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The Best Time to Post on Social Media in 2022 [Data from 300+ Marketers]



Social media is one of the best ways to amplify your brand and the great content you’re creating. But it isn’t enough to just post content to social whenever you feel like it – posting at some times performs better than others.

So, what are the best times to post on each social media channel in 2022? We surveyed over 300 social media marketers in the United States and got the answer.

Before we get into the specifics for each platform, it’s important to note that for our survey, we asked respondents to answer in their current time zone – with 38% of respondents located in the Eastern time zone. Keep this in mind as you review the information and see how that is applicable to your brand.

Best Time to Post on Instagram

In 2022, Instagram has surpassed 2 billion monthly users, with most of its base accessing the platform via mobile.

Best Time To Post on Instagram

  • On average, the best times to post on Instagram across industries are in the mid- to late afternoon, specifically between 6 and 9 p.m., 3 and 6 p.m., and 9 and 12 p.m.
  • The best day to post on Instagram is Saturdays. The worst is on Mondays. However, when comparing B2C and B2B brands, the former report Saturdays as the best day while the latter say it’s Friday.
  • The worst times to post are:
    • 6 a.m. to 9 a.m.
    • 9 p.m. to 12 a.m.
    • 12 p.m. to 3 p.m.

One industry that reports a lot of success in the 12-3 p.m. time frame is manufacturing and materials, with 50% surveyed saying it’s the best time to post.

Best Time to Post on Facebook

When it comes to best times to post, marketers report almost identical numbers on Facebook as they do on Instagram.

Best Time To Post on Facebook

  • On average, the best times to post on Facebook across industries are in the mid- to late afternoon, specifically between 6 and 9 p.m., 3 and 6 p.m., and 9 and 12 p.m.
  • The best day to post on Instagram is Saturdays. The worst is on Mondays.
  • The worst times to post are:
    • 6 a.m. to 9 a.m.
    • 9 p.m. to 12 a.m.
    • 12 p.m. to 3 p.m.

Industries that have more success posting early morning are agriculture, food, and beverage brands, with 50% choosing 9 a.m. to 12 p.m. as the best time to post on Facebook. In addition, 100% of marketers surveyed from travel and hospitality brands also chose this time frame.

Best Time to Post on Twitter

This text-based social media platform is known to draw early morning users who use the app to get their news and night owls looking to share their late-night thoughts.

However, the data suggests that the best time to reach users is the afternoon, between noon and 9 p.m.

Best Time To Post on Twitter

  • 27% of marketers surveyed say 6 p.m. to 9 p.m. is the best time to post on the platform, followed by 3 p.m. to 6 p.m., then noon to 3 p.m.
  • Unlike Instagram and Facebook, Friday is the best day to post on the platform.
  • Worst times? Early morning. Specifically 6 a.m. to 12 p.m.

Best Time to Post on LinkedIn

Roughly 28% of U.S. adults use LinkedIn to network and share their professional endeavors. It’s no surprise that it’s the only social platform to report a weekday as one of the top days to post.

Best Time To Post on LinkedIn

  • Aim to post on LinkedIn between 6 – 9 p.m., 3 – 6 p.m., or 12 – 3 p.m.
  • The best day to post is Saturdays, Sundays, and Wednesdays.
  • The lowest-performing days are Mondays and Fridays.

Best Time to Post on Pinterest

  • The best times to post on Pinterest are between 6 p.m. to 9 p.m.
  • The second most popular time is noon to 3 p.m., selected by marketers surveyed in construction, financial services, agriculture, food and beverage, chemicals and metals, consumer product manufacturing, plus travel and hospitality.
  • 22% of B2C brands say Sundays are the best days to post on Pinterest, compared to only 6% of B2B brands. Conversely, only 2% of B2C brands chose Mondays versus 13% of B2B brands.

Best Time to Post on YouTube

Over 80% of U.S. adults use YouTube and data from a 2021 Pew Research study suggests that its reach is growing. So, how can you get the best reach on the platform? Let’s dive in.

Best Time To Post on YouTube

  • Post between 6 p.m. and 9 p.m. (31%), 3 to 6 p.m., and noon to 3 p.m.
  • 25% of marketers surveyed recommend posting on Saturdays while 23% say Friday is the best day to post.
  • Monday through Wednesday are the worst days to post on the platform, along with early mornings from 6 a.m. to 9 a.m.

