AI has revolutionized the way analysts create reports and analyze data.
AI-enabled processes have allowed analysts to quickly generate insights from large datasets, identify trends, and guide decision-making. AI is even able to identify patterns that would otherwise have been overlooked.
AI has also made it much easier for analysts to generate visualizations to present data in intuitive ways, allowing for decisions to be made more quickly and efficiently. AI can also be used to automatically update reports and analytics on an ongoing basis, providing the most up-to-date information. All of these capabilities have made it much easier for analysts to create meaningful reports and analytics that provide actionable insights for their organization.
In this section, I’m going to walk you through some example prompts that can be used to develop insightful reports, summaries and insights from data within the matter of minutes.
Let’s get to it…
PROMPT 1: [ATTACH A PDF] —> My colleague provided this report. Please write a one page summary outlining how we're doing.
https://www.loom.com/share/9866541b2d8a46b8bf865c8f80906b40?sid=4c6439fb-08dd-45ab-b32c-18e7deb76aa3
PROMPT 2: [ATTACH KEYWORD LIST FROM VID IQ] —> I’ve uploaded a list of relevant search terms from VidIQ which show the current search volumes for keywords on YouTube associated with ChatGPT. Please use this list based on the data found in the spreadsheet attached to make a recommendation of 10 videos that we should develop.
https://www.loom.com/share/5ad341fb1ec14e999f94f9eb69faf5d0?sid=dfa73bac-8773-4efd-9296-c1c245148acf
PROMPT 3: Our marketing leadership just shared these marketing metrics with the entire organization. Can you summarize for me what all of this information means and share a high level report summarizing some key takeaways and areas worth noting?
PROMPT 4: Analyze the web traffic data for our website for the past [TIME PERIOD]. Identify the top sources of traffic, the most visited pages, and user engagement metrics like average time on site and bounce rate. Provide SEO recommendations and content strategies to improve organic traffic and user engagement.
https://www.loom.com/share/6b904cd5ddfd4e058cf9702a696c3a93?sid=3f9b6053-7eb6-40a4-b6ec-b4552377272d
PROMPT 5: Review the metrics from our latest email marketing campaigns. Evaluate open rates, click-through rates, conversion rates, and unsubscribe rates. Compare these against industry averages and provide insights into the effectiveness of different email content, subject lines, and send times.
PROMPT 6: Analyze the sentiment of social media mentions regarding our brand and [SPECIFIC PRODUCT/SERVICE] over the last [TIME PERIOD]. Determine the overall sentiment (positive, negative, neutral) and highlight any significant shifts in public perception. Suggest marketing strategies to enhance positive engagement and address any negative trends.
https://www.loom.com/share/66a9c0836d32444db9612aeb1b7799a9?sid=1553ec2c-23b1-4c63-8213-955d5893380b
PROMPT 7: Interpret the sales data from the last quarter for [PRODUCT LINE/SERVICE]. Identify patterns in sales performance across different regions, customer segments, and sales channels. Provide insights into what these patterns may indicate about market preferences and suggest actions for sales optimization.
PROMPT 8: Conduct a competitive analysis of [SPECIFIC COMPETITOR] in the [INDUSTRY] market. Compare their product offerings, pricing, marketing strategies, and online presence with ours. Identify areas where they excel and where there are gaps, offering insights on how we can improve our competitive positioning.
PROMPT 9: Examine the performance data of our recent marketing campaign for [PRODUCT/SERVICE]. Compare the results against the set KPIs and benchmarks. Analyze which channels and tactics were most effective, and provide recommendations for optimizing future campaigns.