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المحاضرة الخامسة في كورس اساسيات التسويق
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محاضرة كورس التسويق ١
Session 1.pdf
Session 1.pdf
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المحاضرة التالتة في كورس اساسيات التسويق
المحاضرة التالتة في كورس اساسيات التسويق
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محاضرة كورس التسويق 2
session 2.pdf
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Sales and marketing presentation for B2B Tech Companies. This presentation highlights the need to move away from the traditional sales process to a new process driven by continuous interaction and communication with prospect clients through a digital marketing strategy. The world today is "digital" and companies need to adapt their strategies to target and capture clients through digital marketing. This marketing strategy is a combination of "Owned Media", "Earned Media" and "Paid Media". Presentation by Jonathan Donado Connect with me on: - Twitter: @donadosays - Linkedin: https://www.linkedin.com/in/jonathandonado/ B2B / Marketing / Strategy / Sales / Entrepreneur / Startups / Entrepreneurship
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ازاي تعمل خطة تسويق كاملة بنفسك؟ شوف اللقاء كامل علي اليوتيوب من هنا:
ازاي تعمل خطة تسويقية كاملة بنفسك؟.pdf
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1. The basic definition of Data, Analytics, and Data Analytics 2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making. Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. 3.Types of analytics: Predictive Analytics (What could happen?) Prescriptive Analytics (What should we do) Descriptive Analytics (What has happened?) 4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C) 5.The process of Data analytics: Data requirements, Data collection, Data processing, Data cleaning, Exploratory data analysis, Modeling and algorithms, Data product, Communication 6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics. 7.Importance of data analytics:1. Predict customer trends and behaviors Analyze, 2 interpret and deliver data in meaningful ways 3.Increase business productivity 4.Drive effective decision-making 8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path 9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities 10. Skill is required for Data analytics? 1.) Analytical Skills 2.) Numeracy Skills 3.) Technical and Computer Skills 4.) Attention to Details 5.) Business Skills 6.) Communication Skills 11. Data analytics tools 1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets. 2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac. 3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use, and has a powerful library for data manipulation and analysis. 4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
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محاضرة كورس التسويق ١
Session 1.pdf
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المحاضرة التالتة في كورس اساسيات التسويق
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walid saed
محاضرة كورس التسويق 2
session 2.pdf
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Sales and marketing presentation for B2B Tech Companies. This presentation highlights the need to move away from the traditional sales process to a new process driven by continuous interaction and communication with prospect clients through a digital marketing strategy. The world today is "digital" and companies need to adapt their strategies to target and capture clients through digital marketing. This marketing strategy is a combination of "Owned Media", "Earned Media" and "Paid Media". Presentation by Jonathan Donado Connect with me on: - Twitter: @donadosays - Linkedin: https://www.linkedin.com/in/jonathandonado/ B2B / Marketing / Strategy / Sales / Entrepreneur / Startups / Entrepreneurship
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ازاي تعمل خطة تسويق كاملة بنفسك؟ شوف اللقاء كامل علي اليوتيوب من هنا:
ازاي تعمل خطة تسويقية كاملة بنفسك؟.pdf
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1. The basic definition of Data, Analytics, and Data Analytics 2. Definition: Data: Data is a set of values of qualitative or quantitative variables. It is information in the raw or unorganized form. It may be a fact, figure, characters, symbols etc Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making. Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. 3.Types of analytics: Predictive Analytics (What could happen?) Prescriptive Analytics (What should we do) Descriptive Analytics (What has happened?) 4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C) 5.The process of Data analytics: Data requirements, Data collection, Data processing, Data cleaning, Exploratory data analysis, Modeling and algorithms, Data product, Communication 6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics. 7.Importance of data analytics:1. Predict customer trends and behaviors Analyze, 2 interpret and deliver data in meaningful ways 3.Increase business productivity 4.Drive effective decision-making 8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path 9. What recruiters look for in applicants: Problem-Solving Skills, Analytical Mind, Maths and Statistic Skills, Communication (both oral and written), Teamwork Abilities 10. Skill is required for Data analytics? 1.) Analytical Skills 2.) Numeracy Skills 3.) Technical and Computer Skills 4.) Attention to Details 5.) Business Skills 6.) Communication Skills 11. Data analytics tools 1.SAS: SAS (Statistical Analysis System) is a software suite developed by SAS Institute. sas language can be defined as a programming language in the computing field. This language is generally used for the purpose of statistical analysis. The language has the ability to read data from databases and common spreadsheets. 2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac. 3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use, and has a powerful library for data manipulation and analysis. 4.TABLEAU: Tableau Software is a software company that produces interactive data visualization products focused on business intelligence.
