Doctor SpinThe PR BlogManaging Social MediaWhy Subscriber Counts Matter Less

Why Subscriber Counts Matter Less

Single content performance trumps creator clout.

Cover photo: @jerrysilfwer

tl:dr;
Subscriber counts matter less and less. Earning trust over time gets the algorithmic backseat, while sensational pieces of content get the royal treatment.

Subscriber counts mat­ter less and less.

If we know where to look, we can see it clearly:

Earning trust over time gets the algorithmic back­seat, while sen­sa­tion­al pieces of con­tent get the roy­al treat­ment. Why is this happening?

Here we go:

Why Subscriber Counts Matter Less

Like many oth­ers inter­ested in pho­to­graphy, I sub­scribe to Canadian con­tent cre­at­or and pho­to­graph­er Peter McKinnon on YouTube. And I’m not alone; 5,55 mil­lion sub­scribers fol­low McKinnon as I write this.

Peter McKinnon
Why won’t YouTube show all of Peter McKinnon’s videos to “his” subscribers?

5,55 mil­lion is a respect­able audi­ence by any measure!

Still, it’s not uncom­mon for McKinnon’s reg­u­lar videos to acquire a few hun­dred thou­sand views. Don’t get me wrong: I’m not say­ing a) that a few hun­dred thou­sand views are noth­ing or b) that we should feel sorry for influencers.

I’m say­ing: A few hun­dred thou­sand views is a lot—but it’s not 5,55 mil­lion.

Instead of basing algorithmic dis­tri­bu­tion on McKinnon’s past per­form­ance (e.g., sub­scriber count, total views earned, etc.), YouTube tests each new video using the single con­tent algorithm.

Single Content Algorithm - Silent Switch - Public Relations
Success through iter­at­ive audi­ence tests.

If McKinnon almost always gets a few hun­dred thou­sand views, his videos typ­ic­ally pass that many iter­at­ive audi­ence tests before hit­ting the “algorithmic wall of bricks” (i.e. IF=failure).

It’s the silent switch.

Now, I appre­ci­ate McKinnon’s con­tent. However, his struggle to earn more views is… his.

In the grander scheme of things, at the level where it affects us all as online media con­sumers, the single con­tent algorithm has one pro­found — and rather ser­i­ous! — implication:

Earning trust over time gets the algorithmic back­seat, while sen­sa­tion­al pieces of con­tent get the roy­al treatment.

Learn more: Why Subscriber Counts Matter Less

The Silent Switch

All social media algorithms are built dif­fer­ently and are con­stantly being developed. At the same time, social media users’ beha­viours are evolving.

Still, there was a way that social media algorithms used to behave—and there is a way that social media algorithms behave now.

This has been a fun­da­ment­al but silent switch.

How Social Media Algorithms Used To Behave

For more than a dec­ade, social media algorithms would deliv­er organ­ic reach accord­ing to a dis­tri­bu­tion that looked some­thing like this:

This dis­tri­bu­tion of organ­ic reach enabled organ­isa­tions to use social media des­pite not being “media companies.”

How Social Media Algorithms Behave Today

Today, after the silent shift, social media algorithms deliv­er organ­ic reach more like this:

The increased com­pet­i­tion and soph­ist­ic­a­tion among con­tent cre­at­ors par­tially explain this new type of dis­tri­bu­tion. However, going vir­al is still just as pos­sible for anyone.

How does this work?

The Single Content Algorithm

How can a social net­work pre­dict what users will like? 

Content from a trus­ted cre­at­or trus­ted by a large com­munity of fol­low­ers used to be the lead­ing indic­at­or of future per­form­ance. But today, social net­works have found a bet­ter way to pre­dict con­tent success.

The single con­tent algorithm = when social net­works demote con­tent cre­at­or author­ity to pro­mote single con­tent per­form­ance to max­im­ise user engage­ment for ad revenue.

The single con­tent algorithm presents newly pub­lished con­tent to a lim­ited audi­ence sample size:

If the newly pub­lished con­tent tests suc­cess­fully, the social media algorithm pushes that con­tent to a slightly lar­ger stat­ist­ic­al sub­set. And so on.

This iter­at­ive pro­cess means that single pieces of con­tent worthy of going vir­al will go vir­al, a) even if it takes a longer time, and b) regard­less of the con­tent cre­at­or’s num­ber of followers.

Learn more: The Silent Switch


Jerry Silfwer - Doctor Spin - Spin Factory - Public Relations

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Jerry Silfwer
Jerry Silfwerhttps://doctorspin.net/
Jerry Silfwer, alias Doctor Spin, is an awarded senior adviser specialising in public relations and digital strategy. Currently CEO at Spin Factory and KIX Communication Index. Before that, he worked at Whispr Group NYC, Springtime PR, and Spotlight PR. Based in Stockholm, Sweden.

The Cover Photo

The cover photo isn't related to public relations obviously; it's just a photo of mine. Think of it as a 'decorative diversion', a subtle reminder that it's good to have hobbies outside work.

The cover photo has

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