Advanced Marketing Using Recommendation Algorithms

Elevate your skills with the Advanced Marketing Using Recommendation Algorithms course, available for just $49.00 Original price was: $49.00.$21.00Current price is: $21.00. on Utralist.com! Browse our curated selection of over 60,000 downloadable digital courses across diverse Uncategorized. Benefit from expert-led, self-paced instruction and save over 80%. Start learning smarter today!

 Hours: 1

 Lectures: 13

In this course I share with you some of my most advanced tactics for promoting my business and products that go well beyond SEO.

When it comes to online marketing, everyone is so focused on social media marketing and SEO. But what people don't realize is that you can potentially get much more traffic from recommendation algorithms than from SEO.

In this course I teach you how to get the most out of recommendation algorithms, and how to make sure that your product is shown next to some of the other top products. When that happens, you get a flood of buyers of your products who come from browsing the other popular products.

So go ahead, enroll in the course, and let me open your eyes to the possibilities in the world of recommendation algorithms!

Who is the target audience?

• this course is for online entrepreneurs
• this course is for anyone trying to sell products online
• this course is for online and SEO marketers who want to improve their game and take their skills to the next level

Course Curriculum

Course Introduction

• Course Introduction (0:56)

SEO vs. Recommendation Algorithms

• The Magic of Recommendation Algorithms (3:16)
• Which Sites Have Recommendation Algorithms (4:07)
• Real Life Example (3:27)

How to Influence Recommendation Algorithms

• What Websites Look for in Your Products (0:41)
• Importance of Total Engagement, Reviews and Review Quality (3:10)
• Curating Great Reviews and Engagement (4:32)
• Patience: Algorithms Take Time to Reach Full Potential (0:49)
• How to Increase Your 'Signals' (4:31)
• Advertising to Boost Recommendations (2:42)
• Recommending Your Own Products (1:54)
• Recommending Similar Products (2:34)
• How to Influence the Signals (10:22)

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