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#MDnATO | Modus Operandi of Marketing
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This presentation was done for my graduate digital marketing class at Indiana University (Kelley School of Business), as part of the M.S./Marketing program. There are two versions to this file: one with, and one without, the speaker notes. The speaker notes are essential. The “inspiration” came from interviews I did with Reeds Jewelers in Wilmington, NC. Reeds was looking to take their online business to the next level. The following slides outline some tactical ideas; some of which I shared with Reeds. (This assignment was completed subsequent to my interviews with Reeds). © copyright 2016 by Rick Wingender
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eMarketing value + tips & tricks
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Content-led campaigns are playing an instrumental role in brand awareness, loyalty, and advocacy. It is important to stay at the top of the consumers' minds. And that is possible via Content-driven commerce and storytelling. It is important to understand that people buy stories and not products/services. In this presentation you can learn with the examples that brands and brands in making have only one choice left for eCommerce success is integrated marketing communication across all channels.
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Smart B2B Design: Strategy and User Experience Principles that Boost Sales. Presented at the Internet Retailer Conference and Exhibition (IRCE) 2014 by Alex Schmelkin, CEO of Alexander Interactive, and Girisha Chandraraj, Head of Digital of United Stationers.
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Alex Schmelkin
Just a quick run through of how we do what we do and sit back and enjoy.
Digital Startup Street Deck
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Beven.Digital
International marketing isn't an abstract discipline which is simply created - companies have to start building their international marketing upon a solid domestic marketing foundation. And many small and mid size manufacturing companies lack that base. This presentation covers the important steps to create a solid marketing foundation to be adapted for global reach.
Great International Marketing is Built on Great Domestic Marketing
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Ed Marsh
Learn Digital Marketing and Earn Smart Way! Work From Home, Office or anywhere! visit us for more details:- www.DigitalMarketingAcademy.Site www.DigitalHub.Fun www.HIADM.COM
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A management approach to SEO or Search Engine Optimization. When it comes to SEO, there's no shortage of information on what to do and how to do it. Some of it is quite good, while other information is out of date or flat-out wrong. This presentation, delivered at the North-By-North-Shore conference near Boston in June, 2013, focuses on the overall strategy and issues that senior management must address to be successful with Search Marketing.
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المحاضرة الخامسة في كورس اساسيات التسويق
1.
W A L
I D S A E D . C O M Marketing princebles S e s s i o n 5
2.
Revise Place Promotion
3.
Today analysis Marketing plan
4.
analysis
5.
important metrics
6.
www.walidsaed.com every business has
its own KPIs traffic conversion bounce rate conversion cost demographic behaviour spent time pages scroll pages view
7.
Exploring Defined analysis ways ads not
working No sales
8.
www.walidsaed.com How we define
the problem? Customer journey
9.
www.walidsaed.com Remember sometimes the problem
in the execution
10.
www.walidsaed.com tips and tricks countries
analysis and IOS. conversion number vs conversion value male-female traffic vs conversion checkout page problem
11.
ways to continue
12.
www.walidsaed.com Types of people marketing startup digital
marketing
13.
www.walidsaed.com marketing https://www.coursera.org/learn/marke ting-management/home/welcome
14.
www.walidsaed.com digital marketing https://www.coursera.org/specializatio ns/digital-marketing
15.
www.walidsaed.com startup https://www.coursera.org/specializatio ns/business-entrepreneurship
16.
Marketing plan
17.
www.walidsaed.com situtation analysis SWOT( company) Competition context customer Collaborators
18.
www.walidsaed.com value creation market gap Targeting Positioning Product place promotion pricing
19.
THANK YOU For listening
to my talk
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