Export your historic Google Universal Analytics eCommerce Data in 5 minutes

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  • เผยแพร่เมื่อ 3 เม.ย. 2024
  • Your historic Google Universal Analytics data is being deleted - here’s how to save it in 5 minutes.
    This week, Google Analytics users received an email reminder of the the upcoming deletion of UA data.
    🤔 What does this mean?
    From July 1st, you will no longer be able to access your historic Universal Analytics website data, losing your chance to see multi-year trends in your brand data (eg seasonality, historic channel and campaign performance etc)
    But there’s a very simple 5 minute solution that Google recommends, that I walk through in the video and below.
    ⭐️ Here are the steps to export a historic daily report into Google Sheets, going back as far back as you need:
    1️⃣ Open a new Google Sheet with the account you use Google Analytics on.
    2️⃣ Go to Extensions - Add-ons - Get Add-ons
    3️⃣ Find and install the Google Analytics extension
    4️⃣ Go back to Extensions - Google Analytics - Create new report
    5️⃣ Name your report eg Brand Daily UA metrics & choose the account / view
    6️⃣ Select Metrics: Sessions, New Users, Bounces, Session duration, Transactions, Revenue and Dimensions: Date
    7️⃣ Change start date to when UA data was first collected, and remove row limit
    8️⃣ Go back to Extensions - Google Analytics - Run report and it will populate into the sheet
    Now you have the historic data saved to review later, and to eg import into Looker Studio to see a YoY view alongside your GA4 data.
    🙋‍♂️ What if I have a few brand accounts I need to do this for?
    Just copy and paste the report column, change the View ID which you can find in Admin - View Settings, and press run.
    🙋‍♀️ What other metrics should I save?
    Other useful reports would be to add channel groupings by date, campaign performance, countries and mobile / desktop split. Google Analytics has also released a template for many common reports so you simply need to change the view ID and date, and refresh. You can find their template here: support.google.com/analytics/...
    💡One tip: Don't export users, conversion rate, bounce rate, avg session duration as these don’t sum when aggregating over different time periods. Instead, calculate them in Google sheets or Looker Studio (eg Bounce rate = bounces / sessions)
    🏃 Do it now before you forget - it won’t be there after July!
    #googleanalytics hashtag#ga4 hashtag#ecommerce

ความคิดเห็น • 24

  • @sapporoj6379
    @sapporoj6379 21 ชั่วโมงที่ผ่านมา +2

    Thank you so much! found you just in the nick of time as my "countdown to doom" clock approached ZERO!

  • @ADMIafrica
    @ADMIafrica 9 ชั่วโมงที่ผ่านมา

    what does it mean when it shows a Sample percentage of 50.83% under Contains Sampled Data-Yes .Please help

  • @natalyf808
    @natalyf808 9 ชั่วโมงที่ผ่านมา

    I have more than 5000 raws and I get feil when I choose more than 10000 raws. What can I do?

  • @bianchidylan

    Hi, so this stores the data permanently in Google Sheets? It's not an api that draws the data in and then will not work after 1 July?

  • @joaomachado8049
    @joaomachado8049 21 วันที่ผ่านมา

    How do I know that my reports are already in GA4?

  • @HoracijeKanic-zf6fu
    @HoracijeKanic-zf6fu 28 วันที่ผ่านมา

    Using Google Sheets has limitation that only reports are exported. It means you need to know all reports you will need later. Seems like painful process. Is there free way to export all UA data at once and create reports on demand later?

  • @NikaSpeare

    Thank you! All saved :)

  • @MohamedSaeed-tv8es

    How can i get my view ID?

  • @somethingcliched4921
    @somethingcliched4921 12 ชั่วโมงที่ผ่านมา

    Brilliant, thank you

  • @WeekendMuse
    @WeekendMuse 14 วันที่ผ่านมา +2

    Very helpful video and resources. Well done!

  • @user-cn2jk5tx3j
    @user-cn2jk5tx3j 4 ชั่วโมงที่ผ่านมา

    Hi James, thanks for the video, looks super easy, but unfortunately its giving bad request error 400 , when i try to download it.

  • @carlaturner6154

    This is great - thanks!

  • @data-made-simple

    I'm hosting a webinar on this topic on May 30th 2024. To join, please register at