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- AI driven or back to basics? 🤖
AI driven or back to basics? 🤖
And hot off the press - a GA4 report builder! 😮
Last week, iMedia, the AU conference organiser, announced their conference theme for 2024: “Why Retail is Getting Back to Basics”. They highlighted that brands “who are developing more efficient BAU (Business as usual) processes are finding greater successes.”
This marks quite a contrast to what attendees saw in the National Retail Federation conference in New York earlier this month, where the talk was everything AI.
There, more than 20 exhibitors included “AI” in their titles, while the big tech from Google, Microsoft and Salesforce released new AI tools or research. Text-to-Shop initiatives, shopping assistant chatbots and AI powered personalisation were some of the headline features.
🛣️ So which is it in 2024? Sticking to the basics, or doubling down on new and disruptive AI initiatives?
In my view it’s a no brainer. 2024 is the year to get the basics right.
If we don’t yet trust our own data, should we trust AI to make recommendations from it?
If the team don’t know how to interpret marketing data, should we rely on AI to help with this?
If we’re not yet confident that our customer data is being handled correctly, should we use AI to send personalised recommendations?
🤖 AI is only as effective as the quality of the data source - you’ll notice this if you’ve ever given too vague a question to ChatGPT! In other words: “Garbage in, Garbage out”.
Yes, we need to keep close to the capabilities of AI to save time and optimise our marketing, but just not to the detriment of getting the business fundamentals right first.
Now in this theme, let’s cover off some basics in the world of marketing analytics…
📋 What we’re covering this week:
A new tool to save a lot of time in creating reports in GA4
In Case You Missed It: How do I use the Shopify x GA4 order accuracy template?
Google adds more prominent unsubscribe placements in Gmail
Easier GA4 channel mapping for those that use Looker Studio
And if you find this newsletter useful, please consider sharing with others: https://datamadesimple.beehiiv.com/subscribe
NEW ANALYTICS TOOLS
🗞️ Hot off the press - A GA4 Report Builder 🗞️
Last week, Steve Lamar, a GA4 expert and trainer, released a free tool that streamlines the creation of GA4 reports, including those that were in Universal Analytics (eg breakdown by channel).
Simply add your GA4 property ID at the top, select the report from the left hand side, and then load and save it into GA4 in a relevant menu.
Here’s the top 5 GA4 reports I’d recommend importing for my ecom friends:
Channels (ecomm) - this is already in the default reports, but includes more useful metrics for ecommerce like session conversion rate and transactions.
Campaigns - a good overview to show you how individual campaigns are doing (and point out if you’ve structured your UTM parameters correctly 😜)
Channels section (all): All of this section is great to deep dive into individual channels, which GA4 doesn’t have reports for out of the box.
Sales by transaction ID - A great one to deep dive into individual transactions to troubleshoot any misaligned orders.
Coupon Codes - A report of all the coupon codes used in orders, and their popularity. Any there you’ve left on mistakenly? 😳
So how does it work?
It’s all in the URL! When you create any custom GA4 report in the interface, the URL updates to reflect this. So Steve has cleverly mapped out each of the variables of the URL and put it into a friendly interface.
Of course, the reports are only as valuable as the quality of the data that is fed in, so if something looks off when you’re reviewing, let me know.
You can try out the report builder here:
ICYMI:
How do I use the Shopify x GA4 order accuracy check template?
We touched on this last week, but I wanted to deep dive into the process of checking your GA4 order accuracy with this template, as it’s a fundamental element of trusting your data. These instructions are for Shopify, but it’s a similar process for any platform.
1️⃣ In GA4, create a new exploration with the following:
↳ Date Range: Last 30 days
↳ Dimensions: Date
↳ Metrics: Select Purchase revenue THEN Purchases
↳ Double click to populate into the table, and order date chronologically
↳ Show rows: 50
2️⃣ Then, in Shopify go to Reports > Create custom report > Sales over time
↳ Date Range: Last 30 days
↳ Columns: Gross Sales THEN Orders
↳ Save as Sales by day checks
↳ Export
3️⃣ Then paste them into the following template and check the % discrepancy: https://docs.google.com/spreadsheets/d/15wE-4FcA0g1XmOR9zaTchpKsSen7uZr92dQBrFUcunY/template/preview
Seeing big discrepancies?
This gap is usually closed by installing a server-side tracking app, which sends all orders directly from Shopify to GA4, rather than through the browser. You can see the recommendations and next steps for this here: https://www.youtube.com/watch?v=I8hEGxFyGWo&t=1307s
Other news
📩 Google made it easier for users to unsubscribe from emails by adding more prominent placements in Gmail. What does this mean for your email analytics? A slightly higher unsubscribe rate, and a lower spam rate. Read more
📊 GA4 Custom Channel Groupings are today available in Looker Studio. What does this mean? If you use Looker Studio for your reporting, and have custom channel groups to categorise your traffic better (recommended!), then this update is for you!
That’s all for this week 🫡
Let me know what you’d like to understand for a future deep dive topic!
James