Personalized product recommendations via email

Purpose

 1.1. Deliver tailored alcoholic beverage product recommendations directly to wholesale clients via email, using purchase history, preferences, and browsing behavior.
 1.2. Improve customer engagement and retention by providing relevant, timely product suggestions.
 1.3. Drive repeat orders, boost cross-sell/upsell opportunities, and optimize inventory turnover.
 1.4. Nurture brand loyalty with personalized marketing at scale.

Trigger Conditions

 2.1. New order placed or historical purchase pattern meets set criteria.
 2.2. User segment enters “at risk”/inactive status (e.g., no purchase within 60 days).
 2.3. Browsing of product category or SKU not previously purchased.
 2.4. Manual or automatic tagging as high-value or VIP account.
 2.5. Special campaigns (seasonal, launch, exclusive offers).

Platform Variants

 3.1. Salesforce Marketing Cloud
  • Feature/Setting: Use "Journey Builder" + "Einstein Recommendations;" configure API triggers from CRM object changes.

 3.2. HubSpot
  • Feature/Setting: Set up "Workflows" with Email Personalization tokens tied to properties, triggers via List Membership API.

 3.3. Klaviyo
  • Feature/Setting: Flow trigger “Placed Order” or “Viewed Product;” configure personalized block with Profile API for dynamic content.

 3.4. Mailchimp
  • Feature/Setting: Customer Journeys with conditional email sends; use "Recommendations API" for section content.

 3.5. ActiveCampaign
  • Feature/Setting: Automations > "If/Else" triggers on specific tag or custom field; dynamic content API for email modules.

 3.6. Sendinblue
  • Feature/Setting: Marketing Automation workflows; Custom SMTP API to inject personalized recommendations.

 3.7. SendGrid
  • Feature/Setting: Dynamic Templates + "Substitution Tags;" use "Marketing Campaigns API" for batch processing.

 3.8. Iterable
  • Feature/Setting: Workflow Studio with event-triggered emails; Recommendations API for dynamic blocks.

 3.9. Omnisend
  • Feature/Setting: Automation > “Post-purchase” or “Custom Event” triggers; product picker via API integration.

 3.10. Constant Contact
  • Feature/Setting: Automated Email Series; use Custom Code/Personalization Fields via API for product insertion.

 3.11. Braze
  • Feature/Setting: Canvas Flows; Connected Content API for real-time product suggestions per user.

 3.12. Eloqua
  • Feature/Setting: Program Canvas with Event Listeners; integrate with Recommendation Engine via REST API.

 3.13. Marketo
  • Feature/Setting: Smart Campaigns with "Trigger Campaigns;" use Webhook to fetch product recs from backend.

 3.14. Zoho Campaigns
  • Feature/Setting: Workflow rules on field update; invoke Deluge Custom Functions for product block population.

 3.15. Campaign Monitor
  • Feature/Setting: Journey Builder with Contact Triggers; Template Language API for injecting products.

 3.16. Moosend
  • Feature/Setting: Automation Workflow > "When a purchase is made;" Dynamic Email Blocks via API call.

 3.17. Customer.io
  • Feature/Setting: Event-Triggered Campaigns; Data-driven content fields via Event or Segment Data API.

 3.18. Dotdigital
  • Feature/Setting: Program Builder for triggered sends; External Dynamic Content API for real-time updates.

 3.19. SendPulse
  • Feature/Setting: Automation 360; Personalization using REST API to pull recommendations.

 3.20. Retention Science
  • Feature/Setting: Automated Recommendation Campaign; API integration for product and preference sync.

 3.21. Microsoft Dynamics 365 Marketing
  • Feature/Setting: Customer Journey Editor with trigger on segment entry; use "Content Blocks" API for email injection.

Benefits

 4.1. Increased order values and conversion rates through relevance and timing.
 4.2. Reduced manual marketing labor; scalable personalization.
 4.3. More efficient inventory management due to improved product targeting.
 4.4. Enhanced satisfaction and retention with meaningful content.
 4.5. Detailed analytics and ROI tracking per personalized campaign.