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Amazon Listing Optimization for Maximum Conversions (Step by Step)

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Amazon is one of the great places brands and individuals sell their products. It’s a marketplace where buyers search for what they want to purchase. 

According to research done by Statista, the site gets traffic in billions. In December alone, the website got 2.9 billion visits from target customers.

Data showing traffic to Amazon website from september 2021 to February 2022

Source: Statista

This shows that more target customers visit the site to search for products. Therefore, if you have a product you want to sell, it is essential to make sure many of your target buyers see it to increase the chance of selling it. 

This short article will teach you how to optimize your Amazon listing to increase visibility, drive more traffic to your product, and increase conversion rates and sales.

What is Amazon Product Listing Optimization

This is a strategy used to optimize your product’s visibility on Amazon. The plan lets more target customers know about your product and how it can solve their pains.

It makes it easy to rank on Amazon search engines, be discovered by target customers, increase your product’s conversion rates, and drive more sales and revenue.

Why Invest in Amazon Listing Optimization

As an individual seller or a business owner, there are important reasons why you should invest and optimize your products on Amazon. This section of the article will highlight some of these reasons and their importance when selling products through Amazon.

Attract More Target Customers to Your Products

When your listing is optimized, more target customers engage with the products you have to offer them on Amazon. Since they’re on Amazon to search for products to solve their pains, they will get to know about your product and how it can help solve their pains. 

Increase Brand Awareness

You could be a business offering products through Amazon, but most of your target customers don’t know about your brand or your products. With Amazon listing optimization and the traffic you drive to the product, more people will learn about the different products you offer. 

They will also know about your brand and engage more with it from the website links, where they get to hear from other customers and build more trust with you and your products.

Drive More Conversions and Sales

When your product is optimized with the right quality images, descriptions, and key features or keywords, your target customer can easily search for the product and engage with it. 

They can see that the products can solve their pains and be convinced to try the product to solve their challenges leading to more sales.

Steps for Amazon Listing Optimization

You want to reach more target customers and drive them to engage with your products on Amazon and even buy them, right? Well, to effectively achieve that, there are steps you can follow for your listing optimization. Here are some of these steps for your Amazon listing optimization

Research Keywords

Target customers’ search for products starts with using the keywords associated with what they want. As part of Amazon optimization, keywords target customers use in their search are essential. 

Do a keyword search to know the best keywords your customers use when searching for what to buy from Amazon. You can use the best Amazon PPC management tools and other keyword research tools to help get the best keywords.

It is also essential to use keywords with high search volume. High search volume makes it easy for many of your audience to know about your product listing.

One way to use the right keywords is to research competitors making more sales from the Amazon website. See the keywords they use and how they connect with their target audience. 

Since you’re in the same market and target the same customers, you can use those keywords for your product optimization and promotion through Amazon. 

You can also read through their product description and key features. See how they write the descriptions and how they use the keywords within the product description and key features sections.

Ensure you don’t copy their description for your products as that can affect your product’s optimization and traffic to your products, affecting your sales.

Use Informative Titles For Your Products

Another essential part of your Amazon listing optimization is your Amazon product titles. Ensure that the headlines of your title are captivating and attractive and use primary keywords in the title. 

Make the titles easy to read and ensure the target audience can get a glimpse and know more about your product from its title even before they read the description. 

Target customers now use mobile devices more than ever for their product search. As you look for the title description of your products, ensure that the title is optimized for mobile search. 

Suppose the target customer is using a mobile device and can’t engage with your product title, description, or any other part of your product optimization. In that case, they will look for other alternative products to buy. As a result, you lose an opportunity to engage and convert a potential customer and make sales.

Remember, you’re optimizing the listing to drive and engage more target customers, increase conversions, and make more sales. So, if you can’t engage target customers on their mobile devices, you lose a big chance to drive them to take action and convert to be customers.

Use Quality Images For Your Products

Your target customers need to see the product you’re promoting on Amazon, even if you have an excellent product description. As part of Amazon optimization, ensure the product pictures have a high resolution and are clear, especially your main pictures.

It will be easy for the target audience to see the images of what they want to buy clearly. You can even drive the target customers to make a purchase easily when they see the main parts of the product you sell on Amazon.

