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By Neil Patel

Google released a major update. They typically don’t announce their updates, but you know when they do, it is going to be big.

And that’s what happened with the most recent update that they announced.

A lot of people saw their traffic drop. And of course, at the same time, people saw their traffic increase because when one site goes down in rankings another site moves up to take its spot.

Can you guess what happened to my traffic?

Well, based on the title of the post you are probably going to guess that it went up.

Now, let’s see what happened to my search traffic.

My overall traffic has already dipped by roughly 6%. When you look at my organic traffic, you can see that it has dropped by 13.39%.

I know what you are thinking… how did you beat Google’s core update when your traffic went down?

What if I told you that I saw this coming and I came up with a solution and contingency strategy in case my organic search traffic would ever drop?

But before I go into that, let me first break down how it all started and then I will get into how I beat Google’s core update.

A new trend

I’ve been doing SEO for a long time… roughly 18 years now.

When I first started, Google algorithm updates still sucked but they were much more simple. For example, you could get hit hard if you built spammy links or if your content was super thin and provided no value.

Over the years, their algorithm has gotten much more complex. Nowadays, it isn’t about if you are breaking the rules or not. Today, it is about optimizing for user experience and doing what’s best for your visitors.

But that in and of itself is never very clear. How do you know that what you are doing is better for a visitor than your competition?

Honestly, you can never be 100% sure. The only one who actually knows is Google. And it is based on whoever it is they decide to work on coding or adjusting their algorithm.

Years ago, I started to notice a new trend with my search traffic.

Look at the graph above, do you see the trend?

And no, my traffic doesn’t just climb up and to the right. There are a lot of dips in there. But, of course, my rankings eventually started to continually climb because I figured out how to adapt to algorithm updates.

On a side note, if you aren’t sure how to adapt to the latest algorithm update, read this. It will teach you how to recover your traffic… assuming you saw a dip. Or if you need extra help, check out my ad agency.

In many cases after an algorithm update, Google continues to fine-tune and tweak the algorithm. And if you saw a dip when you shouldn’t have, you’ll eventually start recovering.

But even then, there was one big issue. Compared to all of the previous years, I started to feel like I didn’t have control as an SEO anymore back in 2017. I could no longer guarantee my success, even if I did everything correctly.

Now, I am not trying to blame Google… they didn’t do anything wrong. Overall, their algorithm is great and relevant. If it wasn’t, I wouldn’t be using them.

And just like you and me, Google isn’t perfect. They continually adjust and aim to improve. That’s why they do over 3,200 algorithm updates in a year.

But still, even though I love Google, I didn’t like the feeling of being helpless. Because I knew if my traffic took a drastic dip, I would lose a ton of money.

I need that traffic, not only to drive new revenue but, more importantly, to pay my team members. The concept of not being able to pay my team on any given month is scary, especially when your business is bootstrapped.

So what did I do?

I took matters into my own hands

Although I love SEO, and I think I’m pretty decent at it based on my traffic and my track record, I knew I had to come up with another solution that could provide me with sustainable traffic that could still generate leads for my business.

In addition to that, I wanted to find something that wasn’t “paid,” as I was bootstrapping. Just like how SEO was starting to have more ups and downs compared to what I’ve seen in my 18-year career, I knew the cost at paid ads would continually rise.

Just look at Google’s ad revenue. They have some ups and downs every quarter but the overall trend is up and to the right.

In other words, advertising will continually get more expensive over time.

And it’s not just Google either. Facebook Ads keep getting more expensive as well.

I didn’t want to rely on a channel that would cost me more next year and the year after because it could get so expensive that I may not be able to profitably leverage it in the future.

So, what did I do?

I went on a hunt to figure out a way to get direct, referral, and organic traffic that didn’t rely on any algorithm updates. (I will explain what I mean by organic traffic in a bit.)

I went on my mission

With the help of my buddy, Andrew Dumont, I went searching for websites that continually received good traffic even after algorithm updates.

Here were the criteria that we were looking for:

  • Sites that weren’t reliant on Google traffic
  • Sites that didn’t need to continually produce more content to get more traffic
  • Sites that weren’t popular due to social media traffic (we both saw social traffic dying)
  • Sites that didn’t leverage paid ads in the past or present
  • Sites that didn’t leverage marketing

In essence, we were looking for sites that were popular because people naturally liked them. Our intentions at first weren’t to necessarily buy any of these sites. Instead, we were trying to figure out how to naturally become popular so we could replicate it.

Do you know what we figured out?

I’ll give you a hint.

Think of it this way: Google doesn’t get the majority of their traffic from SEO. And Facebook doesn’t get their traffic because they rank everywhere on Google or that people share Facebook.com on the social web.

Do you know how they are naturally popular?

It comes down to building a good product.

That was my aha! moment. Why continually crank out thousands of pieces of content, which isn’t scalable and is a pain as you eventually have to update your old content, when I could just build a product?

That’s when Andrew and I stumbled upon Ubersuggest.

Now the Ubersuggest you see today isn’t what it looked like in February 2017 when I bought it.

It used to be a simple tool that just showed you Google Suggest results based on any query.

Before I took it over, it was generating 117,425 unique visitors per month and had 38,700 backlinks from 8,490 referring domains.

All of this was natural. The original founder didn’t do any marketing. He just built a product and it naturally spread.

The tool did, however, have roughly 43% of its traffic coming from organic search. Now, can you guess what keyword it was?

The term was “Ubersuggest”.

