Marketing and Customer RetentionPurpose
1.2. Tailor content based on customer purchases, browsing history, preferences, in-stock items, and local promotions for personalized appeal.
Trigger Conditions
2.2. Customer completes a purchase or visits specific product pages.
2.3. Seasonal promotion campaigns (e.g., spring, fall, holiday).
2.4. Significant change in browsing or engagement patterns detected.
Platform variants
3.1. Mailchimp
• Feature/Setting: Use "Customer Segments" and "Product Recommendations" blocks for dynamic content linked to the e-commerce catalog.
• Sample Configuration: Create behavioral segments > connect WooCommerce or Shopify > enable personalize recommendations in campaign editor.
3.2. Klaviyo
• Feature/Setting: Dynamic Product Feed; "Flows" with trigger on list join or purchase event.
• Sample Configuration: Integrate store > set up event-triggered flow > insert catalog recommendation block filtering by tag.
3.3. Salesforce Marketing Cloud
• Feature/Setting: "Einstein Recommendations" with data extensions and automation studio.
• Sample Configuration: Configure data extension for purchase/browse > embed recommendations module in template.
3.4. HubSpot
• Feature/Setting: “Smart Content” in email builder, with conditional segments from CRM.
• Sample Configuration: Sync contact list with e-commerce activity > set smart rules for content blocks in the email.
3.5. ActiveCampaign
• Feature/Setting: “Conditional Content” selector in campaign composer with product catalog sync.
• Sample Configuration: Map catalog with CSV import > use segment builder on previous purchases.
3.6. ConvertKit
• Feature/Setting: Custom audience tags and “Product Recommendation” snippets.
• Sample Configuration: Use automation rules to apply tags on purchase > reference tags in email content logic.
3.7. Zoho Campaigns
• Feature/Setting: “List Segmentation” and dynamic content merge tags.
• Sample Configuration: Import segment data from Zoho CRM > assign merge tags per segment.
3.8. Omnisend
• Feature/Setting: “Product Picker” in email + conditional, behavior-based email pathway.
• Sample Configuration: Sync with Shopify > drag `product recommender` block into workflow.
3.9. SendGrid
• Feature/Setting: "Dynamic Templates" with substitution tags for product information.
• Sample Configuration: Use API to pass customer and catalog data > render personalized block via dynamic template.
3.10. GetResponse
• Feature/Setting: List segment filters, with “Product Module” in advanced editor.
• Sample Configuration: Filter audience based on past campaign engagement > select product set for each segment in the builder.
3.11. Drip
• Feature/Setting: “E-commerce CRM” segmentation and dynamic content insertion.
• Sample Configuration: Set dynamic blocks by purchase data > configure “automation rules” for behavior.
3.12. Adobe Campaign
• Feature/Setting: “Personalization blocks” and “target data” mapping in campaign.
• Sample Configuration: Link relational data on customer actions > set personalization block properties in template.
3.13. Constant Contact
• Feature/Setting: “Contact segments” with product highlights by group.
• Sample Configuration: Create list for Amish furniture subscribers > add custom highlight block.
3.14. Moosend
• Feature/Setting: “Conditional visibility” in HTML widget by user properties.
• Sample Configuration: Set segments for tagged furniture interests > render custom product suggestions.
3.15. Mailjet
• Feature/Setting: “Personalization variables” + event triggers.
• Sample Configuration: Map JSON object of product recs > use variables for content replacement.
3.16. Brevo (ex-SendinBlue)
• Feature/Setting: “Dynamic personalization” using event triggers + segment filters.
• Sample Configuration: Define segments from e-commerce plugin > trigger campaign with differing blocks.
3.17. AWeber
• Feature/Setting: “Dynamic Content” tags drawing from custom fields.
• Sample Configuration: Assign product interest in list profile > reference in broadcast email.
3.18. Benchmark Email
• Feature/Setting: “List Segmentation” + conditional text/image blocks.
• Sample Configuration: Tag Amish-made interest on signup > use conditionals for product displays.
3.19. Iterable
• Feature/Setting: “Catalog-based personalization” and user event triggers.
• Sample Configuration: Pull data from e-commerce > automate send based on browse action.
3.20. Dotdigital
• Feature/Setting: “Segment Builder” with real-time product recommendation modules.
• Sample Configuration: Integrate e-commerce feed > craft segmented campaign with dynamic product module.
3.21. Emarsys
• Feature/Setting: “Predict Recommendation” blocks in Smart Email Content.
• Sample Configuration: Sync catalog > configure rules for Amish furniture segmentation in block.
Benefits
4.2. Drives return traffic and encourages larger cart value with matched recommendations.
4.3. Builds long-term customer relationships via high personalization.
4.4. Reduces manual email curation workload for marketers.
4.5. Enhances ability to react fast to shifting customer interests or inventory.