Hello friends following me this Friday on "implicit vs explicit search intent."
When you've been around the SEO industry for a while you start hearing new terms emerge. Search intent, user intent, keyword intent. As usual, I'm going to start with a bit of history.
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Informational, navigation, and transactional queries - this categorization has been around since I've been doing SEO, and it takes an internet search to appreciate how old it is - 2002. You can still split up queries this way, but it's not great.
These are non-exhaustive "modifiers? off the top of my head that SEO's would drag/drop in Excel as an array to categorize queries
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As the world got better at technology - or perhaps because search technologies got better - informational queries started to increase. Relevant answers were at our fingerprints. Google introduced "Micromoments" which is a fancy word for JTBD.
Every one of you reading my Tweets goes through these "moments" where you're going through life and Search is a great companion. Instead of calling a trusted friend/parents/professional you're Googlin'. This was simplified to "Do, Know, Go" (& Buy)
The problem? Ambiguous head queries and evolving search needs. @KennChoi was generous enough throw in a few for this rant. "Home gym, fire pit, carne asada tacos"
The SERPs tell us it's a spectrum of things you could want to do. AKA fractured intent
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Let's take the query "home gym"
In SEO, we like to say SERP features reflect query intent.
Product Listing Ads? Transactional intent/i-want-to-buy stuff for a home gym.
Map pack? I want to go to a gym near my home.
Videos? I want to learn about kinds of home gym setups
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Those are "generalizations" on SERP features. The reality is is that intent is nuanced based on your previous query and personal circumstances. e.g. Odds are if you searched "carne asada tacos" at 1AM on a mobile device in Colorado you're probably stoned|drunk|craving
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Googlin' "carne asada tacos" at 5PM and you're at a work laptop/desktop? Maybe you're impressing a date with a recipe.
The "you're looking for tacos" part is explicit. The "what else you need" is implicit (impress date). e.g. Make sangria and guac too to impress your date.
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And here's the magic SERP feature that has happened the past year. People Also Asked. The follow-up queries are giving us hints to what the implicit intent is.
Want another pro tip? Click on a result, go back, look at people also searched for. An example...
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People also searched for (1st result)
menards fire pit
gas fire pit tables costco
30 inch fire pit
outdoor metal fire pit
hampton bay gas fire pit
propane fire pit
We're not even done folx
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"fire pit" SERP when you "pogostick" back
People also searched for (2nd result)
wood burning fire pit ideas
best wood burning fire pit
wood burning fire pit amazon
fire pit wood logs
wood burning fire pit table
wood burning stone fire pit
Wow. Look at that difference.
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In the old days SEO's looked at just query syntax to best match the explicit intent (think searcher is trying to accomplish).
It's 2020. Start looking at the implicit intent people may have by going down a deep rabbit hole.
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Should results change if it's at home vs mobile? time of day/year? Age group?
Btw, you can find this in Trends or Display Network audience tools, RSLA, to get inspiration if you also understand paid search.
We can do better than copy and enhance what SERP competitors do.
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I leave this thought with you - you can create an ML for classifications but you'll always need training data. A lot of models the world runs on broke because we were not ready for a pandemic. There's an implicit covid19 intent for every query now.
Be helpful. Be kind.
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Additional reading (maybe I plagiarized, I wouldn't know):
Happy Friday folx - we're ranting about pagination.
We're going to break down the problem pagination was supposed to fix, the problems it ended up creating, and why I want to kill it with fire. Something #passageindexing
And fun. And wacky. And evolving. More people started connecting to the internet, own websites, publish content, sell stuff online (who would trust that?!), and much more.
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Then there were at least three problems:
- Folx created more content, it was no longer feasible to put it all in one URL
- People broke up their content into chunks for better user experience or ad monetization
- Inventory-driven websites were confusing search engines
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Today we’re going to rant about “microsites,” a broad term used to describe creating a “new” website experiences. It will cover the why, some pros, some cons, and probably go off topic.
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Microsites can be subdomains, brand new domains, or even subfolders of a brand - the telling sign is generally the tech stack differs (not always true). Quick hop on builtwith.com and you'll often see React apps powering parallax experiences (RIP Flash websites).
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Happy Friday - let's rant about keyword density, LSI keywords, internal/external links per N words, and word count - vernacular you want to get out of your processes sooner rather than later.
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Keyword density, usually defined as a percentage of amount of times a keyword shows up divided by the total number of keywords on the page, is product of the keyword-stuffing years of SEO.
e.g. I heard SEO Expert Chad recommends pages should have a Keyword Density of 2% !
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Search engines were still using the keywords meta tags for rankings, the amount of times a keyword was repeated on a page had a huge influence on whether a page would rank, and there were algorithms that would pick up keyword stuffing. Yo it's not the pre 2k or early 2000's.
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The subdomains vs subfolders/subdirectories debate just won't die. Search engines have evolved their treatment of "what is a website" over time, and yet the debates cling to old case studies.
At some point of this rant, we're going to talk about ccTLD's, sub-subdomains, and subdomain plus subfolder combinations with ccTLD's because #teamsubfolders uses the same argument for everything.
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The concept of a "website" in the early days of the internet was that subdomains were separate entities from the "home" site. This article on website boundaries from Bing is worth revisiting. blogs.bing.com/webmaster/nove…
Websites are "leasing" subdomains/subfolders to rank stuff.
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Happy Friday friends. Today we're going to rant about the trials and tribulations of data accuracy for digital marketers, why data-based goal setting is hard, and how you can't fix both of these things forever, using the fabled "Bounce Rate" as an example.
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A common mistake in digital marketing is not understanding, fundamentally, how website data or 3rd party competitor website data is being collected. How is SimilarWeb, SEMRush, and Ahrefs collecting data? How does GA, GSC, Bing, Pikwik, Adobe, HubSpot collect data?
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I can't count the amount of times different implementations of Google Analytics goes awry - double tags, scraper site uses your GA ID, missing tags, non-standard implementations that weren't working, deprecated implementation, code in the wrong place...
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