In other words, its organic traffic mainly came from its own brand, which isn’t really reliant on SEO or affected by Google algorithm updates. That’s also what I meant when I talked about organic traffic that wasn’t reliant on Google.

Now since then I’ve gone a bit crazy with Ubersuggest and released loads of new features… from daily rank tracking to a domain analysis and site audit report to a content ideas report and backlinks report.

In other words, I’ve been making it a robust SEO tool that has everything you need and is easy to use.

It’s been so effective that the traffic on Ubersuggest went from 117,425 unique visitors to a whopping 651,436 unique visitors that generates 2,357,927 visits and 13,582,999 pageviews per month.

Best of all, the users are sticky, meaning the average Ubersuggest user spends over 26 minutes on the application each month. This means that they are engaged and will likely to convert into customers.

As I get more aggressive with my Ubersuggest funnel and start collecting leads from it, I expect to receive many more emails like that.

And over the years, I expect the traffic to continually grow.

Best of all, do you know what happens to the traffic on Ubersuggest when my site gets hit by a Google algorithm update or when my content stops going viral on Facebook?

It continually goes up and to the right.

Now, unless you dump a ton of money and time into replicating what I am doing with Ubersuggest, but for your industry, you won’t generate the results I am generating.

As my mom says, I’m kind of crazy…

But that doesn’t mean you can’t do well on a budget.

Back in 2013, I did a test where I released a tool on my old blog Quick Sprout. It was an SEO tool that wasn’t too great and honestly, I probably spent too much money on it.

Here were the stats for the first 4 days of releasing the tool:

  • Day #1: 8,462 people ran 10,766 URLs
  • Day #2: 5,685 people ran 7,241 URLs
  • Day #3: 1,758 people ran 2,264 URLs
  • Day #4: 1,842 people ran 2,291 URLs

Even after the launch traffic died down, still 1,000+ people per day used the tool. And, over time, it actually went up to over 2,000.

It was at that point in my career, I realized that people love tools.

I know what you are thinking though… how do you do this on a budget, right?

How to build tools without hiring developers or spending lots of money

What’s silly is, and I wish I knew this before I built my first tool on Quick Sprout back in the day, there are tools that already exist for every industry.

You don’t have to create something new or hire some expensive developers. You can just use an existing tool on the market.

And if you want to go crazy like me, you can start adding multiple tools to your site… just like how I have an A/B testing calculator.

So how do you add tools without breaking the bank?

You buy them from sites like Code Canyon. From $2 to $50, you can find tools on just about anything. For example, if I wanted an SEO tool, Code Canyon has a ton to choose from. Just look at this one.

Not a bad looking tool that you can have on your website for just $40. You don’t have to pay monthly fees and you don’t need a developer… it’s easy to install and it doesn’t cost much in the grand scheme of things.

And here is the crazy thing: The $40 SEO tool has more features than the Quick Sprout one I built, has a better overall design, and it is .1% the cost.

Only if I knew that before I built it years ago. :/

Look, there are tools out there for every industry. From mortgage calculators to calorie counters to a parking spot finder and even video games that you can add to your site and make your own.

In other words, you don’t have to build something from scratch. There are tools for every industry that already exists and you can buy them for pennies on the dollar.

Conclusion

I love SEO and always will. Heck, even though many SEOs hate how Google does algorithm updates, that doesn’t bother me either… I love Google and they have built a great product.

But if you want to continually do well, you can’t rely on one marketing channel. You need to take an omnichannel approach and leverage as many as possible.

That way, when one goes down, you are still generating traffic.

Now if you want to do really well, think about most of the large companies out there. You don’t build a billion-dollar business from SEO, paid ads, or any other form of marketing. You first need to build an amazing product or service.

So, consider adding tools to your site, the data shows it is more effective than content marketing and it is more scalable.

Sure you probably won’t achieve the results I achieved with Ubersuggest, but you can achieve the results I had with Quick Sprout. And you can achieve better results than what you are currently getting from content marketing.

By Neil Patel

He is the co-founder of Neil Patel Digital. The Wall Street Journal calls him a top influencer on the web, Forbes says he is one of the top 10 marketers, and Entrepreneur Magazine says he created one of the 100 most brilliant companies. Neil is a New York Times bestselling author and was recognized as a top 100 entrepreneur under the age of 30 by President Obama and a top 100 entrepreneur under the age of 35 by the United Nations.

By Jason Aten

With iOS 13 comes a major update that might just convince you to stop using Google for this important task.

It’s one of the most fundamental things people do on their smartphone every day, and for years, even if you were using an iPhone, there’s a pretty good chance you were using Google to do it. Specifically, Google Maps.

Headed to an appointment, pull up directions in Google Maps. Going on vacation? Google Maps. Looking for a store or restaurant in town? Google Maps. Ordering lunch to be delivered? Google Maps does that, too.

Sure, you can do most of those things using Apple’s native Maps app, but for much of the first five years of its existence, you were just as likely to end up being told to turn down a road that doesn’t exist. That’s a big problem for an app whose job is to provide accurate directions from point A to point B.

That’s because Apple Maps was really bad. Apple even admitted it. Not only that, but in addition to apologizing for how bad the app was, it actually recommended using Google Maps instead. So most people did.

So, Apple started rebuilding its app the hard way. Instead of purchasing maps from third-party vendors, which caused problems with updates and data, the company started its own mapping initiative. Like Google, it sent out vehicles to take photographs for street level views of buildings and locations.

And, over time, Apple Maps got better. It still had a long way to go before people were willing to trust it for directions to an important meeting, but it was clear Apple was serious about making Apple Maps the navigation choice for iOS users.

