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Amazon PPC Ad Campaign Strategy

It is a well known fact that six out of 10 Amazon sellers struggle with the Amazon Sponsored Products Campaign. While creating and launching a campaign is easy, the real trick is to optimize it even more with each iteration to improve visibility, efficiency and market performance. This is where most people end up making serious mistakes that increase their ACoS without offering considerable returns on their investments. Even with a good product and an excellent listing copy, you still need concrete Amazon PPC strategies to get the most out of your advertising campaigns.

Keeping this in mind, PPC Training in Chandigarh has prepared this comprehensive Amazon PPC Ad Strategy Guide for 2020 and recommends a robust 3-step process to make the most of their Amazon PPC campaigns. These tips will help you increase your brand’s exposure in the market while driving traffic and sales to your listings. So without further ado, let’s start!

Step 1: Activate Auto Campaign – High Bid

The objective of the “auto campaign – high bid” is to discover all the relevant keywords for your listing in the entire price range. The recommended values ​​to enter for the suggested bid rate for the keywords is $ 5.00 with a daily budget of $ 20.00 and a duration of 3 days.

Typical bid rates are much lower than $ 5.00, but when you run this campaign for 3 days with $ 5.00 as the bid rate, you’ll get a pretty good sense of the bid range and keywords for which People click on your keywords.

How to Analyse the search reports

At the beginning, our advice is to activate three campaigns. This is exactly how I do it.

The first campaign is automatic. You can say Amazon: I create an automated campaign, then Amazon is there and looks at your listing. Then Amazon starts its campaign and all it has to say is” pay and much per click.

Here I recommend you, go with a euro at the beginning. You pay only € 1 per click. And to reduce the risk because now you’re saying that I will pay € 100 a day at a time. You can decide for yourself and say € 20 “This is the end” as an example. Amazon online marketing gives you this benefit.

The second campaign is: Think what keywords are important to you? What keywords do people search before buying your product?

And the third campaign is again one of the things you can do with Google Adwords. Once you’ve set up an account with Google AdWords, you can search for specific words in the keyword planner and also show you other keywords. I think it’s really about Mass at the beginning. You want to get as many keywords as possible to see what works. And then he says wait a week because Amazon data is not directly available.

Related Article – Pay-per-click Advertising: a winning game of brand

You can then go to individual campaigns and see exactly what people clicked on, what keywords made impressions on the user, how many people clicked on it, and how many people even ordered. All of this keyword data is used to find hidden Amazon keywords. You want to optimize your listing on these keywords you found. The more keywords you have, the better.

I will explain the importance of the whole thing. The previous process. And how it works? 
Through sales, Amazon spins: when your product sells well to your keyword. Then it ranks on Amazon. Because Amazon wants to sell and if people buy your product and your product is the best, then your product is also placed above. 

And that is the ultimate goal. The more you go up in the organic searches of your keywords that you have discovered. This is the benefit of Amazon advertising.

The sixth step is very important. Always optimize again. What has changed? Are there more keywords, more lists? And with the optimization, I don’t mean you should stop the thing! This campaign is increasing that only what you need to optimize, is how much you spend, you must ensure that everything is not red.

At least reset what they cost. This is the whole secret recipe, since Amazon ranks well. Because Amazon sees someone looking for “Wellies,” he sees his ad, clicks on it and buys rubber boots for Amazon: “Aha!” 

Amazon’s pay-per-click (PPC) / marketing advertising is by far the most successful advertising model on the Internet. The inventor of this advertising model was the US company Goto com, which later changed the name of Overture and has been operating as Yahoo Search Marketing since the end of February 2006.

But Google’s success led to this advertising model: when Google started advertising in 2000, Google named this ad, AdWords was the breakthrough for the commercial success of search engines. Today it can be assumed that more than 90 percent of Google’s revenue comes from these ads.

Even if there are many similarities between search engine optimization and PPC ad reservation in a superficial view, both marketing activities differ considerably. The most obvious difference to the user is that PPC ads are marked as ads and highlighted in color.

However, from the point of view of the online marketplace, the fact that AdWords advertising is paid per click is the most important difference for search engine optimization.

Because search engine optimization initially poses higher requirements, in certain circumstances, the entire web appearance must be completely modified; If this initial obstacle is solved, the following fixed costs are still quite low and the single click is “free”.

If you want to draw parallels with offline marketing, it is very likely that search engine optimization will compare to public relations work. In both activities, it is very difficult to predict the possible benefits.

This means that a press release can be as unread as an optimization cannot produce any improvement in position. PPC ads, on the other hand, correspond to classic advertising, such as in newspapers or magazines.

