A platform that helps companies boost the efficiency of Facebook ad campaigns: decrease CAC, CPR, and get more conversions.
What’s inside:
Clients’ data marketplace is filled with the data provided by reliable data vendors and categorized by interests. Users can just pick categories they need and create any customized audience. To define these interests, Signum.AI uses the method of entity embedding and ensures differential privacy (all data is hashed).
GPT-powered content generation. The model was trained on the most effective campaigns so that it generates the high-converting texts for ad creatives (at the moment, that’s the Primary Text).
The ultimate functionality for Facebook ad campaigns automation. The team also plans to widen the integration capacities of the platform.
As a result, clients get micro-segmented audiences and personalized creatives, save time for running ad campaigns, increase conversions, decrease САС and boost sales.
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Based on our record, Jupyter seems to be a lot more popular than Signum Startup Tracker. While we know about 205 links to Jupyter, we've tracked only 1 mention of Signum Startup Tracker. 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.
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 12 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 23 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 18 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
Read signum.ai's blog posts on this problem (for example, https://signum.ai/blog/efficient-ad-campaigns-despite-apples-new-ios-15-whats-changed-how-to-cope-with-the-updated-data-privacy-rules/). I bet you will find the answers to your questions. Source: over 2 years ago
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