Now that iOS 13 has been released, Apple has started rolling out major improvements it previewed at the company’s Worldwide Developer Conference this summer. That includes a range of features, but the one that users will notice right away is simple–it just looks better. Like, a lot better. Apple has updated the overall interface and added substantially more detail to a wide area of the country, including most of the Northeast and California.

That detail includes far more topographical detail along with new, higher-res images in the “Look Around” feature (think: Google Street View). It also includes greater detail of green space, as well as water features. New integrations with third-party apps like Uber make it easier to book a rideshare, though it still lacks the food ordering capability of Google Maps.

It also lags behind Google in one other important way–it only offers transit directions in 10 major cities, compared to the virtually universal offerings from Google. I’ve used it in New York City, and it works great. In fact, I found it more helpful than Google’s version. I especially liked the real-time arrival information. But in most cities, you’re on your own for now.

Of course, Apple says it’s just starting, with the rest of the U.S. to be updated by the end of the year. That fast pace shows just how seriously Apple wants you to stop using Google Maps.

Apple’s motivation is simple–besides the fact that Maps was a major embarrassment, the company is committed to reducing the ways Google monetizes iOS users. With over one billion devices running iOS, that’s no small amount of money for either company.
And with these updates, Apple Maps is now at least a worthy contender, one the company hopes will finally convince you to tell Google Maps to “get lost.”

Feature Image Credit: Getty Images

By Jason Aten

Sourced from Inc.

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For those who wished they could Google anything and figure out what direction to take for their business, this company provides a solution.

IT Prof. Alex Pentland and  Director of the MIT Media Lab Entrepreneurship Program, named by Forbes as  “one of the world’s 7 most powerful data scientists,” developed a new paradigm for Machine Learning based on AI.

Instead of building a data model for each predictive question, it uses a new social theory of human behavior that predicts future choices through behavioral commonalities. With the interplay of social and the kind of cause of effect interaction associated with physics, naturally enough, he called it Social Physics.

RELATED: INCEPTION: SCIENTISTS HAVE SUCCESSFULLY IMPLANTED AN Artifical MEMORY

What his research demonstrated was that people behave in mathematically predictable ways. Just like physics determines the state of the natural universe, Social Physics governs the human universe.

But this was not just academic knowledge for Pentland.

Pentland was well-versed in real-life business dealings. He served as a founding member of the Scientific Advisory Boards at Google, AT&T, Nissan, and the UN Secretary General for cutting edge technology. On that basis of combining knowledge, skills, experience, and innovation, he created an automated engine that can answer any natural-language question.

That is the cornerstone of the business Pentland cofounded in 2014: Endor. Endor extended Social Physics using proprietary technology into a powerful engine that is able to explain and predict human behavior.

More AI-enabled prediction to arrive at a Google-like capability

Endor enables the automation and democratization of Al and data science, allowing a company to advance from paying a lot for getting the answers to just a limited number of predictive questions each year to affordable and easy access to unlimited answers.

It addresses the problem that has hampered businesses that do not have the deep pockets to fund the data science teams that had been necessary to become truly data-driven and capitalize on the power of predictive analytics. That meant that the power of predicting the future was only within reach of tech-giants who could afford to invest millions of dollars in building their data science resources.

Smaller companies that wanted to be able to direct their business strategy on the basis of predictions had to work off slow, complex, and expensive machine learning solutions. But now the are able the automated AI predictions provided by Endor, which MIT dubbed  the “Google for predictive analytics.”

The same MIT article quotes the other Endor co-founder and its CEO, Dr. Yaniv Altshuler, reinforcing the Google comparison:

“It’s just like Google. You don’t have to spend time thinking, ‘Am I going to spend time asking Google this question?’ You just Google it.”

Altshuler declared, “It’s as simple as that.”

Altshuler has his own list of impressive credentials. He is a recognized expert on Machine Learning, Swarm Intelligence and Data Analysis who has authored over 60 scientific papers and filed 15 patents.

He expressed the great potential in Endor as follows:

“Imagine if you can ask any predictive business question such as ‘Who will complete a transaction tomorrow?’ or ‘Who will upgrade to Premium services in the next week?’ — this is a gamechanger for businesses and enterprises who want to act on their data in a speedy and accurate manner.”

Althshuler is featured in the video below in a conversation with Charles Hoskinson, Senior member of Endor’s Advisory Board about the future of Predictive Analytics:

What it can do for businesses

Endor delivers faster response times,  as no data scientist input, including modeling, coding or data gathering, is called for. It embeds actionable insights into an organization’s workflow by allowing it BI, sales, marketing and all business teams to self-find predictions ‘do-it-yourself’ style

Now Endor makes accurate predictions scalable and accessible to businesses of all sizes (Enterprise to SMB) through proprietary Social Physics technology developed through years of research at MIT (Not through NLP). It enables business users to ask predictive questions, and get automated accurate predictions without having to hire data scientists.

It is particularly convenient for those without data scientist resources to prepare the data.  Endor is agnostic about its use of big data. Even if has not been prepared through cleaning it can be analyzed.

Plus Endor has the industry-first capability to compute on encrypted data without decrypting it. That means that it meets the standards set for global privacy and data security regulations, which should be a major relief for businesses that have to deal with European entities and prove themselves to be GDPR compliant.

Since its founding in 2014, Endor has successfully grown an impressive clientele, including national banks, large Financial Services, and Fortune 500 companies, such as Coca Cola and MasterCard.

