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Please visit Search Engine Land for the full article.
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Today’s roundup is all about various upcoming updates across the WordPress ecosphere. From WordPress itself to Gutenberg, PHP, and WooCommerce. Let’s get started! WordPress wants you to update your PHP If you’ve been following my roundups, you may recall that WordPress is finally bumping its minimum PHP requirement in the upcoming WordPress 5.2 release. I usually […]
The post PHP requirement for WordPress, WooCommerce dashboard and Gutenberg 5.4 appeared first on Yoast.
Why search marketers need call tracking and analytics
Everything marketers need to know about call tracking.
Please visit Search Engine Land for the full article.
How The Internet Happened: From Netscape to the iPhone
Brian McCullough, who runs Internet History Podcast, also wrote a book named How The Internet Happened: From Netscape to the iPhone which did a fantastic job of capturing the ethos of the early web and telling the backstory of so many people & projects behind it’s evolution.
I think the quote which best the magic of the early web is
Jim Clark came from the world of machines and hardware, where development schedules were measured in years—even decades—and where “doing a startup” meant factories, manufacturing, inventory, shipping schedules and the like. But the Mosaic team had stumbled upon something simpler. They had discovered that you could dream up a product, code it, release it to the ether and change the world overnight. Thanks to the Internet, users could download your product, give you feedback on it, and you could release an update, all in the same day. In the web world, development schedules could be measured in weeks.
The part I bolded in the above quote from the book really captures the magic of the Internet & what pulled so many people toward the early web.
The current web – dominated by never-ending feeds & a variety of closed silos – is a big shift from the early days of web comics & other underground cool stuff people created & shared because they thought it was neat.
Many established players missed the actual direction of the web by trying to create something more akin to the web of today before the infrastructure could support it. Many of the “big things” driving web adoption relied heavily on chance luck – combined with a lot of hard work & a willingness to be responsive to feedback & data.
- Even when Marc Andreessen moved to the valley he thought he was late and he had “missed the whole thing,” but he saw the relentless growth of the web & decided making another web browser was the play that made sense at the time.
- Tim Berners-Lee was dismayed when Andreessen’s web browser enabled embedded image support in web documents.
- Early Amazon review features were originally for editorial content from Amazon itself. Bezos originally wanted to launch a broad-based Amazon like it is today, but realized it would be too capital intensive & focused on books off the start so he could sell a known commodity with a long tail. Amazon was initially built off leveraging 2 book distributors ( Ingram and Baker & Taylor) & R. R. Bowker’s Books In Print catalog. They also did clever hacks to meet minimum order requirements like ordering out of stock books as part of their order, so they could only order what customers had purchased.
Amazon employees:
2018 647,500
2017 566,000
2016 341,400
2015 230,800
2014 154,100
2013 117,300
2012 88,400
2011 56,200
2010 33,700
2009 24,300
2008 20,700
2007 17,000
2006 13,900
2005 12,000
2004 9000
2003 7800
2002 7500
2001 7800
2000 9000
1999 7600
1998 2100
1997 614
1996 158— Jon Erlichman (@JonErlichman) April 8, 2019 - eBay began as an /aw/ subfolder on the eBay domain name which was hosted on a residential internet connection. Pierre Omidyar coded the auction service over labor day weekend in 1995. The domain had other sections focused on topics like ebola. It was switched from AuctionWeb to a stand alone site only after the ISP started charging for a business line. It had no formal Paypal integration or anything like that, rather when listings started to charge a commission, merchants would mail physical checks in to pay for the platform share of their sales. Beanie Babies also helped skyrocket platform usage.
- The reason AOL carpet bombed the United States with CDs – at their peak half of all CDs produced were AOL CDs – was their initial response rate was around 10%, a crazy number for untargeted direct mail.
- Priceline was lucky to have survived the bubble as their idea was to spread broadly across other categories beyond travel & they were losing about $30 per airline ticket sold.
- The broader web bubble left behind valuable infrastructure like unused fiber to fuel continued growth long after the bubble popped. The dot com bubble was possible in part because there was a secular bull market in bonds stemming back to the early 1980s & falling debt service payments increased financial leverage and company valuations.
