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What It Is & How It Works

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What It Is & How It Works

The AARRR metrics framework, also called pirate metrics or the AARRR funnel, is a set of metrics used to track and influence critical user behavior that can lead to business growth. The acronym stands for acquisition, activation, retention, referral, and revenue.

Startups all around the world have been using this framework to learn whether they are on a growth track and what specific stages of the funnel need optimization. And investors watched those closely too. For many years, AARRR was the golden standard of metrics until someone proposed to flip the script.

In this article, you will learn:

Who is the AARRR metrics framework for?

The AARRR framework was devised by investor and entrepreneur Dave McClure (founder of 500 Startups) out of necessity for a simple, universal solution that any startup can use to:

  • Develop a model of customer behavior that leads to business growth.
  • Improve marketing and development efforts by focusing on metrics that really matter.

Naturally, the pirate association is just a coincidence, stemming from how the metrics are pronounced. It has nothing to do with running a startup like a pirate ship. The goal of using this metrics framework is to create a sustainable and scalable business by leaving all the vanity metrics behind and focusing on what makes a business grow.

Therefore, the pirate metrics are not only for marketers. CEOs, entrepreneurs, product managers, and investors can use them too.

How does the AARRR metrics framework work?

As I mentioned earlier, this framework is often referred to as a type of marketing funnel. This is because acquisition, activation, retention, referral, and revenue are proposed here as subsequent stages of a simplified buyer’s journey.

Potential customers ideally start at the acquisition stage. Some of them are activated through experiencing the product, and only a percentage of those initial visitors will arrive at the revenue stage and become customers.

As in any marketing funnel, the idea is to move people from the first stage to the last. Therefore, these stages become steps you need to take in order to make your business grow. Let’s illustrate that:

AARRR funnel. From top to bottom (acquisition, activation, retention, referral, revenue). Arrow pointing from referral to acquisition

So in this section, we’re going to talk about how we can engage each stage of the funnel, plus how to measure each stage of the funnel.

1. Acquisition

Or, in other words, how to attract people to your business? How to make them find your message (or have your message find them) and visit your website or your app? And lastly, how to measure all that?

Without people learning of your existence and coming to you to discover what you offer, your business won’t make any money—no matter how great it is. That’s why you need to think about the marketing tactics and channels that will carry your message to your target audience.

Generally, the more people you attract in the acquisition stage, the more paying customers you will have in the last stage of this funnel.

For this stage, you will likely use a lot of different marketing tactics, spanning various marketing channels. To show you what I mean, let me list a couple of things we do to attract visitors to Ahrefs:

  • Product-led articles for our blog
  • Product-led videos for our YouTube channel
  • Free tools 
  • Social media
  • Partnerships with influencers in our niche
  • Advertising on Twitter, Quora, Google Ads, etc
  • PR

In choosing your tactics and channels, it’s important to know who your target audience is and where you can reach them.

For example, our target audience consists of people who do SEO: professional SEOs, content marketers, business owners, and bloggers, among others. Knowing what they are interested in and the search demand for those topics, we can decide what content we should create to leverage search demand on Google and finally attract them to our website.

Matching terms report results

Using a tool like Ahrefs’ Keywords Explorer, you can automatically generate thousands of keyword ideas by just knowing a few topics your target audience is interested in.

This technique is called SEO content: creating content that’s designed to rank on search engines like Google.

Furthermore, we can measure the performance of that content by looking at the organic search traffic:

Site Explorer overview of beginner's guide on keyword research

An acquisition metric can be anything that informs you of people coming in from “the outside” to your business. So your metrics for this stage will depend on your channels and your business model. These can be referral traffic from reviews, affiliate links from partners, app store visits, app downloads, and more.

Key data that helps track acquisition in the form of bar graphs, line graphs, and table

Tracking acquisition is fairly easy in analytics tools like Google Analytics 4. You can get a breakdown of your highest volume and best-performing channels and track specific campaigns, mediums, and sources.

Measuring acquisition doesn’t necessarily mean tracking homepage visits. You can keep track of visits to any landing page/screen that, in your opinion, acts as a gateway to your business—for example, various landing pages used in your PPC campaigns.

Recommended reading: How to Use & Reduce Customer Acquisition Cost (CAC)         

2. Activation

The activation stage is about determining, engaging, and measuring the actions you want people to take to experience your product or service. These include signing up for a free trial or a free tool, filling out a contact form, signing up for a newsletter, watching a product demo, etc.

Page about AWT

Ahrefs Webmaster Tools is a free SEO tool that we often promote in our content. It’s a great way to activate our visitors because they can use some of the product features for free as long as they want. And if at some point they need more, they have the option to upgrade that same account they’ve been used to.

The reason why you need to “activate” your visitors is that mere visits to your website are not enough to make someone buy from you. Without encouraging your visitors to learn more about or experience your product, they will remain just that—visitors who never become customers.

Of course, it’s nearly impossible to activate 100% of your newly acquired visitors. This study revealed that the average conversion rate on landing pages in the SaaS industry in 2021 was 3%.

