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Upsell and cross-sell recommendation emails

Purpose

1.1. Automate the process of sending personalized upsell and cross-sell recommendation emails to customers, increasing average order value and repeat purchase rates.
1.2. Utilize customer purchase data and behavior analytics to deliver targeted suggestions relevant to African goods, such as traditional foods, cultural artifacts, apparel, or haircare products.
1.3. Foster customer loyalty and engagement by showcasing complementary or premium products based on previous transactions or interests, specific to African imports.
1.4. Reduce manual intervention and ensure timely delivery of tailored promotions at optimal touchpoints post-purchase or browsing activity.

Trigger Conditions

2.1. Completed purchase of specific product categories (e.g., African spices, fabrics).
2.2. Cart abandonment with high-value or culturally significant items.
2.3. Browsing session that featured multiple related products but no purchase.
2.4. Time-based triggers (e.g., follow-up 7 days after initial order, pre-holiday African festivals).
2.5. Customer engagement with previous email campaigns or responses to past upsell promotions.

Platform Variants


3.1. Mailchimp
• Feature/Setting: Customer Journey Builder — Configure post-purchase trigger with "Product Purchased Is" filter; Set Content Block with dynamic recommendations.

3.2. Klaviyo
• Feature/Setting: Flow Trigger — "Placed Order" event; Dynamic Product Block linked to "Viewed Product" and "Ordered Product" properties.

3.3. ActiveCampaign
• Feature/Setting: Automation Builder — Triggered on "Makes a Purchase" with Conditional Split for related product offers.

3.4. HubSpot
• Feature/Setting: Workflow Trigger — Set on "Deal Won" or "Contact Updated" with Workflow Email for cross-sell content.

3.5. Salesforce Marketing Cloud
• Feature/Setting: Journey Builder Entry Event — Use "Purchase Complete" event; configure Email Activity with AMPscript product suggestions.

3.6. Omnisend
• Feature/Setting: Automation — Triggered by "Order Placed" or "Product Viewed"; Product Recommendation block.

3.7. SendGrid
• Feature/Setting: Marketing Campaigns — List Segmentation on "Recent Purchasers" with Dynamic Content API for product blocks.

3.8. Constant Contact
• Feature/Setting: Triggered Email Series — Automated send for custom list tags (e.g., "Made Purchase: African Jewelry").

3.9. Brevo (formerly Sendinblue)
• Feature/Setting: Automation — If/Else splits for product category purchased; Send Email step with template placeholders.

3.10. Zoho Campaigns
• Feature/Setting: Autoresponder — Triggered by "Product Category Bought"; Dynamic Content blocks for recommendations.

3.11. Shopify Email
• Feature/Setting: Automated Email — Post-purchase template with Recommended Products section tied to purchase data.

3.12. WooCommerce AutomateWoo
• Feature/Setting: Workflow Triggered by "Order Complete"; Add "Product Recommendation" action.

3.13. Drip
• Feature/Setting: Workflow — Purchase Trigger; Decision logic using "Product Tag" filters for recommendations.

3.14. Adobe Campaign
• Feature/Setting: Workflow with Event Triggers — Data Workflow ingestion from eCommerce event, Dynamic Content blocks.

3.15. Iterable
• Feature/Setting: Workflow Studio — Purchases API Event; Recommendation Template with SQL data lookups.

3.16. GetResponse
• Feature/Setting: Automation Workflow — Purchase Event; Product Recommendations via custom fields in email.

3.17. Moosend
• Feature/Setting: Automation — Trigger on "Product Purchase", Insert Product Recommendation Element.

3.18. Dotdigital
• Feature/Setting: Program Builder — Trigger on "Order Placed", Product Recommendations block added to template.

3.19. MailerLite
• Feature/Setting: Automation — E-commerce integration; After purchase, send recommendation email with product block.

3.20. Mandrill by Mailchimp
• Feature/Setting: Transactional API — Trigger on Purchase, Create Template with merge tags for custom recommendations.

Benefits

4.1. Maximizes customer lifetime value with relevant upsell/cross-sell offers.
4.2. Drives higher sales of culturally resonant products unique to African imports.
4.3. Increases automation efficiency and reduces manual email campaign workload.
4.4. Enhances customer engagement and brand loyalty through personalized outreach.
4.5. Ensures timely, data-driven interactions aligned with African goods’ seasonal or cultural buying patterns.

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