SEO
How To Exclude Internal Traffic In Google Analytics 4

Google Analytics 4 (GA4) is rolling out in a rush, and if you’re reading this guide, you might be having a tough time figuring out how it works.
One area that might be causing you confusion is filtering out internal traffic.
If you’re like me, you’re already missing how user-friendly Universal Analytics (UA) was – especially when it came to filtering out traffic.
In UA, you had full control over how you could filter out traffic.
See the beauty it had.
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Screenshot from Google UA, May 2023
Now, I find it hard to understand why GA4 has replaced such a vital function with only an IP-based rule.
The IP-based filter is useless when your company employees are remote as, in most cases, IPs are dynamic, and it is not practical to update the list of IPs daily.
This is why we have created this guide for you to help you filter out undesired traffic – and, most importantly, internal traffic – in GA4.
What Is Internal Traffic?
“Internal traffic” refers to the web traffic that originates from you and your employees accessing your website.
Your employees’ activity can reduce the quality of your data and make it harder for you to understand what real visitors are doing on the website, and how much traffic you have.
Even though IP-based filters may not be the best way to filter our internal traffic, I would like to start with that method as the easiest path to use – and as a basis to explain how new data filters work.
How To Filter Out Traffic Based On IP
Navigate to Data Streams in GA4.
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Screenshot from GA4, May 2023
Go to Configure tag settings, click on the Show all button, and then click on Define Internal Traffic Rule.
On the popup dialog, click the Create button, and you will see a screen where you can enter the IP addresses you want to exclude.
Please note the “traffic_type=internal” parameter in the dialog.
When you create a rule, whenever it applies, it does append to the Google Analytics hits the parameter “tt=internal” which is saved in the GA4 database.
Add data filters by navigating to Data Settings then Data Filters, and clicking Create Filter button.
The basic idea is straightforward: You need to assign a value of your choice to the “traffic_type” parameter and then use data filters to remove any hits that have that same value assigned to the “traffic_type” parameter.
There are two options: The “Developer” filter and the “Internal Traffic” filter.
What Is The Internal Traffic Data Filter?
This filters out any traffic with the traffic_type parameter set to “internal” by default. The value of the parameter and filter name can be anything.
How Does The Internal Traffic Data Filter Work?
For example, you can create an IP filter rule with a parameter traffic_type=europe_headquarters and set a different IP range for your EU office.
You can create as many rules as you want with different traffic_type parameter values, and it will be sent in the hit payload (as tt a parameter) when the visitor IP matches the rule.
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tt parameter in the hit payload
Then, by adding a data filter for each IP rule you’ve created, GA4 will exclude hits when traffic_type the data filter setting value matches the tt parameter of the payload –(tt is simply an abbreviation of “traffic type”).
What Is The Developer Traffic Data Filter?
This filter excludes traffic from developers or internal traffic from a company or organization.
Similarly to the internal traffic data filter, it eliminates only data from being recorded in GA’s database, with the difference that you can still see your activity in the Debug View and its real-time reports.
That is why it is called a developer data filter.
In contrast, you can’t see events from internal traffic in Debug View when internal data filters are active.
How Does The Developer Data Filter Work?
When debug mode is enabled _dbg payload parameter is included in hits.
Then, the developer data filter eliminates all hits with _dbg the parameter being recorded in the GA4 database.
Debug mode parameter is added when using the preview mode of Google Tag Manager, or when Google Analytics Debugger is used.
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_dbg debug view parameter in the payload
Data Filter States
Data filters have three different states:
- Testing.
- Active.
- Inactive.
Active and inactive states are self-explanatory, but you might be wondering what the testing state is.
In the testing mode, you can apply a filter in GA’s reports using the automatically added custom dimension “Test data filter name” equal to your data filter name.
Testing mode is a great feature that allows you to test if your filters work properly before activating them because applying a data filter permanently impacts your data.
It means the data you exclude will not be processed and won’t be accessible in Analytics.
We’ve learned how data filters work by using built-in IP filter rules.
But as I mentioned, this will not work with remote teams – and in that case, it’s better to use a cookie-based approach where you send your team a URL they can open, and their successive visits will be excluded based on the cookies.
How To Exclude Traffic In GA4 By Using Cookies
I want to be honest at the outset: Setting this up requires many steps.
You need to remember the principle.
We need to send the hits with the traffic_type parameter that we’ve set in data filters when creating them.
This means we will set a cookie on employees’ browsers and check every visit. Whenever that cookie is set, we will set the traffic_type parameter to “internal.”
Let’s say we are going to use the exclude_user query parameter.
When employees visit the URL “https://example.com/?exclude_user=1” with the query parameter “exclude_user” set to “1”, a sample cookie exclude_user will be set up.
You can send that URL to your employees to use once to open the website and set up cookies.
