What can the agent do?👇
1. Edit reports
2. Insert new content and charts into reports
3. Analyse and compare multiple company reports
4. Analyse ads and reviews
5. Use tools like google trends and ad words planner
With this in mind, here's a few examples of what you can do with the agent.
1️⃣ Run competitor comparisons by ad channel
Example prompt: I'd like you to compare the Google Ads of company A, to companies B and C. The tell me what changes Company A needs to make to outperform B and C.
2️⃣ See which stages of the funnel an ad channel prioritises
Example prompt: I want you to analyse each LinkedIn ad and determine which stage of the funnel it is targeting. Then calculate the percentage of ads allocated to each funnel stage, create a pie chart and analyse the impact on performance.
3️⃣ Create a frequency chart of customer pain points at market scale
Example prompt: I want you to analyse the pain points of Company A, B and C's customers. Select 10 pre-purchase pain points (problems customer struggled with before finding the solution) that accurately represent the challenges their customers face and make sure to use the customers voice (do not make up new language). Review each customer review on each company and cluster related pain points under the 10 representative pain points. Finally use this data to count the frequency with which the representative themes occur and create a bar chart with the results.
4️⃣ Find and rank the volume of new search terms by analysing customers
Example prompt: I want you to analyse the top 5 pain points identified in customer reviews. Then convert each pain point into a logical search term that a customer would use when trying to find a solution to the pain point. List the search terms for me to review and if I approve, look up the search ad words data for each term and present me with a line graph.
5️⃣ Check if a websites value propositions are aligned with customers (2 steps - frequency first then
Step 1.
Example prompt: I want you to analyse the pain points of Company A, B and C's customers. Select 10 pre-purchase pain points (problems customer struggled with before finding the solution) that accurately represent the challenges their customers face and make sure to use the customers voice (do not make up new language). Review each customer review on each company and cluster related pain points under the 10 representative pain points. Finally use this data to count the frequency with which the representative themes occur and create a bar chart with the results.
Step 2.
6️⃣ Update the Key results section to a CMO level of thinking