- TED members hissed at Bill Gross when he unveiled GoTo.com, which ranked “search” results based on advertiser bids.
- Excite turned down offering the Google founders $1.6 million for the PageRank technology in part because Larry Page insisted to Excite CEO George Bell ‘If we come to work for Excite, you need to rip out all the Excite technology and replace it with [our] search.’ And, ultimately, that’s—in my recollection—where the deal fell apart.”
- Steve Jobs initially disliked the multi-touch technology that mobile would rely on, one of the early iPhone prototypes had the iPod clickwheel, and Apple was against offering an app store in any form. Steve Jobs so loathed his interactions with the record labels that he did not want to build a phone & first licensed iTunes to Motorola, where they made the horrible ROKR phone. He only ended up building a phone after Cingular / AT&T begged him to.
- Wikipedia was originally launched as a back up feeder site that was to feed into Nupedia.
- Even after Facebook had strong traction, Marc Zuckerberg kept working on other projects like a file sharing service. Facebook’s news feed was publicly hated based on the complaints, but it almost instantly led to a doubling of usage of the site so they never dumped it. After spreading from college to college Facebook struggled to expand ad other businesses & opening registration up to all was a hail mary move to see if it would rekindle growth instead of selling to Yahoo! for a billion dollars.
The book offers a lot of color to many important web related companies.
And many companies which were only briefly mentioned also ran into the same sort of lucky breaks the above companies did. Paypal was heavily reliant on eBay for initial distribution, but even that was something they initially tried to block until it became so obvious they stopped fighting it:
“At some point I sort of quit trying to stop the EBay users and mostly focused on figuring out how to not lose money,” Levchin recalls. … In the late 2000s, almost a decade after it first went public, PayPal was drifting toward obsolescence and consistently alienating the small businesses that paid it to handle their online checkout. Much of the company’s code was being written offshore to cut costs, and the best programmers and designers had fled the company. … PayPal’s conversion rate is lights-out: Eighty-nine percent of the time a customer gets to its checkout page, he makes the purchase. For other online credit and debit card transactions, that number sits at about 50 percent.
Here is a podcast interview of Brian McCullough by Chris Dixon.
How The Internet Happened: From Netscape to the iPhone is a great book well worth a read for anyone interested in the web.
How The Internet Happened: From Netscape to the iPhone
Brian McCullough, who runs Internet History Podcast, also wrote a book named How The Internet Happened: From Netscape to the iPhone which did a fantastic job of capturing the ethos of the early web and telling the backstory of so many people & projects behind it’s evolution.
I think the quote which best the magic of the early web is
Jim Clark came from the world of machines and hardware, where development schedules were measured in years—even decades—and where “doing a startup” meant factories, manufacturing, inventory, shipping schedules and the like. But the Mosaic team had stumbled upon something simpler. They had discovered that you could dream up a product, code it, release it to the ether and change the world overnight. Thanks to the Internet, users could download your product, give you feedback on it, and you could release an update, all in the same day. In the web world, development schedules could be measured in weeks.
The part I bolded in the above quote from the book really captures the magic of the Internet & what pulled so many people toward the early web.
The current web – dominated by never-ending feeds & a variety of closed silos – is a big shift from the early days of web comics & other underground cool stuff people created & shared because they thought it was neat.
Many established players missed the actual direction of the web by trying to create something more akin to the web of today before the infrastructure could support it. Many of the “big things” driving web adoption relied heavily on chance luck – combined with a lot of hard work & a willingness to be responsive to feedback & data.
- Even when Marc Andreessen moved to the valley he thought he was late and he had “missed the whole thing,” but he saw the relentless growth of the web & decided making another web browser was the play that made sense at the time.
- Tim Berners-Lee was dismayed when Andreessen’s web browser enabled embedded image support in web documents.
- Early Amazon review features were originally for editorial content from Amazon itself. Bezos originally wanted to launch a broad-based Amazon like it is today, but realized it would be too capital intensive & focused on books off the start so he could sell a known commodity with a long tail. Amazon was initially built off leveraging 2 book distributors ( Ingram and Baker & Taylor) & R. R. Bowker’s Books In Print catalog. They also did clever hacks to meet minimum order requirements like ordering out of stock books as part of their order, so they could only order what customers had purchased.
