Gathering and analyzing customer feedback from AppSumo product reviews is a crucial task, but it can also be time-consuming and tedious. That's where this automation comes in handy. It automates the process by retrieving comments from the currently opened AppSumo product reviews page, conducting sentiment analysis, and storing the information in a Coda table.
Say goodbye to manually sorting through comments and trying to make sense of customer sentiments. With this automation, you can effortlessly gain insights into how customers perceive your product. Identify positive feedback that highlights your strengths and pinpoint areas where improvements are needed.
Whether you're a product manager aiming to enhance your offering, a marketer tracking brand sentiment, or an entrepreneur seeking actionable insights, this automation simplifies your workflow. Spend less time on data collection and more time on leveraging customer feedback to drive meaningful changes.
Let’s set it up!
The first step is to create a Coda table with the review information you would like to save.
Bardeen will extract information from the currently opened AppSumo reviews page and get profile information like username, profile image, review, date, member since information and votes. It will also get a sentiment analysis of the review using OpenAI. All of this information will be saved to your Coda table once the setup is complete.
You will be redirected to install the browser extension when you run it for the first time. Bardeen will also prompt you to integrate Coda.
Click the “Pin it” button at the top of this page to get this automation saved to your Playbooks. If it’s your first time using Bardeen, you will be redirected to install the extension.
Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and click on the playbook card. The setup flow will start.
You will be asked to specify a Coda table and the maximum number of reviews you would like to extract from the AppSumo reviews page. After you choose the database and number of reviews, you will get a prompt to map the information to the fields in Coda.
The left side consists of all the fields Bardeen will scrape for you. On the right side, specify the fields in Coda that you want to associate with the information on the left. If you don’t want a piece of information, leave that field empty, and it will be skipped. That’s it!
Click on “Save Input” and checkmark Coda and the maximum number of reviews. This will save you time form setup in the future. You can edit Inputs later by hovering over the playbook.
When you want to get reviews with sentiment analysis for an AppSumo product, navigate to the product’s review page.
Activate Bardeen (or hit Option + B on Mac or ALT + B on PC on your keyboard) and run this playbook. It will get the specified number of reviews, run a sentiment analysis for each review and save the results to the database you created in Step #1.
This automation is fantastic if you are a product manager. By automatically gathering and analyzing customer comments and sentiments from AppSumo product reviews, it enables product managers to identify areas for improvement. You can gain valuable insights into what features users appreciate and what aspects need enhancement. This data-driven approach helps prioritize product updates and drive meaningful changes to meet customer needs effectively.
Marketers can also leverage this automation to track brand perception and monitor customer sentiments. By analyzing the sentiment of comments from AppSumo product reviews, they can gauge the overall satisfaction level of customers and identify any negative sentiments that need to be addressed. This information empowers marketers to shape their brand messaging, improve customer experience, and build a positive reputation in the market.
Entrepreneurs can utilize this automation to make informed decisions based on customer feedback too. By aggregating sentiment analysis results in a centralized Coda table, they can easily analyze trends and patterns. This allows entrepreneurs to identify key insights, make data-driven decisions, and align their business strategies with customer preferences, ultimately enhancing their product or service offerings.
You can also edit the playbook and add your next action to further customize the automation.
This playbook saves me 60-90 minutes that I'd spend copy-pasting 20 new jobs details from LinkedIn daily - now it only takes me 5 minutes. Gamechanger!