Some people will just leave for various reasons (not the right time, just browsing, etc.). This doesn’t necessarily mean you’re doing something wrong. You can precisely target the most relevant keywords, advertise to niche audiences, or be an expert in ad targeting. But you’ll still be visited by people who aren’t ready to buy from you. It’s just part of the game.

Effectiveness in converting people from the acquisition stage to the activation stage depends on factors like:

  • How “qualified” are your visitors when they first come to your site? Do they already know your brand? Are they just learning about the solution, or are they ready to make a purchase?
  • How compelling is your value proposition?
  • How much friction is there before you can activate your visitors? Have you set the bar too high/too low?
  • The UX and UI of your website, e.g., aesthetics, site speed, and information architecture.

3. Retention

This part of the AARRR framework is about encouraging activated users to come back.

The idea behind this is if people repeatedly visit your business, it’s a sign that they want more of what you offer—possibly even enough to buy from you. Conversely, if people don’t come back after activation, it’s likely they’ve lost interest in making a purchase.

You can also look at it this way. If you’re activating users through a free trial of your product and your users come back to actually use the product, they are showing a behavioral pattern similar to that of paying customers: coming back multiple times to use the product.

So by encouraging people to come back, you are fostering that behavioral change. And by measuring this stage, you can more easily forecast which users/cohorts are likely to become customers.

Here are some factors that can influence this stage of the funnel:

  • Expectations vs. reality – If you’re overpromising in the previous stages of the funnel and underdelivering here, people will drop off massively.
  • Low value for the money – Sometimes, there is no other way to see if something is worth the money until you try it. In some cases, people find the value of their purchase doesn’t match the money they spent.
  • Product education – If people don’t know how to use your product or where to find certain features, they will feel confused or even frustrated.
  • Lack of a use case – It’s one thing to show people how they can do something or where they can find some function, and it’s another to inspire. Your customers may need a product like yours, but they may not know what to use it for or how to fit it into their workflow.
  • Tire-kickers and hitchhikers – Some people whom you have successfully activated never meant to buy your product. Some people may just want to browse around, and that’s it. Others may sign up for that one particular thing you offered in your free trial without the need to use it regularly.

With some theory out of the way, let’s look at an example of influencing the retention stage.

At Ahrefs, we use product education as a way to keep our users informed and engaged. So when people sign up for an Ahrefs account, we send them three onboarding emails with an overview video of our toolset and some tips on how to get around the interface.

Ahrefs' "welcome" email with introductory video and list of our 5 main tools, each linked to more resources

It’s a good way to deliver product education in your first email because people actually expect those. (On average, welcome emails get a 91.43% open rate.)

Essentially, that email provides a shortcut to all the product education we serve in other places: this blog, Ahrefs Academy, Ahrefs Insider group on Facebook, and educational videos on YouTube.

As you may have noticed in the screenshot above, we also provide support contextually right inside the product. Every metric that users find inside the toolset has a hint explaining what it is for, and all reports are accompanied by tutorials.

When it comes to measuring retention, the best way to do it is by measuring product engagement (of course, if you’re offering some kind of free trial). For example, you can track how many users log in at least three times in a seven-day period. (You can use tools like Mixpanel or Heap.)

On a side note, if you discover a unique pattern of product usage among your paying customers, you can later use that to modify your retention metrics to better identify users who are most likely to upgrade their accounts.

If you’re not offering a direct product experience in the activation stage, you can reach for other metrics like:

  • Repeated visits to your website (or certain pages in it).
  • Newsletters being opened.
  • A continued conversation with your sales team.

Pro tip

 As far as I’m concerned, the AARRR framework doesn’t say anything about encouraging your inactivated users to come back. It focuses only on repeated visits from activated users.

In fact, in this talk about the pirate metrics, Dave says that “people bounce off your site because they didn’t mean to come there. … Those aren’t the folks that you’re really looking at.”

This isn’t entirely accurate.

First of all, the “bounce rate” metric most often paints a skewed picture of user engagement. That’s why it has been quite recently replaced in Google Analytics 4 by another more universal and more “sensitive” metric.

Second, it may take several touchpoints for a new user to be interested in your product.

So despite the original theory, you may want to consider tactics that will encourage your inactivated users to come back, e.g., retargeting, blogging, being active on social media.

4. Referral

The referral stage in your AARRR metrics should answer the question, “How do we know people like us enough to recommend us, and how can we influence that?”

Referral is just one of the many acquisition channels. However, when someone likes your product enough to tell others, that can’t be a better sign that you’ve created something of great value and people are ready to pay for it. In startup lingo, this means you’re getting traction.

Another reason why you need to take user recommendations seriously is it’s one of the most effective ways to acquire new customers. According to a Nielsen study, 83% of people trust recommendations from friends and family, and 66% of people trust consumer opinions posted online.

As a result of referrals from your happy users, you get more prospects to “fuel” the acquisition stage of the funnel (hence the arrow pointing from referral to acquisition in our illustration of this framework).

But how to make users recommend your product to others? Well, there is no other way around it than to build something truly valuable and provide a great user experience. How? Start with researching your market to understand what the market needs and how well the competition serves that demand. Next, make sure your business idea can achieve product-market fit.

