How Instagram’s algorithm works

My clients often don’t realize that Facebook, Instagram or Twitter place content directly in front of users eyeballs based on when things are posted.

We live in the “attention” era and you have to not only produce worthwhile content to get noticed but also maintain interest and relationship.

Three main factors determine what you see in your Instagram feed:

Interest: How much Instagram predicts you’ll care about a post, with higher ranking for what matters to you, determined by past behavior on similar content and potentially machine vision analyzing the actual content of the post.

Recency: How recently the post was shared, with prioritization for timely posts over weeks-old ones.

Relationship: How close you are to the person who shared it, with higher ranking for people you’ve interacted with a lot in the past on Instagram, such as by commenting on their posts or being tagged together in photos.

Source: How Instagram’s algorithm works | TechCrunch

Trump blocking Twitter critics is unconstitutional, court decides

What a time to be alive.

It is unconstitutional for public officials, including the president, to block Twitter followers who criticize them, a court ruled today in a legal dispute over President Trump’s account.

— Read on www.theverge.com/2018/5/23/17385298/trump-blocking-twitter-unconstitutional-court-ruling

Focus on Engagement and Newsletters Rather than Likes and Shares

In fact, research shows that there isn’t a high correlation between reading time and social sharing.

As you can see from the graph, the high read time doesn’t translate to shares. Just because someone clicked a share button, it doesn’t mean that they were engaged with the content.

Source: How to Effectively Manage Engagement for Stronger Influence

2018 Social Media Marketing Industry Report by Social Media Examiner

“Nearly all marketers (83%+) who’ve been employing social media marketing for 1 year or longer report it generates exposure for their businesses.”

I’m skeptical of these sorts of reports generally, but SME does a good job of presenting digestible data. There are certainly some good takeaways here for businesses of all sizes, nonprofits, and churches looking to do more with their social media profiles.

The PDF download is free.

In our tenth-annual social media study, more than 5,700 marketers reveal where they’ll focus their social media efforts.

Source: 2018 Social Media Marketing Industry Report : Social Media Examiner

Should I still advertise on Facebook?

Good read about what to do “now” with Facebook advertising…

The Facebook privacy quake has already forced the Facebook to change the way they handle and collect consumer data. That’s changing their advertising platform. And there’s more to come.

Source: Facebook Advertising: What’s Changing, What’s Not, & What To Do

You should blog

Be like the fox who makes more tracks than necessary, some in the wrong direction.

We could say goodbye to the creepy targeted ads and the algorithms, to the Nazis and bots and propagandists, to the harassers and the people selling hate. We could stop being spied-on for profit…

Or we can make the moral choice of renewal, of planting new bulbs and helping this old tree, a little bigger now, flower again.

Our hearts may end up broken. Again.

So?

Source: inessential: weblog

RSS in 2018

There’s so much wrong with this post, but I’ll point out my biggest gripe here… RSS (like podcasting) doesn’t need the metrics of behavior tracking for it to be a success. It’s distributed. It’s not commercialized. It’s not tracked with clicks based on eCPM’s or eCPC’s or brand quality engagement views.

And that’s ok.

It serves a heck of an important purpose.

Let’s all start using RSS readers again, btw. The internet will be a much better space.

RSS’ true failings though are on the publisher side, with the most obvious issue being analytics. RSS doesn’t allow publishers to track user behavior. It’s nearly impossible to get a sense of how many RSS subscribers there are, due to the way that RSS readers cache feeds. No one knows how much time someone reads an article, or whether they opened an article at all. In this way, RSS shares a similar product design problem with podcasting, in that user behavior is essentially a black box.

Source: RSS is undead | TechCrunch

Twitter’s Developer Problem

While Facebook continues to stumble through its public relations crisis over how it has handled developer access to user data, Twitter has been having its own issues with its developer base … just in a self-inflicted manner.

Twitter’ developer problem goes back to its decision to pivot the service into an advertising mechanism back in 2010 as it faced questions about monetization and shareholder returns. It’s simply shocking to me that Twitter executives are still struggling with these same issues 8 years later.

What made Twitter exciting and compelling in 2007 and 2008 was the rapidly expanding developer base that became attracted to the platform because of its rather open API that encouraged a healthy ecosystem of apps that built off of the Twitter coral reef.

So, it’s disappointing to see this struggle continue:

It’s good news that Twitter is backing down, but there are still open questions about whether its new Account Activity API is robust enough for third party Twitter apps to provide the same streaming services they now offer. So far Twitter hasn’t allowed outside developers to participate in the beta testing of that API.

Source: Twitter postpones platform change that would cut off third-party apps – The Verge

Don’t fall for lots of likes and retweets

Also good advice for churches and nonprofits doing social media marketing on a shoestring budget:

Bots manipulate credibility by influencing social signals like the number of aggregated likes or shares a post or user receives. People see a large number of retweets on a post and read it as a genuine signal of authentic traction in the marketplace of ideas. Do not fall for this. Trends are basically over—they’re too easy to manipulate. This goes for any information online that feeds off of public signals, including things like search autocomplete or content recommendation lists. Journalists can no longer rely on information sources reflecting some form of online “popularity.”

Source: The bots beat: How not to get punked by automation – Columbia Journalism Review