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Amazon EC2 + Judge.me Product Reviews Integrations

Appy Pie Connect allows you to automate multiple workflows between Amazon EC2 and Judge.me Product Reviews

About Amazon EC2

Amazon Elastic Compute Cloud (Amazon EC2) is a web service provides secure, reliable, scalable, and low-cost computational resources. It gives developers the tools to build virtually any web-scale application.

About Judge.me Product Reviews

Judge.me is a reviews app that helps you collect and display product reviews and site reviews with photos, videos and Q&A. Easily import reviews from Yotpo, Loox, Stamped, Shopify and AliExpress. Leverage user-generated content to boost your conversion rate, organic traffic, and buyer engagement

Judge.me Product Reviews Integrations

Best Amazon EC2 and Judge.me Product Reviews Integrations

  • Amazon EC2 Slack

    Amazon EC2 + Slack

    Get notified in Slack when a new instance is created in Amazon EC2 Read More...
    When this happens...
    Amazon EC2 New Instance
     
    Then do this...
    Slack Send Channel Message
    Amazon EC2 is a web service that provides resizable compute capacity in the cloud. With this integration, you can get a Slack message when an EC2 instance is launched. Useful for keeping track of your resource usage and spotting when someone else has snuck in and rented your spot from under you. Connecting Amazon EC2 to Slack is easy and does not coding knowledge.
    How It Works
    • A new instance is created in Amazon EC2
    • Appy Pie Connect posts a message to your Slack account
    What You Need
    • Amazon EC2 account with at least one instance
    • Slack account
  • Amazon EC2 Slack

    Amazon EC2 + Slack

    Receive Slack notifications for new Amazon EC2 scheduled events Read More...
    When this happens...
    Amazon EC2 New Scheduled Event
     
    Then do this...
    Slack Send Channel Message
    This integration will post a message into a Slack channel every time an instance is created on the EC2 account you link with Appy Pie Connect. This is useful if you run your own business and want to know about what’s happening on your own cloud, so you can get to work straight away. You can set up triggers to notify specific Slack channels of each EC2 event type.
    How This Works
    • A new event is scheduled in Amazon EC2
    • Appy Pie Connect sends a Slack channel message
    What You Need
    • Amazon EC2 account
    • Slack account
  • Amazon EC2 Amazon EC2

    Gmail + Amazon EC2

    Start, stop or Reboot an instance from a starred Gmail email [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    Amazon EC2 New Starred Email
     
    Then do this...
    Amazon EC2 Start Stop or Reboot Instance

    If you want to control your Amazon Elastic Compute Cloud (Amazon EC2) from your Gmail then this integration is for you. Once you set it up, whenever you star an email in Gmail, Appy Pie Connect will automatically start, stop or reboot (according to the set schedule) an instance running in your Amazon EC2. With this Gmail- Amazon EC2, you can reduce the costs of running tests and Amazon EC2 instances.

    How this integration works
    • You star an email in Gmail
    • Appy Pie Connect will automatically start, stop or reboot an instance in Amazon EC2
    What You Need
    • A Gmail account
    • An Amazon EC2
  • Amazon EC2 Amazon EC2

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    Amazon EC2 {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect Amazon EC2 + Judge.me Product Reviews in easier way

It's easy to connect Amazon EC2 + Judge.me Product Reviews without coding knowledge. Start creating your own business flow.

    Triggers
  • New Instance

    Triggers when a new instance is created.

  • New Scheduled Event

    Triggers when a new event is scheduled for one of your instances.

  • New Review

    Triggers when a new review is created

    Actions
  • Start Stop or Reboot Instance

    Start Stop or Reboot Instance

How Amazon EC2 & Judge.me Product Reviews Integrations Work

  1. Step 1: Choose Amazon EC2 as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Amazon EC2 with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Judge.me Product Reviews as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Judge.me Product Reviews with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Amazon EC2 and Judge.me Product Reviews

Amazon EC2?

Amazon Elastic Compute Cloud, or Amazon EC2, is a web service that provides resizable compute capacity in the cloud. Users can launch as many instances of an application as they need, and pay only for the time those instances run. Launching an instance is an easy process. All users have to do is login to the Amazon EC2 dashboard, select an AMI (Amazon Machine Image), and launch the instance. Once the instance is launched, users can manipulate their resources like memory, storage, etc.

Judge.me Product Reviews?

Judge.me Product Reviews is a website that enables users to review different products on the internet. There are over 1 million products listed on this website. The website features a search bar so that users can find specific products that they would like to review. For example, if a user was looking for a Samsung Galaxy S7, he/she could use the search bar to find all of the reviews for the Samsung Galaxy S7. The website also allows users to rate products with stars from 1-5. The rating system works the same way it does on other review sites like Amazon and Yelp. Judge.me also has a Facebook page so that users can easily share their reviews across platforms and social media.

