offers and content.
4.5. Provides a scalable foundation for omnichannel outreach as business grows.