The most popular time frame for advertising/marketing, electronics, and financial services brands is 3 p.m. to 6 p.m.

Best Time to Post on TikTok

Since 2020, TikTok has become the go-to short-form video platform for Gen-Z and Millennial consumers.

Best Time To Post on TikTok

  • The best times to post are 6 to 9 p.m., 3 to 6 p.m., and 12 to 3 p.m.
  • For B2B brands, Saturdays and Thursdays are the best days to post. For B2C brands, it’s Saturdays and Sundays.
  • Although transportation and financial services brands seem to find success in posting between 6 to 9 a.m., most marketers don’t recommend it.
  • The worst day to post on TikTok is Tuesday, followed by Monday, then Thursday.

Creating an Effective Posting Schedule

Although each social network sees its engagement increase at specific hours and days of the week, you’ll still have to tailor your approach to your audience.

Use this data as a guide if you don’t have enough data yet. Once you start posting regularly and have collected data, review it to determine when your audience is most active on the platform and what posting schedule they respond to the most.

You may find that certain content types work better when posted at certain times. For instance, your videos may perform well when posting in the morning while your images may do better in the late afternoon.

Editor’s note: This post was originally published in 2017, but was updated for comprehensiveness.

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SEO Recap: ChatGPT – Moz



SEO Recap: ChatGPT - Moz

The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

We’re back with another SEO recap with Tom Capper! As you’ve probably noticed, ChatGPT has taken the search world by storm. But does GPT-3 mean the end of SEO as we know it, or are there ways to incorporate the AI model into our daily work?

Tom tries to tackle this question by demonstrating how he plans to use ChatGPT, along with other natural language processing systems, in his own work.

Be sure to check out the commentary on ChatGPT from our other Moz subject matter experts, Dr. Pete Meyers and Miriam Ellis:

Video Transcription

Hello, I’m Tom Capper from Moz, and today I want to talk about how I’m going to use ChatGPT and NLP, natural language processing apps in general in my day-to-day SEO tasks. This has been a big topic recently. I’ve seen a lot of people tweeting about this. Some people saying SEO is dead. This is the beginning of the end. As always, I think that’s maybe a bit too dramatic, but there are some big ways that this can be useful and that this will affect SEOs in their industry I think.

The first question I want to ask is, “Can we use this instead of Google? Are people going to start using NLP-powered assistants instead of search engines in a big way?”

So just being meta here, I asked ChatGPT to write a song about Google’s search results being ruined by an influx of AI content. This is obviously something that Google themselves is really concerned about, right? They talked about it with the helpful content update. Now I think the fact that we can be concerned about AI content ruining search results suggests there might be some problem with an AI-powered search engine, right?

No, AI powered is maybe the wrong term because, obviously, Google themselves are at some degree AI powered, but I mean pure, AI-written results. So for example, I stole this from a tweet and I’ve credited the account below, but if you ask it, “What is the fastest marine mammal,” the fastest marine mammal is the peregrine falcon. That is not a mammal.

Then it mentions the sailfish, which is not a mammal, and marlin, which is not a mammal. This is a particularly bad result. Whereas if I google this, great, that is an example of a fast mammal. We’re at least on the right track. Similarly, if I’m looking for a specific article on a specific web page, I’ve searched Atlantic article about the declining quality of search results, and even though clearly, if you look at the other information that it surfaces, clearly this has consumed some kind of selection of web pages, it’s refusing to acknowledge that here.

Whereas obviously, if I google that, very easy. I can find what I’m looking for straightaway. So yeah, maybe I’m not going to just replace Google with ChatGPT just yet. What about writing copy though? What about I’m fed up of having to manually write blog posts about content that I want to rank for or that I think my audience want to hear about?

So I’m just going to outsource it to a robot. Well, here’s an example. “Write a blog post about the future of NLP in SEO.” Now, at first glance, this looks okay. But actually, when you look a little bit closer, it’s a bluff. It’s vapid. It doesn’t really use any concrete examples.