Your target audience should also be able to zoom in on the product images. It will help them see the parts of the products well. For example, here is a picture of a hp laptop from Amazon with the main product image and other zoomable images.

Zoomable images for a laptop on sale from Amazon site

Source: Amazon

When taking the images for the product, use a white background like the above images for the laptop. Your product should be large enough to occupy  85% of the space allocated for the image on the Amazon site. 

Write Optimized Product Descriptions

Your target customers need to know more about the product. So explaining how your product works in detail is essential. Help the customers know how your product solves their pains and convince them that it’s the best they can have.

Let the customers see the benefits of your product. It will help them quickly see the value and connect how the benefits will help them solve their pains.

As you write the description, use the right keywords with high search volume. The target customers mostly use keywords to search for products from the website. 

When writing the description, mention relevant details about the product that your target customers can easily understand and are more linked to the pains they want to solve. In addition, it raises their curiosity and makes them engage more with the product to learn how it will quickly help solve their challenges.

Optimize Product Key Features (Use Bullet Points)

When describing the product value and showing the target customers how it works, use bullet points to make it easy for readers to view the content about your products. 

They can quickly skim through the content and engage with it with ease. Use short sentences when showing target customers the product’s key features.

Highlight key benefits of the products to the customers for them to notice as they read and know more about the features. Don’t forget to add to this section’s primary and secondary keywords.

Add Q&A for Customers and Reviews

You have done your customer search and understand their pains and how to address them. Even if you have given the target customers all the other information and description for the product, they will have questions to ask.

You can identify the possible questions your target customers can ask about the product and then provide the best answers. For example, some customers have questions about a car vacuum cleaner sold on Amazon.

Samples of questions and answers customers asked for a car vaacum clearner on Amazon

Source: Amazon

You can also see the questions addressed by your competitors and add them to your questions collection in this section of the Amazon optimization.

You should also add keywords within this section. They will make it easy for your optimization efforts and can also drive more potential customers to engage more with this section and the others above.

To help build trust and show potential customers that your products have value, add reviews of the product from the past customers. 

Customers trust other customers. Here are the car vacuum cleaner product reviews from the above customer Q&A. Since some sellers want to get customers, it’s essential to use an Amazon review checker to see if the reviews are genuine.

Customer reviews and ratings for the car vaacum cleaner from Amazon site

Source: Amazon

When they hear that other customers with similar problems benefited from the products, they’re more likely to try the product to get equal or far much better results for their pains.

Ready to Improve your Amazon Listing For More Sales on Amazon?

Brands and other sellers are looking for the best channels to drive traffic to their products on Amazon, engage with the target audiences and convert them to make more sales. 

Using Amazon and optimizing your product listings can help you reach those goals and drive more sales for your product.

Suppose your products are not selling on Amazon. In that case, the above steps will help you optimize your product and attract a large target audience who will get to know about your product offers and even convert more customers to your amazon products.

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How Auto-GPT will revolutionize AI chatbots as we know them

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How Auto-GPT will revolutionize AI chatbots as we know them

Artificial intelligence chatbots such as OpenAI LP’s ChatGPT have reached a fever pitch of popularity recently not just for their ability to hold humanlike conversations, but because they can perform knowledge tasks such as research, searches and content generation.

Now there’s a new contender taking social media by storm that extends the capabilities of OpenAI’s offering by automating its abilities even further: Auto-GPT. It’s part of a new class of AI tools called “autonomous AI agents” that take the power of GPT-3.5 and GPT-4, the generative AI technologies behind ChatGPT, to approach a task, build on its own knowledge, and connect apps and services to automate tasks and perform actions on the behalf of users.

ChatGPT might seem magical to users for its ability to answer questions and produce content based on user prompts, such as summarizing large documents or generating poems and stories or writing computer code. However, it’s limited in what it can do because it’s capable of doing only one task at a time. During a session with ChatGPT, a user can prompt the AI with only one question at a time and refining those prompts or questions can be a slow and tedious journey.

Auto-GPT, created by game developer Toran Bruce Richards, takes away these limitations by allowing users to give the AI an objective and a set of goals to meet. Then it spawns a bot that acts like a person would, using OpenAI’s GPT model to perform AI prompts in order to approach that goal. Along the way, it learns to refine its prompts and questions in order to get better results with every iteration.