Here and there you can predict in advance how many people will consume the advertising message. And from experience, both measures are relatively easy to estimate, such as ROI (return on investment). For particularly short-term activities, PPC screens are excellent.

In a very short time, with Google often only in a few minutes, the ad is activated and immediately on the web to see. And just as quickly, the ads can stop again. This makes PPC advertising an ideal form of advertising for special online store activities.

Amazon PPC Functioning

PPC advertising works in the auction model: Whoever is willing to pay per visitor at a higher price will continue to appear within the ads listed above and can earn more visitors. The minimum prices for a reservation are usually 0.10 euros per click; Above, only the game of supply and demand sets a limit. For particularly popular keywords such as “insurance comparison” or “data rescue,” Google advertisers pay more than 10 euros per click.

The search engine agency explained provides on its website a monthly comparison of different keywords. There, not only can approximate prices be determined for particularly requested search queries; Sometimes extreme differences in click prices among PPC providers  expect out of this formation.

Pay per click or cost per click, simply abbreviated PPC or CPC, comes from the English language area. 

Pay-per-click or PPC has been developed in the field of online marketing. Internet pages have advertising banners. For example, in a blog for long distance travel, you will find airline banners or search engines to book flights

These advertising banners are operated by companies. As soon as a client is aware of the advertising, no costs arise. Only when you click on the banner ad and it is forwarded to the side of the company, it costs.

Behind the system there are several ways to operate marketing. Advertising banners can be placed on search engines, blogs, private home pages or company pages. Amazon PPC is based on the same principle.

Again, the distributor has the opportunity to influence. Therefore, the product appears at all, the product of the keyword needs is considered relevant. This is because the keyword is contained in the name of the product, for example.

Another requirement is to have the product stand in the Amazon Buy box.  If these two conditions are met, the ad can be displayed.

If the keyword is relevant to several ads, they compete with each other to position the elements. To resolve this conflict, Amazon holds an auction that decides on the ranking.

For More Details join Cbitss Technoloogies CBitess Provide Best PPC training in Chandigarh | SEO Course in Chandigarh

Google’s Speed Insight: Launches The Page Speed Report In Search Console

Google’s Speed Insight: Launches The Page Speed Report In Search Console

Apart from podcasts appearing up in the SERPs, Google I/O brings another good news for SEO experts around the globe. They’re completely adding a Page Speed Report in Google Search Console.

Declaration: Finally, the profoundly foreseen page speed report in Search Console is out.

Google officially self-assessed the new page speed report this past May, but it first came out back in the month of February. That is roughly just 9 months of waiting for this report to launch.

Now that the public rollout is live, let’s uncover what’s in the report and how site owners can benefit from this.

Taking A Sneak Peak Into New Page Speed Report:

Google’s new page speed report strategically draws out data from the Chrome User Experience Report and automatically clubs together the URLs into the categories of “Fast,” Moderate,” and “Slow.” It seeems just like other Search Console reports that group URLs together based on how effectively they meet certain criteria (such as having valid structured data markup).

The report also helps to identify causing abruot slowdowns and further categorizes pages by grouping URLs with similar issues together.

Clicking on one of the identified issues to avail more information will eventually bring users to Google’s Page Speed Insights tool. Right from there, site owners can learn about how to optimize their pages to solve the specific issue.

In addition to keeping a check on the slow and moderate pages, you can dig deep into the fast pages to learn more about their performance:

How Does The Page Speed Report Works?

Google Says: You can use this report collectively for monitoring performance over time and for tracking website fixes. This means that after the issue is resolved, site owners can return to the report to track whether users actually experienced any improvement in performance.

Please See: At present this report is in its experimental phase, which means that it will be revised and improved with the flow of time. However, unlike typical Google experiments, this report will be rolling out equally to everyone.

CBitss Technologies provides PPC Training in Chandigarh based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. We also provide SEO Training in Chandigarh For more details contact us..

Ruby on Rails vs Django – Which framework is best for 2020

In the programming world, there are many web development frameworks available to developers, but as we all know, Django and Ruby on Rails work best. They are emerging as the popular web frameworks and this popularity is suspected to continue until 2020.

Ruby on Rails Vs Django Both are the right frameworks for web development — but how do you choose one over the other?

What they have in common extends from programming language similarities (Ruby for Rails and Python for Django), both of which are object-oriented and dynamically typed and their performance, which is specific to each project.

If you are trying to decide between the two, both Django and Rails are good choices — here are some things to think about that will help you make the right choice.