It doesn’t really read the room. It doesn’t talk about sort of how our industry might be affected more broadly. It just uses some quick tactical examples. It’s not the worst article you could find. I’m sure if you pulled a teenager off the street who knew nothing about this and asked them to write about it, they would probably produce something worse than this.

But on the other hand, if you saw an article on the Moz blog or on another industry credible source, you’d expect something better than this. So yeah, I don’t think that we’re going to be using ChatGPT as our copywriter right away, but there may be some nuance, which I’ll get to in just a bit. What about writing descriptions though?

I thought this was pretty good. “Write a meta description for my Moz blog post about SEO predictions in 2023.” Now I could do a lot better with the query here. I could tell it what my post is going to be about for starters so that it could write a more specific description. But this is already quite good. It’s the right length for a meta description. It covers the bases.

It’s inviting people to click. It makes it sound exciting. This is pretty good. Now you’d obviously want a human to review these for the factual issues we talked about before. But I think a human plus the AI is going to be more effective here than just the human or at least more time efficient. So that’s a potential use case.

What about ideating copy? So I said that the pure ChatGPT written blog post wasn’t great. But one thing I could do is get it to give me a list of subtopics or subheadings that I might want to include in my own post. So here, although it is not the best blog post in the world, it has covered some topics that I might not have thought about.

So I might want to include those in my own post. So instead of asking it “write a blog post about the future of NLP in SEO,” I could say, “Write a bullet point list of ways NLP might affect SEO.” Then I could steal some of those, if I hadn’t thought of them myself, as potential topics that my own ideation had missed. Similarly you could use that as a copywriter’s brief or something like that, again in addition to human participation.

My favorite use case so far though is coding. So personally, I’m not a developer by trade, but often, like many SEOs, I have to interact with SQL, with JavaScript, with Excel, and these kinds of things. That often results in a lot of googling from first principles for someone less experienced in those areas.

Even experienced coders often find themselves falling back to Stack Overflow and this kind of thing. So here’s an example. “Write an SQL query that extracts all the rows from table2 where column A also exists as a row in table1.” So that’s quite complex. I’ve not really made an effort to make that query very easy to understand, but the result is actually pretty good.

It’s a working piece of SQL with an explanation below. This is much quicker than me figuring this out from first principles, and I can take that myself and work it into something good. So again, this is AI plus human rather than just AI or just human being the most effective. I could get a lot of value out of this, and I definitely will. I think in the future, rather than starting by going to Stack Overflow or googling something where I hope to see a Stack Overflow result, I think I would start just by asking here and then work from there.

That’s all. So that’s how I think I’m going to be using ChatGPT in my day-to-day SEO tasks. I’d love to hear what you’ve got planned. Let me know. Thanks.

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What Is a White Paper? [FAQs]



What Is a White Paper? [FAQs]

The definition of a whitepaper varies heavily from industry to industry, which can be a little confusing for marketers looking to create one for their business.

The old-school definition comes from politics, where it means a legislative document explaining and supporting a particular political solution.


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HubSpot to cut around 7% of workforce by end of Q1



HubSpot to cut around 7% of workforce by end of Q1

This afternoon, HubSpot announced it would be making cuts in its workforce during Q1 2023. In a Securities and Exchange Commission filing it put the scale of the cuts at 7%. This would mean losing around 500 employees from its workforce of over 7,000.

The reasons cited were a downward trend in business and a “faster deceleration” than expected following positive growth during the pandemic.

Layoffs follow swift growth. Indeed, the layoffs need to be seen against the background of very rapid growth at the company. The size of the workforce at HubSpot grew over 40% between the end of 2020 and today.

In 2022 it announced a major expansion of its international presence with new operations in Spain and the Netherlands and a plan to expand its Canadian presence in 2023.

Why we care. The current cool down in the martech space, and in tech generally, does need to be seen in the context of startling leaps forward made under pandemic conditions. As the importance of digital marketing and the digital environment in general grew at an unprecedented rate, vendors saw opportunities for growth.

The world is re-adjusting. We may not be seeing a bubble burst, but we are seeing a bubble undergoing some slight but predictable deflation.

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About the author

Kim Davis

Kim Davis is the Editorial Director of MarTech. Born in London, but a New Yorker for over two decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space.

He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020.

Prior to working in tech journalism, Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.

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