Customer support teams typically wait for shoppers to come to them. By that point, the shopper may already be frustrated or have abandoned their purchase.
Wishlist data gives support teams a different opportunity: proactive contact with shoppers who are actively interested in a high-value product. A shopper who has saved a $300 item is a strong candidate for a helpful nudge, a question answered, or a piece of product information that removes their hesitation.
For analysts, wishlist data is one of the richest intent signals in the store. This playbook also covers how to use Shopify Flow to route wishlist activity into reports and tagging structures that make the data usable for business intelligence.
Part A of this playbook is for customer support teams who want to proactively engage high-value shoppers.
Part B is for analysts and data teams who want to use wishlist signals for reporting and segmentation.
Wishlist Plus and Shopify Flow installed
Your support team uses a tool that can receive notifications: email, Slack, Gorgias, Zendesk, or a task tool
You have defined a price threshold above which proactive contact makes commercial sense
When a shopper adds a product above a defined price point to their wishlist, Shopify Flow creates a task or sends an alert to your support team. The team can reach out proactively with product information, answer potential questions, or offer assistance before the shopper leaves.
Step 1: Create a new workflow in Shopify Flow.
Step 2: Set the trigger.
Select the Swym trigger: Added to Wishlist.
Step 3: Add a price condition.
Click Select Condition. Under Product, select Product Price. Set the rule: price is greater than your threshold. Start with a threshold that reflects your high-consideration purchase range. For most fashion and home stores, this is between $150 and $500.
Step 4: Optional: Add a new customer condition.
Proactive outreach is more valuable for shoppers who are not yet customers. Add a second condition: customer order count is equal to 0. This filters the workflow to first-time visitors showing high purchase intent.
Step 5: Set the action.
Options by tool:
Step 6: Define the outreach message.
Your support team should reach out with a helpful, non-pressuring message. Reference the product by name. Offer assistance or product information. Do not lead with a discount.
Example outreach: 'Hi [Name], I noticed you were looking at [Product Name]. Happy to answer any questions or help you find the right option. Let me know.'
Keep it short. One question or one offer. No marketing copy.
Timing: within 24 hours of the wishlist add.
A tagging and metadata structure that makes wishlist intent data available for segmentation, reporting, and business intelligence. Wishlist Plus has built-in analytics, but this workflow extends those signals into Shopify customer records and connected CRM or BI tools.
Use Shopify Flow to apply consistent tags to customer records based on wishlist activity. Recommended tag taxonomy:
These tags are queryable in Shopify reports, Klaviyo segments, and any CRM synced to Shopify customer data.
Using Wishlist Plus analytics combined with the Shopify Flow tags:
If you use a BI tool connected to Shopify (Looker, Metabase, Power BI, or similar), Shopify customer tags created by Flow are available as attributes in your data warehouse. Build a wishlist intent dashboard that tracks the metrics above and updates automatically.
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