Picreel is an advanced and easy-to-use popup builder that helps businesses convert website visitors into customers. Its advanced targeting and segmentation capabilities allow users to create custom popups, including exit and mobile popups, using the intuitive drag-and-drop popup builder. Picreel is a powerful lead generation tool that aids businesses in getting quality leads through creative popups and achieving maximum results using A/B testing.
By capturing visitors' attention and driving them towards specific actions, businesses can boost their website's conversion rate and increase sales.
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Picreel offers a multitude of exemplary features in a supremely affordable price range that includes but is not limited to:
Simple & Easy Installation Advanced Targeting Desktop & Mobile Compatible Popups State-of-the-art Exit Intent Technology 100+ popup templates in multiple formats These are but a few of the benefits offered by Picreel’s popup maker. You can learn more about us with the free trial that we extend to all our users!
Based on our record, Plotly seems to be more popular. 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.
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 / 22 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
Proof - Website conversion rate optimization and visitor monitoring
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Chart.js - Easy, object oriented client side graphs for designers and developers.
GetSiteControl - Website popup builder & email marketing suite for ecommerce
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application