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In today’s newsletter:
$68,584/mo from a simple feature ANYONE can implement!
Stop sending the same "We miss you!" email to everyone
3 questions to ask your data every day
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Stop sending the same "We miss you!" email to everyone: How to predict churn and auto-generate save offers
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Let’s dive into it👇
Conversion Lab
1. $68,584/mo from a simple feature ANYONE can implement!

The problem: Long collection pages can frustrate users when they need to scroll back to the top just to apply a filter.
The solution: Adding a floating filter option on the collection page that’s even visible while scrolling, enabling users to refine results instantly from wherever they are.
The Results:
$68,584 per month
$823,008 per year (forecasted)
Noticeable uplift in conversion rate and engagement time on collection pages
Credit: Oliver Kenyon
AI Launch Codes
2. Stop sending the same "We miss you!" email to everyone

The above email works for Mike (3 orders, $135 LTV)
But not for Sarah (8 orders, $540 LTV)
See what happens when you send the correct email to Sarah.

Learn how to build this for your store:
Upgrade to AI Launch Codes to get the full workflow, prompts, and step-by-step guide and find them at the end of this newsletter.
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North Star
3. 3 questions to ask your data every day
1. Did I acquire customers profitably yesterday?

2. Are my customers coming back?

3. Is my cash position healthy?

Want to become a marketing GURU?
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If you're obsessed with marketing like we're obsessed with marketing, Guru is the must-attend conference of the year. We'll be covering all things email marketing: B2B, B2C, newsletters, email design, AI & more.
You can expect to walk away with new email strategies, the very latest digital trends, and how to step up your email performance. But don’t worry, we also like to have fun (dance contests, anyone?)
Don’t miss out. Join us on Nov 6th & 7th for the largest virtual & free email marketing conference.

Stop sending the same "We miss you!" email to everyone: How to predict churn and auto-generate save offers
Step 1: Export your customer data
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