Plotly VS Intercom
Compare Plotly VS Intercom and see what are their differences
Create in-app experiences with the most straightforward product adoption platform — quick implementation, lasting
user engagement.
featured
Plotly
D3.js
Chart.js
RAWGraphs
Highcharts
Google Charts
Tableau
Microsoft Power BI
Intercom
Zendesk
Freshdesk
Drift
LiveChat
LiveAgent
tawk.to
Crisp Chat
Plotly IntercomPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Intercom is recommended for businesses of all sizes that wish to enhance their customer service and communication strategies. It is particularly beneficial for companies that want to offer personalized customer interactions through messaging, automate customer support processes, and gain insights from customer interactions. It's suitable for SaaS businesses, e-commerce platforms, and tech startups that prioritize customer experience.
Intercom provides a lot of value to us. From live chat to email marketing and even helping us to create support documentation, Intercom handles a lot of key moving parts that are essential to keeping customers happy.
Based on our record, Plotly should be more popular than Intercom. It has been mentiond 33 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.
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / 2 months ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
Intercom: Famous for its conversational marketing focus, Intercom’s live chat widget offers features like proactive messaging and lead qualification. It also supports deep personalization for enhanced customer engagement. - Source: dev.to / 7 months ago
Use chatbots to automate customer service: Chatbots use natural language processing to communicate with customers and answer their questions. By integrating chatbots into your affiliate marketing strategy, you can automate customer service and increase engagement with potential customers. This can lead to more sales and higher commissions. (Crisp, Intercom). Source: over 2 years ago
I am trying to create an application that will work on a customer's website. Much like tawk.to or intercom.com. Source: almost 3 years ago
My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 3 years ago
I wanted to know the best practices of developing a widget. So I went through the popular implementations of it. I liked Intercom's widget very much. It is written in React. I analyzed how it works. The minimal javascript is loaded async on the webpage. It is injecting an iframe with id intercom-frame. That iframe has a script in it's head with a source URl. Obviously it is React bundle. Source: about 3 years ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Drift - A messaging app that helps you grow your business.