Keyword Cleaner
How To Use The Keyword Cleaner
1. Copy keywords from your spreadsheet you have downloaded from Amazon and past into text area.
2. Click on the button to clean the keyword phrases.
The keyword phrase will be split at colons and semi-colons and each will be placed on a separate line.
Then the non-alphanumeric characters and commas will be removed.
Each line is less than 10 words and 80 characters, and the excess characters will be on a separate line again.
3. The second button can be used if you want to remove a particular keyword from the original keyword phrases. You can also edit the lines in this text area before you copy and paste them to your Amazon ads account.
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That's not controversial—you already know that some shoppers spend more, shop more frequently, or influence more people than others. The challenge has always been identifying exactly who these valuable customers are and understanding what makes them different.
Traditional customer segmentation (grouping by age, location, or basic purchase history) only tells part of the story. It's like trying to understand a person by knowing only their height and shoe size.
AI-powered segmentation, on the other hand, can analyze hundreds of behavior patterns and purchasing signals to identify your most valuable customer groups with remarkable precision—without requiring you to become a data scientist.
According to McKinsey & Company, businesses that excel at personalization generate 40% more revenue from targeted activities. The foundation of this personalization? Sophisticated customer segmentation.
In this guide, I'll walk you through how e-commerce store owners can leverage AI for customer segmentation in practical, actionable ways—even if terms like "neural networks" and "regression analysis" make your eyes glaze over.
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Remember when having a beautiful Shopify store was enough? Those simple days are long gone.
Today's customers don't think in channels—they seamlessly flow between your Instagram shop, TikTok videos, Facebook marketplace, and Shopify store, expecting a consistent experience at every touchpoint.
According to Harvard Business Review, customers who engage with brands across multiple channels spend 4% more on every shopping occasion in-store and 10% more online than single-channel customers. Even more compelling, with each additional channel they use, their spending increases.
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