SEO

Content Marketing for SaaS: The Ahrefs Guide

Published

2 years ago

October 12, 2022

Content Marketing for SaaS: The Ahrefs Guide

Content marketing is a popular type of marketing for SaaS marketing. Many companies have succeeded with it. HubSpot, Ahrefs, Zapier—the list goes on.

Despite that, there is no one way to do content marketing for SaaS. Each SaaS operates in a different market with different customers, pain points, and needs.

As a result, every SaaS’s content marketing strategy will be different.

So rather than prescribe the “best” content marketing strategy you must follow for 20XX, I’d like to share how we’ve done it here at Ahrefs.

Content marketing is our main marketing type. And hopefully, by the end of this guide, you’ll take away some principles, ideas, and tactics you can apply to your own SaaS.

But first, let’s answer some questions.

While the principles are largely the same, there are a few reasons why content marketing can be different for SaaS:

Complexity – Generally speaking, there are more features in software, and this can be daunting to potential and new customers. So SaaS content marketing doesn’t just help improve brand awareness and sales—it’s also an important education channel.
Retention – Since SaaS products are subscription-based, continuous education is required to help customers get the most out of the product to (hopefully) prevent churn.
More decision-makers – SaaS can be expensive, which results in more decision-makers in the buying process. Therefore, SaaS content marketing must address the buying concerns for these people.
More use cases – More features mean more use cases. For example, Ahrefs isn’t just used by SEOs but also by content marketers, affiliate marketers, website owners, and more. We can create content targeting all of them.

No.

Despite its popularity with SaaS companies, it’s not a must. Ultimately, it depends on your company, industry, and set of customers you serve.

In short, you must use the right “hunting strategy” for the right “animal.”

A chart showing which strategy you should use for targeting the right customers

Content marketing is a “Nets” channel, i.e., it lets you pull in a large number of potential targets at once. This is suitable for companies that are targeting deer, mice, and rabbits—metaphors for customers who are paying you around $100–$10,000 per year.

If you’re targeting customers of those categories, content marketing may be a great channel for you.

Sidenote.

This doesn’t mean content marketing won’t work for elephants and flies. Many companies targeting enterprise customers have also succeeded with content marketing.

Learn more: A Simple Way to Build Your Go-to-Market Strategy

The way we do content marketing at Ahrefs is known as product-led content.

Product-led content is about creating content that helps the reader solve their problems with your product. It’s not a hard sell; we’re naturally and strategically weaving our product and its use cases into the narrative.

Here’s how it works.

1. Know your product really well

To create amazing product-led content, you have to know your product inside out.

This seems like an eye-rolling point, but you’d be amazed at how many marketers don’t know their product. That’s because many of them aren’t their own company’s target customers. They’ve probably tried out some features during their onboarding, but they’ve never seriously “eaten their own dog food.”

I admit this was the case for me as well. (Not at Ahrefs, though.)

You should know every feature and use case. You should keep up to date with every new feature your SaaS releases. You should be researching new use cases for existing and new features.

You need to know your product like the back of your hand.

At Ahrefs, we’re lucky we’re our own ideal customers. But we don’t take that for granted. Every new marketing hire works in customer support for three months before officially joining the team. They’re also expected to complete all courses in our academy.

This turns everyone in the marketing team into Ahrefs experts.

2. Know who can benefit from your product

Features need to benefit someone.

So you’ll want to think about who needs your SaaS. And don’t just think about the most direct customer base. You should broaden your horizons.

For example, we’re an all-in-one SEO toolset. While we obviously benefit SEOs, there are also a ton of other people who can use our product, like:

Content marketers
Digital marketers
Affiliate marketers
Agency owners
Freelancers
Website owners
Indie makers
SaaS marketers (like yourself)

And more.

This should be a piece of cake if you’ve done your market research and have your buyer personas on hand. But if you’ve yet to create buyer personas for your SaaS, I highly recommend following the process here.

3. Find topics with search traffic potential

Most people will likely discover your content via search engines. For that reason, you should create content for topics that your target customers are searching for.

