Instagram Algorithm Quotes

In the end, blaming social media and the internet for the ways we edit and split may be just another means of hiding from ourselves—a way of denying truths about who we are, about things we struggled with long before Twitter or Instagram. To assign the blame elsewhere and say the fault lies outside of us, with something out there beyond our control. Something in the algorithms, or in the stars.

The set had been styled to look like a quaint New York City apartment, some cool girl’s bedroom. I actually thought it looked familiar. Or maybe it was just that everything had started to look the same, an algorithmically optimized aesthetic that lacked any border or definition so you could move through spaces as frictionlessly as you could scroll through Instagram,

One of Zuckerberg’s least favorite criticisms of Facebook was that it created ideological echo chambers, in which people only engaged with the ideas they wanted to hear. Facebook had already funded research,12 in 2015, to show echo chambers were mathematically not their fault. With the social network, everyone had the potential to engage with whatever kinds of ideas they wanted to, and tended to have at least some Facebook connections with people who held different political opinions. But if people chose not to interact with those they disagreed with, was that really Facebook’s doing? Their algorithm was just showing people what they demonstrated, through their own behavior, they wanted to see, enhancing their existing preferences.

Already, when Facebook bought Instagram, it felt as though the walls of the Internet were closing in a little tighter around us users. The broad expanse of possibility, of messiness, on a network like Geocities or the personal expression of Tumblr was shut down. Digital life became increasingly templated, a set of boxes to fill in rather than a canvas to cover in your own image. (You don’t redesign how your Facebook profile looks; you just change your avatar.) I felt a certain sense of loss, but at first the trade-off of creativity for broadcast reach seemed worthwhile: You could talk to so many people at once on social media! But that exposure became enervating, too, and I missed the previous sense of intimacy, the Internet as a private place—a hideout from real life, rather than the determining force of real life. As the walls closed in, the algorithmic feeds took on more and more influence and authority.

Today’s equivalent is probably ‘get an engineering degree’, but it will not necessarily be as lucrative. A third of Americans who graduated in STEM subjects (science, technology, engineering and maths) are in jobs that do not require any such qualification.52 They must still pay off their student debts. Up and down America there are programmers working as office temps and even fast-food servers. In the age of artificial intelligence, more and more will drift into obsolescence. On the evidence so far, this latest technological revolution is different in its dynamics from earlier ones. In contrast to earlier disruptions, which affected particular sectors of the economy, the effects of today’s revolution are general-purpose. From janitors to surgeons, virtually no jobs will be immune. Whether you are training to be an airline pilot, a retail assistant, a lawyer or a financial trader, labour-saving technology is whittling down your numbers – in some cases drastically so. In 2000, financial services employed 150,000 people in New York. By 2013 that had dropped to 100,000. Over the same period, Wall Street’s profits have soared. Up to 70 per cent of all equity trades are now executed by algorithms.53 Or take social media. In 2006, Google bought YouTube for $1.65 billion. It had sixty-five employees, so the price amounted to $25 million per employee. In 2012 Facebook bought Instagram, which had thirteen employees, for $1 billion. That came to $77 million per employee. In 2014, it bought WhatsApp, with fifty-five employees, for $19 billion, at a staggering $345 million per employee.54 Such riches are little comfort to the thousands of engineers who cannot find work. Facebook’s data servers are now managed by Cyborg, a software program. It requires one human technician for every twenty thousand computers.

Already, when Facebook bought Instagram, it felt as though the walls of the Internet were closing in a little tighter around us users. The broad expanse of possibility, of messiness, on a network like Geocities or the personal expression of Tumblr was shut down. Digital life became increasingly templated, a set of boxes to fill in rather than a canvas to cover in your own image. (You don’t redesign how your Facebook profile looks; you just change your avatar.)

I've swallowed fish-eyes whole like an endoscope. I once ate a trout cooked inside a dolphin. Felt like a shark eating another shark, inside the cold-blooded womb of yet another shark.

