Provide a month by month summary of Conversions gained through Google Ads last Year, you can use the "Month" time dimension
Here is a month-by-month summary of Conversions gained through Google Ads last year:
The key insights from this data are:
Overall, the Conversions performance through Google Ads last year was quite variable month-to-month, with a very strong December but weaker performance in other months like February. Further analysis would be needed to understand the drivers behind these monthly fluctuations.
now lets transform the data to have the conversions as a percentage.
Okay, here is the data transformed to show the Conversions as a percentage of the total:
The key insights from this percentage breakdown are:
This shows that the Conversions performance was heavily skewed towards the end of the year, with December being the standout month. Understanding the drivers behind this seasonality could help optimize the Google Ads strategy going forward.
can you fill in or interpolate teh conversions for the missing months
Okay, here is the Google Ads Conversions data with the missing months filled in:
The key insights with the missing months filled in:
This provides a more complete picture of the monthly Conversions performance through Google Ads last year. The data shows significant variability, with a heavy concentration in the latter half of the year. Understanding the drivers behind these monthly fluctuations could help optimize the Google Ads strategy going forward.
now give me total spend on facebook ads and gogole ads last year combined.
Okay, let's summarize the total spend on Facebook Ads and Google Ads last year:
Facebook Ads Spend in 2023: £3,911.50[0] Google Ads Spend in 2023: £7,419.40[0]
Total Spend across Facebook Ads and Google Ads in 2023: £3,911.50[0] + £7,419.40[0] = £11,330.90
So the total combined spend on Facebook Ads and Google Ads last year was £11,330.90.
The key insights are:
Overall, the combined Facebook Ads and Google Ads spend last year was £11,330.90, with Google Ads being the larger contributor. Analyzing the trends and drivers behind this data could help optimize the marketing mix going forward.
now lets transform the total data into one table with facebook ads spend, google ads spent, the total spend, and each spend as a percentage of the total, each in a distinct column
Okay, here is the data transformed into a single table with the Facebook Ads spend, Google Ads spend, total spend, and each spend as a percentage of the total:
The key insights from this consolidated data are:
Analyzing the breakdown of spend between the two channels could help inform future marketing strategy and budget allocation decisions. The significant decrease in spend compared to the previous year also warrants further investigation into the underlying reasons.
now lets forecast the data for 2024 and 2025 in two new columns
Okay, let's add forecasts for the Facebook Ads and Google Ads spend in 2024 and 2025.
Here is the data with the 2024 and 2025 forecasts added:
The key insights with the forecasts:
Of course, these are just forecasts based on the historical data. Actual performance in 2024 and 2025 may differ based on various market factors, changes in strategy, and other variables. Ongoing monitoring and adjustment of the forecasts will be important to ensure they remain accurate and aligned with business objectives.
Give me the pages with the highest average session duration on Google Analytics 4
Okay, let's take a look at the pages with the highest average session duration on Google Analytics 4.
Here are the top pages by average session duration:
The key insights from this data are:
Understanding what is driving this high engagement on the chat pages could provide valuable insights to optimize the user experience and potentially increase conversions or other key metrics. Further analysis of user behavior and content on these high-performing pages would be recommended.
now run data analysis to give me the average session duration in a more readable format like for example 1m34s
Okay, here is the data on the pages with the highest average session duration on Google Analytics 4, presented in a more readable format:
The key insights are:
This suggests that users are highly engaged with the chat functionality and are spending a significant amount of time on those pages. Understanding the drivers behind this engagement could provide valuable insights to optimize the user experience and potentially increase conversions or other key metrics.
can you give me a pagespeed report on the avian.io pricing page?