What is Django?

Django was released in 2005 and is a Python-based web framework and a primary choice for Python app development as well. What makes it so popular is that it is a general, open-source and free framework, which makes it easily accessible. Features at Django are very famous by developers. It was designed to simplify the process of creating complex and database-driven websites. This framework encourages rapid development with a stylish and pragmatic design.

Pros of Django Framework

• Scalable
• Mature Software with numerous Plug-ins
• Highly Customize
• Effective Admin Panel
• Django has the Representational State Transfer (REST) framework
• Adopts Battery-included approach
• Supports MVC programming
• High compatibility with databases and operating systems

Cons of Django Framework

• Lacks the capability to handle multiple requests simultaneously
• Highly reliable on ORM system
• Makes web app components tightly-coupled
• Too Monolithic

What is Ruby on Rails?

Written under MIT license, Ruby on Rails, abbreviated as RoR is a server-side, open-source web app framework. Rails is a model-view-controller and provides fantastic standard structures for a database, web services, and pages. It is considered a time-saving method for developers to write code.

This framework works mainly on two principles — DRY (Don’t Repeat Yourself) and Convention Over Configuration. The former is self-explanatory eliminating the need to perform the same task of coding over and over, while the latter means that the environment you work in, such as systems, libraries, languages ​​and more, allows many logical situations by default. This means that you can adapt to them instead of creating your own rules every time, which makes the whole programming process much easier.

Pros of Ruby on Rails

• Easy to modify and migrate
• High-speed development
• Diverse tools and presets
• Superior testing environment
• Active RoR community
• The component structure is based on Plugins and Gems — enabling high functionality with less coding.

Cons of Ruby on Rails

• Tricky to create API
• Varying quality and standard of documentation
• Low run time speed
• Lack of flexibility

The difference between Django and Rails Framework

Language: While Django uses Python, Rails is developed with Ruby, introduced in 1995. Python is one of the best programming languages ​​and is known for emphasizing the code’s clarity and readability, while Ruby is known for its attributes such as flexibility and freedom and also for its understandable syntax.

In addition, Python is the easiest programming language to learn and write quickly. There are different types of applications that can be developed with Python.

On the other side of the table, Ruby was designed with the emphasis on “enjoying” writing the language, so it’s basically fun. Although the applications built with any of them will look and work almost exactly the same, the biggest difference can be seen under the covers.

Architecture: One thing that both web development frameworks have in common is that both have adopted Model-View-Controller (MVC). For Django, however, it is called Model View Template. Both MVC and MVT are broadly similar and differ ever so slightly.

In Django, the model represents the database that describes the data structure, View is the common expression – based URL Dispatcher that controls what users see. Last but not least, a template means a web template system merged with Django Template Language (DLT). The controller part here is managed by Django himself.

With regard to Ruby on Rails, the model specifies the database data such as comments, images, posts etc. All this is taken care of by ActiveRecord. Here the view covers the data in the HTML template and then sends it to the Controller, which is later managed by Active View. Now Action Controller is the one to connect the model and view and manage requests while taking care of sending responses to the web browser.

User interface: When you make Django vs Ruby on Rails comparison based on the user interface, they are both absolute winners. That’s because both are created to offer a high-quality experience. These web-centric frameworks allow any app development agency to develop highly functional websites loaded with impeccable plugins and add-ons.

Speed ​​and performance: In the battle of Ruby on Rails Vs Django, it is observed that Rails is 0.7% faster. That’s because Rails has the advantage of a rich archive of fantastic libraries and plugins to improve speed and eventually the performance of this framework. Still, Django encourages equally fast development processes and is an incredible choice for a web framework.

Django REST framework provides convenience in the form of authentication modules, JSON series / deserializers, etc. When comparing Django to RoR we can say that Django can have an advantage because REST is one of the prominent advantages of Django.

Nevertheless, the performance of Django vs. Rails is high for both as they utilize modern programming languages ​​while providing the tools to optimize the code

Stability: Creativity and stability are two parallel elements necessary for development. We can consider the winner who can handle both effectively. Ruby on Rails has the ability to juggle both as it allows users to reuse the code to minimize dependencies. It also uses the convention of configuration modes and frees the coders from any further efforts.

On the other side of the table, Python practices a more conventional approach by adhering to all tried and tested methods to solve current problems and provide stability.

Installation: Comparing Django vs Ruby on Rails based on the installation process is not a difficult nut to crack. Django’s installation process is very simple and therefore it only takes about a minute to fully install.