It also has internet connectivity in order to gather additional information from searches. Moreover, it has short- and long-term memory through database connections so that it can keep track of sub-tasks. And it uses GPT-4 to produce content such as text or code when required. Auto-GPT is also capable of challenging itself when a task is incomplete and filling in the gaps by changing its own prompts to get better results.

According to Richards, although current AI chatbots are extremely powerful, their inability to refine their own prompts on the fly and automate tasks is a bottleneck. “This inspiration led me to develop Auto-GPT, which can apply GPT-4’s reasoning to broader, more complex problems that require long-term planning and multiple steps,” he told Vice.

Auto-GPT is available as open source on GitHub. It requires an application programming interface key from OpenAI to access GPT-4. And to use it, people will need to install Python and a development environment such as Docker or VS Code with a Dev Container extension. As a result, it might take a little bit of technical knowhow to get going, though there’s extensive setup documentation.

How does it work?

In a text interface, Auto-GPT asks the user to give the AI a name, a role, an objective and up to five goals that it should reach. Each of these defines how the AI agents will approach the action the user wants and how it will deliver the final product.

First, the user sets a name for the AI, such as “RestaurantMappingApp-GPT,” and then set a role, such as “Develop a web app that will provide interactive maps for nearby restaurants.” The user can then set a series of goals, such as “Write a back-end in Python” and “Program a front end in HTML,” or “Offer links to menus if available” and “Link to delivery apps.”

Once the user hits enter, Auto-GPT will begin launching agents, which will produce prompts for GPT-4, then approach the original role and each of the different goals. Finally, it will then begin refining and recursing through the different prompts that will allow it to connect to Google Maps using Python or JavaScript.

It does this by breaking the overall job into smaller tasks to work on each, and it uses a primary monitoring AI bot that acts as a “manager” to make sure that they coordinate. This particular prompt asks the bot to build a somewhat complex app that could go awry if it doesn’t keep track of a number of different moving parts, so it might take a large number of steps to get there.

With each step, each AI instance will “narrate” what it’s doing and even criticize itself in order to refine its prompts depending on its approach toward the given goal. Once it reaches a particular goal, each instance will finalize its process and return its answer back to the main management task.

Trying to get ChatGPT or even the more advanced, subscription-based GPT-4 to do this without supervision would take a large number of manual steps that would have to be attended to by a human being. Auto-GPT does them on its own.

The capabilities of Auto-GPT are beneficial for neophyte developers looking to get ahead in the game, Brandon Jung, vice president of ecosystem at AI-code completion tool provider Tabnine Ltd., told SiliconANGLE.

“One benefit is that it’s a good introduction for those that are new to coding, and it allows for quick prototyping,” Jung said. “For use cases that don’t require exactness or have security concerns, it could speed up the creation process without having to be part of a broader system that includes an expert for review.”

Being able to build apps rapidly, including all the code all at once, from a simple series of text prompts would bring a lot of new templates for code into the hands of developers. Essentially providing them with rapid solutions and foundations to build on. However, they would have to go through a thorough review first before being put into production.

What kind of applications can Auto-GPT be used for?

That’s just one example of Auto-GPT’s capabilities. With its capabilities, it has wide-reaching possibilities that are currently being explored by developers, project managers, AI researchers and anyone else who can download its source code.

“There are numerous examples of people using Auto-GPT to do market research, create business plans, create apps, automate complex tasks in pursuit of a goal, such as planning a meal, identifying recipes and ordering all the ingredients, and even execute transactions on behalf of the user,” Sheldon Monteiro, chief product officer at the digital business transformation firm Publicis Sapient, told SiliconANGLE.

With its ability to search the internet, Auto-GPT can be tasked with quick market research such as “Find me five gaming keyboards under $200 and list their pros and cons.” With its ability to break a task up into multiple subtasks, the autonomous AI could then rapidly search multiple review sites, produce a market research report and come back with a list of gaming keyboards that come in under that amount and supply their prices as well as information about them.

A Twitter user named MOE created an Auto-GPT bot named “Isabella” that can autonomously analyze market data and outsource to other AIs. It does so by using the AI framework Lang-chain to gather data autonomously and do sentiment analysis on different markets.