You can look for signs of positive (and negative) word of mouth about your product or service in:

  • Social media shares and conversations.
  • Industry surveys.
  • Review sites.
  • Communities in your market segment.
Poll showing majority of people chose Ahrefs as their go-to SEO toolset

Receiving positive word of mouth organically is the absolute foundation. But not all of your users will be willing to share their experiences, and that’s completely normal. But there are some ways you can influence word of mouth to give it an additional push:

  • Referral programs
  • PR
  • Helpful content that solves your users’ problems
  • Encouraging users to share their experiences on review sites like G2 or Capterra
  • User-generated content (e.g., pictures with branded hashtags on Instagram)
  • Positive experiences (e.g., sending users free swag)
  • Social sharing widgets

When it comes to measuring this stage of AARRR, one idea is to use social media tools like Brand24 to monitor the web for mentions of your product/brand. You can also keep track of your reviews and look for any significant changes in the average rating scores.

If you want to go even deeper and measure the referral stage more thoroughly, you can gauge how willing people are to recommend you using the NPS score.

Sidenote.

Originally, referral is placed before revenue in the pirate metrics, i.e., before a user becomes a customer. But in reality, referrals also happen (and can be influenced) after a user becomes a customer. One could even argue these types of referrals are more important to business growth.

5. Revenue

And finally, after your visitors become activated users, some of them become paying customers.

A somewhat more technical term for that is “monetization behavior.” Dave advises startups to figure out what part of their product or service should be monetized.

For example, the more you use Ahrefs, the more you pay for it. But you don’t pay for every click you make. This is a poor monetization behavior idea. For us, it makes the most sense to tie the price of our service to certain tiers of data usage and data update frequency.

Table of different pricing tiers with corresponding information

Different data usage for different pricing tiers.

In practice, as the usage of our product grows, so do our costs. But our profit grows proportionally as well.

Of course, monetization behavior for your business can be something completely different. You may even keep your service completely free for users and monetize via ads or in-app purchases (e.g., social media platforms).

When it comes to influencing your revenue, you may have already guessed that revenue is an outcome of all of the previous stages of the funnel. The more visitors you attract and effectively activate, the more sales you get in the end.

Let me give you an example. The more we educate people with product-led content, the more data people use in their accounts. And since that’s the main driver of revenue for us, the more data people use, the more we profit. And it’s a win-win. If people use more data, it means they know how to put our product into practice to improve their SEO.

As for measuring this last stage of the framework, here are some popular revenue metrics:

  • Customer lifetime value (CLV or CLTV)
  • Annual or monthly recurring revenue (ARR, MRR)
  • Revenue growth rate

Let’s conclude this section with Dave’s original AARRR dashboard example.

Table of AARRR's stages, along with corresponding info on user state, conversion, and estimated value

A few takeaways from the picture above I’d like to note:

  • Notice how conversion drops as you go down the framework. That’s normal. All marketing funnels are leaky by design. (They probably shouldn’t be called “funnels” in the first place.) But don’t treat those numbers as benchmarks, as they are just examples. 
  • Notice that there are multiple micro stages at each stage. For example, activation consists of these: happy 1st visit, email sign-up, and account sign-up. But you don’t have to frame it this way. You can simplify this dashboard using just one metric per stage. You can also go deeper and use a more granular way of measuring (learn more about marketing KPIs here).

If I haven’t stressed the importance of retention enough, here is an alternative metrics framework that is literally based on this stage.

RARRA is the pirate metrics “remixed” by Thomas Petit and Gabor Papp with mobile startups in mind (but could probably be used by any startup). It goes like this:

  1. Retention – Focus on creating a product that people will want to come back to
  2. Activation – Let people experience the value of your product (aka the “aha moment”) as soon as possible
  3. Referral – Get your users to talk about the app and share it
  4. Revenue – Find ways to monetize the product
  5. Acquisition – Scale and optimize your acquisition channels; do it only after you have clear signals that people are willing to come back to your app (important!)

As you can see, this framework consists of the same stages that we’ve discussed so far. So the question arises, “How is RARRA different from AARRR?”

In my opinion, the main difference between these two frameworks is that RARRA emphasizes certain metrics, while AARRR is just a model for identifying the critical stages in a buyer’s journey.

Or let’s put it this way. The AARRR framework is simply proposing that activation is the first stage in a buyer’s journey. But reading the RARRA framework the same way is wrong because retention can’t be the first stage in a buyer’s journey.

The remixed framework leads with retention (instead of activation) because it tries to emphasize that mobile startups should build products with retention in mind. The original framework, on the other hand, doesn’t specify that you need to focus more on one stage than the other.

I’d say that RARRA is a good commentary to AARRR that’s made 10 years later. And weirdly enough, you can use both. You should build easy-to-use, valuable products that users will want to come back to, but you should also figure out how to attract those users. And what’s more, you will need to acquire a lot more users at the top of the funnel than you want to have customers at the bottom of the funnel.