Here’s how to find these topics:

Go to Ahrefs’ Keywords Explorer
Enter one or a few keywords that are relevant to the customers you’re targeting (e.g., for Ahrefs, these can be terms like SEO, content marketing, digital marketing, affiliate marketing, etc)
Go to the Matching terms report

The Matching terms report, via Ahrefs' Keywords Explorer

Here, you can see that there are ~2.5 million potential topics you could target. Not only are there too many, but a lot of them are likely also out of your wheelhouse (at least for now).

So we’ll want to narrow down the list using filters. Specifically:

Keyword Difficulty (KD) – KD gives an estimation of how hard it is to rank in the top 10 search results for a keyword. The lower the number, the “easier” it is. While it does depend on your site’s “authority,” you can start with a reasonable number like 20.
Traffic Potential (TP) – TP is the estimated amount of search traffic you can potentially gain if you rank #1 for that topic. We can set it to a minimum of 100 so we can find topics that actually send traffic to your site.

From here, you’ll want to eyeball the list for relevant topics you can cover.

Don’t just look out for topics where you can create articles. Since it’s relatively easier for SaaS companies to create free or limited versions of their existing products, you’ll also want to keep an eye out for opportunities where you can create free tools.

For example, our suite of free tools sends us tons of search traffic each month.

The amount of organic traffic Ahrefs' suite of free tools gets, via Ahrefs' Site Explorer

To find these keywords, use the Include filter to search for words like “tool, tools, calculator, template, templates, checker.”

Searching for tool-related keywords using the Include filter, via Ahrefs' Keywords Explorer

Go through the list and see if there are any free tools you can create.

Learn more: Keyword Research: The Beginner’s Guide by Ahrefs

4. Give the topics you’ve found a “business potential” score

What’s the secret behind creating a piece of product-led content that doesn’t read like a hard sell?

Selecting the right topic.

At Ahrefs, we focus only on topics our product can solve. That way, we don’t look like we’re unnaturally shoehorning our product into the content—we’re simply offering the best solution to the problem.

How do we do this? We look at the topics we’ve found and give each of them a “business potential” score.

Table showing how to assign business potential

By prioritizing topics that score a “2” or “3,” we make sure that mentions of our product are natural.

5. Create product-led content that ranks

Creating product-led content that ranks isn’t simply a case of hunkering down and writing. You’ll need to make sure you’re creating and optimizing content for search engines so it can rank and generate organic traffic.

Here’s how to do it.

A. Match search intent

Search intent is the why behind a query. It’s the reason why someone is searching for something in the first place. Google knows this and tries to rank only the most relevant results.

For example, if we search for “best wireless headphones,” the top-ranking pages are all listicles listing the best wireless headphones of the current year.

Google SERPs for "best wireless headphones"

Figuring out the search intent for your target topics is relatively easy. Just Google the keyword and look out for the three Cs:

Content type – Is the primary type of content a blog post, product page, video, landing page, or something else?
Content format – Is the primary format a how-to guide, listicle, review, opinion piece, news, or something else?
Content angle – Is there a primary angle, such as the current year or content aimed at beginners?

For example, let’s suppose you want to cover the topic “how to save money.”

SERP overview for "how to save money," via Ahrefs' Keywords Explorer

If we analyze the SERPs, here’s what we’ll learn:

Content type – All of the top-ranking pages are blog posts.
Content format – Surprise, surprise! Despite the “how to” modifier, people are actually looking for tips.
Content angle – Simple, proven, and fast are potential angles you could cover.

So it’s likely you’ll have to write a listicle like “XX Simplest Tips to Save More Money.”

B. Cover the topic in full

For certain topics, searchers will be expecting you to cover several important subtopics. If you’re missing them, searchers may think your post is not good enough and bounce.

For example, some of the top-ranking posts for “how to write a press release” include templates:

SERP overview for "how to write a press release," via Ahrefs' Keywords Explorer

It’s a clue that searchers may value posts with templates higher than posts without. So if you’re targeting this topic, you may want to include one.