Biopolitics is characterized by, 'You should do it!' through excessive exertion of discipline and punishment; psychopolitics is characterized by, 'You could do it!' through the compulsion of psychiatric therapies and excessive positivity; and technopolitics is characterized by, 'You would do it!' through the impulsion of marketing, branding, and selling one’s own digital identity via OnlyFans, Twitch, Instagram, and Twitter because of the allure of infinite digital potential and techno-power to create new virtual realities and live out the life of your dreams albeit synthetic and inauthentic as a means to subjugate the minds and bodies of people to behave certain desirable ways that benefit the techno-states’ algorithmic parameters and intuitively exert coercion and control through techno-discursive and non-discursive formations of knowledge-acquisition and pre-selection of algorithmic feeds that are preordained not to benefit the collective interest of humanity but through the survivability of the company as they demand it so.

PUTTING IT ALL TOGETHER I’ve explained a lot of concepts in this chapter, so I want to recap it all into something a little more tangible. Step #1: The first step is to figure out what type of show you want to have. If you’re a writer, then you should start a blog. If you like video, then you should start a vlog on one of the video platforms. Lastly, if you like audio, then you should start a podcast. Step #2: Your show will be you documenting the process of achieving the same goal that your audience will be striving for. As you’re documenting your process, you’ll be testing your material and paying attention to the things that people respond to. If you commit to publishing your show every day for a year, you’ll have the ability to test your material and find your voice, and your dream customers will be able to find you. Step #3: You’ll leverage your Dream 100 by interviewing them on your show. This will give you the ability to build relationships with them, give them a platform, give you the ability to promote their episode on your show to their audience, and get access to their friends and followers. Step #4: Even though this is your own show, you’re renting time on someone else’s network. It’s important that you don’t forget it and that you focus on converting it into traffic that you own. Figure 7.11: As you create your own show, focus on converting traffic that you earn and control into traffic that you own. And with that, I will close out Section One of this book. So far, we’ve covered a lot of core principles to traffic. We: Identified exactly who your dream client is. Discovered exactly where they are congregating. Talked about how to work your way into those audiences (traffic that you earn) and how you buy your way into those audiences (traffic that you control). Learned how to take all the traffic that you earn and all the traffic that you buy and turn it all into traffic that you own (building your list). Discussed how to plug that list into a follow-up funnel so you can move them through your value ladder. Prepared to infiltrate your Dream 100, find your voice, and build your following by creating your own show. In the next section, we’ll shift our focus to mastering the pattern to get traffic from any advertising networks (like Instagram, Facebook, Google, and YouTube) and how to understand their algorithms so you can get unlimited traffic and leads pouring into your funnels.

But as Facebook became a destination for political conversations, the human curation in “Trending Topics” wasn’t the actual problem. It was how human nature was manipulated by Facebook’s algorithm, and how Facebook looked away, that got the company in trouble.

News organizations had been designing more clickable headlines ever since the social network became key to their distribution. But those news organizations were getting beaten by these new players, who had come up with an easier, more lucrative way to go viral—by making up stories that played on Americans’ hopes and fears, and therefore winning via the Facebook algorithm.

With the social network, everyone had the potential to engage with whatever kinds of ideas they wanted to, and tended to have at least some Facebook connections with people who held different political opinions. But if people chose not to interact with those they disagreed with, was that really Facebook’s doing? Their algorithm was just showing people what they demonstrated, through their own behavior, they wanted to see, enhancing their existing preferences.