Endor is a pioneer in the merging of legacy infrastructure with innovative Blockchain services, thus supporting the transition of its large, Fortune 500 customers, enterprise customers to the Endorprotocol.  The convergence of platforms will ensure a larger pool of aggregate data (new data sources), to the Endor Protocol, which in turn, will work to further increase the accuracy of its predictions.

Above is the HubCulture interview with both  Pentland and Altshuler,

Beyond commercial applications

While it is primarily marketed to businesses, including wholesalers, retailers, and financial institutions, Endor’s technology can also be applied to other goals, including that of national security. MIT reported that it used its analytics for analyzing terrorist threats on the basis of Twitter data:

“Endor was given 15 million data points containing examples of 50 Twitter accounts of identified ISIS activists, based on identifiers in the metadata. From that, they asked the startup to detect 74 with identifiers extremely well hidden in the metadata.”

It only took an Endor employee 24 minutes to identify  80 “lookalike” ISIS accounts, more than half of which were in the pool of 74 well-hidden accounts named by the agency. The efficiency of the system is not just manifested in the relatively short time it took to do the analysis but also in the very low false-positive rate.

What’s in a name?

Endor at World Economic Forum, Davos 2019 – Dr. Yaniv Altshuler Co-Founder & CEO of Endor from Endor on Vimeo.

As the video above clarifies, the company’s name comes from Star Wars. Fans may recall Endor as the home of the cute and furry, pint-sized beings who help the rebels against the Empire forces that went there to build the second Death Star in Return of the Jedi.

Here’s a clip to remind you of the scene at Endor.

The thing is that the name Endor was not actually born out of George Lucas’ imagination. It actually first appears in the Bible in the 28th chapter of the Book of Samuel. That is the account of the witch of Endor whom the king calls on for divination.

In the Bible’s account, King Saul requests that she summon the now-dead prophet Samuel to instruct him on what to do. So really the name Endor is more appropriate for predictive technology because of its original context than for the more geeky-cool Star Wars connection.

 

Feature Image Credit: kentoh/iStock

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Sourced from Interesting Engineering

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  • Google is making another go at a social network.
  • Named Shoelace, the app aims to be a hyperlocal social network for people looking to connect with others (in real life) at events and nearby activities. It sounds a little bit like Nextdoor, the local social network.
  • “The whole premise of Shoelace is to tie people together based on their interests — like two laces on a shoe,” the team says.
  • For now, the Android and iOS versions are invite-only and available only in New York City.
  • Visit Business Insider’s homepage for more stories.

After shutting down Google+ in April, Google is making another go at a social network.

Named Shoelace, the app aims to be a hyperlocal social network for people looking to connect with others (in real life) at events and nearby activities. On its website, the team says, “the whole premise of Shoelace is to tie people together based on their interests — like two laces on a shoe.”

These events — fittingly referred to as “loops” within the app — might include things like playing ping pong at a local bar or watching comedy at an open mic night. The idea seems somewhat like Meetup— get people together who share in common interests and maybe walk away with a new friend, or two.

In fact, on its site, the Shoelace team says the app is great for people who have recently moved to a new city or for those looking to meet people who live nearby, which also makes it seem a little bit like local social networks like Nextdoor.

Screen Shot 2019 07 11 at 10.28.26 AM
Shoelace app
Screenshot / Business Insider

Shoelace is a product of Google’s internal startup incubator, known as Area 120. For now, the Android and iOS versions are invite-only within “select communities” and available only in New York City.

A Google spokesperson told Business Insider on Thursday: “One of the many projects that we’re working on within Area 120 is Shoelace, an app that helps people meet others with similar interests in person through curated activities. Like other projects within Area 120, it’s an early experiment so there aren’t many details to share right now.”

Read more: The 14 biggest product flops in Google history

The tech giant hasn’t necessarily had the strongest track record when building social networks (Orkut, Google Buzz, and Google+ are all defunct), but with Shoelace, the intentions, at least, seem promising. Getting more people to interact with one another offline has become less common in a sea of other social networks.

Get the latest Google stock price here.

Feature Image Credit: Google CEO Sundar Pichai Stephen Lam/Reuters

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Sourced from Business Insider

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Marketers can expect to hear more about responsive search ads (RSAs) and local campaigns next week, along with Smart Shopping Campaigns and Maximize Lift for YouTube.

Responsive search ads automate the creative process by mixing and matching assets to form the best messages and campaigns. Since the launch last year, Google has added reporting and feedback tools to RSA.

Beginning this week, marketers can create and edit RSAs directly from the app.

Some advertisers that have added RSA to their ad groups are seeing up to 10% more clicks per campaign.

In addition to responsive ads and local campaigns, Google teased several other announcements in a blog post published Thursday, such as Smart Shopping Campaigns, and Maximize Lift for YouTube.

Making the most of mobile apps means incorporating recommendations and notifications into campaigns. Google will soon roll out recommendations and notifications to enable marketers to add new or negative keywords, pause poorly performing keywords and opt into all smart-bidding strategies.

Marketers will receive notifications on their mobile app to identify new opportunities to improve the campaign’s performance.

Local campaigns, designed to help marketers drive foot traffic from online into physical stores, will expand to support other local business goals such as getting directions that don’t require store visit measurements. Campaign types will support search, YouTube, Maps, websites and apps.

Earlier adopters are seeing results. About 10 advertisers across several verticals found that local campaigns helped brands drive a median five-times incremental return-on-ad-spend from their business locations.

