Connect with us
Cloak And Track Your Affiliate Links With Our User-Friendly Link Cloaking Tool, Try It Free


The Amazon Table is Open. Place Your Bets!



the amazon table is open place your bets

Marketing on Amazon resembles a game of poker in 2020. You bet, you win, you lose. You can get fantastic wins and you can generate losses. It all depends on your agility, and on who else is playing at your table. And there tends to be more and more players at Amazon Marketing. We interviewed around 25 professional players; Amazon marketing experts, Sellers, Vendors, technology providers, powerful agencies and also a new breed of agencies, fully dedicated to the game.

We discovered this game when we asking a seemingly innocent question to a group of leading Search agencies in 2018. “Are you active on Amazon?”. Whereas 80% of the respondents were involved in shopping campaigns, only 32% were active on Amazon Ads. We discovered this gap in our research for the Search Trends Report and already then, the idea for the new Amazon Marketing Report was starting to take form.

Seven expert interviews, over twenty respondents to a 64-question survey and 67 pages later, we have acquired insight into this magnificent universe of crazy growth, huge gains, and intense competition.

Who plays and who wins?

Amazon Ads grew by 41% between 2018 and 2019 and passed the volume of advertising revenue generated by Bing already some time ago. Amazon is now considered part of the Triopoly of global digital giants: Google, Facebook, Amazon. This notion does ignore some major Asian players, but from a European and North American scope, which is what we had in our research project, it is a very useful notion. Amazon is still the smaller player representing around 23% the size of Facebook and 12% of Google, but its’ growth is much higher than the others, and it is therefore taking market share within the Triopoly.

And advertising is not even Amazon’s primary activity. As global ecommerce leader with a 12% market share, Amazon becomes a major force to be counted within several of the strongest growth markets in the economy with consistent double-digit growth.

HMUl8Jt1DQV VrIqQetazZOMD GtMWChwX3iOwpRGlV4m qgOzIppTGjlC9lHxFFzXMOmIHyLZMBd rEJ2YlKVVSJQEHBhloTYrPfpwa2KDA1LlTJ I39HFnHWnQ5l8oHZr2kr4uOn the Amazon platform, we meet two types of players, the Sellers and the Vendors. The rules they play with are not exactly the same, but the differences are not making a significant impact on their game. It seems to be more important, whether a product is fulfilled by Amazon, and whether it is Prime eligible. And by the way, we would not be surprised if Amazon’s loyalty program, Prime, would be the leading loyalty programme in the world in terms of revenue and growth. 

Operating behind the two types of players mentioned, we find the marketing operators and these are inhouse teams, digital marketing agencies and this new type of agency which we have called the Amazon-specific agencies; fully dedicated to marketing on Amazon and often created by ex-Amazonians. It is almost like history repeating itself. How many search agencies were created by Xooglers (ex-Googlers), I wonder?

However, the biggest surprise in the game is that Amazon is a player itself. Either as an operator for Vendors, or with its’ own brands like Amazon Basics and all the time aiming to perform on its’ two obsessions: user experience and sales growth.

S14q4fjoKsQ t4b59KYtDarof7AXh2Q FtBCiRPjA1wemjOgpk3RTK xspxznH1 odIiw2HVei152Qob0EKZp3ZXQRVcSy10YO1 eD6RzdSFfURvc1RjE69zKN Kp 5KBX16E0

So, who is winning this game? Our experts gave a large range of opinions, like Megan Harbold of Kenshoo explaining how it used to be the brands and then it used to be the size of the budgets that matters, but today it is about being present and optimizing for the entire user journey to succeed.

Some inputs were surprising, like the input from Tanner Schroeder of Hanapin Marketing who simply stated that Prime is the big winner presently. For Nils Zündorf from factor-a, a tools provider it is clearly the end user who is the winner and finally for Evan Facinger from Foremost Media it is Amazon. « Because Amazon is forcing everybody to do it the way they want ». Lots of winners but not necessarily the ones we expected.

What are the rules of the game?

You can explain the marketing mix on Amazon in a very simple manner by revisiting one of the most well-known marketing models created by McCarthy in the 1960’s, the 4 P’s of marketing. The product, its definition and description, the price which plays a major role, the place which we define both as the geographic dimension for delivery as well the semantic territory (keyword positions) where the product is placed, and finally promotion incorporating advertising, special operations and peak events. Operation on the Amazon platform really requires one to optimize all 4 dimensions of this model and not just one of two. The importance of managing price was put in perspective by Nils Zündorf: « Advertisers are worried that Amazon will destroy their price if they launch their products on the platform. But Amazon already destroyed the price. »

Xh4B0DH CkWx4u0EsPCihjlrSjXY4wDhcw2tVeRs2WgFtyqWK oic3LWGbyShR75s9 blH0du4b8 LQEq7NwH9Z5 L7puViAU PGK5FRJY

Beyond these four marketing dimensions, it is important to remember, that Amazon is first and foremost a search engine and has an algorithm deciding, what the user will see. « It is a bit like Google 10 years ago ». Similar yes, but also different, because the sale will be a contributing factor to deciding, what products will appear in search and in the buy box. The faster a product is selling, the better its’ position. This « sales velocity » is part of the algorithm and thanks to this factor, there is an almost direct positive impact of advertising on positioning in the search results. This is very different from Google, where we have heard ourselves explain again and again that: “NO, there will be no direct beneficial impact on your SEO from your Google Ads spend”. Advertising is not a ranking factor. On Google.

Obviously, there are many other factors than the Sales velocity. We have categorized them in 3 sections: User experience obsessions, Sales maximization and Product attractivity. The successful Amazon marketer will act on the 4 P’s and aim to optimize the user experience and product attractivity and maximize their sales. They will do this with data. Amazon is a data-driven platform and the marketer is a Data marketer tracking KPIs, applying optimization cycles and testing all along.

How do you win?

To win a game of poker, you need to decide what cards you are betting on. To win at marketing on Amazon, you need to select the products you want to put in the game. Product selection is the first strategic choice you need to make, and it can have an impact beyond the Amazon platform. In the Amazon Marketing report, we detail four different winning strategies. They are not contrary strategies rather they correspond to different maturity stages in Amazon marketing. All the strategies have an advertising element to them. It is similar to betting – if you don’t bet, we believe it is difficult to win on Amazon today. A strong brand is not enough, products without competition hardly exists, and we rarely see players who have a significant price advantage over competing products.


We named one of these strategies “Holistic takeover”, and it was inspired by an expert Amazon marketer named Cherie Yvette. This strategy is for mature Amazon marketers, and is a real all-in poker game, where you identify a product with a strong position, analyse competitors and especially the category leader, build a feasibility and risk assessment for a category takeover, and then saturate the entire competitive space with advertising, in order to build the necessary sales velocity to become the top seller. If the strategy succeeds, you will typically have more than doubled your sales and probably lost money in the process – money you will win back quickly by maintaining your category position at a much higher leverage.

So, to win at this poker game…

Before placing your bets, you need to analyse your cards carefully. Do you have strong hand? Should you rather quit or wait for better cards? How many cards do you need to change to have a winning hand? And how fierce do your adversaries look?

Do you have the right hand? Yes? Then it is time to go all-in and dominate the table.

Source : « Marketing on Amazon in 2020 », Innovell February 2020,

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address


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



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

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading


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



image processing20210621 4841 1cb0jj

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.


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


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.


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.


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.


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.


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.


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.

Get started today with Amazon Lightsail

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading


Binance’s BNB Chain to Offer New Decentralized Storage System



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.

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading