Chat Artifacts

    Provide a month by month summary of Conversions gained through Google Ads last Year, you can use the "Month" time dimension

    Avian
    • Google Ads
      2023-01-01 - 2023-12-31
      Accounts: *The New Triad - Kyle Dayne
      Fields: Month, Conversions

    Here is a month-by-month summary of Conversions gained through Google Ads last year:

    The key insights from this data are:

    • December had the highest number of Conversions with 93[0], which was a significant increase of 83 Conversions compared to the previous year.
    • February had the lowest number of Conversions with only 3[0], which was a large decrease of 34 Conversions compared to the previous year.
    • The months with the next highest Conversions were May with 24[0] and April with 18[0].
    • There were several months with similar Conversion numbers, including November and October both with 17[0] Conversions.
    • September had 11[0] Conversions, which was an increase compared to the previous year but the data for the previous year is incomplete so the percent change cannot be calculated.

    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.

    Avian
    • Data Source

    Okay, here is the data transformed to show the Conversions as a percentage of the total:

    The key insights from this percentage breakdown are:

    • December accounted for nearly half (48.19[0]%) of the total Conversions for the year.
    • May (12.44[0]%) and April (9.33[0]%) were the next highest months in terms of Conversions percentage.
    • The remaining months each contributed between 5-9% of the total Conversions.
    • February had the lowest percentage at just 1.55[0]% of the total Conversions.

    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

    Avian
    • Data Source

    Okay, here is the Google Ads Conversions data with the missing months filled in:

    The key insights with the missing months filled in:

    • December remained the standout month, accounting for 48.19[0]% of total Conversions.
    • May (12.44[0]%) and June (19.69%) were also high-performing months.
    • The remaining months contributed between 1.55[0]% (February) to 11.92% (July) of the total Conversions.
    • March, June, July, and August had Conversions ranging from 6 to 38, filling in the gaps in the original data.

    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.

    Avian
    • Facebook Ads
      2023-01-01 - 2023-12-31
      Accounts: SS
      Fields: Amount spent
    • Google Ads
      2023-01-01 - 2023-12-31
      Accounts: *The New Triad - Kyle Dayne
      Fields: Cost

    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:

    • Google Ads accounted for the majority of the total spend at £7,419.40[0], compared to £3,911.50[0] for Facebook Ads.
    • There was a significant decrease in spend compared to the previous year, with Facebook Ads down 56.57% and Google Ads down 59.39%.
    • Understanding the reasons behind this reduced spend, such as changes in marketing strategy or budget allocation, could provide valuable insights.

    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

    Avian
    • Data Source

    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:

    • The total combined spend across Facebook Ads and Google Ads last year was £11,330.90[0].
    • Google Ads accounted for the majority of the spend at £7,419.40[0], or 65.48[0]% of the total.
    • Facebook Ads spend was £3,911.50[0], or 34.52[0]% of the total.
    • This shows that Google Ads was the larger contributor to the overall marketing spend compared to Facebook Ads.

    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

    Avian
    • Data Source

    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:

    • The total spend is forecasted to increase to £12,463.99[0] in 2024 and £13,710.39[0] in 2025.
    • This represents a year-over-year increase of around 10% each year.
    • The relative split between Facebook Ads and Google Ads is expected to remain similar, with Google Ads continuing to account for the majority of the spend.
    • These forecasts suggest continued growth in the marketing budget and a sustained focus on both Facebook Ads and Google Ads as key channels.

    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

    Avian
    • Google Analytics 4
      2023-01-01 - 2023-12-31
      Accounts: Avian (GB) - Avian.io - GA4
      Fields: Page URL path, Average session duration

    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:

    • The pages with the highest average session duration are mostly related to the chat functionality, with several /chat/ URLs appearing in the top results.
    • There are also a few pages related to the analysts section of the site that have very high average session durations.
    • The top page, /chat/RkVwJOF3y0HUw-53RBK8v, has an exceptionally high average session duration of over 22,600 seconds (over 6 hours!).
    • This suggests that users are highly engaged with the chat functionality and are spending a significant amount of time on those pages.

    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

    Avian
    • Data Source

    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:

    • The pages with the highest average session duration are mostly related to the chat functionality, with several /chat/ URLs appearing in the top results.
    • The top page, /chat/RkVwJOF3y0HUw-53RBK8v, has an exceptionally high average session duration of over 6 hours.
    • Several other chat pages also have very high average session durations, ranging from around 1.5 hours to over 3.5 hours.
    • There are also a few pages related to the analysts section that have high average session durations.

    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?