Hotjar's product experience insights make it easy to understand what users are really doing on your site.
Visualize behavior on your site with Heatmaps
Eliminate guesswork with user Recordings
Understand the reasons behind behavior with Surveys and Incoming Feedback
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Hotjar has been our go-to for optimizing UI, reducing bounce rates, and refining CTAs. Its powerful insights have been instrumental in enhancing user experience. A staple tool for data-driven decisions!
I don't like the service. It is very slow and very expensive. Not recommended it to others.
Don't work the heatmap and I did not like others.
Based on our record, Plotly should be more popular than Hotjar. It has been mentiond 30 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hotjar — Website Analytics and Reports . Free Plan allows 2000 pageviews/day. One hundred snapshots/day (max capacity: 300). Three snapshot heatmaps can be stored for 365 days. Unlimited Team Members. - Source: dev.to / 5 months ago
So you can use heatmapping software such as Crazy Egg and Hotjar to see how your end users use your website. Source: 8 months ago
If you have installed a heat map like hotjar.com then I will tell you that I used that for a month and found 5 or so dead ends where users were not getting to the cart or clicking on things that where not informative enough to lead to the next action. Source: about 1 year ago
Install hotjar.com - it's free. It's a heatmap that tracks how people navigate around your site. Why this matters? You can see where people drop off on your site (specifically, what content they see/don't see). Then, you can make informed decisions on what content is landing and what needs to change. Source: over 1 year ago
Sign up for hotjar.com They record your user's screen as they use the website. It's really useful and gives you qualitative feedback. Source: almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 16 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago
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