Here’s how you can find important subtopics to cover:

Look at what the top-ranking pages are covering (especially their subheadings)
Run a content gap analysis

Here’s how you can execute the latter strategy:

Go to Ahrefs’ Content Gap tool (in Ahrefs’ Site Explorer)
Enter a few top-ranking pages for your topic in the top section
Leave the bottom section blank
Hit “Show keywords”
Set the Intersection filter to 3 and 4 targets

For example, here’s how it looks like if we analyze the top-ranking pages for “earned media”:

Looking at the list, we should be covering subtopics like:

What is earned media
Examples of paid media
Earned media examples
Examples of owned media
Earned media strategies

And more.

C. Weave in your product naturally

As you’re creating the content, add your product’s use case wherever natural and possible. This is an art—there’s no perfect way to do this. It comes down to your copywriting skills.

If you need an example of how this is done, you’re reading it. 😉

Just remember: Don’t overdo it. If your product isn’t a good fit, it isn’t a good fit. Don’t shoehorn your product in just because. You want to be confident about what you’re selling—but not to the point where you’re lying.

6. Promote the content

Your content won’t get traction on its own. You’ll have to give it a push. That means you need to promote your content.

Here are a few ways you can do it:

A. Share it with your audience

Email, Twitter, LinkedIn, Instagram, etc. Wherever you have a following, let them know.

Number of backlinks for a blog post, via Ahrefs' Site Explorer

An example of a backlink, via Ahrefs' Site Explorer

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Related Topics:Ahrefs Content Guide Marketing SaaS seo

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SEO

How Compression Can Be Used To Detect Low Quality Pages

Published

5 days ago

October 27, 2024

Max

Compression can be used by search engines to detect low-quality pages. Although not widely known, it's useful foundational knowledge for SEO.

The concept of Compressibility as a quality signal is not widely known, but SEOs should be aware of it. Search engines can use web page compressibility to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords, making it useful knowledge for SEO.

Although the following research paper demonstrates a successful use of on-page features for detecting spam, the deliberate lack of transparency by search engines makes it difficult to say with certainty if search engines are applying this or similar techniques.

What Is Compressibility?

In computing, compressibility refers to how much a file (data) can be reduced in size while retaining essential information, typically to maximize storage space or to allow more data to be transmitted over the Internet.

TL/DR Of Compression

Compression replaces repeated words and phrases with shorter references, reducing the file size by significant margins. Search engines typically compress indexed web pages to maximize storage space, reduce bandwidth, and improve retrieval speed, among other reasons.

This is a simplified explanation of how compression works:

Identify Patterns:
A compression algorithm scans the text to find repeated words, patterns and phrases
Shorter Codes Take Up Less Space:
The codes and symbols use less storage space then the original words and phrases, which results in a smaller file size.
Shorter References Use Less Bits:
The “code” that essentially symbolizes the replaced words and phrases uses less data than the originals.

A bonus effect of using compression is that it can also be used to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords.

Research Paper About Detecting Spam

This research paper is significant because it was authored by distinguished computer scientists known for breakthroughs in AI, distributed computing, information retrieval, and other fields.

Marc Najork

One of the co-authors of the research paper is Marc Najork, a prominent research scientist who currently holds the title of Distinguished Research Scientist at Google DeepMind. He’s a co-author of the papers for TW-BERT, has contributed research for increasing the accuracy of using implicit user feedback like clicks, and worked on creating improved AI-based information retrieval (DSI++: Updating Transformer Memory with New Documents), among many other major breakthroughs in information retrieval.

Dennis Fetterly

Another of the co-authors is Dennis Fetterly, currently a software engineer at Google. He is listed as a co-inventor in a patent for a ranking algorithm that uses links, and is known for his research in distributed computing and information retrieval.

Those are just two of the distinguished researchers listed as co-authors of the 2006 Microsoft research paper about identifying spam through on-page content features. Among the several on-page content features the research paper analyzes is compressibility, which they discovered can be used as a classifier for indicating that a web page is spammy.

Detecting Spam Web Pages Through Content Analysis

Although the research paper was authored in 2006, its findings remain relevant to today.

Then, as now, people attempted to rank hundreds or thousands of location-based web pages that were essentially duplicate content aside from city, region, or state names. Then, as now, SEOs often created web pages for search engines by excessively repeating keywords within titles, meta descriptions, headings, internal anchor text, and within the content to improve rankings.