- eBay began as an /aw/ subfolder on the eBay domain name which was hosted on a residential internet connection. Pierre Omidyar coded the auction service over labor day weekend in 1995. The domain had other sections focused on topics like ebola. It was switched from AuctionWeb to a stand alone site only after the ISP started charging for a business line. It had no formal Paypal integration or anything like that, rather when listings started to charge a commission, merchants would mail physical checks in to pay for the platform share of their sales. Beanie Babies also helped skyrocket platform usage.
- The reason AOL carpet bombed the United States with CDs – at their peak half of all CDs produced were AOL CDs – was their initial response rate was around 10%, a crazy number for untargeted direct mail.
- Priceline was lucky to have survived the bubble as their idea was to spread broadly across other categories beyond travel & they were losing about $30 per airline ticket sold.
- The broader web bubble left behind valuable infrastructure like unused fiber to fuel continued growth long after the bubble popped. The dot com bubble was possible in part because there was a secular bull market in bonds stemming back to the early 1980s & falling debt service payments increased financial leverage and company valuations.
- TED members hissed at Bill Gross when he unveiled GoTo.com, which ranked “search” results based on advertiser bids.
- Excite turned down offering the Google founders $1.6 million for the PageRank technology in part because Larry Page insisted to Excite CEO George Bell ‘If we come to work for Excite, you need to rip out all the Excite technology and replace it with [our] search.’ And, ultimately, that’s—in my recollection—where the deal fell apart.”
- Steve Jobs initially disliked the multi-touch technology that mobile would rely on, one of the early iPhone prototypes had the iPod clickwheel, and Apple was against offering an app store in any form. Steve Jobs so loathed his interactions with the record labels that he did not want to build a phone & first licensed iTunes to Motorola, where they made the horrible ROKR phone. He only ended up building a phone after Cingular / AT&T begged him to.
- Wikipedia was originally launched as a back up feeder site that was to feed into Nupedia.
- Even after Facebook had strong traction, Marc Zuckerberg kept working on other projects like a file sharing service. Facebook’s news feed was publicly hated based on the complaints, but it almost instantly led to a doubling of usage of the site so they never dumped it. After spreading from college to college Facebook struggled to expand ad other businesses & opening registration up to all was a hail mary move to see if it would rekindle growth instead of selling to Yahoo! for a billion dollars.
The book offers a lot of color to many important web related companies.
And many companies which were only briefly mentioned also ran into the same sort of lucky breaks the above companies did. Paypal was heavily reliant on eBay for initial distribution, but even that was something they initially tried to block until it became so obvious they stopped fighting it:
“At some point I sort of quit trying to stop the EBay users and mostly focused on figuring out how to not lose money,” Levchin recalls. … In the late 2000s, almost a decade after it first went public, PayPal was drifting toward obsolescence and consistently alienating the small businesses that paid it to handle their online checkout. Much of the company’s code was being written offshore to cut costs, and the best programmers and designers had fled the company. … PayPal’s conversion rate is lights-out: Eighty-nine percent of the time a customer gets to its checkout page, he makes the purchase. For other online credit and debit card transactions, that number sits at about 50 percent.
Here is a podcast interview of Brian McCullough by Chris Dixon.
How The Internet Happened: From Netscape to the iPhone is a great book well worth a read for anyone interested in the web.
How to Find Your True Local Competitors
Posted by MiriamEllis
Who are your clients’ true competitors?
It’s a question that’s become harder to answer. What felt like a fairly simple triangulation between Google, brand, and searcher in the early days of the local web has multiplied into a geodesic dome of localization, personalization, intent matching, and other facets.

This evolution from a simple shape to a more complex shape has the local SEO industry starting to understand the need to talk about trends and patterns vs. empirical rankings.