Because Auto-GPT has access to the internet, and it can take actions on behalf of the user, it can also install applications. In the case of Twitter user Varun Mayya, who ask the bot to build some software, it discovered that he did not have Node.js installed – an environment that allows JavaScript to be run locally instead of in a web browser. As a result, it searched the internet, discovered a StackOverflow tutorial and installed it for him so it could proceed with building the app.

Auto-GPT isn’t the only autonomous agent AI currently available. Another that has come into vogue is BabyAGI, which was created by Yohei Nakajima, a venture capitalist and artificial intelligence researcher. AGI refers to “artificial general intelligence,” a hypothetical type of AI that would have the ability to perform any intellectual task – but no existing AI is anywhere close. BabyAGI is a Python-based task management system that uses the OpenAI API, like Auto-GPT, that prioritizes and builds new tasks toward an objective.

There are also AgentGPT and GodMode, which are much more user-friendly in that they use a web interface instead of needing an installation on a computer, so they can be accessed as a service. These services lower the barrier to entry by making it simple for users because they don’t require any technical knowledge to use and will perform similar tasks to Auto-GPT, such as generating code, answering questions and doing research. However, they can’t write documents to the computer or install software.

Autonomous agents are powerful but experimental

These tools do have drawbacks, however, Monteiro warned. The examples on the internet are cherry-picked and paint the technology in a glowing light. For all the successes, there are a lot of issues that can happen when using it.

“It can get stuck in task loops and get confused,” Monteiro said. “And those task loops can get pretty expensive, very fast with the costs of GPT-4 API calls. Even when it does work as intended, it might take a fairly lengthy sequence of reasoning steps, each of which eats up expensive GPT-4 tokens.”

Accessing GPT-4 can cost money that varies depending on how many tokens are used. Tokens are based on words or parts of phrases sent through the chatbot. Charges range from three cents per 1,000 tokens for prompts to six cents per 1,000 tokens for results. That means using Auto-GPT running through a complex project or getting stuck in a loop unattended could end up costing a few dollars.

At the same time, GPT-4 can be prone to errors, known as “hallucinations,” which could spell trouble during the process. It could come up with totally incorrect or erroneous actions or, worse, produce insecure or disastrously bad code when asked to create an application.

“[Auto-GPT] has the ability to execute on previous output, even if it gets something wrong it keeps going on,” said Bern Elliot, a distinguished vice president analyst at Gartner. “It needs strong controls to avoid it going off the rails and keeping on going. I expect misuse without proper guardrails will cause some damaging unexpected and unintended outcomes.”

The software development side could be equally problematic. Even if Auto-GPT doesn’t make a mistake that causes it to produce broken code, which would cause the software to simply fail, it could create an application riddled with security issues.

“Auto-GPT is not part of a full software development lifecycle — testing, security, et cetera — nor is it integrated into an IDE,” Jung said, warning about the potential issues that could arise from the misuse of the tool. “Abstracting complexity is fine if you are building on a strong foundation. However, these tools are by definition not building strong code and are encouraging bad and insecure code to be pushed into production.”

The future of Auto-GPT and other autonomous agents

Tools such as Auto-GPT, BabyAGI, AgentGPT and GodMode are still experimental, but there are broader implications in how they could be used to replace routine tasks such as vacation planning or shopping, explained Monteiro.

Right now, Microsoft has even developed simple examples of a plugin for Bing Chat. It allows users to ask it to offer them dinner suggestions that will have its AI – which is powered by GPT-4 – will roll up a list of ingredients and then launch Instacart to have them prepared for delivery. Although this is a step in the direction of automation, bots such as Auto-GPT are edging toward a potential future of all-out autonomous behaviors.

A user could ask for Auto-GPT to look through local stores, prepare lists of ingredients, compare prices and quality, set up a shopping cart and even complete orders autonomously. At this experimental point, many users may not be willing to allow the bot to go all the way through with using their credit card and deliver orders all on its own, for fear that it could go haywire and send them several hundred bunches of basil.

A similar future where an AI does this for travel agents using Auto-GPT may not be far away. “Give it your parameters — beach, four-hour max travel, hotel class — and your budget, and it will happily do all the web browsing for you, comparing options in quest of your goal,” said Monteiro. “When it is done, it will present you with its findings, and you can also see how it got there.”

