None of this is scheduled, so I’ll be thinking of something daily, alongside a gif (obviously). Hope you find them useful 🙏👇
For most of us that's historical data in GA.
You can start simple in Sheets with =forecast() and then apply a seasonality index from the average. Use that as the basis for developing ranking scenarios thereafter.
In the GIF, I've used it to quickly get the primary category names from Amazon's full shop directory.
eg. travel intent has shifted from booking to advice + info
Track and predict intent, then optimise accordingly. 🚀
Not only can you quickly understand whether pages should *potentially* link to each other but it's also a good way of finding duplicates 💡
Take the estimated total visits * traffic by country * traffic by channel.
All of this can be automated using the @dataforseo API.
If you add:
document.designMode="on"
to the Console in Chrome Dev Tools, you can edit your website live in Google Chrome💡
Inductive reasoning packs a lot more punch. 👊✨
With GSC data, plot CTR/Avg. pos. in a scatter chart. Use power trendline and display R2 equation. Use equation to find residual values (check gif).
High residual values = high CTR
Low residual values = low CTR
A no-code way of doing this is using gallery.shinyapps.io/ga-effect/ by @HoloMarkeD to add your control & variant GA segments and select the date your experiment started. 🔥
You can use it to discover common or trending searches associated with your brand right now, to create content that protects, informs and inspires.
What should Barnard Castle do?
@semrush has done a fantastic job of helping with this with their Market Explorer report.
semrush.com/market-explore…
Ask, what assumptions am I making that need to be true, in order for my hypothesis to be true. 💡
Using this simple test, you can quickly discover whether it’s worth pursuing.
getredirects.com can match thousands of URLs from your legacy website -> new. 🔥
If you're interested to see where you'd rank if you didn't own the featured snippet add:
&num=9 to the URL in Incognito.
Want to see competitor GMB categories? 🔥
1. Head over to G Maps 📍
2. Enter your competitor 🏆
3. View source 🤖
4. Cmd/Ctrl + F 'primary category' 🔎
With an organic keywords export from @ahrefs you can use SERP features to classify intent with a simple IF formula.
eg. Shopping = Do, Buy / Featured Snippet = Know Simple
READ: kevin-indig.com/user-intent-ma…
Commercial investigative query modifiers can be a good way of segmenting rent vs buy.
Across some markets, modifiers such as 'best' are almost exclusively owned by affiliates.
Image search traffic could be skewing your conversion rate as shown by @ajkohn blindfiveyearold.com/the-problem-wi…
Safari ITP could be skewing your attribution. simoahava.com/analytics/itp-…
Better data, better results. 👍
For ecom sites in particular, using REGEX to match the number of subfolders can give you a ton of insight 🚀
1 subfolder: ^/[^/]+/$
2 subfolders: ^/[^/]+/[^/]+/$
1 subfolder (no trailing slash): ^/[^/]+/[^/]+[a-zA-Z0-9]$
Page 2 = quick wins 💨
Page 3+ = longer term opps ⏰
You can usually find some keyword gems > page 2. Keywords where landing pages aren’t as relevant as they could be and a more specific landing page will rank better.
1. can you outrank partners to increase your profit?💰
2. can you increase your search coverage to increase your avg. CTR in search results? 📈
Add noindex tags ⛔
Change page templates and content ✍️
Create dynamic meta titles 🔍
& more 🔥
Also check out sloth.cloud by @salt_agency
One way to identify where you're topically relevant in GSC is to look at which search query classes you tend to rank well for. ie. bike hire [location] 🚴
These are repeatable query patterns you can use to scale your SEO campaigns. 💥
Search console is a great way to identify multiple pages ranking for the same query, and potential cannibalisation.
I believe I may have got this function and rejigged it a bit from @ahrefs - go deduplicate! (client info blanked out)👇
To get this data back in GA use keyword-hero.com
I really love the brain behind this tool and it matches between 80-85% of keywords with sessions. 🧠
If we take a query like 'chicken recipes' we see related entities such as 'easy' & 'healthy'. These are cues on what you should include in your content or use to develop an info hub.
For 'adidas trainers' this could be -> Originals -> Originals Gazelle 👟
Install the G Translate Chrome extension so that you can translate all of the keywords in your tool of choice.
Use the G Translate function in G Sheets to translate at scale eg. =googletranslate(A2,"auto","fr")
My biggest piece of advice is to keep on learning. All of my tips have ultimately came from others, or things I've picked up along the way. 📖 🚀
Hope you got some use out of them! (though I did miss a few days) 😄