Streamline Your Customer Review Analysis With MarkovML’s No-code AI Workflows

Acting on customer reviews is the key to effective decision-making. From gauging whether your product is a good market fit to performing sentiment analysis, reviews are critical indicators of your product’s market perception and deemed value.

However, teams often struggle to analyze customer reviews. You may not have the right tools, qualified people, or enough time to dedicate to this critical but often tedious task.

Well, we’re here to help.

With MarkovML, you can collate and analyze your customer reviews and gain valuable insights from them. MarkovML’s easy-to-use, no-code AI workflow helps you transform your customer review data into actionable insights.

We have a template specifically designed for GTM teams to analyze customer feedback and reviews.

Challenges of Analyzing Customer Reviews

Customer review analysis can be applied to several scenarios, including website ratings, product reviews on Amazon or Shopify, app reviews on the Play Store, store reviews on Yelp, and more.

Let’s say that you have collected customer reviews on your app. This could be from sources like Google Play Store, App Store, and ProductHunt. Such platforms allow you to export the collected reviews into a downloadable file, usually a CSV.

But once you have extracted all these reviews, going through each one to infer sentiments or insights can be quite taxing. Based on the volume of data, this task can also eat into precious work hours, which could have otherwise been utilized for more productive tasks.

Also, manual analysis can be affected by personal bias. Analysts may tend to focus on topics that are more important to them while ignoring other key issues. These cognitive biases while analyzing customer responses can influence your decision-making.

Additionally, smaller, early-stage teams might not hire the right personnel for the job, and the task is often handed to others in the team.

This also applies to the usage of automation or AI tools. While such tools are built to do these specific tasks, people often have a hard time getting accustomed to their use. Not only does this affect the quality of analyses, but it also adds a learning hurdle to getting started.

Finally, the main goal of analyzing customer reviews is to gather useful and actionable information that can help your company. However, even after analyzing the reviews, organizing the information in a cohesive and easy-to-understand manner can be challenging.

Overwhelmed by these issues?

Fret not, MarkovML's AI workflows take care of all these and more!

The MarkovML Platform

Here’s How MarkovML’s ‘Analyze Customer Feedback + Reviews’ Workflow Works:

1. Log in to the MarkovML platform and click here to get started with the ‘Analyze Customer Feedback & Reviews’ workflow template.

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2. The template loads a pre-set flow of actions on sample data. Customize the input to fit your needs.some text

2.1 Replace the ‘Use Samples Data’ block with ‘Add a File’ (from the Input tab in the left panel) and upload your reviews file.

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2.2 Connect the new input block to the ‘Filter Columns’ block.

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2.3 Edit the column names within each subsequent block based on your input data.

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3. And you’re ready! Once your workflow is error-free, just ‘Run’ it and let the magic happen. You’ll be notified via email as soon as the execution is complete.

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To configure your analysis for multiple data sources, tweak the workflow in the ‘Workflow Builder’ as follows:

• From the left panel, select the desired input block and import your second data source.
• Use appropriate table operations (JOINs, filters, etc.) to combine the data sources.

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• Configure the remaining blocks accordingly, and run the workflow.

You can also schedule your workflow for future runs.

a. Click on ‘Schedule’.

b. Schedule your workflow for the desired timeframe and frequency.

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Turn Your Insights Into Actions

Now that the workflow has analyzed the reviews and gathered sentiments and common topics, what’s next?

Of course, you’d want to make the most of your analysis, i.e., use the insights for purposes like refining messaging for better product-market fit, changing your marketing messages, or more. And MarkovML can help you here too!
After the workflow has been successfully run, you can download the results as a CSV.

As you can see, the result table has been enhanced to include the Sentiment, Topics Discussed, and Topic Explanations for each row. This helps with further analysis of your reviews.

With MarkovML’s Data Insights, you can now chat with your data.

• Visit Data Insights to get started.
• Click on ‘Add Data Source’ and upload your file.

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• And that’s it! You can now seamlessly chat with your data, ask questions to refine your data, and get the right information without the hassle of staring at spreadsheets and running more queries.

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• For the more technically-inclined folks, this tool also allows you to directly write SQL queries or convert text to SQL queries.

Smoothen Your Feedback Analysis Activities Today!

Customer reviews can provide you with a wealth of information that can help redefine your company's goals. But without the right insights, it's tough to make the most of this wealth.

At MarkovML, no task is too tough when you have the right tools at hand. By leveraging our AI-driven workflows, your team can handle large volumes of data from multiple sources without the need for specialized personnel or extensive training.

With MarkovML's no-code AI workflows, transform your customer feedback into actionable insights and make your data work for you.