SEO
Amazon Product Review Best Practices
Reviews are a fundamental part of buying on Amazon. They have also been one of the areas that have changed the most over the last decade.
As Amazon continues to mature as a marketplace, it has become very sensitive to review manipulation. Using outdated tactics can trigger Amazon to remove most, if not all, of your listings.
Even worse, if you are identified as someone manipulating reviews on Amazon, you could be permanently banned from the platform.
Amazon is stringent about reviews because, in the not-too-distant past, reviews were the primary way to manipulate the Amazon search algorithm to have your product show up at the top of search.
While reviews are still important for marketing your products on Amazon, the best practices around reviews have changed significantly in the last few years.
Many of even the legitimate ways used by sellers to gather reviews have disappeared or can now potentially get your listing flagged.
In this article, we will discuss some of the most critical information when creating a product reviews strategy on Amazon in today’s climate.
Over the last several years, Amazon determined that many practices around soliciting reviews were diminishing the reputation of reviews on its platform.
As a result, significant changes around actively monitoring review manipulation are put in place. It includes changing the regulations around how Amazon can reach out to customers to get reviews and what kind of incentives can be offered.
Amazon has tried to balance giving sellers legitimate ways to get their products reviewed while limiting the amount of fraud around reviews.
Having customers trust Amazon reviews is a top priority to protect how reviews are regarded on the platform.
Fundamentals Of Amazon Product Reviews
The importance of reviews derives from the credibility they provide to your product. They help the customer determine if your product is a good fit and can be trusted to be sufficient in quality.
Reviews, in turn, help your listing conversion and even your ad conversion.
Often, the question most sellers struggle with is this: How many reviews do I need for my product to succeed on Amazon?
The answer to that will largely depend on how commoditized or competitive your product category is.
The more competitive your category, the more reviews your product will need to compete against similar products.
For example, if you launch a mobile phone case, you will compete with other items with 10,000 or more reviews. This shows that to have your reviews provide real credibility to your product, you will need a larger number of reviews.
On the other hand, if your product is very niche, you may only need 5 to 15 reviews to be retail-ready. Amazon recommends at least 15 reviews for a listing before you start scaling advertising.
However, for niche products, Amazon has successfully ramped up advertising with strong performance well before that total number of reviews.
Finally, brand awareness will also impact the role of reviews for your product. For example, an official Lego product will sell well despite no reviews.
This is because there is a much-existing affinity for the brand. That same product will sell better, and ads will convert at a higher return on investment (ROI) once it has established reviews.
However, the product doesn’t need reviews to make the customers feel confident in their purchase.
Reviews should be an important part of your listing optimization strategy. This does not only apply to converting traffic that comes to your listing but also to increasing the amount of traffic that comes from the search engine result page (SERP).
Keep in mind that your product rating score will show up in the SERP as well as in your ads. Additionally, customers can filter their results by average reviews.
While it is common for brands to be concerned with any negative review, know that an occasional negative review can help show buyers that your reviews are authentic. No product has a 100% adoption rate.
You should be proactively working to reduce the number of negative reviews on your products. Do this by ensuring your product detail page is as clear as possible.
You should also be reviewing Voice of the Customer in Seller Central on a weekly basis to identify any potential negative customer experiences before Amazon might suppress your listings.
Voice of the Customer is an important tool to be able to anticipate issues with quality control or even the content of your listing.
You should look at all negative customer experiences (NCX) to see what you can do proactively to avoid future returns and negative reviews.
Voice of the Customer can be found in Seller Central under the Performance tab.
Use Voice of the Customer as part of your Amazon review strategy to help you limit negative reviews on your products. This can also help you avoid Amazon Standard Identification Number (ASIN) restrictions and reduce your overall return rates.
Feedback Vs. Reviews & Ratings
One common point of confusion for new sellers is the difference between feedback and reviews.
“Seller Feedback” refers to the customer’s experience with the seller, not the product itself.
Seller Feedback
Sellers are rated on different factors, such as shipment times, packaging, product accuracy, and significant customer service experiences.
Seller feedback is found on the Seller Central dashboard, the seller store page, and the product detail page by clicking the offers link.
Product Reviews
Product reviews specifically rate whether the product meets the customer’s expectations.
Product reviews are located at the bottom of the detail page, while the total of both reviews and product ratings are displayed at the top of the listing, below the brand name.
It is important to note that it is against Amazon’s terms of service to have family, friends, or employees review your product or a competitor’s product.
Reviews that violate community standards can be flagged for removal. Amazon will only remove reviews that violate the specific conditions outlined in the community guidelines.
Recently, Amazon started allowing customers to provide ratings without giving a review.
It has the same star rating as reviews (one to five) and counts toward your overall customer review totals, but it has no accompanying text. This is why some products might have thousands of stars but only a handful of written reviews.
Programs To Help You Get Legitimate Reviews
Amazon has implemented some tools to help sellers get reviews, especially newcomers to the platform that need those coveted first reviews.
Amazon Vine
Amazon Vine is a program exclusive to those brands enrolled in the Brand Registry Program.
Here is what Amazon says about the Vine program:
“Amazon Vine invites the most trusted reviewers on Amazon to post opinions about new and pre-release items to help their fellow customers make informed purchase decisions. Amazon invites customers to become Vine Voices based on their reviewer rank, which is a reflection of the quality and helpfulness of their reviews as judged by other Amazon customers.