Section 4.6 of the research paper explains:

“Some search engines give higher weight to pages containing the query keywords several times. For example, for a given query term, a page that contains it ten times may be higher ranked than a page that contains it only once. To take advantage of such engines, some spam pages replicate their content several times in an attempt to rank higher.”

The research paper explains that search engines compress web pages and use the compressed version to reference the original web page. They note that excessive amounts of redundant words results in a higher level of compressibility. So they set about testing if there’s a correlation between a high level of compressibility and spam.

They write:

“Our approach in this section to locating redundant content within a page is to compress the page; to save space and disk time, search engines often compress web pages after indexing them, but before adding them to a page cache.
…We measure the redundancy of web pages by the compression ratio, the size of the uncompressed page divided by the size of the compressed page. We used GZIP …to compress pages, a fast and effective compression algorithm.”

High Compressibility Correlates To Spam

The results of the research showed that web pages with at least a compression ratio of 4.0 tended to be low quality web pages, spam. However, the highest rates of compressibility became less consistent because there were fewer data points, making it harder to interpret.

Figure 9: Prevalence of spam relative to compressibility of page.

The researchers concluded:

“70% of all sampled pages with a compression ratio of at least 4.0 were judged to be spam.”

But they also discovered that using the compression ratio by itself still resulted in false positives, where non-spam pages were incorrectly identified as spam:

“The compression ratio heuristic described in Section 4.6 fared best, correctly identifying 660 (27.9%) of the spam pages in our collection, while misidentifying 2, 068 (12.0%) of all judged pages.
Using all of the aforementioned features, the classification accuracy after the ten-fold cross validation process is encouraging:
95.4% of our judged pages were classified correctly, while 4.6% were classified incorrectly.
More specifically, for the spam class 1, 940 out of the 2, 364 pages, were classified correctly. For the non-spam class, 14, 440 out of the 14,804 pages were classified correctly. Consequently, 788 pages were classified incorrectly.”

The next section describes an interesting discovery about how to increase the accuracy of using on-page signals for identifying spam.

Insight Into Quality Rankings

The research paper examined multiple on-page signals, including compressibility. They discovered that each individual signal (classifier) was able to find some spam but that relying on any one signal on its own resulted in flagging non-spam pages for spam, which are commonly referred to as false positive.

The researchers made an important discovery that everyone interested in SEO should know, which is that using multiple classifiers increased the accuracy of detecting spam and decreased the likelihood of false positives. Just as important, the compressibility signal only identifies one kind of spam but not the full range of spam.

The takeaway is that compressibility is a good way to identify one kind of spam but there are other kinds of spam that aren’t caught with this one signal. Other kinds of spam were not caught with the compressibility signal.

This is the part that every SEO and publisher should be aware of:

“In the previous section, we presented a number of heuristics for assaying spam web pages. That is, we measured several characteristics of web pages, and found ranges of those characteristics which correlated with a page being spam. Nevertheless, when used individually, no technique uncovers most of the spam in our data set without flagging many non-spam pages as spam.
For example, considering the compression ratio heuristic described in Section 4.6, one of our most promising methods, the average probability of spam for ratios of 4.2 and higher is 72%. But only about 1.5% of all pages fall in this range. This number is far below the 13.8% of spam pages that we identified in our data set.”

So, even though compressibility was one of the better signals for identifying spam, it still was unable to uncover the full range of spam within the dataset the researchers used to test the signals.

Combining Multiple Signals

The above results indicated that individual signals of low quality are less accurate. So they tested using multiple signals. What they discovered was that combining multiple on-page signals for detecting spam resulted in a better accuracy rate with less pages misclassified as spam.

The researchers explained that they tested the use of multiple signals:

“One way of combining our heuristic methods is to view the spam detection problem as a classification problem. In this case, we want to create a classification model (or classifier) which, given a web page, will use the page’s features jointly in order to (correctly, we hope) classify it in one of two classes: spam and non-spam.”

These are their conclusions about using multiple signals:

“We have studied various aspects of content-based spam on the web using a real-world data set from the MSNSearch crawler. We have presented a number of heuristic methods for detecting content based spam. Some of our spam detection methods are more effective than others, however when used in isolation our methods may not identify all of the spam pages. For this reason, we combined our spam-detection methods to create a highly accurate C4.5 classifier. Our classifier can correctly identify 86.2% of all spam pages, while flagging very few legitimate pages as spam.”