Of course, I fully encourage you to develop your own opinion about these two frameworks. Or even develop your own modifications when you’re ready. For more information on RARRA, start with Why Focusing Too Much on Acquisition Will Kill Your Mobile Startup.

Final thoughts

One of the most accurate definitions of a startup comes from Eric Ries: “A human institution designed to bring something new under conditions of extreme uncertainty.” That element of uncertainty is what makes focusing on the right things absolutely critical for startup success.

And this is what AARRR offers: focusing on the metrics that really matter to build a sustainable business. This framework may not be complete or perfect, as RARRA proponents claim. But it’s a really good start if you use it properly.

As you go along and learn how to build and market a startup, you’ll see a lot of the-only-thing-that-matters type of stuff. Take all that with a grain of salt. I believe you should try things yourself and see where they take you.

Got questions or comments? Ping me on Twitter.




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SEO

The Expert SEO Guide To URL Parameter Handling

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The Expert SEO Guide To URL Parameter Handling

In the world of SEO, URL parameters pose a significant problem.

While developers and data analysts may appreciate their utility, these query strings are an SEO headache.

Countless parameter combinations can split a single user intent across thousands of URL variations. This can cause complications for crawling, indexing, visibility and, ultimately, lead to lower traffic.

The issue is we can’t simply wish them away, which means it’s crucial to master how to manage URL parameters in an SEO-friendly way.

To do so, we will explore:

What Are URL Parameters?

Image created by author

URL parameters, also known as query strings or URI variables, are the portion of a URL that follows the ‘?’ symbol. They are comprised of a key and a value pair, separated by an ‘=’ sign. Multiple parameters can be added to a single page when separated by an ‘&’.

The most common use cases for parameters are:

  • Tracking – For example ?utm_medium=social, ?sessionid=123 or ?affiliateid=abc
  • Reordering – For example ?sort=lowest-price, ?order=highest-rated or ?so=latest
  • Filtering – For example ?type=widget, colour=purple or ?price-range=20-50
  • Identifying – For example ?product=small-purple-widget, categoryid=124 or itemid=24AU
  • Paginating – For example, ?page=2, ?p=2 or viewItems=10-30
  • Searching – For example, ?query=users-query, ?q=users-query or ?search=drop-down-option
  • Translating – For example, ?lang=fr or ?language=de

SEO Issues With URL Parameters

1. Parameters Create Duplicate Content

Often, URL parameters make no significant change to the content of a page.

A re-ordered version of the page is often not so different from the original. A page URL with tracking tags or a session ID is identical to the original.

For example, the following URLs would all return a collection of widgets.

  • Static URL: https://www.example.com/widgets
  • Tracking parameter: https://www.example.com/widgets?sessionID=32764
  • Reordering parameter: https://www.example.com/widgets?sort=latest
  • Identifying parameter: https://www.example.com?category=widgets
  • Searching parameter: https://www.example.com/products?search=widget

That’s quite a few URLs for what is effectively the same content – now imagine this over every category on your site. It can really add up.

The challenge is that search engines treat every parameter-based URL as a new page. So, they see multiple variations of the same page, all serving duplicate content and all targeting the same search intent or semantic topic.

While such duplication is unlikely to cause a website to be completely filtered out of the search results, it does lead to keyword cannibalization and could downgrade Google’s view of your overall site quality, as these additional URLs add no real value.

2. Parameters Reduce Crawl Efficacy

Crawling redundant parameter pages distracts Googlebot, reducing your site’s ability to index SEO-relevant pages and increasing server load.

Google sums up this point perfectly.

“Overly complex URLs, especially those containing multiple parameters, can cause a problems for crawlers by creating unnecessarily high numbers of URLs that point to identical or similar content on your site.

As a result, Googlebot may consume much more bandwidth than necessary, or may be unable to completely index all the content on your site.”

3. Parameters Split Page Ranking Signals

If you have multiple permutations of the same page content, links and social shares may be coming in on various versions.

This dilutes your ranking signals. When you confuse a crawler, it becomes unsure which of the competing pages to index for the search query.

4. Parameters Make URLs Less Clickable

parameter based url clickabilityImage created by author

Let’s face it: parameter URLs are unsightly. They’re hard to read. They don’t seem as trustworthy. As such, they are slightly less likely to be clicked.

This may impact page performance. Not only because CTR influences rankings, but also because it’s less clickable in AI chatbots, social media, in emails, when copy-pasted into forums, or anywhere else the full URL may be displayed.

While this may only have a fractional impact on a single page’s amplification, every tweet, like, share, email, link, and mention matters for the domain.

Poor URL readability could contribute to a decrease in brand engagement.

Assess The Extent Of Your Parameter Problem

It’s important to know every parameter used on your website. But chances are your developers don’t keep an up-to-date list.

So how do you find all the parameters that need handling? Or understand how search engines crawl and index such pages? Know the value they bring to users?