But the same cannot be said about  Ruby on Rails. You must first understand what packages and gems are, as they are needed to install the packages for Ruby. These two are first installed and then run Command Gem Install Rails to finally install the latest version of the Rail’s framework

Security: In Django vs Rails comparison, we had to include the security factor as it is an indispensable part of any website or apps for that part.

Django has definitely got this feature from Python. In fact, NASA also uses Django frameworks, which in itself is enough fact that advocates how safe it is. Django is supported by medium goods while Rails is supported with active records. Django has tools that protect your Django app from SQL injection, cross-site scripting etc. and so does Rails.

Overall, both web development frameworks are a reliable alternative and can be trusted for security.

Scalability: Although the Django web framework has inherited scalability from Python, it is still a bit behind in comparison to Rails. It has better scalability which is the result of its attributes such as freedom and flexibility in code. They are both frameworks for heavy web developments, so they are both designed for scalability, but the Ruby on Rails development here takes the winning title.

Syntax: It is a known fact that Ruby’s syntax is very flexible. The benefits of Ruby on Rails may not always be associated. This can cause problems and make it more difficult to pass the project on to other team members as a feature can be achieved in many different ways and create confusion.

While Python advocates that there should be only one obvious way to do something, which makes the code easier to troubleshoot and read.

Principles of Development: Principles are like the glue that holds the entire development process together. Django has two prominent principles that are remarkable — DRY and “Explicit is better than Implicit”. This principle allows developers to create applications that are easy to understand and maintained by many people.

Ruby on Rails is also not short on development principles. It also uses DRY and Convention over Configuration, which advocates that in order to be productive, you must follow conventions instead of creating your own configurations. Doing so increases speed and efficiency.

Documentation of framework: To be simple, it is a link between Django vs Rails development framework in this regard. Both frameworks are well documented, making it easy to find the most popular FAQs and answers to the questions. The language in the documentation for both is very simple, understandable and simple, without putting the reader into the state of mayhem.

The maturity of the platform: Django was first introduced in 2005 and has since worked its way up the list of the best web development frameworks. Its latest version was released on April 2019 with many new features and better functionality.

Ruby on Rails was first introduced in 2003 but was officially declared an open-source framework in 2004. It is also regularly updated, as the latest version of it was launched in August 2018

HTML Templating: Although both Ruby on Rails & Django framework have the template as the main feature, Django uses a simple template language to allow developers to create templates with minimal programming and HTML skills. By contrast, Rails’ views (individual page templates) seem more complex.

Usage: If you are looking for a framework that helps develop complex websites based on databases and web applications in less time, with efficiency in systems administration, scientific programming, data analysis, and manipulation, then Django is the way to go.

On the other hand, Rails also helps develop database-backed web applications by providing better usability and freedom for programmers. Because Ruby is flexible in nature, it is an ideal choice for meta programming and the creation of pleasant codes.

Web Servers: For Django, the most important web servers are NGINX with WSGI, Apache, Gunicorn, and Cherokee. The database servers for Django are PostgreSQL, MySQL, SQLite, and Oracle.

While for Ruby on Rails, web frameworks use NGINX, Apache, and WEBrick as the prominent servers. Database servers for Rails include PostgreSQL and MySQL.

Community support and ecosystems: Django is an open-source framework and also has an open-source system, which means that there is a set of ​​libraries and tools, both paid and free, available to developers. Also, the official Django documentation is more than enough for reference if you need answers to any problem.

The Django community has over 11,000 people with more than 4,000 developers ready to use. Ruby on Rails, on the other hand, also has a very active community with 5,000 people dedicated to those who have already contributed a lot of Gems with reusable code

Learning To curve: It is widely known that Python is a very easy programming language to learn from its challenges, which also makes the learning curve for Django small. There are various resources available offline as well as online, which makes it easier to solve questions.

On the contrary, Rails has a very steep learning curve due to independent concepts, which a developer needs to hone in order to become proficient in Rails. So it is only recommended for experienced programmers and developers.

Learn more about these and other framework and You can also take your skills and knowledge to the next level with our Web designing training in Chandigarh at the CBitss Technologies.

Frequently Asked Questions

Question: Which is Better Ruby on Rails or Django?

It is difficult to answer this question in one sentence. There are many similarities between Django and Rails along with their differences. Both are effective in different tasks. They both give a tough competition to each other in terms of performance, speed, community support, scalability, security and more.

Question: Is Django faster than rails?

Yes. To be exact, Ruby on Rails is 0.7% faster than Django.

Question: Is Ruby on Rails worth learning in 2019?

