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Trigger: Contact leaves items in the cart.

Posted: Wed Dec 04, 2024 9:18 am
by mdsah512534
Trigger: Contact signs up or makes their first purchase.
Step 1: Send a welcome email introducing the brand, its values, and customer testimonials.
Step 2: Wait 2 days and send an email with popular product recommendations (we’ll talk more about this later).
Step 3: Wait 2 more days and send a follow-up email with a discount on their first purchase.
Impact: Guides new customers seamlessly into their brand world, boosting initial engagement and laying the foundation for a long-term relationship.

Further reading: 10 Welcome Email Examples to Begin Customer Relationships Right

2. Abandoned cart recovery
Objective: Recover potential lost sales.

Abandoned cart reminders are a proven way to win back customers who were close to making a purchase. In this scenario, when a shopper leaves items in their cart for more than 2 hours, they are sent an email reminding them to complete the purchase. Adding product recommendations or even a limited-time discount in the follow-up can further boost conversion rates.

Example: An e-commerce home décor store Chinese Overseas Canada Phone Number Data automatically follows up with customers after their cart abandonment, reminding them of the items and offering a small discount to encourage completion.

Step 1: Trigger a push notification 10 minutes after cart is abandoned
Step 2: Wait 2 hours and send an abandoned cart reminder email if no purchase is made. Otherwise, exit automation.
Step 3: Wait 1 day. If no action is taken, send a follow-up email with a small incentive (e.g., a discount valid for 7 days).
Step 4: Wait 5 more days. If the customer still hasn’t acted, send a final reminder to claim their discount.

Source

Impact: Increases revenue by converting otherwise lost sales and creating a sense of urgency to complete purchases.

Further reading: 10 Abandoned Cart Email Examples & Best Practices to Boost Sales

3. Product recommendation engine
Objective: Drive conversions through tailored suggestions.

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Personalized product recommendations can significantly boost engagement and sales by providing shoppers with items they’re more likely to buy. Automation allows for dynamic recommendations based on browsing history, past purchases, or preferences. This scenario in marketing automation for retail uses product feeds to keep recommendations relevant and personalized, with minimal setup required.

Did you know? Personalized content can increase your marketing ROI by 10-30%.

Example: An online bookstore sends personalized recommendations based on purchase history, helping customers discover similar or complementary titles and generate cross-selling opportunities.