Follow these five steps:

  • Run a crawler: With a tool like Screaming Frog, you can search for “?” in the URL.
  • Review your log files: See if Googlebot is crawling parameter-based URLs.
  • Look in the Google Search Console page indexing report: In the samples of index and relevant non-indexed exclusions, search for ‘?’ in the URL.
  • Search with site: inurl: advanced operators: Know how Google is indexing the parameters you found by putting the key in a site:example.com inurl:key combination query.
  • Look in Google Analytics all pages report: Search for “?” to see how each of the parameters you found are used by users. Be sure to check that URL query parameters have not been excluded in the view setting.

Armed with this data, you can now decide how to best handle each of your website’s parameters.

SEO Solutions To Tame URL Parameters

You have six tools in your SEO arsenal to deal with URL parameters on a strategic level.

Limit Parameter-based URLs

A simple review of how and why parameters are generated can provide an SEO quick win.

You will often find ways to reduce the number of parameter URLs and thus minimize the negative SEO impact. There are four common issues to begin your review.

1. Eliminate Unnecessary Parameters

remove unnecessary parametersImage created by author

Ask your developer for a list of every website’s parameters and their functions. Chances are, you will discover parameters that no longer perform a valuable function.

For example, users can be better identified by cookies than sessionIDs. Yet the sessionID parameter may still exist on your website as it was used historically.

Or you may discover that a filter in your faceted navigation is rarely applied by your users.

Any parameters caused by technical debt should be eliminated immediately.

2. Prevent Empty Values

no empty parameter valuesImage created by author

URL parameters should be added to a URL only when they have a function. Don’t permit parameter keys to be added if the value is blank.

In the above example, key2 and key3 add no value, both literally and figuratively.

3. Use Keys Only Once

single key usageImage created by author

Avoid applying multiple parameters with the same parameter name and a different value.

For multi-select options, it is better to combine the values after a single key.

4. Order URL Parameters

order url parametersImage created by author

If the same URL parameter is rearranged, the pages are interpreted by search engines as equal.

As such, parameter order doesn’t matter from a duplicate content perspective. But each of those combinations burns crawl budget and split ranking signals.

Avoid these issues by asking your developer to write a script to always place parameters in a consistent order, regardless of how the user selected them.

In my opinion, you should start with any translating parameters, followed by identifying, then pagination, then layering on filtering and reordering or search parameters, and finally tracking.

Pros:

  • Ensures more efficient crawling.
  • Reduces duplicate content issues.
  • Consolidates ranking signals to fewer pages.
  • Suitable for all parameter types.

Cons:

  • Moderate technical implementation time.

Rel=”Canonical” Link Attribute

rel=canonical for parameter handlingImage created by author

The rel=”canonical” link attribute calls out that a page has identical or similar content to another. This encourages search engines to consolidate the ranking signals to the URL specified as canonical.

You can rel=canonical your parameter-based URLs to your SEO-friendly URL for tracking, identifying, or reordering parameters.

But this tactic is not suitable when the parameter page content is not close enough to the canonical, such as pagination, searching, translating, or some filtering parameters.

Pros:

  • Relatively easy technical implementation.
  • Very likely to safeguard against duplicate content issues.
  • Consolidates ranking signals to the canonical URL.

Cons:

  • Wastes crawling on parameter pages.
  • Not suitable for all parameter types.
  • Interpreted by search engines as a strong hint, not a directive.

Meta Robots Noindex Tag

meta robots noidex tag for parameter handlingImage created by author

Set a noindex directive for any parameter-based page that doesn’t add SEO value. This tag will prevent search engines from indexing the page.

URLs with a “noindex” tag are also likely to be crawled less frequently and if it’s present for a long time will eventually lead Google to nofollow the page’s links.

Pros:

  • Relatively easy technical implementation.
  • Very likely to safeguard against duplicate content issues.
  • Suitable for all parameter types you do not wish to be indexed.
  • Removes existing parameter-based URLs from the index.

Cons:

  • Won’t prevent search engines from crawling URLs, but will encourage them to do so less frequently.
  • Doesn’t consolidate ranking signals.
  • Interpreted by search engines as a strong hint, not a directive.

Robots.txt Disallow

robots txt disallow for parameter handlingImage created by author

The robots.txt file is what search engines look at first before crawling your site. If they see something is disallowed, they won’t even go there.

You can use this file to block crawler access to every parameter based URL (with Disallow: /*?*) or only to specific query strings you don’t want to be indexed.

Pros:

  • Simple technical implementation.
  • Allows more efficient crawling.
  • Avoids duplicate content issues.
  • Suitable for all parameter types you do not wish to be crawled.

Cons:

  • Doesn’t consolidate ranking signals.
  • Doesn’t remove existing URLs from the index.

Move From Dynamic To Static URLs

Many people think the optimal way to handle URL parameters is to simply avoid them in the first place.

After all, subfolders surpass parameters to help Google understand site structure and static, keyword-based URLs have always been a cornerstone of on-page SEO.

To achieve this, you can use server-side URL rewrites to convert parameters into subfolder URLs.

For example, the URL:

www.example.com/view-product?id=482794

Would become:

www.example.com/widgets/purple

This approach works well for descriptive keyword-based parameters, such as those that identify categories, products, or filters for search engine-relevant attributes. It is also effective for translated content.