Absolutely. Ruby on Rails is one of the preferred choices for developers and programmers to create websites and web applications. In fact,  Ruby on Rails popularity is expected to continue in 2020, making it necessary for you to learn it.

Question: What apps still use Ruby on Rails?

Applications and websites like Hulu, Instagram, Airbnb, Crunchbase, etc. are developed with Ruby on Rails.

Related article: 5 simple web design tips to boost conversation

A closer look at Android Runtime: DVM vs ART

Before moving directly to ART (Android Runtime), we need to understand what the runtime environment is and also understand some basic things, that is, the functioning of JVM and Dalvik VM.

What is the runtime?

In a simpler term, it is a system used by the operating system that is responsible for converting the code you write in a high-level language such as Java to machine code and understands it by CPU / Processor

The runtime consists of software instructions that run when your program is running, even if they are not essentially part of the code for that particular piece of software.

CPU or a more general term, our computers only understand the machine language (binary codes), so in order for it to run on the CPU, the code must be converted to the machine code, which is performed by a translator

Next, the generation of the translator in a sequence is shown.

1. Assemblers: He directly translated assembly codes to machine codes, so it was very fast.

2. Compilers: Translate the code into assembly codes and then use assemblers to translate the code into binary. The use of this compilation was slow but the execution was fast. But the biggest problem with the compiler is that the resulting machine code depended on the platform. In other words, the code that runs on a machine may not run on a different machine.

3. Interpreters: Translate the code while executing it. As the translation occurs at runtime, the execution was slow.

How does the execution of the JAVA code work?

To maintain the independence of the code platform, JAVA developed JVM, that is, Java Virtual Machine. He developed JVM specific to each platform, which means that JVM depends on the platform. The Java compiler converts the .java files into .class files, which is called bytecode. This byte code is delivered to the JVM which converts it into machine code.

This is slower than C ++ compilation but faster than interpretation.

How does Android code execution work?

On Android, Java classes become a DEX bytecode. The DEX bytecode format is translated into native machine code through ART or Dalvik runtimes. Here the DEX bytecode is independent of the device architecture.

Dalvik is an engine based on JIT (Just in time) compilation. There were inconveniences to use Dalvik, therefore, since Android 4.4 (KitKat) ART was introduced as runtime and since Android 5.0 (Lollipop) it has completely replaced Dalvik. Android 7.0 adds a Just-In-Time (JIT) compiler with code profiles for Android Runtime (ART) that constantly improves the performance of Android applications as they run.

Read also : Android Application context

Key point: Dalvik used the JIT (Just in time) compilation while ART uses the AOT (Ahead of time) compilation.

Below is the code snippet that explains the difference between Dalvik Virtual Machine and Java Virtual Machine.

Just in time (JIT)

With the Dalvik JIT compiler, every time the application is run, it dynamically translates a part of the Dalvik bytecode into machine code. As execution progresses, more bytecode is compiled and cached. Since JIT compiles only part of the code, it has a smaller memory footprint and uses less physical space on the device

Ahead of Time (AOT)

ART is equipped with an Ahead-of-Time compiler. During the app installation phase, DEX bytecode is statically converted to machine code and stored in the device storage. This is a one-time event that occurs when an app is installed on a device. Because there is no need for JIT compilation, code execution is much faster.

Since ART executes the application machine code directly (native execution), it does not hit the CPU as much as compiling a just-in-time code with Dalvik. Battery consumption is reduced due to low CPU usage.

ART also uses the same DEX bytecode as input for Dalvik. An application compiled using ART requires additional time for compilation when an application is installed and occupies a slightly larger amount of space to store the compiled code.

Why does Android use the virtual machine?

Android uses a virtual machine as its runtime environment to run the APK files that constitute an Android application. The advantages are presented below:

• The application code is isolated from the central operating system. So even if some code contains some malicious code, it will not directly affect the system files. It makes the Android operating system more stable and reliable.
• It provides cross-compatibility or platform independence. It means that even if an application is compiled on a platform such as a PC, it can still be run on the mobile platform using the virtual machine.

ART benefits

•  Applications run faster since DEX bytecode translation is done during installation.
•  Reduces application startup time since native code is executed directly
•  Improves battery performance because it saves energy used to interpret byte codes line by line.
•  Improved garbage collector.
•  Enhanced developer tool.

Drawbacks of ART

• The installation of the application takes longer due to the conversion of DEX bytecode into machine code during installation.
• As the native machine code generated in the installation is stored in the internal storage, more internal storage is required.

For more details about ART and Dalvik, you can Visit the Android training in Chandigarh.