For instance, you might notice that you just can’t deliver client reports that say, “Congratulations, you’re #1” anymore. And that’s because the new reality is that there is no #1 for all searchers. A user on the north side of town may see a completely different local pack of results if they go south, or if they modify their search language. An SEO may get a whole different SERP if they search on one rank checking tool vs. another — or even on the same tool, just five minutes later.
Despite all this, you still need to analyze and report — it remains a core task to audit a client’s competitive landscape.
Today, let’s talk about how we can distill this dynamic, complex environment down to the simplest shapes to understand who your client’s true competitors are. I’ll be sharing a spreadsheet to help you and your clients see the trends and patterns that can create the basis for competitive strategy.
Why are competitive audits necessary…and challenging?
Before we dive into a demo, let’s sync up on what the basic point is of auditing local competitors. Essentially, you’re seeking contrast — you stack up two brands side-by-side to discover the metrics that appear to be making one of them dominant in the local or localized organic SERPs.
From there, you can develop a strategy to emulate the successes of the current winner with the goal of meeting and then surpassing them with superior efforts.
But before you start comparing your brand A to their brand B, you’ve got to know who brand B actually is. What obstacles do you face?
1. SERPs are incredibly diversified
A recent STAT whitepaper that looked at 1.2 million keywords says it all: every SERP is a local SERP. And since both local packs and organic results are both subject to the whims of geo-location and geo-modification, incorporating them into your tracking strategy is a must.

To explain, imagine two searchers are sitting on the same couch. One searches for “Mexican restaurant” and the other searches for “Mexican restaurant near me”. Then, they divvy up searching “Mexican restaurant near me” vs. “Mexican restaurant in San Jose”. And, so on. What they see are local packs that are only about 80 percent similar based on Google recognizing different intents. That’s significant variability.
The scenario gets even more interesting when one of the searchers gets up and travels across town to a different zip code. At that point, the two people making identical queries can see local packs that range from only about 26–65 percent similar. In other words, quite different.
Now, let’s say your client wants to rank for seven key phrases — like “Mexican restaurant,” “Mexican restaurant near me,” “Mexican restaurant San Jose,” “best Mexican restaurant,” “cheap Mexican restaurant,” etc. Your client doesn’t have just three businesses to compete against in the local pack; they now have multiple multiples of three!
2) Even good rank tracking tools can be inconsistent
There are many useful local rank tracking tools out there, and one of the most popular comes to us from BrightLocal. I really like the super easy interface of this tool, but there is a consistency issue with this and other tools I’ve tried, which I’ve captured in a screenshot, below.

Here I’m performing the same search at 5-minute intervals, showing how the reported localized organic ranking of a single business vary widely across time.
The business above appears to move from position 5 to position 12. This illustrates the difficulty of answering the question of who is actually the top competitor when using a tool. My understanding is that this type of variability may result from the use of proxies. If you know of a local rank checker that doesn’t do this, please let our community know in the comments.
In the meantime, what I’ve discovered in my own work is that it’s really hard to find a strong and consistent substitute for manually checking which competitors rank where, on the ground. So, let’s try something out together.
The simplest solution for finding true competitors
Your client owns a Mexican restaurant and has seven main keyword phrases they want to compete for. Follow these five easy steps:
Step 1: Give the client a local pack crash course

If the client doesn’t already know, teach them how to perform a search on Google and recognize what a local pack is. Show them how businesses in the pack rank 1, 2, and 3. If they have more questions about local packs, how they show up in results, and how Google ranks content, they can check out our updated Beginners Guide to SEO.
Step 2: Give the client a spreadsheet and a tiny bit of homework

Give the client a copy of this free spreadsheet, filled out with their most desired keyword phrases. Have them conduct seven searches from a computer located at their place of business* and then fill out the spreadsheet with the names of the three competitors they see for each of the seven phrases. Tell them not to pay attention to any of the other fields of the spreadsheet.
*Be sure the client does this task from their business’ physical location as this is the best way to see what searchers in their area will see in the local results. Why are we doing this? Because Google weights proximity of the searcher-to-the-business so heavily, we have to pretend we’re a searcher at or near the business to emulate Google’s “thought process”.