Key Insight:

Misidentifying “very few legitimate pages as spam” was a significant breakthrough. The important insight that everyone involved with SEO should take away from this is that one signal by itself can result in false positives. Using multiple signals increases the accuracy.

What this means is that SEO tests of isolated ranking or quality signals will not yield reliable results that can be trusted for making strategy or business decisions.

Takeaways

We don’t know for certain if compressibility is used at the search engines but it’s an easy to use signal that combined with others could be used to catch simple kinds of spam like thousands of city name doorway pages with similar content. Yet even if the search engines don’t use this signal, it does show how easy it is to catch that kind of search engine manipulation and that it’s something search engines are well able to handle today.

Here are the key points of this article to keep in mind:

Doorway pages with duplicate content is easy to catch because they compress at a higher ratio than normal web pages.
Groups of web pages with a compression ratio above 4.0 were predominantly spam.
Negative quality signals used by themselves to catch spam can lead to false positives.
In this particular test, they discovered that on-page negative quality signals only catch specific types of spam.
When used alone, the compressibility signal only catches redundancy-type spam, fails to detect other forms of spam, and leads to false positives.
Combing quality signals improves spam detection accuracy and reduces false positives.
Search engines today have a higher accuracy of spam detection with the use of AI like Spam Brain.

Read the research paper, which is linked from the Google Scholar page of Marc Najork:

Detecting spam web pages through content analysis

Featured Image by Shutterstock/pathdoc

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SEO

New Google Trends SEO Documentation

Published

6 days ago

October 27, 2024

Max

Google publishes new documentation for how to use Google Trends for search marketing

Google Search Central published new documentation on Google Trends, explaining how to use it for search marketing. This guide serves as an easy to understand introduction for newcomers and a helpful refresher for experienced search marketers and publishers.

The new guide has six sections:

About Google Trends
Tutorial on monitoring trends
How to do keyword research with the tool
How to prioritize content with Trends data
How to use Google Trends for competitor research
How to use Google Trends for analyzing brand awareness and sentiment

The section about monitoring trends advises there are two kinds of rising trends, general and specific trends, which can be useful for developing content to publish on a site.

Using the Explore tool, you can leave the search box empty and view the current rising trends worldwide or use a drop down menu to focus on trends in a specific country. Users can further filter rising trends by time periods, categories and the type of search. The results show rising trends by topic and by keywords.

To search for specific trends users just need to enter the specific queries and then filter them by country, time, categories and type of search.

The section called Content Calendar describes how to use Google Trends to understand which content topics to prioritize.

Google explains:

“Google Trends can be helpful not only to get ideas on what to write, but also to prioritize when to publish it. To help you better prioritize which topics to focus on, try to find seasonal trends in the data. With that information, you can plan ahead to have high quality content available on your site a little before people are searching for it, so that when they do, your content is ready for them.”

Read the new Google Trends documentation:

Get started with Google Trends

Featured Image by Shutterstock/Luis Molinero

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SEO

All the best things about Ahrefs Evolve 2024

Published

1 week ago

October 25, 2024

Entireweb News Bot

All the best things about Ahrefs Evolve 2024

Hey all, I’m Rebekah and I am your Chosen One to “do a blog post for Ahrefs Evolve 2024”.

What does that entail exactly? I don’t know. In fact, Sam Oh asked me yesterday what the title of this post would be. “Is it like…Ahrefs Evolve 2024: Recap of day 1 and day 2…?”

Even as I nodded, I couldn’t get over how absolutely boring that sounded. So I’m going to do THIS instead: a curation of all the best things YOU loved about Ahrefs’ first conference, lifted directly from X.

Let’s go!

OUR HUGE SCREEN

The largest presentation screen I’ve ever seen! #ahrefsevolve pic.twitter.com/oboiMFW1TN
— Patrick Stox (@patrickstox) October 24, 2024
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This is the biggest presentation screen I ever seen in my life. It’s like iMax for SEO presentations. #ahrefsevolve pic.twitter.com/sAfZ1rtePx
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024

CONFERENCE VENUE ITSELF

It was recently named the best new skyscraper in the world, by the way.

