The number of no-code analytics tools available for SaaS product teams increases steadily year after year.
That’s one of the questions we answer in the article.
We further explore the main benefits of no-code analytics, the data types you can track without writing code, and look at a few no-code analytics tools that can help you make data-driven product decisions.
- No-code analytics enable product teams and business users with limited coding skills and technical know-how to collect and analyze data.
- They reduce your dependence on data analysts and lower technical barriers. As a result, anyone from your product team could perform most of the tasks of a data scientist.
- No-code analytics requires less time and effort. This makes it cheaper and gives teams quick access to actionable insights they can use to add value to the product and enhance the product experience.
- No-code analytics tools allow you to track and analyze all aspects of user behavior.
- Tracking user engagement for individual features as well as custom events is a breeze thanks to code-free tagging.
- No-code analytics allow teams to track the paths users take inside the product and build funnels. You can use the data for predictive analytics and to optimize the customer journey.
- Setting goals and tracking their completion for milestone analysis is another area where no-code analytics shines.
- No-code analytics tools are great at extracting insights from quantitative feedback. By integrating natural language processing (NLP) and machine learning (ML) models, they’re also getting increasingly better at analyzing qualitative responses.
- Your no-code analytics platform should have an intuitive visual interface with drag-and-drop functionality, no-code event tracking, customizable dashboards, and user segmentation functionality.
- Userpilot enables you to monitor feature engagement, create custom events, track goals, and analyze user feedback without writing a single line of code. To see how it works, book the demo.
What is no-code analytics?
No-code analytics is an approach to data analysis that enables non-technical teams to collect, analyze, and visualize data without the need for coding or programming knowledge.
Why use no-code tools for analyzing product data?
First, they democratize data science for non-technical users. This is because the learning curve is much flatter when compared to programming languages and advanced analytics models.
What’s more, no-code tools give you quicker insights into customer behavior. Since there’s no need to write complex code, you can get the information you need in less time and at a fraction of the cost.
What can you track using no-code analytics tools?
Modern no-code analytics tools allow you to gather and analyze data on all aspects of user behavior inside the product.
Product and feature engagement analysis
No-code analytics tools are great for tracking product and feature engagement.
Traditionally, you’d need to inject code and attach it to all the elements you’d want to track.
Now, all you need to do is tag the product features you want to track inside the product and the app does the work for you.
This is not limited to individual user interactions. Many tools allow you to combine them into custom events and track them as one event.
Customer journey and funnel analysis
In this way, you can easily track how many users complete each step of the process, how long it takes them, and how many drop off. Thanks to no-code machine learning, you can use the data to identify trends in user behavior and make predictions.
Milestone analysis is often conducted together with funnel analysis. While the latter focuses on a sequence of events leading up to a goal, the focus of milestone analysis is solely on those goals.
Goals are the key events that users need to complete to realize the product value. For example, for a social media scheduler tool, this could be scheduling the first post.
User feedback analysis
No-code analytics tools are also great for collecting and analyzing customer feedback.
Let’s look at NPS surveys as an example.
Many tools do the quantitative analysis of the scores for you. They calculate the total score, provide you with a breakdown into detractors, passives, and promoters, and plot historical data for easy trend tracking.
What’s more, analytics tools are getting better and better at analyzing qualitative responses.
Thanks to natural language processing and machine learning models, modern tools can analyze, group, and quantify qualitative responses, and identify trends.
Must-have features of a good no-code platform
What boxes should a no-code analytics tool tick to allow you to analyze data effectively, share the results and make informed product decisions?
Let’s have a look at a few must-have features.
- Drag and drop capabilities: an intuitive user interface that allows you to easily create funnels and set goals is essential for streamlining your workflows.
- Segmentation: being able to segment users based on their in-app behavior, survey responses, and demographics is essential to gain meaningful and actionable insights. That’s because what is true for one type of user may not apply to others, and what’s true for the ‘average product user’, may not be true for a specific segment or cohort.
- No-code event tracking: being able to tag events, create custom events, and analyze their occurrence from the front end.
- Dashboards: customizable dashboards give you access to all the key data in one place.
The best no-code analytics tools of 2023
There are plenty of no-code analytics tools out there at the moment. Let’s look at a few options that will allow you to collect and analyze most kinds of product data without writing a single line of code.
Key Userpilot analytics features include:
- Advanced user segmentation
- Code-free event tracking (including custom events)
- Feature usage tracking (you can easily track clicks, text inputs, and hovers from its Chrome extension)
- Heatmaps (for easy visualization of user engagement patterns)
- Goal tracking for milestone analysis
- Real-time data display
- Resource center and checklist analytics
- Funnel analysis and paths
- Integrations with advanced analytics tools like Amplitude, Mixpanel, and Heap for easy analysis of the data from different platforms
What makes Userpilot superior to other similar no-code tools is that you can act on your insights. Userpilot relays product usage data in real-time so that you can use it to trigger in-app messages and surveys.
There are three Userpilot pricing plans.
The lowest plan starts at $249 and offers access to most of the analytics features above apart from event-based content triggering. To get access to this feature, you will need either the Growth or Enterprise plan, both of which come with custom pricing and usage limits.
To see if Userpilot works for you, why not book a demo?
Hotjar is a no-code analytics and feedback platform that will help you understand how users interact with your product and optimize UI.
The tool is best known for its heatmap and session recording functionality. They enable detailed tracking and analysis of user interaction with your product.
Apart from these, Hotjar offers:
- User segmentation
- Automatic data capture for code-free data collection
- Custom event tracking
- Funnel analytics tool
- User behavior pattern visualization with Trends
- A comprehensive dashboard
The free Hotjar plan gives you access to unlimited heatmaps and 35 daily session recordings, which is very generous and may as well satisfy all the needs of small SaaS startups.
To use the more advanced features, you need to upgrade to one of their paid plans:
- Plus, from $32/month
- Business, from $80/month
- Scale, from $171/month
Unlike Google’s Universal Analytics, which was exclusively for website tracking, Google Analytics 4 can track in-app events too. This makes it a robust product analytics solution.
What features does Google Analytics support?
- Real-time activity tracking
- Code-free event tracking with Google Tag Manager
- Event filtering by category, action, and label
- Audience reports — data on your website visitors, including demographics
- Acquisition reports — breakdown of acquisition channels, for example, organic, direct, referral, etc.
- Behavior reports — insights into visitor interactions with your product (e.g., pageviews or events)
- Goal/Conversion tracking
- Custom dashboards
Google Analytics pricing
GA is free to use, which is why it’s been the analytics tool of choice for marketing teams for a while.
There is also a paid plan, though. Analytics 360 costs $12,500 a month and gives you access to features such as attribution modeling.
No-code analytics tools are game changers. They reduce the dependence of product teams on data scientists and enable them to track, analyze and share product data quickly and efficiently. Thanks to that, they can make timely data-driven decisions.
If you would like to see how Userpilot can help you to collect and analyze your product data without writing code, book the demo!