How To Analyze Your Analytics Metrics with OpenAI? - BoostRoas | BoostRoas

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Hello everyone,

In today’s digital age, understanding the data generated by your website is crucial for making informed decisions and optimizing its performance. Combining the power of Google Analytics metrics with OpenAI’s advanced analytics capabilities can unlock valuable insights and take your business to the next level.

Since Chatgpt came out, I have used it as my assistant. Writing python apps that make my life easier has become my hobby. Although I am not a software developer but a digital marketer, I feel I am employing a Jr. Software Developer.

Since Chatgpt came out, what have I made?

  • I automated my reports.
  • Create automated social media bots.
  • I made a tool that extracts content from one keyword.
  • Etc…

Analyze Google Analytics Metrics With OpenAI

Chatgpt has made my life easier and continues to make it easier. Now let’s get to the main topic, how to analyze your Google Analytics metrics using the OpenAI API; let’s take a look together:

I gave this prompt to ChatGPT, and it gave me the code on the screen as output:

Analytics Metrics With OpenAI

Analytics Metrics With OpenAI

As I ran the codes it gave and asked ChatGPT about the errors I got, we got the working code:

import openai_secret_manager
import openai
import pandas as pd
# Set up the OpenAI API key
openai.api_key = "your api key"
# Load the Google Analytics metrics .csv document into a DataFrame
df = pd.read_csv("google_analytics_metrics.csv")
# Define the analysis prompt
prompt = """
Please analyze the Google Analytics metrics in the following table and provide insights and recommendations based on the data and look only 4097 token content length in data :
{data}
Analysis:
"""
# Replace the {data} placeholder in the analysis prompt with the actual data from the DataFrame
data_str = df.to_string(index=False)
prompt = prompt.format(data=data_str)
# Call OpenAI's machine learning API to generate the analysis
response = openai.Completion.create(
engine="text-davinci-002",
prompt=prompt,
max_tokens=2048,
n=1,
stop=None,
temperature=0.5,
)
# Extract the analysis from the response
analysis = response.choices[0].text.strip()
# Store the analysis in a new DataFrame
analysis_df = pd.DataFrame({"Analysis": [analysis]})
# Write the analysis DataFrame to a CSV file called "analyze.csv"
analysis_df.to_csv("analyze.csv", index=False)
print("Analysis complete. Results written to analyze.csv.")

To enter the API key area, you must get an API key in the https://platform.openai.com/account/api-keys area. It offers free to use up to $ 18 usage.

Open AI API
I saved the Google Ads performance file I downloaded from the source medium area in Google Analytics as google_analytics_metrics.csv and ran the Python code:
Python OpenAI


And created the file named analyze; when we look at the file, we see that it examines and analyses metrics:

Analytics metrics with openAI

 

This way, you can have your Google analytics data or other data interpreted by artificial intelligence with Open AI API support.

Note: If you want to interpret long data, you can increase the number of max_token and temperature fields in the code. I solved a Google Analytics metric file with 20 lines. Sometimes you may need help with CSV files with long lines.

Suppose you don’t want to deal with all this. In that case, if you want to have my Google Analytics data automatically interpreted and grow my business with the insights that come out, you can quickly analyze your analytics data using Heybooster and get insights that will grow your business.

Thanks for reading.

 

All you need is an integrated solution of PPC, SEO and Analytics.

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How To Analyze Your Analytics Metrics with OpenAI?

Hello everyone, In today’s digital age, understanding the data generated by your website is crucial for making informed decisions and optimizing its performance. Combining the power of Google Analytics metrics with OpenAI’s advanced analytics capabilities can unlock valuable insights and take your business to the next level. Since Chatgpt came out, I have used it […]

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