Dunkin’, for example, uses local campaigns to promote its new store-of-the-future experience and to highlight new beverages such as espresso. The company has increased its monthly visits from Google Ads by more than 400% and plans to run local campaigns as an always-on strategy throughout 2019.

Marketers also can expect new advertising inventory in Google Maps for such campaigns. Local ads, product-specific information and offers may appear when users plan or navigate along a route, based on what a person may have viewed or searched for in the past.

There there’s maximize lift for YouTube, which optimizes performance of YouTube ads for brand lift. It measures the direct impact of YouTube ads on perceptions of a brand.

In the past, Google has offered ways for marketers to optimize campaigns for metrics like views and impressions. With maximize lift, advertisers can tune ad campaigns to drive brand awareness, ad recall, consideration and favourability.

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Sourced from MediaPost

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Google has given the green light to a series of new mobile advertising formats, unveiling image-focused buys for brands.

New arrivals include a ‘gallery’ format for mobile, enabling advertisers to reach users with multiple images and the introduction of ads within the discover feed built into many Android home screens for the first time.

This latter innovation will see ads depicted in the same style as regular stories with a lead image, headline and subject field – differentiated solely by a small ‘ad’ badge.

Each new format is designed to provide greater visibility for advertisers with Google predicting 25% more interactions as a result but at the expense of disrupting some people using core Google services such as search.

Google has been experimenting with ways to improve the visual clout of its advertising for the past year, driven by the knowledge that a more aesthetic approach will command greater levels of engagement.

These changes will be limited solely to mobile service, not desktop, with gallery ads expected to become widely available ‘later this year’.

On the other side of the coin Google has been cracking down on ‘bad ads‘, renoving 2.3bn over 2018 alone.

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Sourced from The Drum

By Meg Prater

In many ways, marketing is a game of trend watching. The marketer who’s best at spotting and using trends earns their business market share, brand recognition, and ultimately, revenue.

But how do you search for trends? And where do you start? Well, since they own about 92% of the global search engine market, the answer to both of these questions is, “Google.”

Click here to get everything you need to get your website ranking in search.

So, let’s look at a few of 2019’s top Google Search statistics and take a deeper dive into the trending searches that guide your marketing strategy.

Top Google Search Statistics in 2019

Now that we know how to search for trending topics, let’s look at how Google influences search with these latest statistics.

1. The top five Google searches in 2018 were “World Cup,” “Hurricane Florence,” “Mac Miller,” “Kate Spade,” and “Anthony Bourdain.” (source: Google)

2. 8% of search queries are phrased as questions. (source: Moz)

3. The typical user crafts searches that are about three words long. (source: Moz)

4. As of February 2018, 62.6% of web users conduct their searches on Google — up from 53% in 2015. (source: SparkToro)

5. 79% of keywords and 47% of keywords in positions 1-20 rank differently on mobile and desktop. (source: BrightEdge)

6. In 2018, Google Images accounted for 22.6% of all internet searches and Google Maps accounted for 13%. (source: SparkToro)

7. Compressing images and text could help 25% of web pages save more than 250KB and 10% save more than 1 MB. These changes reduce bounce rates and increase page rank on Google SERPs. (source: Google)

8. In 2018, Google properties owned over 90% of all searches. (source: SparkToro)

9. In 2017, 50.3% of web traffic took place on mobile phones. (source: Statista)

10. Branded searches have higher click-through rates on the first half of the first page of Google. (source: Internet Marketing Ninjas)

11. The average click-through rate for first position on a Google search query is 19.30% and the click-through rate for second position is almost half at 10.57%. (source: Internet Marketing Ninjas)

12. The average click-through rate for first place on desktop is higher than that of mobile, at 31.52% and 24.05% respectively. (source: Advanced Web Ranking)

13. Four times as many people are likely to click on a paid search ad on Google (63%) than on any other search engine — Amazon (15%), YouTube (9%), and Bing (6%). (source: Clutch)

14. Videos appear in 6.3% of results, but YouTube drew only 1.8% of all search clicks. (source: Moz)

15. 55% of people clicking on Google search ads prefer those to be text ads. (source: Clutch)

16. For every $1 businesses spend on Google Ads, they make an average of $2 in revenue. (source: Google)

17. The average click-through rate in Google Ads across industries is 3.17% in the search network and 0.46% on the display network. (source: WordStream)

18. 66% of distinct Google search queries resulted in one or more clicks. 34% of searches result in no clicks. (source: Moz)

19. The average cost-per-click in AdWords across all industries is $48.96 for search and $75.51 for display. (source: WordStream)

20. 53% of users will abandon a page if it takes more than three seconds to load. (source: Google)

21. 18% of searches lead the searcher to change their query without clicking any results. (source: Moz)

22. The average Google search session is just under one minute. (source: Moz)

23. The average conversion rate in AdWords across all industries is 3.75% for search and 1.77% for display. (source: WordStream)

24. Image blogs appear in 11% of Google results and earn 3% of all Google search clicks. (source: Moz)

25. When Google opened its proverbial doors in September 1998, they only averaged about 10,000 daily search queries. (source: “The Search”)

1. Google Trends

Review the year in search, take Google Trends lessons, and see what’s trending now. You can also view the peaks and valleys of topic interest over time, which uncovers seasonality and allows you to plan your marketing calendar accordingly. Plus, find related topics and queries, and identify sub regions your topic has been trending in to better target your campaigns.