But it becomes problematic for non-keyword-relevant elements of faceted navigation, such as an exact price. Having such a filter as a static, indexable URL offers no SEO value.

It’s also an issue for searching parameters, as every user-generated query would create a static page that vies for ranking against the canonical – or worse presents to crawlers low-quality content pages whenever a user has searched for an item you don’t offer.

It’s somewhat odd when applied to pagination (although not uncommon due to WordPress), which would give a URL such as

www.example.com/widgets/purple/page2

Very odd for reordering, which would give a URL such as

www.example.com/widgets/purple/lowest-price

And is often not a viable option for tracking. Google Analytics will not acknowledge a static version of the UTM parameter.

More to the point: Replacing dynamic parameters with static URLs for things like pagination, on-site search box results, or sorting does not address duplicate content, crawl budget, or internal link equity dilution.

Having all the combinations of filters from your faceted navigation as indexable URLs often results in thin content issues. Especially if you offer multi-select filters.

Many SEO pros argue it’s possible to provide the same user experience without impacting the URL. For example, by using POST rather than GET requests to modify the page content. Thus, preserving the user experience and avoiding SEO problems.

But stripping out parameters in this manner would remove the possibility for your audience to bookmark or share a link to that specific page – and is obviously not feasible for tracking parameters and not optimal for pagination.

The crux of the matter is that for many websites, completely avoiding parameters is simply not possible if you want to provide the ideal user experience. Nor would it be best practice SEO.

So we are left with this. For parameters that you don’t want to be indexed in search results (paginating, reordering, tracking, etc) implement them as query strings. For parameters that you do want to be indexed, use static URL paths.

Pros:

  • Shifts crawler focus from parameter-based to static URLs which have a higher likelihood to rank.

Cons:

  • Significant investment of development time for URL rewrites and 301 redirects.
  • Doesn’t prevent duplicate content issues.
  • Doesn’t consolidate ranking signals.
  • Not suitable for all parameter types.
  • May lead to thin content issues.
  • Doesn’t always provide a linkable or bookmarkable URL.

Best Practices For URL Parameter Handling For SEO

So which of these six SEO tactics should you implement?

The answer can’t be all of them.

Not only would that create unnecessary complexity, but often, the SEO solutions actively conflict with one another.

For example, if you implement robots.txt disallow, Google would not be able to see any meta noindex tags. You also shouldn’t combine a meta noindex tag with a rel=canonical link attribute.

Google’s John Mueller, Gary Ilyes, and Lizzi Sassman couldn’t even decide on an approach. In a Search Off The Record episode, they discussed the challenges that parameters present for crawling.

They even suggest bringing back a parameter handling tool in Google Search Console. Google, if you are reading this, please do bring it back!

What becomes clear is there isn’t one perfect solution. There are occasions when crawling efficiency is more important than consolidating authority signals.

Ultimately, what’s right for your website will depend on your priorities.

url parameter handling option pros and consImage created by author

Personally, I take the following plan of attack for SEO-friendly parameter handling:

  • Research user intents to understand what parameters should be search engine friendly, static URLs.
  • Implement effective pagination handling using a ?page= parameter.
  • For all remaining parameter-based URLs, block crawling with a robots.txt disallow and add a noindex tag as backup.
  • Double-check that no parameter-based URLs are being submitted in the XML sitemap.

No matter what parameter handling strategy you choose to implement, be sure to document the impact of your efforts on KPIs.

More resources: 


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SEO Experts Gather for a Candid Chat About Search [Podcast]

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SEO Experts Gather for a Candid Chat About Search [Podcast]

Wix just celebrated their 100th podcast episode! Congrats, Wix. To quote Mordy Oberstein, Head of SEO Brand at Wix; “we talk a lot.”

You sure do! It’s a good thing you have a lot of interesting stuff to say.

The 100th episode of “SERPs Up” was full of awesome guests. Here’s a summary of the action.

Apart from the usual faces, Oberstein and Crystal Carter, Head Of SEO Communications, it was a powerhouse guestlist:

  • Chima Mmeje.
  • Darren Shaw.
  • Joy Hawkins.
  • Eli Schwartz.
  • Kevin Indig.
  • Barry Schwartz.

Just How Broken Are The SERPs?

The first guest was Chima Mmeje from Moz. She dove into the frustrations that many SEOs have been feeling and spoke plainly about the flaws in Google’s updates.

Mordy Oberstein: “Is the SERP broken?”

Chima Mmeje: “The helpful content update, and I’m saying this here, live, is a farce. There was nothing helpful about that update. … Yes, the SERP is 1,000% broken. … How does anybody even use Google in the U.S.? … I don’t think they are going to release any update that will fix these issues.”

Mordy Oberstein: “There’s no update. … Plopping Reddit all over the SERP was because they saw the content trends … and they said ‘we don’t have any so we’re just going to throw Reddit there’.”

Chima Mmeje: “It was lazy to have Reddit there … Nobody uses their real names. Anybody can go on Reddit and answer questions and then you see these answers populating in People Also Ask, populating in featured snippets, populating all over the SERPs as correct information. It is dangerous, at worst.”