The Ahrefs conference venue feels like being in inception. #AhrefsEvolve pic.twitter.com/18Yjai1Cej
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024

I’m in Singapore for @ahrefs Evolve this week. Keen to connect with people doing interesting work on the future of search / AI #ahrefsevolve pic.twitter.com/s00UkIbxpf
— Alex Denning (@AlexDenning) October 23, 2024

OUR AMAZING SPEAKER LINEUP – SUPER INFORMATIVE, USEFUL TALKS!

A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024

“would I even do this if Google didn’t exist?” – what a great question to assess if you actually have the right focus when creating content amazing presentation from @amandaecking at #AhrefsEvolve pic.twitter.com/a6OKbKxwiS
— Aleyda Solis ️ (@aleyda) October 24, 2024

Attending @CyrusShepard ‘s talk on WTF is Helpful Content in Google’s algorithm at #AhrefsEvolve
“Focus on people first content”
Super relevant for content creators who want to stay ahead of the ever evolving Google search curve! #SEOTalk #SEO pic.twitter.com/KRTL13SB0g

This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
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— Parth Suba (@parthsuba77) October 24, 2024

@thinking_slows thoughts on AI content – “it’s very good if you want to be average”.
We can do a lot better and Ryan explains how. Love it @ahrefs #AhrefsEvolve pic.twitter.com/qFqWs6QBH5
— Andy Chadwick (@digitalquokka) October 24, 2024

A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024

This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
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GREAT MUSIC

First time I’ve ever Shazam’d a track during SEO conference ambience…. and the track wasn’t even Shazamable! #AhrefsEvolve @ahrefs pic.twitter.com/ZDzJOZMILt
— Lily Ray (@lilyraynyc) October 24, 2024

AMAZING GOODIES

Ahrefs Evolveきました！@ahrefs @AhrefsJP #AhrefsEvolve pic.twitter.com/33EiejQPdX
— さくらぎ (@sakuragi_ksy) October 24, 2024

Aside from the very interesting topics, what makes this conference even cooler are the ton of awesome freebies
Kudos for making all of these happen for #AhrefsEvolve @ahrefs team pic.twitter.com/DGzk5FSTN8
— Krista Melgarejo (@kimelgarejo) October 24, 2024
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Content Goblin and SEO alligator party stickers are definitely going on my laptop. @ahrefs #ahrefsevolve pic.twitter.com/QBsBuY5Yix
— Patrick Stox (@patrickstox) October 24, 2024

This is one of the best swag bags I’ve received at any conference!
Either @ahrefs actually cares or the other conference swag bags aren’t up to par w Ahrefs!#AhrefsEvolve pic.twitter.com/Yc9e6wZPHn
— Moses Sanchez (@SanchezMoses) October 25, 2024

SELFIE BATTLE

Some background: Tim and Sam have a challenge going on to see who can take the most number of selfies with all of you. Last I heard, Sam was winning – but there is room for a comeback yet!

Got the rare selfie with both @timsoulo and @samsgoh #AhrefsEvolve
pic.twitter.com/057sBpYPwh
— Bernard Huang (@bernardjhuang) October 24, 2024
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THAT BELL

Everybody’s just waiting for this one.

@timsoulo @ahrefs #AhrefsEvolve pic.twitter.com/6ypWaTGDDP
— Jinbo Liang (@JinboLiang) October 24, 2024

STICKER WALL

Viva la vida, viva Seo!
Awante Argentina loco!#AhrefsEvolve pic.twitter.com/sfhbI2kWSH
— Gaston Riera. (@GastonRiera) October 24, 2024

AND, OF COURSE…ALL OF YOU!

#AhrefsEvolve let’s goooooooooooo!!! pic.twitter.com/THtdvdtUyB
— Tim Soulo (@timsoulo) October 24, 2024

–

There’s a TON more content on LinkedIn – click here – but I have limited time to get this post up and can’t quite figure out how to embed LinkedIn posts so…let’s stop here for now. I’ll keep updating as we go along!

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