google-trends-statisticsSource: Google Trends

2. Think with Google

Discover articles, benchmark reports, and consumer insights that keep you up to speed on search. From ad bidding strategy to brand jingles, you’ll find interesting content that helps you think bigger while staying educated on how to leverage Google search for your business.

think-with-googleSource: Think with Google

3. Twitter

Sign on to Twitter for more than vaguely hostile political debates. Use the “trends” feature to uncover what’s trending in your state, country, or around the globe. When you click into a trend, you’ll see top tweets about the topic, relevant news stories, and live responses as well.

twitter-trendsSource: Twitter

4. BuzzSumo

Identify the most shared content in the previous 12 months or the last 24 hours. BuzzSumo allows you to drill down and analyze the topics that matter to your industry, your competitors, and the influencers you learn from.

buzzsumo-trendsSource: BuzzSumo

5. Feedly

This RSS feed aggregator allows you to follow your favorite brands and see their most recent content in once place. Add your favorites and discover new publishers by searching your industry, skills, or — you guessed it — trending topics. Feedly also allows you to set up keyword alerts, so you’re always tracking the latest trends on topics you’re interested in.

feedly-google-trendsSource: Feedly

6. Reddit

Freshness and user-based voting determines how content is prioritized on Reddit. A quick visit to the homepage shows you trending or popular posts. And you can filter by country or recency for a more relevant feed.

reddit-popular-trendsSource: Reddit

7. Ahrefs

Conduct competitive research, home in on a keyword, or search for trending topics. Ahrefs helps you identify trending content and shows you what to do to outrank your competitors.

ahrefs-google-search-trendsSource: Ahrefs

8. Pocket

Pocket allows you to save content from anywhere on the web. Review your content whenever you wish and head to the Explore page to find trending topics that are relevant to you.

pocket-popular-searchSource: Pocket

9. Quora

Sign up for Quora and select topic areas that interest you (e.g., “startups,” “marketing,” and “economics”). Quora will stock your feed with questions relating to your content interests. This gives you insight into what your customers are asking, real-time debates about competitors, and even allows you to answer questions about topics you have experience in.

quora-trending-topicsSource: Quora

Want to dig a little deeper into search? Check out this article by HubSpot’s Dharmesh Shah on how to search on Google.

marketing

By Meg Prater

Sourced from HubSpot

Sourced from ELLE

The pilot scheme will compile data that will encourage fashion companies do better.

With the fashion industry’s environmental impact significant and growing, pressure is on brands to rethink their production processes. However, one of the main problems with this is that brands do not have the ability to clearly see and understand the supply chains they are using – there is essentially a gap in data and a lack of clear explanation, and this is where Google comes in.

At the Copenhagen Fashion Summit today, a new pilot scheme will be announced, which aims to give brands a more comprehensive overview of their supply chains, particularly at the level of raw material production, which is where much of the environmental impact takes place. To give you some idea, the fashion industry is responsible for 20 per cent of wastewater and 10 per cent of carbon emissions globally and most of this occurs in the first stage of production.

Google will be developing a tool which uses data analytics and machine learning to compile this information. It will then work with eco-luxury label Stella McCartney – which has been a pioneer in the fashion industry when it comes to environmental impact – to translate the data into meaningful figures that can be shared with the industry, so that brands can take action.

The pilot scheme will begin by looking at cotton and viscose, which have been chosen due to the scale of their production, the availability of data and impact considerations.

The hope is that better visibility for brands will allow them to take action in choosing raw materials and processes which have more sustainable practices in mind. This is just the first stage of the process, with Google hoping to continue to develop further schemes that will help the fashion industry to drastically reduce its impact on our environment.

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Google’s new ad types will give advertisers more prominent placement across its properties.

Google has launched several new ad types that will occupy more space in its key apps on mobile screens.

The new ad types aim to boost the search firm’s mobile revenues amid investor concerns that its revenue per click growth is running out of steam.

Most of Google’s revenue growth now comes from mobile ads, but as ZDNet’s Tom Foremski wondered recently, how many ads can Google show on a mobile screen, and is it running out of places to sell and show more ads?

SEE: IT pro’s guide to the evolution and impact of 5G technology (free PDF)

Google thinks it can create more space and package its existing platforms differently with the new ad formats, Discovery Ads and Gallery ads, while Showcase Shopping ads will get new space on YouTube and the Discover feed.

Visual Discovery ads can be displayed in the YouTube feed and the Google Search app’s Discover feed, while on the Gmail Promotions and Social tabs they’re text-based. Discovery ads are launching globally later this year.

Gallery ads are a visual ad format that will displayed “at the absolute top” of the mobile Search results page.

“We’ve found that, on average, ad groups including one or more gallery ad have up to 25 percent more interactions – paid clicks or swipes – at the absolute top of the mobile Search results page,” said Prabhakar Raghavan, SVP of Google Ads & Commerce.

Showcase Shopping ads already exist today, but now advertisers will be able to display them in new places, including Google Images, the Discover feed, and soon on YouTube.

Besides more space, the company’s new ad products are designed to reach users when they’re not searching for something specific but rather making discoveries while swiping through feeds, such as the YouTube home feed or the Discover feed in the Google Search apps.

SEE: Sensor’d enterprise: IoT, ML, and big data (ZDNet special report) | Download the report as a PDF (TechRepublic)

Raghavan notes that a recent Google-Ipsos study found 76 percent of consumers enjoy making unexpected discoveries when shopping. Part of this experience involves reading reviews and comparing prices online.

Discovery ads are a “new way to reach people”, offering advertisers a way to reach users across multiple products through a single Google Ads automated campaign, Raghavan said.