Step 3: Roll up your sleeves for your part of the work
Now it’s your turn. Look up “directions Google” in Google.

Enter your client’s business address and the address of their first competitor. Write down the distance in the spreadsheet. Repeat for every entry in each of the seven local packs. This will take you approximately 10–15 minutes to cover all 21 locations, so make sure you’re doing it on company time to ensure you’re on the clock.
Step 4: Get measuring
Now, in the 2nd column of the spreadsheet, note down the greatest distance Google appears to be going to fill out the results for each pack.
Step 5: Identify competitors by strength
Finally, rate the competitors by the number of times each one appears across all seven local packs. Your spreadsheet should now look something like this:

Looking at the example sheet above, we’ve learned that:
- Mi Casa and El Juan’s are the dominant competitors in your client’s market, ranking in 4/7 packs. Plaza Azul is also a strong competitor, with a place in 3/7 packs.
- Don Pedro’s and Rubio’s are noteworthy with 2/7 pack appearances.
- All the others make just one pack appearance, making them basic competitors.
- The radius to which Google is willing to expand to find relevant businesses varies significantly, depending on the search term. While they’re having to go just a couple of miles to find competitors for “Mexican restaurant”, they’re forced to go more than 15 miles for a long tail term like “organic Mexican restaurant”.
You now know who the client’s direct competitors are for their most desired searches, and how far Google is willing to go to make up a local pack for each term. You have discovered a pattern of most dominant competition across your client’s top phrases, signaling which players need to be audited to yield clues about which elements are making them so strong.
The pros and cons of the simple search shape
The old song says that it’s a gift to be simple, but there are some drawbacks to my methodology, namely:
- You’ll have to depend on the client to help you out for a few minutes, and some clients are not very good at participation, so you’ll need to convince them of the value of their doing the initial searches for you.
- Manual work is sometimes tedious.
- Scaling this for a multi-location enterprise would be time-consuming.
- Some of your clients are going to be located in large cities and will want to know what competitors are showing up for users across town and in different zip codes. Sometimes, it will be possible to compete with these differently-located competitors, but not always. At any rate, our approach doesn’t cover this scenario and you will be stuck with either using tools (with their known inconsistencies), or sending the client across town to search from that locale. This could quickly become a large chore.
Negatives aside, the positives of this very basic exercise are:
- Instead of tying yourself to the limited vision of a single local pack and a single set of competitors, you are seeing a trend, a pattern of dominant market-wide competitors.
- You will have swiftly arrived at a base set of dominant, strong, and noteworthy competitors to audit, with the above-stated goal of figuring out what’s helping them to win so that you can create a client strategy for emulating and surpassing them.
- Your agency will have created a useful view of your client’s market, understanding the difference between businesses that seem very embedded (like Mi Casa) across multiple packs, vs. those (like Taco Bell) that are only one-offs and could possibly be easier to outpace.
- You may discover some extremely valuable competitive intel for your client. For example, if Google is having to cast a 15-mile net to find an organic Mexican restaurant, what if your client started offering more organic items on their menu, writing more about this and getting more reviews that mention it? This will give Google a new option, right in town, to consider for local pack inclusion.
- It’s really quite fast to do for a single-location business.
- Client buy-in should be a snap for any research they’ve personally helped on, and the spreadsheet should be something they can intuitively and immediately understand.
My questions for you
I’d like to close by asking you some questions about your work doing competitive audits for local businesses. I’d be truly interested in your replies as we all work together to navigate the complex shape of Google’s SERPs:
- What percentage of your clients “get” that Google’s results have become so dynamic, with different competitors being shown for different queries and different packs being based on searcher location? What percentage of your clients are “there yet” with this concept vs. the old idea of just being #1, period?
- I’ve offered you a manual process for getting at trustworthy data on competitors, but as I’ve said, it does take some work. If something could automate this process for you, especially for multi-location clients, would you be interested in hearing more about it?
- How often do you do competitive audits for clients? Monthly? Every six months? Annually?
Thanks for responding, and allow me to wish you and your clients a happy and empowering audit!
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Please visit Search Engine Land for the full article.
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Please visit Search Engine Land for the full article.
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