Please note: Keeping the names of variables the same is important for the codes below to function, and since client-side set cookies expire in seven days in Safari, your employees may need to open that URL once a week – or you can set cookies when they are logged in to your website server side.
To set up a cookie when one opens the URL https://example.com/?exclude_user=1, we need to add a “custom HTML” tag in GTM with the following script and choose the firing trigger “Pageviews All Pages.”
(Hint: You can use ChatGPT for coding.)
<script> var urlParams = new URLSearchParams(window.location.search); //check if exclude_user query parameter exists and set cookie if (urlParams.has("exclude_user")) { if (urlParams.get("exclude_user") === "1") { set_cookie('exclude_user'); } else { delete_cookie('exclude_user'); } } function set_cookie(cookie_name) { var date = new Date(); date.setTime(date.getTime() + (2 * 365 * 24 * 60 * 60 * 1000)); var expires = "expires=" + date.toUTCString(); document.cookie = cookie_name + "=1; " + expires + "; path=/"; } function delete_cookie(cookie_name) { document.cookie = cookie_name + "=; expires=Thu, 01 Jan 1970 00:00:00 UTC; path=/;"; } </script>
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Custom HTML tag in GTM
Add the “1st Party Cookie” type of variable with the name “Internal Cookie” and set the cookie name setting as exclude_user.
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1st Party Cookie Variable
It will return the value of the exclude_user cookie if it is set, or a special value undefined (not the same as the string “undefined”) if the cookie doesn’t exist.
Add a built-in “Debug Mode” variable named “Debug Mode.”
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Debug mode variable
Create a JavaScript type of variable named “Internal Traffic,” copy and paste the code below into it, and save.
This JavaScript variable will return values “internal” or “developer_view” (could be anything different than “internal”) to be set up for traffic_type parameter.
function getTrackingType() { var developer_mode = {{Debug Mode}}; var urlParams = new URLSearchParams(window.location.search); var excludeUserParam = urlParams.get('exclude_user'); //if exclude_user query parameter exists, override the return value. if( excludeUserParam !== null ){ var filter_type_overrdie = (excludeUserParam === null || excludeUserParam === '1'); //if exclude_user paramter is set don't check cookies if( filter_type_overrdie ){ return 'internal'; }else{ return 'developer_view'; } } var internalCookie = {{Internal Cookie}}; if ( internalCookie === "1" ) { return 'internal'; } if (developer_mode) { return 'developer_view'; } return undefined; }
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GTM JavaScript variable where we set traffic_type parameter value
It will have a different value than the internal, thus our data filter will not be filtering out our developer views, and we can debug our setup while still having an exclude_user cookie setup.
The purpose of this setup is to exclude developers from website visits when they are not testing while still allowing them to perform debugging when necessary because you need to be able to debug the setup occasionally.
Set the traffic_type parameter to populate from the newly created {{Internal Traffic}} variable in your GA4 configuration tag.
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How to setup traffic_type parameter
Preview it in Google Tag Manager (GTM) by opening any URL of your website with the “?exclude_user=1” query string attached, and check that the “traffic_type” parameter is filled in and that the “tt” hit payload parameter is set to “internal.”
You can switch between “internal” and “developer_view” values just by changing the exclude_user query parameter value from 1 to 2.
Once you are sure that the filters work properly and don’t filter out real users’ traffic by mistake, you can activate them from the data filters page, and you are done.
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How to activate data filter in GA4
In case you have a gtag.js implementation, you need to add a traffic_type parameter equal to “internal” to your tag configuration, as shown below.
gtag('set', { 'traffic_type': 'internal' });
For enabling debug mode, I would suggest using the Chrome extension.
But I highly recommend using a GTM setup because it is easier to scale, and on big projects, maintenance will be more cost-effective.
If you like coding, at least you can go hybrid by using GTM and pushing data parameters into the data layer on your website’s custom JavaScript.
Conclusion
I know what you are thinking after reading this guide.
The path to simplicity is overcomplicated – and where it once took seconds, you now must spend days setting up your filters properly.
You may not even have the technical knowledge required to implement the steps described in this guide.
However, here is where I would suggest using ChatGPT to get extra help.
If you need a different filter that requires additional custom coding, you can ask ChatGPT to code for you.
For example, you can ask it to create a JavaScript variable for GTM that returns “internal” when one visits your website from spammy referrals and excludes spam traffic.
The principle is simple: You should set a traffic_type=”some_value” parameter to whatever value you want and exclude any hits which have traffic_type parameter set to that value by using data filters.
I hope in the future, the Google Analytics team will add more granular and user friendly control over how you can filter your traffic, similar to Universal Analytics.
More resources:
Featured Image: Rajat Chamria/Shutterstock
SEO
OpenAI Investigates ‘Lazy’ GPT-4 Complaints On Google Reviews, X

OpenAI, the company that launched ChatGPT a little over a year ago, has recently taken to social media to address concerns regarding the “lazy” performance of GPT-4 on social media and Google Reviews.