It’s also giving advertisers more space on Google Maps to promote a business’s location when people are planning a route or en route to a location.

As noted by Search Engine Land, this is the first time ads will appear in the Discover feed. Google claims Discover has 800 million active monthly users.

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Google’s new ad types aim to boost the search firm’s mobile revenues.

Image: Google

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Sourced from ZDNet

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Danyl Mclauchlan stares into the abyss that is Google and wonders if we are about to experience the birth of a new, even more terrifying capitalism.

I feel it most when I’m at the supermarket. I’m standing there looking at jellymeat but at the same time, I’m aware of being embedded in a web of data and analytics. I’m watched by the store’s security system but doubt any human will ever see the footage. I wonder if my presence – my choices, expressions, conversations – is quantised, aggregated into behavioural datasets, auctioned on prediction markets to vendors and consumer research companies, used to optimise product design, packaging and store layout. I sense that my thoughts and feelings are not my own, that they’re mediated by a vast accumulation of psychology and machine learning. I never knew what to call this feeling: it was just a vague sense of powerlessness; a background paranoia. Shoshana Zuboff calls it surveillance capitalism.

Zuboff is a professor emerita of social psychology at Harvard Business School, one of the first tenured women on the faculty. Her book The Age of Surveillance Capitalism: The Fight for the Future at the New Frontier of Power is huge, both in the sense that it’s important; vital; essential; all the superlatives, and also just literally very long, a little over 700 pages. It’s a work of history, telling the story of the tech industry over the last two decades, from the collapse of the dotcom bubble to Silicon Valley’s resurgence and global ascendancy. It’s a work of undercover journalism: she interviewed over 50 tech industry sector data scientists, almost all of them under conditions of confidentiality and anonymity. It’s a work of economic and political and social analysis. Somewhat inexplicably there is also a lot of poetry by WH Auden.

Zuboff begins her story at Google in 2002. The tech bubble had burst. Google had investors but no business model; great search technology but poor revenue streams. There was Google AdWords which displayed advertising adjacent to search results based on keywords. If you typed in, say, ‘pizza Auckland’ and an Auckland based pizza company had paid to link to that result, then you saw their ad. But not many people clicked on the links. Many users of Google and Facebook, and the countless free apps and other ubiquitous forms of surveillance capitalism mistakenly believe that this is still the deal: that you get a free service or product for in exchange for exposure to advertising. This is definitely what we’re supposed to think.

Google’s founders, Sergey Brin and Larry Page, were sceptical of online advertising: it corrupted the purity of the algorithm, and besides, there just wasn’t much money in it. AdWords wasn’t a cool place to work. All of that changed when Google’s investors got nervous because the tech industry was collapsing around them, and at the same time, the ad department figured out how to monetise search histories.

The Age of Surveillance Capitalism by Shoshana Zuboff

Prior to 2002, Google didn’t do anything with your history: it was just surplus data – “digital exhaust” – cached on a server someplace. But while each individual search was near worthless, if they looked at your history in its totality, built up behavioural profiles, binned them with other users, cross-referenced them with metadata, and performed other forms of analysis designed and honed by some of the smartest statisticians and computer scientists on the planet, you could build astonishingly complete pictures of almost everyone who used Google search. And – here’s what’s really crucial – before posting an ad or a link you could make a prediction about whether people would make a purchase subsequent to it being displayed.

If you’re a pizza company and you sell advertising to a newspaper, TV station or billboard company, you’re making a bet that some subset of the audience – probably a microscopic one – will see it and then go out and buy your product, hoping that this will lead to higher profits than the cost of the ad. What Google sells is so much better. They sell the probability that your ad will have value targeted at each individual customer. They can post a link to one person in Auckland located at a precise geographic location searching for pizza on their phone, and they can estimate a 95% probability that it will lead to a purchase, based on everything Google knows about them, which is effectively everything. Now, Google asks, who wants to buy that ad and how much will you bid for it?

Google stopped being a search company in late 2002. After all, it’s just not a very profitable thing to be. Now the search engine is merely one of many tools in a vast supply chain, a global extraction architecture designed to harvest as much information as possible about as many people as possible and to make their predictions about our future behaviour as accurate as possible. They give us Gmail so they can read our mail; Google Maps so they can see where we go, and how we get there; they give away Chrome so they can see everything we do on the internet, especially everything we buy; YouTube records what we watch; licenses for Android, the smartphone operating system are free so they can read all our other messages, track all of the media we consume, listen to our conversations.

The behavioural predictions they build from all this data and analytics are the holy grail of marketing, and because they’re such valuable products Google can sell them to the highest bidder in one of the trillions of simultaneous auctions they run on their futures market. Instead of trading shares, or currency or financial products, Google and their imitators trade predictions about individual behaviour and options to modify that behaviour. This is their real business: their world-changing elaboration of free market capitalism.

It’s a cliche to say of media and tech platforms that the users aren’t the customers – they’re the product. But Zuboff argues that this cliche is no longer true, and it’s the reason tech platforms are so different from the free service or content models adopted by previous iterations of media. Now we – the users – are the raw material. We’re like seabeds being dredged for minerals or forests chopped down for logs, without any awareness that this is happening and no legal or political framework to protect us.