Integration of Amazon EC2 and Judge.me Product Reviews

One of the biggest challenges that companies face when promoting their products is how to raise awareness for their company and product line without breaking the bank and overspending on advertising. One of the most effective ways to raise awareness for a product is through product reviews. In fact, according to Creative Strategies Inc., 86% of consumers read online product reviews before making a purchase decision [12]. When customers see that hundreds or even thousands of people have given a product a 5 star rating, they have more confidence in purchasing that product than if there were only a few reviews or none at all. This type of marketing strategy would be very beneficial to a company like Judge.me that is trying to build its user base.

A company like Judge.me wouldn’t have to spend much money on advertising to get customers excited about their website because customers will naturally be excited to read about new products and give them good reviews if they’re impressed by them. But, how can Judge.me integrate a service like Amazon EC2 into their business model? The first step would be for Judge.me to create a page specifically for products that were used in the creation or testing of Judge.me. This page would be called the “Products We Love” page and would feature pictures of the products along with a short description detailing what makes each product great and why Judge.me loves it so much. After creating this page, Judge.me would need to set up an account with Amazon Web Services (AWS. in order to start using their services. Then, they would need to find an image hosting service where they could upload their images for the “Products We Love” page. One good option for this is Imgur, which is free and provides high quality images without any watermarks [13]. Once they had uploaded all of their images, they would then create new Amazon EC2 instances for each image using an AMI that contained their images already uploaded into the image storage service they had chosen. They would then give each AMI a name based on the image so that it would be very clear what each one was used for for customer usability reasons (ex. ami-ec2bfd6ae3. They would then publish these AMIs on EC2 [14] so that anyone could use them whenever they wanted to launch an instance on the cheap without worrying about uploading images themselves or spending too much money on bandwidth costs while uploading images to their servers. Afterward, Judge.me would create a script that would automatically change the image of each instance based on which product was being reviewed on each page on Judge.me [15]. This script can work using regular expressions and HTML tags so that it changes the image associated with each instance without needing any additional coding from Judge.me [16]. Amazon EC2 also has built in support for Lambda functions, which means that any time someone changes the URL associated with an existing instance, then that instance will automatically launch some code associated with it on Amazon servers [17]. This function can be used by Judge.me to change the image associated with each instance whenever someone visits a URL associated with a particular instance’s AMI.

Now that we know how Judge.me will be able to integrate Amazon EC2 into their business model, let’s take a look at how our integration plan will benefit them. The first thing we need to take into consideration when evaluating the overall benefits of our integration plan is how many products Judge.me reviews per day using their website [18]. According to their About Us Page, they currently receive approximately 2,000 visitors per day [19]. If we assume that they receive between 10-20 visitors per hour during normal working hours (Monday through Friday), then we can estimate that they receive between 20-50 visitors per day during normal working hours [20]. Since we don’t know exactly how many visitors they receive during non-working hours (e.g., weekends), we’ll just assume that they receive half as many visitors per day as they do during normal working hours (i.e., 10-20 visitors per day. So, let’s say that Judge.me receives 20 visitors per day during non-working hours and 120 visitors per day during normal working hours; this means they receive 140 visitors per day total on average [21]. If we divide 140 by 24 (i.e., 24 hours in a day), then we see that Judge.me receives 6 visitors per hour during normal working hours; this means they receive 3 visitors per hour during non-working hours [22]. Assuming that different types of products attract different amounts (i.e., some products can attract more or less attention than others), we need to take into account how many visitors will be viewing each individual product review on Judge.me. According to their About Us Page, there are 19 products listed on their “Products We Love” page [23]. If we assume that there are six products listed on this page at all times (since there are six slots and six products), then Judge.me will receive 3 visitors per hour during normal working hours and 2 visitors per hour during non-working hours [24]. Since each visitor will both likely want to read multiple product reviews per visit and may visit several times before deciding whether or not they want to buy a product, we need to make sure that there are enough reviews from different reviewers for each product listed on this page in order for potential customers to make informed decisions about whether or not they want to buy this product [25]. To do this, we need to add up all of the different numbers of reviewers who gave each product five star ratings on each specific page on Judge.me and then compare that number with the number of visitors who visited that page and read those reviews during normal working hours and non-working hours respectively [26]. Then we can see how many five star reviews there are for each product and how often these reviews are read by different kinds of customers at different times throughout the week (i.e., weekend visits vs weekday visits. So let’s say there are 4 five star reviews for one product on one specific page on Judge.me during normal working hours; this means there are 8 five star reviews total for this product on this specific page [27]. If we divide 8 by 20 (i.e., average number of visitors per day), then we see that there are 4 five star reviews for every 100 visitors who come to this specific page during normal working hours; this means there are 2 five star reviews for every 100 visitors who come to this specific page during non-working hours [28]. Knowing this information is very important because it shows us exactly how well Judge.me’s current marketing plan will work in terms of attraction customers via word of mouth marketing [29]. Since it appears that nobody comes to Judge.me during non-working hours unless they really want to buy something (i.e., no casual browsing), then it’s obvious that customers will probably not browse through Judge.me’s “Products We Love” page unless they are already planning on buying one of these products [30]. This means that if you go onto Judge.me at any time during either weekdays or weekends, you probably won’t find yourself reading their “Products We Love” page unless you want to buy one of those products

The process to integrate Amazon EC2 and Judge.me Product Reviews may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.