Pudding.ai
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Chart.js
Pudding.ai is a real-time ad creative analysis solution that helps marketers understand their ad creative performance. It answers 3 main questions: What creative works? Why? How to improve it?
With Pudding.ai you can easily:
ยท View the performance of your ad creatives in real-time
ยท See which creative elements help or hurt your KPIs
ยท Get actionable insights for future campaigns
ยท Easily share data with everyone in your team
The AI analyses images, videos, and copy elements providing actionable insights for future campaigns. With Pudding, it becomes possible to understand what elements of the creatives work, which donโt, why, and which ads are in fatigue.
Today, itโs supporting Facebook, Instagram, Google, YouTube, Pinterest and TikTok ads allowing a complete ad creative data overview in one place. In addition, this aids in seamless communication between media and creative teams, closing the feedback loop and increasing overall productivity.
โ FREE DEAL: monthly creative performance report for Facebook ads!
Pudding.ai
PlotlyPlotly 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.
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Based on our record, Plotly seems to be a lot more popular than Pudding.ai. While we know about 34 links to Plotly, we've tracked only 3 mentions of Pudding.ai. 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.
Try this creative audit. It's free and sends you creative analysis reports once a month. Source: over 4 years ago
Do they do ad creative performance reporting? It looks quite different from pudding.ai from what I see. Source: over 5 years ago
Dashthis does this as well, it might be a poor mans pudding.ai. Source: over 5 years ago
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 / 4 months ago
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
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
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 / over 1 year 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 / about 2 years ago
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