As these tools begin to mature, they have a real chance of providing a way for people to automate away mundane step-by-step tasks that happen on the internet. That could have some interesting implications, especially in e-commerce.

“How will companies adapt when these agents are browsing sites and eliminating your product from the consideration set before a human even sees the brand?” said Monteiro. “From an e-commerce standpoint, if people start using Auto-GPT tools to buy goods and services online, retailers will have to adapt their customer experience.”

* Image: Freepik

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The Top 10 Benefits of Amazon AWS Lightsail: Why It’s a Great Choice for Businesses

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Amazon Web Services (AWS) is a popular cloud computing platform that offers a wide range of services to individuals and businesses alike. One of the services offered by AWS is Amazon Lightsail, which is a simplified and user-friendly way to launch and manage virtual private servers (VPS). In this article, we will discuss the benefits of using Amazon Lightsail for your business.

Cost-effective

One of the primary advantages of using Amazon Lightsail is its cost-effectiveness. The service offers a flat monthly fee for each instance, which makes it easy to predict costs and plan for your budget. Moreover, the pricing is transparent, with no hidden costs or surprises.

Lightsail Pricing

User-friendly

Amazon Lightsail is designed to be user-friendly, making it easy for even non-technical users to deploy and manage virtual private servers. The platform provides a simplified control panel that includes pre-configured software packages, such as WordPress, LAMP, and more. These packages are preconfigured, making it easy to deploy and set up a web application in minutes.

Scalable

Amazon Lightsail is designed to be scalable, which means you can easily upgrade your resources as your business grows. The platform provides a range of instance sizes to choose from, with varying CPU, RAM, and storage options. You can also scale up or down as needed, making it easy to manage your resources and costs.

Reliable

Amazon Lightsail is built on top of the AWS infrastructure, which means it benefits from AWS’s robust and reliable cloud infrastructure. This ensures that your applications and data are always available and accessible, with minimal downtime.

Secure

Amazon Lightsail provides a secure and reliable environment for your applications and data. The platform includes a range of security features, such as built-in firewalls, DDoS protection, and SSL/TLS encryption. Moreover, Lightsail instances are isolated from each other, which provides an additional layer of security.

Integrated with AWS services

Amazon Lightsail is fully integrated with other AWS services, making it easy to use Lightsail with other AWS services such as Amazon S3, Amazon RDS, and more. This integration provides a comprehensive cloud computing platform, enabling you to build and run complex applications.

Quick and easy deployment

Amazon Lightsail provides a quick and easy way to deploy web applications, with pre-configured templates for popular applications such as WordPress, Drupal, Joomla, and more. This makes it easy to deploy a web application in just a few clicks, without the need for technical knowledge.

High-performance

Amazon Lightsail instances are built on top of the latest generation of AWS infrastructure, providing high-performance and low-latency connectivity. This ensures that your applications and data are always accessible and responsive, with fast and efficient data transfer.

Easy to manage

Amazon Lightsail provides a simplified management interface, making it easy to manage your virtual private servers. The platform includes tools for monitoring your instances, configuring backups, managing DNS records, and more. Moreover, the platform provides a range of APIs and CLI tools, making it easy to automate management tasks.

Flexible

Amazon Lightsail is flexible, allowing you to choose the operating system and software stack that best suits your needs. The platform supports a range of operating systems, including Ubuntu, Debian, CentOS, and more. Moreover, you can install and configure any software stack that you need, giving you complete control over your environment.

In conclusion, Amazon Lightsail is a cost-effective, user-friendly, scalable, reliable, secure, integrated, quick, high-performance, easy-to-manage, and flexible platform for deploying and managing virtual private servers. If you’re looking for a simplified and efficient way to manage your cloud computing resources, Amazon Lightsail is definitely worth considering.

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Binance’s BNB Chain to Offer New Decentralized Storage System

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Binance’s BNB Chain to Offer New Decentralized Storage System

The release of the decentralized storage system’s white paper was having a modest effect on the price of other storage tokens on Wednesday. Filecoin (FIL), storj (STORJ), and arweave (AR) are now trading 2%, 5% and 6%, respectively, above their pre-announcement prices.

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