This move comes after growing user feedback online, which even includes a one-star review on the company’s Google Reviews.
OpenAI Gives Insight Into Training Chat Models, Performance Evaluations, And A/B Testing
OpenAI, through its @ChatGPTapp Twitter account, detailed the complexities involved in training chat models.


The organization highlighted that the process is not a “clean industrial process” and that variations in training runs can lead to noticeable differences in the AI’s personality, creative style, and political bias.
Thorough AI model testing includes offline evaluation metrics and online A/B tests. The final decision to release a new model is based on a data-driven approach to improve the “real” user experience.
OpenAI’s Google Review Score Affected By GPT-4 Performance, Billing Issues
This explanation comes after weeks of user feedback about GPT-4 becoming worse on social media networks like X.
Idk if anyone else has noticed this, but GPT-4 Turbo performance is significantly worse than GPT-4 standard.
I know it’s in preview right now but it’s significantly worse.
— Max Weinbach (@MaxWinebach) November 8, 2023
There has been discussion if GPT-4 has become “lazy” recently. My anecdotal testing suggests it may be true.
I repeated a sequence of old analyses I did with Code Interpreter. GPT-4 still knows what to do, but keeps telling me to do the work. One step is now many & some are odd. pic.twitter.com/OhGAMtd3Zq
— Ethan Mollick (@emollick) November 28, 2023
Complaints also appeared in OpenAI’s community forums.


The experience led one user to leave a one-star rating for OpenAI via Google Reviews. Other complaints regarded accounts, billing, and the artificial nature of AI.


A recent user on Product Hunt gave OpenAI a rating that also appears to be related to GPT-4 worsening.


GPT-4 isn’t the only issue that local reviewers complain about. On Yelp, OpenAI has a one-star rating for ChatGPT 3.5 performance.
OpenAI is now only 3.8 stars on Google Maps and a dismal 1 star on Yelp!
GPT-4’s degradation has really hurt their rating. Hope the business survives.https://t.co/RF8uJH1WQ5 pic.twitter.com/OghAZLCiVu
— Nate Chan (@nathanwchan) December 9, 2023
The complaint:


In related OpenAI news, the review with the most likes aligns with recent rumors about a volatile workplace, alleging that OpenAI is a “Cutthroat environment. Not friendly. Toxic workers.”


The reviews voted the most helpful on Glassdoor about OpenAI suggested that employee frustration and product development issues stem from the company’s shift in focus on profits.


This incident provides a unique outlook on how customer and employee experiences can impact any business through local reviews and business ratings platforms.


Google SGE Highlights Positive Google Reviews
In addition to occasional complaints, Google reviewers acknowledged the revolutionary impact of OpenAI’s technology on various fields.
The most positive review mentions about the company appear in Google SGE (Search Generative Experience).


Conclusion
OpenAI’s recent insights into training chat models and response to public feedback about GPT-4 performance illustrate AI technology’s dynamic and evolving nature and its impact on those who depend on the AI platform.
Especially the people who just received an invitation to join ChatGPT Plus after being waitlisted while OpenAI paused new subscriptions and upgrades. Or those developing GPTs for the upcoming GPT Store launch.
As AI advances, professionals in these fields must remain agile, informed, and responsive to technological developments and the public’s reception of these advancements.
Featured image: Tada Images/Shutterstock
SEO
ChatGPT Plus Upgrades Paused; Waitlisted Users Receive Invites

ChatGPT Plus subscriptions and upgrades remain paused after a surge in demand for new features created outages.
Some users who signed up for the waitlist have received invites to join ChatGPT Plus.

This has resulted in a few shares of the link that is accessible for everyone. For now.
Found a hack to skip chatGPT plus wait list.
Follow the steps
– login to ChatGPT
– now if you click on upgrade
– Signup for waitlist(may not be necessary)
– now change the URL to https://t.co/4izOdNzarG
– Wallah you are in for payment #ChatGPT4 #hack #GPT4 #GPTPlus pic.twitter.com/J1GizlrOAx— Ashish Mohite is building Notionpack Capture (@_ashishmohite) December 8, 2023
RELATED: GPT Store Set To Launch In 2024 After ‘Unexpected’ Delays
In addition to the invites, signs that more people are getting access to GPTs include an introductory screen popping up on free ChatGPT accounts.