Google’s most aggressive and successful competitor is Facebook. Facebook’s COO, Sheryl Sandberg, a former Google sales executive is credited with duplicating the futures market model. Because Google and Facebook are now two of the most successful companies in the history of capitalism, their model is being widely adopted, metastasising to every other industry: finance, health, insurance, recruitment, retail. Supermarkets. And the behaviour modification is not always commercial. It can be a link or a video or a news story encouraging support for a conspiracy theory, or a policy, political candidate or content designed to alter your mood, typically to make you more angry, anxious or depressed and therefore more vulnerable to future manipulation. Advertising was the beginning of the surveillance project, Zuboff warns, not the end.

Facebook CEO Mark Zuckerberg announces Timeline (Photo by Justin Sullivan/Getty Images).

Back in the 1850s, Karl Marx was still working out his critique of industrial capitalism and he developed a famous model of how to understand complex societies and historical change: the theory of the base and the superstructure. Zuboff is not a Marxist in a political sense – she’s a professor at Harvard Business, after all. She describes herself as a ‘rational capitalist’. but she uses some of the framework and concepts of orthodox Marxism, including the base-superstructure model.

The superstructure is everything we notice when we look at society: all our political systems, our beliefs, our values, our culture, our art, our language, our institutions. This is what is easily seen and what we think is important. But beneath all of this, Marx claimed, is the base: the deep economic and social relations defining the true nature of power in society: it fixes the possibilities and limits of everything that happens in the superstructure. The base is unseen, either because it is deliberately opaque, or because we just take it for granted, or we’re too distracted by events in the superstructure. And when things in the base change, everything up in the superstructure changes  – but it’s hard to see why.

Zuboff argues that behavioural futures are a new form of capital, comparable to shares, property, currency, or financial derivatives. But also profoundly different. Just as the development of industrial capital – mines, factories, machines – drove the industrial revolution and caused the rapid and radical transformation of the world, the emergence of surveillance capital is transforming our society and our lives, but it is complex and fast and hard to see. It’s happening in the base, in other words: it constitutes a change in our social and economic relations.

The nature of that change is the appropriation of our lives. There’s this assumption – in liberal democracies, at least – that our experiences and thoughts and choices are our own. We can trade our labour for money or agree to watch TV in exchange for viewing ads. But the choices and experiences and thoughts belong to us. Surveillance capitalism nullifies that assumption. It appropriates and monetises as much of our lived experience as it can, asserting its ownership then auctioning it off, and it does so in a way that is both aggressive and covert.

This is changing our politics, especially the politics around privacy, because privacy is now inimical to corporate profit. And of course, it’s changing the internet which was supposed to be this democratising, distributed network where we all talk to each other and find out about the world. But the way the information flows is increasingly asymmetric: instead of talking to each other with data routing back and forth, the data flows from us, captured by the sensors in our home, or car, or office, or on our person, to them. And it has to be this way because surveillance capitalism isn’t a company or a group of companies. It’s not a technology and it’s not a platform, although it touches all of these things. At heart, it is an economic logic that asserts that our lives are someone else’s commodity.

 

Google: the most powerful search engine in the world. (Photo: Getty)

It’s impossible not to compare The Age of Surveillance Capitalism with Piketty’s Capital in the Twenty-First Century. They’re both monumental, deep studies of contemporary capitalism. Zuboff’s book is a lot more accessible than Piketty’s, and it’s a lot closer to the sociology literature, Marx especially. Meanwhile, Piketty is scathingly anti-Marxist (I think this has something to do with being an intellectual in France.)

This gives Zuboff a wider perspective. It feels like she’s seeing a lot more and explaining a lot more. But it also means the book is steeped in the apocalyptic rhetoric that’s so ubiquitous in Marxist discourse. There’s no such thing as a moderately serious problem in Marxist analysis: everything is existential. Google and Facebook can’t just be bad actors doing bad things: they’re erasing our humanity and destroying the possibility of the future.

So it’s very disconcerting when Zuboff switches from problems to proposed solutions: she doesn’t want a revolution or to drown the streets of Palo Alto in blood. She wants a more attenuated version of capitalism; sanctuary spaces; more robust privacy. But even the chances of these very modest policy changes feels low. Google, she notes, is one of the most lavish, aggressive and litigious political lobbyists on the planet. She doesn’t spend a lot of time on solutions.

More and more people seem to use the phrase ‘late capitalism’ to describe the savage absurdity of our present moment in history. It’s an ultimately optimistic term. It looks at the world and assumes, very reasonably, that things cannot go on like this: that capitalism itself is in a decadent phase, that it will soon collapse under the weight of its internal contradictions to be replaced with something new and better, although no one knows quite what that is.

Zuboff’s book feels like a harsh and bitter laugh directly in the face of that notion. It tells us to look deeper, past the fashionable scorn for the tech bros of Silicon Valley, and pay attention to what they’re really doing. It shows us that present-day capitalism is horrifyingly robust; that it is being reinvented and renewed by some of the smartest and most ruthless people in the world at a scale, velocity and complexity the rest of us struggle to comprehend.

Maybe it is all just an illusion. Maybe the hour really is late, and capitalism itself will just melt into air. But maybe all these modern manifestations of capitalism – information capitalism, financial capitalism, surveillance capitalism – are different aspects of the same creature, a logic we cannot yet see in its totality. Maybe something vast and unseen is still unfolding itself, gradually awakening; opening its eyes in the automated trading floors and server farms and data warehouses of the world. Maybe the last few centuries of history were merely a transitional phase, a prelude – Precapitalism. Maybe the age of Actual Capitalism has only just begun?

The Age of Surveillance Capitalism: The fight for the future at the new frontier of power by Shoshana Zuboff (Allen & Unwin, $55) is available at Unity Books.

Feature Image Credit: Getty

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