Crystal Carter: “Do you think that one of the reasons why we’ve seen so much upheaval and so much so volatility in the SERPs, which I certainly agree with in the last year … is lots and lots of variables, like lots of new features coming in, so the alignment with Reddit, the AI overviews, the SGE … Do you think it is just too many things being thrown in at the same time and it messing up lots of SERPs as a result? Or do you think it’s something else?”

Chima Mmeje: ” … releasing too many features that they did not test properly. Features that were rushed SGE [testing] did not even last a year and now they brought in Google AI Overviews. I still don’t understand why we have AI Overviews and featured snippets on the same SERP. I feel like it’s like pick one, make a choice.”

Mordy Oberstein’s next question was about what we can do. “As an SEO, how are you supposed to do this? I’ve heard things from people … Yeah, I don’t know what to do. I can’t produce the kind of results that I’ve always wanted to. Can you still be effective as an SEO in an environment like this?”

Chima Mmeje: “I’m going to be honest, we are suffering … It feels like we are trying our best with what we are seeing … because there is no clear guidance. And to be honest, a lot of us are playing a guessing game right now and that is the best that we can do. It’s all a guessing game based on what we’ve seen one or two variables work. And this is not a long-term strategy. If we’re going to be realistic, it’s not going to work in the long-term. I honestly, I don’t know what the answer is … you’re fighting against Reddit. How do you compete against Reddit? Nobody has figured that out yet.”

Crystal Carter: “Thanks for saying it out loud, Chima.” Crystal was reflecting the sentiment of the commenters, who appreciated her candor and willingness to say: we don’t know, but we’re trying our best.

Mordy Oberstein: “The most honest take I’ve heard on that in quite a long time.”

Mmeje also recounted examples of small website owners and small businesses that have had to shut down. She also talked about the pervasive feeling in the SEO community that there is no rhyme or reason to how the algorithms handle websites and content.

What’s Going On In Local SEO?

The next guests were Darren Shaw from Whitespark and Joy Hawkins, owner of Sterling Sky for a segment called “It’s New.” They talked about new developments in local SEO.

Hawkins talked about a new feature in Google Business Profile.

Joy Hawkins: “… There’s a little services section inside the Google business profile dashboard that’s easy to miss, but you can add anything you want in there. … We’ve done a lot of testing on it and they do impact ranking, but I should clarify, it’s like a small impact. So usually we see it for longer-tailed queries that maybe don’t match a category or things that are not super competitive. … So it is a small ranking factor, but still one that is worth filling out.”

Darren Shaw: “ .. this is the question that a lot of people ask. We know that if you go into the services section of your Google business profile, Google will suggest predefined services … And so Joy’s original research was focused on those predefined ones and it definitely identified that when you do put those on your profile, you now rank better for those terms depending on how competitive they’re, as Joy had mentioned. … There is a place where you can add your own custom services. Have you done any testing around that? Will you rank better with the custom services?”

Joy Hawkins: “Yes. They both work. In custom services … I’m trying to remember the keyword that Colin tested it on. It was something super niche like vampire facials. I was Googling, what the hell is that? … Really, really niche … But he just wanted to know if there was any impact whatsoever and there was. [Custom services fields are a] good way to go after longer tail keywords that don’t have crazy high search volume or aren’t super competitive.”

Darren Shaw: “You want to make sure that you’re telling Google what you do … that’s basically what the services section provides. And it’s not a huge ranking factor, but it’s just another step in the local optimization process. … a tip for custom services because custom services often get pulled into the local results as justifications. It’ll say this business provides vampire facials, right? Well, did you know there’s a vampire emoji? So if you put the vampire emoji in the title … Then in the local results you’ll see a whole panel of businesses that all provide that service, but yours has that little vampire emoji which will draw people in.”

There was tons more in this section, including questions from the audiences and some great jokes.

The Obligatory AI Section.

Eli Schwartz And Kevin indig were next up to talk about AI. Oberstein, professional rabble rouser, tried to get them to argue, but despite their very different posting habits, they found a lot to agree on about AI.

Mordy Oberstein: “It wouldn’t be an SEO podcast if we didn’t talk about AI. Where do we currently stand with AI? What can it do? What can’t it do?”

Kevin Indig: “… We’re at a stage where AI basically has the capability to create content, analyze some basic data. It still hallucinates here and there and it still makes mistakes. … If you compare that to when this AI hype started in November, 2022, so it’s almost two years now and we’ve come a really long way, these models are getting exponentially better. … It means different things based on whether you look at it as a tool for yourself to make your work more efficient. And of course, what does it mean from an SEO perspective? How does it change search, not just Google, but also how people search. And I think these are all different questions that are exciting to dive into. … So there is a lot of objective data that indicates efficiencies and benefits from AI. There’s also a lot of hype that promises a little too much about what AI can do. And so I’m generally AI bullish, but I’m not in the camp of AI is going to replace us all the next two years.”

