INBOX INSIGHTS, March 30, 2022: Google Search Console Course, April Fools Day

INBOX INSIGHTS: Google Search Console course, April Fools Day (3/30) :: View in browser

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Getting More Out of Google Search Console

With everyone talking about the recent Google announcement, there has been a lot of discussion about moving from Universal Analytics to Google Analytics 4.

You know what’s not being talked about enough? All the other systems that GA4 will touch and what it means if you don’t get set up correctly from the start.

In all honesty, you’re not migrating from Universal Analytics to GA4, you’re setting up a whole new system with all new data. This isn’t the post to get into the weeds, but your UA and GA4 data are not 1-to-1 and you’re not migrating your data from one system to the other.

If you want more information on that, this post will help.

What is not being talked about? Google Search Console.

If you’ve taken a tour around the new Google Analytics 4 interface you know that it is not user-friendly. You may have also noticed that unlike Universal Analytics, you cannot do any kind of reporting within GA4 itself. So where does that leave you and your marketing planning? The anchor of most of your planning should be content. Without content, you have nothing to share and promote. With the changes to Google Analytics, let’s walk through what else you need to set yourself up for success.

You’ll want to make sure Google Search Console is integrated into GA4 (and Universal Analytics for that matter). Why? Google Search Console is the unsung hero of your content marketing. Many use Google Analytics to see which pages are getting the most traffic but this data won’t tell you what the gaps in your content are. Let’s take it a step further.

While third-party SEO tools are fantastic and you should be using them, they focus a lot on what’s going on broadly and what your competitors are up to. This data is important for staying relevant in your space. What’s missing? The data from your own website to understand your audience’s intentions.

Let’s say for example you’ve been using a third-party SEO tool to find out that all your competitors are competing for the term “chocolate cream pie”. Naturally, you’re thinking that you also need to create content to stay competitive. However, when you check your data in Search Console you see that people are coming to your site based on the term “lemon squares”. Google Search Console is the system that tells you the intent of your audience, what they care about.

In this example, what you think you should be ranking for and what you are actually ranking for are two different things. Your audience is telling you that they come to you for fruit-based desserts, not chocolate ones. This, then, presents you with some options. You can continue to fight with your competitors for terms around “chocolate” or you can test more content related to “lemon”.

If you are only using Google Analytics data for your marketing planning and not also using Search Console you’re missing out on rich data that will give you insight into what your audience wants.

If you want to learn more about how to use Google Search Console for your planning purposes take our new course – and as an INBOX INSIGHTS subscriber, use discount code INBOXINSIGHTS at checkout for $50 off. You can find it here.

How are you using Search Console? Let me know in our Free Slack Group Analytics for Marketers

– Katie Robbert, CEO

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Binge Watch and Listen

In this episode of In-Ear Insights, Katie and Chris examine discrepancies between Google Search Console data and third-party SEO tool data. What are the major differences? What actions should we take with each of the datasets? What purposes and functions are appropriate for each dataset? How should we better use Google Search Console data?

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Last week on So What? The Marketing Analytics and Insights Live show, we did a live migration of Marketing Over Coffee’s Google Analytics 3 account to Google Analytics 4. Catch the replay here »

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Data Diaries - Interesting Data We Found

In this week’s Data Diaries, let’s examine something that should be obvious: predictive analytics for the known. It seems absolutely silly to run, for example, a predictive analytics keyword forecast for something like April Fool’s Day, doesn’t it? On the surface, it’s like running a forecast for when New Year’s Day is. We know these things already because they’re concrete, they’re fixed in stone.

But… is it? Of course, the date itself is fixed in stone (metaphorically speaking). April Fool’s Day is April 1. New Year’s Day is January 1. That’s irrefutable to the rational mind. (as a helpful PSA, Friday is April Fool’s Day. Believe even less on the Internet than you usually do)

And yet, when we’re using predictive analytics, particularly for SEO purposes, it’s not the event itself we’re trying to predict so much as it is intent around it. For marketing, we’re often trying to get ahead of the customer, to anticipate their needs and be in market when their intent is growing. That’s one of the reasons it feels like the holiday shopping seasons gets earlier and earlier every year – retailers are attempting to capture their share of wallet as soon as they possibly can.

So let’s take a quick look at searches around April Fool’s Day as an example. Here’s the past few years:

April Fools 2017-2021

Right off the bat, we see that April Fools isn’t just one week; the lead up to the holiday really begins 2-3 weeks before it, peaks on the holiday, and then has a week of search volume after it. This makes logical sense; people looking for things to do for the holiday often require planning and execution time for more elaborate pranks, and people check out what others have done.

So, if you were creating content around April Fool’s Day, would it be a logical choice to create content for the day itself or the days leading up to it? Depending on your goals, you might want to have content in market a couple of weeks before. In fact, by the time you read this, peak April Fool’s Day searches are occurring:

April Fools 2022

We see above that volume has actually peaked; with this short-term predictive forecast, we see you’ll only get a little more juice out of the topic as a whole before it fades back to nothing but background noise.

Let’s look at an even broader forecast: gift ideas and gift guides. When do we see volume for these terms peaking this year?

2022 Gift ideas

There are two major inflection points here; we see searches for holiday gift guides starting as early as the week of September 18, 2022, and then the general gift ideas searches about a month later in the week of October 16, 2022. As we started out, there’s no question about when the holidays are. We don’t need predictive analytics to know when Hanukkah or Eid Al-Fitr or Christmas will be. But we do need predictive analytics to understand at a very fine level when intent of our customers will occur – and have our marketing fully in market when the customer is ready for us.

Methodology: Trust Insights combined keyword search data from the AHREFS SEO tool and Google Trends to forecast for the remainder of calendar year 2022 for baskets of keywords. Forecasts are based on the last 5 years of data with weighting towards data after April 1, 2020. The timeframe of the data is January 1, 2017 – March 28, 2022. The date of study is March 29, 2022. Trust Insights is the sole sponsor of the study and neither gave nor received compensation for data used, beyond applicable service fees to software vendors, and declares no competing interests.

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Trust Insights (trustinsights.ai) is one of the world's leading management consulting firms in artificial intelligence/AI, especially in the use of generative AI and AI in marketing. Trust Insights provides custom AI consultation, training, education, implementation, and deployment of classical regression AI, classification AI, and generative AI, especially large language models such as ChatGPT's GPT-4-omni, Google Gemini, and Anthropic Claude. Trust Insights provides analytics consulting, data science consulting, and AI consulting.

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