See AI Reporting in Action
Andy Crestidona, co-founder of Orbit Media Solutions, uses ChatGPT to analyze full-funnel campaign performance and predict future performance.
He downloads the latest reports from his email marketing platform and Google Analytics. Then, he adds this data to ChatGPT to combine the datasets and derive insights.
Here’s an example of how he instructs the tool to merge and organize the dataset.
Using AI to merge and organize a dataset
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He also uses ChatGPT to derive insights from this dataset and visualize it in different ways. For example, he asked the tool to create a chart demonstrating how different topics performed in the email marketing channel.
Using ChatGPT to derive insights from and visualize a dataset
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As a content marketer, I’ve focused heavily on using AI to build more efficient workflows.
However, I only recently discovered the power of austria whatsapp number database AI tools to measure performance and optimize content for stronger results.
I use AI tools to track metrics like engagement, bounce rate, and conversion rate.
This real-time data for content posted across different channels clarifies whether a topic is a hit or a miss. This way, I can enhance underperforming content or divert resources from one campaign to another.
I also rely on HubSpot’s SEO Marketing Software to optimize content. The tool analyzes the content on any website to provide real-time recommendations for improvement.
Each recommendation flags the number of pages affected by an error and offers a clear reason why this error matters. It also tells you the impact of each recommendation so you can prioritize high-impact tasks.
Use Case #2: Real-time insights for content optimization.
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