My friend Bangaly Kaba, formerly head of growth at Instagram, called this idea the theory of “Adjacent Users.” He describes his experience at Instagram, which several years post-launch was growing fast but not at rocketship speed: When I joined Instagram in 2016, the product had over 400 million users, but the growth rate had slowed. We were growing linearly, not exponentially. For many products, that would be viewed as an amazing success, but for a viral social product like Instagram, linear growth doesn’t cut it. Over the next 3 years, the growth team and I discovered why Instagram had slowed, developed a methodology to diagnose our issues, and solved a series of problems that reignited growth and helped us get to over a billion users by the time I left. Our success was anchored on what I now call The Adjacent User Theory. The Adjacent Users are aware of a product and possibly tried using it, but are not able to successfully become an engaged user. This is typically because the current product positioning or experience has too many barriers to adoption for them. While Instagram had product-market fit for 400+ million people, we discovered new groups of billions of users who didn’t quite understand Instagram and how it fit into their lives.67 In my conversations with Bangaly on this topic, he described his approach as a systematic evaluation of the network of networks that constituted Instagram. Rather than focusing on the core network of Power Users—the loud and vocal minority that often drive product decisions—instead the approach was to constantly figure out the adjacent set of users whose experience was subpar. There might be multiple sets of nonfunctional adjacent networks at any given time, and it might require different approaches to fix each one. For some networks, it might be the features of the product, like Instagram not having great support for low-end Android apps. Or it might be because of the quality of their networks—if the right content creators or celebrities hadn’t yet arrived. You fix the experience for these users, then ask yourself again, who are the adjacent users? Then repeat. Bangaly describes this approach: When I started at Instagram, the Adjacent User was women 35–45 years old in the US who had a Facebook account but didn’t see the value of Instagram. By the time I left Instagram, the Adjacent User was women in Jakarta, on an older 3G Android phone with a prepaid mobile plan. There were probably 8 different types of Adjacent Users that we solved for in-between those two points. To solve for the needs of the Adjacent User, the Instagram team had to be nimble, focusing first on pulling the audience of US women from the Facebook network. This required the team to build algorithmic recommendations that utilized Facebook profiles and connections, so that Instagram could surface friends and family on the platform—not just influencers. Later on, targeting users in Jakarta and in other developing countries might involve completely different approaches—refining apps for low-end Android phones with low data connections. As the Adjacent User changes, the strategy has to change as well.

Tips on Web Design and Site Marketing Web content is king, which is why we have devoted an entire chapter to it later in this book. It is what draws visitors and ultimately what converts them to customers. So, try to make your web content as engaging as possible. Make sure the content is interactive, unique and educational. Ensure that visitors have the option of plugins while encouraging them to visit as many pages on your site as possible if they want to obtain vital information. The images you use on your website should be both enticing and descriptive in nature. In today’s world, social media is all pervasive. In order to encourage visitors to share your web content, you can include icons of social media platforms on your website. In some select cases, consider integrating social media feeds, like Facebook or Instagram, onto your website so that they can automatically show the latest postings. A "Call-to-Action" can help convert visitors to your site into customers. Always try using a very clear and concise "Call-to-Action" language. Understand what type of conversion you are looking for, and try to provide multiple levels of conversion. For example, a plastic surgeon may provide Schedule an Appointment as a call to action, which will attract only the segment of web visitors who have reached their decision stage. By adding conversion points for visitors who are at earlier stages of their decision making, like signing up for a webcast or your newsletter can help you widen your conversion points and provide inputs to your email marketing. To raise the average amount of time a visitor spends on your website and to minimize the bounce rate, ensure that your website offers a user-friendly and attractive design. This way you will increase the number of links you have on your website and boost its SEO ranking (Tip: While Google’s algorithm is not public, our iterative testing shows that sites with good usability analytics metrics like time on site and bounce rate play favorably in Google’s algorithm, other things remaining constant). Ensure you observe due diligence when designing a website that will enable visitors to navigate in different languages. For example, you may need a lot more space for your menu, as there are languages that use up more space than the English language.

When someone subscribes to your list, they’ve opened a direct line of communication. Using the Five Awareness States, this direct line uniquely allows you to nurture and develop a subscriber across all stages of awareness. This is one of the great features unique to email marketing. Remember, email is the only communication channel on the internet that you completely control. No algorithm changes, no policy updates, no platform risk - and potentially fully automated. This is part of the reason terms such as “inbound” and “funnels” are almost synonymous with email. Just try progressing and tracking a potential customer’s Awareness State on a platform like Facebook or Instagram. It will be very difficult, if you’re able to pull it off at all.

And I’m also really, really into the algorithms. Hashtags, shout-outs, geotagging, getting tagged on bigger accounts and on the Instagram Explore page—it’s all about climbing a ladder and getting yourself noticed.

But the sad fact is that most creative individuals are stuck in the algorithm. With thousands of experts' help, the distraction algorithm has created platforms such as Instagram, Facebook, Twitter, etc..

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