Amazon provides Vine members with free products that have been submitted to the program by participating vendors. Vine reviews are the independent opinions of the Vine Voices. The vendor cannot influence, modify, or edit the reviews. Amazon does not modify or edit Vine reviews, as long as they comply with our posting guidelines. A Vine review is identified with the green stripe Customer review from the Amazon Vine Program.”
Amazon handpicks Vine reviewers due to their expertise and history in reviewing a certain product category, so expect highly detailed and honest reviews.
In this Amazon-coordinated program, you send customers your product, and they give you a review in return.
Before enrolling in the Vine program, you must be confident your product will surprise and delight your customers.
Amazon usually waits until a newly launched product has at least five positive reviews before enrolling in the Amazon Vine Program. This allows the platform to ensure no breakage, quality, or content issues must be addressed.
Amazon Vine reviewers are notoriously detailed and honest.
Negative reviews from a Vine user can be especially detrimental because of the length and detail. However, a glowing review can go a long way in helping to build trust and increase conversion for your products.
The cost for utilizing this program is $200 per parent ASIN. There are also specific requirements for the program, including:
- Be brand registered in Amazon Brand Registry.
- Have fewer than 30 reviews on the product detail page.
- Have a buyable Fulfillment by Amazon (FBA) offer in “New” condition.
- Not be an adult product.
- Have already launched at the time of enrolment.
- Have available inventory.
- Have an image and a description.
Introduction To “Request A Review” Button & Ratings
In 2020, Amazon released a new tool for sellers: A button for each order a customer places within the last 5 to 30 days.
Sellers can now simply click the Request a Review button, and an email is auto-generated and sent to the customer.
As a seller, you click on the button then the buyer will receive an email soliciting a star rating for both the product and the seller.
The email is not customizable, and it is sent to customers by Amazon itself, which helps to avoid the complications of making sure that your wording complies with the terms of service, while still being able to request reviews on all your orders.
Using the Request a Review button can be done with the following steps.
To send your customer a request for a seller and product rating, go to Seller Central > Orders > Manage Orders.
If you are primarily FBA, make sure it says “View Seller Fulfilled Orders.” If it says View FBA orders, click that link.
This allows you to toggle between the fulfillment methods.
Then, find the order you want to request a review for and click on where the order number is displayed.
Then click the Request a Review button.
Several tools on the market now allow to automate this process. It is always important to ensure that the third-party software you use follows Amazon’s terms of service.
Reviews are still vital on Amazon to help you increase conversion rates and lower advertising costs. However, they are no longer the quick-and-easy hack to get the top of the organic results they once were.
As more sellers use this tool, Amazon sees an increase in the number of product ratings without accompanying text.
Soliciting Reviews
Here is what Amazon says about soliciting reviews:
“Solicitations:
If you ask others to post content about your products, keep it neutral. For example, don’t try to influence them into leaving a positive rating or review.
Don’t offer, request, or accept compensation for creating, editing, or posting content. Compensations include free and discounted products, refunds, and reimbursements.
Don’t try to manipulate the Amazon Verified Purchase badge by offering reviewers special pricing or reimbursements.
Have a financial or close personal connection to a brand, seller, author, or artist?
- It’s OK to post content other than reviews and questions and answers, but you need to clearly disclose your connection. However, brands or businesses can’t participate in the community in ways that divert Amazon customers to non-Amazon websites, applications, services, or channels. This includes ads, special offers, and “calls to action” used to conduct marketing or sales transactions. If you post content about your own products or services through a brand, seller, author, or artist account, additional labeling isn’t necessary.
- Authors and publishers can continue to give readers free or discounted copies of their books if they don’t require a review in exchange or try to influence the review.”
It is important to actively reach out to customers to get reviews, but also know that it is better to wait for the reviews to accrue over time rather than trying to cheat the system and have your other reviews removed or, worse, potentially have an account suspension.
This also helps to ensure that customers can feel confident in the authenticity of reviews on Amazon.
While many review services on the market promise to cheat the system to get more reviews, remember that Amazon is aggressively pursuing these companies by closing loopholes and even by using litigation to stop these tactics.
If Amazon catches you using black hat tricks for reviews, it can be very difficult to be reinstated, and you could lose access to the platform as a whole.
Conclusion
For our clients, we find that we can gather enough reviews to obtain customer confidence with the available programs. This includes utilizing Voice of the Customer to avoid negative reviews and strategically organizing variation listings on Amazon to have healthy conversion rates.
As the marketplace grows, Amazon is closing the quick and easy ways to rank; sellers need to learn to develop more strategic launches with products that customers genuinely love.
This has also allowed Amazon to rebuild some of the trust customers have in the reviews on the platform.
Because Amazon is a dynamic and ever-changing ecosystem, it’s essential to regularly check for updates and changes to the terms of service and marketplace guidelines.
Everything in this article is based on the specific state of Amazon Policies at the time it was written.
However, policies can change quickly, so double-check the policies to ensure that what is being recommended here is still the current policy.
More Resources:
Featured Image: Black Salmon/Shutterstock
SEO
How Compression Can Be Used To Detect Low Quality Pages
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
SEO
New Google Trends SEO Documentation
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
SEO
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
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
— 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
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
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
— Bernard Huang (@bernardjhuang) October 24, 2024
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
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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!