Advanced Marketing Using Recomendation Algorithm

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Overview Recommendation algorithm is a great way to market your products or services based on the activity of a user …


Recommendation algorithm is a great way to market your products or services based on the activity of a user on the internet. We have all come across recommendation algorithms while surfing the internet, without even knowing much about it. For example, if you had just bought a laptop through an online store, you might have noticed that you keep seeing recommendations to a similar store or to stores that provide complementary products such as laptop bags, etc. These are forms of recommendation algorithms and are a wonderful way to boost your sales and brand awareness. If you know how just to use this strategy, you might see a significant improvement to your sales and brand image in no time.

This course might be of great benefit to marketing and IT professionals, provided that they have a basic knowledge of digital marketing. You will get to identify the sites that have recommendation algorithms, with a thorough comparison between recommendation algorithm vs. SEO. The course will also cover topics such as total engagement, reviews and review quality.

This course will give you access to insightful modules that will guide you on how to influence recommendation algorithms, how to increase your “signals” and how to recommend your products or similar products in websites. The course curriculum will also look into the various ways of advertising that will boost recommendations.

  • Why consider learning at Study 365?
  • Learning outcomes
  • Access Duration
  • Who is this course aimed at?
  • Entry Requirements
  • Method of assessment
  • Certification
  • Awarding body
  • Progression and career path
  • Other benefits

As improvements and advancements are made in technology, online courses are no longer just conventional means of studying at affordable costs. In many aspects, online training offers superiority to traditional learning. There is an effectiveness and convenience that traditional learning cannot provide. The overall convenience and flexibility make it a superior learning method.

Study 365 offers the most convenient path to gain an internationally recognised qualification that will give you the opportunity to put into practice your skill and expertise in an enterprise or corporate environment. You can study at your own pace at Study 365 and you will be provided with all the necessary material, tutorials, qualified course instructor and multiple free resources which include Free CV writing pack, TOTUM Discounted Card, Free career support and course demo to make your learning experience enriching and more rewarding.

  • Identify the sites that have recommendation algorithms
  • Compare between recommendation algorithms vs. SEO
  • Learn how to influence recommendation algorithms
  • Understand the importance of total engagement, reviews and review quality
  • Explore the ways of advertising to boost recommendations
  • Examine how to increase your “signals”
  • Discover how to recommend your own products and other similar products

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The content will be accessible to you 24/7. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

  • Marketing managers
  • Marketing executives
  • General managers
  • Business owners
  • Entrepreneurs
  • Business students
  •   You must be 16 years of age or more
  •   You should have a basic understanding of numeracy, English language and ICT
  • At the end of this program, learners will take an online multiple choice question assessment test. This online multiple choice question test is marked automatically, so you will receive an instant grade and know whether you have passed the course.
  • Those who successfully pass this course will be awarded a free e-certificate, and only need to pay £19 for your printed certificate.

Those who successfully complete the exam will be awarded the Certificate in Advanced Marketing Using Recommendation Algorithm

The certificate will be awarded by CPD and iAP. This internationally recognised qualification will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in the IT enterprise.

On the completion of this course, you will be qualified enough to work for a range of jobs in the marketing industry. This certificate will also help with your career progression by putting you in line to demand for a higher pay or job promotion from your employer. Listed as follows are some of the jobs this certificate will benefit you in, along with the average UK salary per annum according to,

  • Social media manager – £31,330 per annum
  • Marketing manager – £35,385 per annum
  • Marketing executive – £26,002 per annum
  • General manager – £39,008 per annum
  • Written and designed by the industry’s finest experts with over 15 years of experience
  • Repeat and revise all your lectures and enjoy a personalised learning experience
  • Gain access to quality video tutorials
  • Unlimited 12 months access from anywhere, anytime
  • Save time and money on travel
  • Learn at your convenience and leisure
  • Eligible for a TOTUM discount card
  • Free Career Support Service
  • 25% Discount on personal Statement and covering letter writing service
PLEASE NOTE: We do not provide any software with this course.

Course Curriculum

1.1 Welcome Intro 00:00:00
2.1 The Magic of Recommendation Algorithms 00:00:00
2.2 Which Sites Have Recommendation Algorithms 00:00:00
2.3 Real Life Example 00:00:00
3.1 What Websites Look for in Your Products 00:00:00
3.2 Importance of Total Engagement, Reviews and Review Quality 00:00:00
3.3 Curating Great Reviews and Engagement 00:00:00
3.4 Patience: Algorithms Take Time to Reach Full Potential 00:00:00
3.5 How to Increase Your ‘Signals’ 00:00:00
3.6 Advertising to Boost Recommendations 00:00:00
3.7 Recommending Your Own Products 00:00:00
3.8 Recommending Similar Products 00:00:00
3.9 How to Influence the Signals 00:00:00

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