Software Alternatives, Accelerators & Startups

AdRoll VS Plotly

Compare AdRoll VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

AdRoll logo AdRoll

AdRoll is a leader in retargeting display advertising. Draw the right people with the right strategies.

Plotly logo Plotly

Low-Code Data Apps
  • AdRoll Landing page
    Landing page //
    2018-10-09
  • Plotly Landing page
    Landing page //
    2023-07-31

AdRoll features and specs

  • Comprehensive Ad Solutions
    AdRoll provides a wide range of ad formats including display, social, and email, making it a one-stop-shop for comprehensive marketing strategies.
  • Retargeting Capabilities
    AdRoll is particularly strong in retargeting, enabling businesses to re-engage previous visitors with tailored ads that can lead to higher conversion rates.
  • Analytics and Reporting
    The platform offers robust analytics and reporting tools to track campaign performance, providing insights that can be used to optimize future campaigns.
  • Third-Party Integrations
    AdRoll integrates with a variety of third-party services including major e-commerce platforms and marketing tools, which can streamline marketing efforts.
  • User-Friendly Interface
    The interface is designed to be user-friendly, making it easier for businesses to set up and manage their ad campaigns without requiring advanced technical skills.

Possible disadvantages of AdRoll

  • Cost
    AdRoll can be expensive, particularly for small businesses with limited budgets, as costs can add up quickly based on campaign scale and duration.
  • Complex Pricing Model
    The pricing model can be complex and somewhat opaque, making it challenging for users to estimate their monthly expenses accurately.
  • Limited Customization
    While AdRoll offers various ad formats, some users might find the customization options for creative elements limited compared to other platforms.
  • Customer Support
    Though generally helpful, some users have reported delays and varying levels of effectiveness in customer support, which can be problematic when immediate assistance is needed.
  • Learning Curve
    For users new to digital marketing, there can be a steep learning curve to effectively use all of AdRoll’s features and capabilities.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of AdRoll

Overall verdict

  • AdRoll is generally seen as a good choice for businesses looking to enhance their online marketing efforts through targeted advertising and retargeting strategies. It offers a user-friendly interface and comprehensive support, making it accessible for both small businesses and larger enterprises.

Why this product is good

  • AdRoll is considered a reputable digital marketing platform providing services like programmatic advertising, retargeting, and personalized marketing. It is favored for its robust analytics, expansive display network, and ability to integrate with other marketing tools, helping businesses optimize their advertising strategies and reach their target audience effectively.

Recommended for

    AdRoll is particularly recommended for e-commerce businesses seeking to increase customer engagement and conversions, as well as digital marketing teams looking to streamline and optimize their advertising efforts across multiple platforms.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly 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.

AdRoll videos

AdRoll Review - Beginners Guide PREVIEW by Bizversity.com

More videos:

  • Demo - AdRoll Dashboard Demo
  • Review - Using Adroll to Retarget

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to AdRoll and Plotly)
Ad Networks
100 100%
0% 0
Data Visualization
0 0%
100% 100
Advertising
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AdRoll and Plotly

AdRoll Reviews

10 Alternatives To Google And Facebook Ads
AdRoll also offers other products outside of just retargeting. These include prospecting (programmatic display), email retargeting, and AdRoll Video Ads. AdRoll Video Ads are now available for both retargeting and prospecting campaigns and can be served in-stream and out-stream.
Source: www.ppchero.com
10 Alternatives To Google AdWords
AdRoll also offers other products outside of just retargeting. These include prospecting (programmatic display), email retargeting, and AdRoll Video Ads. AdRoll Video Ads are now available for both retargeting and prospecting campaigns and can be served in-stream and out-stream.
Source: www.ppchero.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

AdRoll mentions (0)

We have not tracked any mentions of AdRoll yet. Tracking of AdRoll recommendations started around Mar 2021.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • Python for Data Visualization: Best Tools and Practices
    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 / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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 / almost 2 years ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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 / about 2 years ago
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What are some alternatives?

When comparing AdRoll and Plotly, you can also consider the following products

Marin Software - Optimize your Search, Social & Display ads across channels and devices. Marin Software, the leading cross-channel performance advertising platform.

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.

Google Marketing Platform - Google's unified and improved marketing and analytics tools.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Kenshoo - Kenshoo provides marketing software and empower marketers with technology to build brands and generate demand across all media.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.