Mordy Oberstein: “I’m setting the stage here a little bit because while your LinkedIn pros are generally like pro ai, a lot of Eli’s posts are a little more skeptical about AI. So Eli, what do you think about what Kevin just said? By the way, I’m like, for those who are listening or watching this, I’m pitting them against each other. They’re friends and they do a podcast together. So it’s cool.”

Eli Schwartz: I think AI is great. I think that there’s a lot of great things you can get out of AI. You can, again, like Kevin said, it can be your thought partner. … I’m anti AI in the way people are using it. And I don’t think people have necessarily changed their behaviors because before … they outsource [content] on Fiverr and Upwork and they bought very cheap content and now they’re getting very free content. So then that’s coming from AI. That behavior hasn’t really changed. The challenge is that now there are more people that think they can copy them.

So I talk to CMOs all the time who are like, well, I just go of my SEO team. A big company reached out to me recently. They wanted to gut check themselves after they already fired their SEO team. So I can’t really help there, but they’re like, AI can do everything. … Well, I’ll see them in a year from now when they have whatever sort of penalty. AI is a very powerful tool. Any tool we have a drill is a very powerful tool. But if you just hold it in the air and just let it go, it’s going to make holes. But if you use it appropriately, it does the thing it’s supposed to do. … We’re humans and we buy stuff and it has to come to a point where humans are talking to humans.

Crystal Carter: “… Most of the gains are coming from productivity. The stuff like Kevin was talking about with being able to write product descriptions more quickly, being able to write lots of posts more quickly and being able to finish your things more quickly, brainstorm, et cetera, in terms of the quality, the quality is still not there. It’s getting there rapidly, but it’s still not there.”

There was lots more AI talk, so you should listen to the whole episode if you want to hear the full range of opinions.

Snappy News About The Google August Update

“The Snappy News” segment featured Barry Schwartz, Contributing Editor to Search Engine Land. It also featured the dreaded SEO phrase “it depends.”

Mordy Oberstein: So the article of the day is from Search Engine Land, basically written by Barry that the core update, the August 2024 core update is done. It is complete. … The issue with Google folks who are trying to figure out, will they see a reversal of their fortunes from the 2023 helpful content update, the September, 2023 helpful content update. It’s a mouthful, to be honest with you. And my question for you, since you’re here, did that happen? Was the August updated reversal?

Barry Schwartz: “It depends on the site. I think the number, I don’t have the exact data, obviously I don’t think anybody does, but I’ve seen examples of some very few sites see complete reversals. … There are a number of sites that saw maybe a 20% bump, a 30% bump, maybe a 5% bump. But very few sites saw a complete reversal, if you want to even call it that. … I’ve been through a lot of Google updates over the years, and it’s sometimes sad to see the stories, but at the same time, if you keep at it and you are true to the content, your audience, generally, you’ll do well in the long run. Not every site, there’s plenty of sites that have been hit, went out of business, and they couldn’t come back. That’s business in general. And things change, like seasonalities and times change. You’re writing about the railroad business a hundred years ago and you keep writing about it today. There’s not many people investing a lot of money in railroads these days. So I dunno, it’s, it’s hard to read those stories, but not everybody deserves to go back to where they were. And then at the same time, Google’s not perfect either, which is why they keep on releasing new updates.”

That’s a wrap!

If you haven’t experienced a SERPs Up episode before, you should absolutely take a listen to experience the full effect of Mordy and Crystal’s banter.

The SERP’s Up podcast is brought to you by Wix Studio

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OpenAI Claims New “o1” Model Can Reason Like A Human

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OpenAI Claims New "o1" Model Can Reason Like A Human

OpenAI has unveiled its latest language model, “o1,” touting advancements in complex reasoning capabilities.

In an announcement, the company claimed its new o1 model can match human performance on math, programming, and scientific knowledge tests.

However, the true impact remains speculative.

Extraordinary Claims

According to OpenAI, o1 can score in the 89th percentile on competitive programming challenges hosted by Codeforces.

The company insists its model can perform at a level that would place it among the top 500 students nationally on the elite American Invitational Mathematics Examination (AIME).

Further, OpenAI states that o1 exceeds the average performance of human subject matter experts holding PhD credentials on a combined physics, chemistry, and biology benchmark exam.

These are extraordinary claims, and it’s important to remain skeptical until we see open scrutiny and real-world testing.

Reinforcement Learning

The purported breakthrough is o1’s reinforcement learning process, designed to teach the model to break down complex problems using an approach called the “chain of thought.”

By simulating human-like step-by-step logic, correcting mistakes, and adjusting strategies before outputting a final answer, OpenAI contends that o1 has developed superior reasoning skills compared to standard language models.

Implications

It’s unclear how o1’s claimed reasoning could enhance understanding of queries—or generation of responses—across math, coding, science, and other technical topics.

From an SEO perspective, anything that improves content interpretation and the ability to answer queries directly could be impactful. However, it’s wise to be cautious until we see objective third-party testing.

OpenAI must move beyond benchmark browbeating and provide objective, reproducible evidence to support its claims. Adding o1’s capabilities to ChatGPT in planned real-world pilots should help showcase realistic use cases.


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