Unfortunately, they still aren’t accessible without a Plus subscription.


You can sign up for the waitlist by clicking on the option to upgrade in the left sidebar of ChatGPT on a desktop browser.


OpenAI also suggests ChatGPT Enterprise for those who need more capabilities, as outlined in the pricing plans below.


Why Are ChatGPT Plus Subscriptions Paused?
According to a post on X by OpenAI’s CEO Sam Altman, the recent surge in usage following the DevDay developers conference has led to capacity challenges, resulting in the decision to pause ChatGPT Plus signups.
we are pausing new ChatGPT Plus sign-ups for a bit 🙁
the surge in usage post devday has exceeded our capacity and we want to make sure everyone has a great experience.
you can still sign-up to be notified within the app when subs reopen.
— Sam Altman (@sama) November 15, 2023
The decision to pause new ChatGPT signups follows a week where OpenAI services – including ChatGPT and the API – experienced a series of outages related to high-demand and DDoS attacks.
Demand for ChatGPT Plus resulted in eBay listings supposedly offering one or more months of the premium subscription.
chatgpt plus accounts selling ebay for a premium 🫡🇺🇸 https://t.co/VdN8tuexKM pic.twitter.com/W522NGHsRV
— surya (@sdand) November 15, 2023
When Will ChatGPT Plus Subscriptions Resume?
So far, we don’t have any official word on when ChatGPT Plus subscriptions will resume. We know the GPT Store is set to open early next year after recent boardroom drama led to “unexpected delays.”
Therefore, we hope that OpenAI will onboard waitlisted users in time to try out all of the GPTs created by OpenAI and community builders.
What Are GPTs?
GPTs allow users to create one or more personalized ChatGPT experiences based on a specific set of instructions, knowledge files, and actions.
Search marketers with ChatGPT Plus can try GPTs for helpful content assessment and learning SEO.
Two SEO GPTs I’ve created for assessment + learning 👀👇
1. Content Helpfulness and Quality SEO Analyzer: Assess a page content helpfulness, relevance, and quality for your targeted query based on Google’s guidelines vs your competitors and get tips: https://t.co/LsoP2UhF4N pic.twitter.com/O77MHiqwOq
— Aleyda Solis 🕊️ (@aleyda) November 12, 2023
2. The https://t.co/IFmKxxVDpW SEO Teacher: A friendly SEO expert teacher who will help you to learn SEO using reliable https://t.co/sCZ03C7fzq resources: https://t.co/UrMPUYwblH
I hope they’re helpful 🙌🤩
PS: Love how GPT opens up to SO much opportunity 🤯 pic.twitter.com/yqKozcZTDc
— Aleyda Solis 🕊️ (@aleyda) November 12, 2023
There are also GPTs for analyzing Google Search Console data.
oh wow. I think this GPT works.
Export data from GSC comparing keyword rankings before and after an update and upload it to ChatGPT and it will spit out this scatter plot for you.
It’s an easy way to see if most of your keyword declined or improved.
This site was impacted by… pic.twitter.com/wFGSnonqoZ
— Marie Haynes (@Marie_Haynes) November 9, 2023
And GPTs that will let you chat with analytics data from 20 platforms, including Google Ads, GA4, and Facebook.
Google search has indexed hundreds of public GPTs. According to an alleged list of GPT statistics in a GitHub repository, DALL-E, the top GPT from OpenAI, has received 5,620,981 visits since its launch last month. Included in the top 20 GPTs is Canva, with 291,349 views.
Weighing The Benefits Of The Pause
Ideally, this means that developers working on building GPTs and using the API should encounter fewer issues (like being unable to save GPT drafts).
But it could also mean a temporary decrease in new users of GPTs since they are only available to Plus subscribers – including the ones I tested for learning about ranking factors and gaining insights on E-E-A-T from Google’s Search Quality Rater Guidelines.


Featured image: Robert Way/Shutterstock
SEO
The Best Times To Post On Social Media In 2024

Marketers worldwide know the importance of having a solid social media marketing strategy – and a key part of this is finding the best times to post on social media.
The old adage ‘timing is everything’ holds especially true in the world of social media, where the difference between a post that fades into obscurity and one that goes viral can often be just a matter of when it was shared.
With an always-growing array of social platforms hosting billions of users worldwide, it has never been more challenging to stand above the noise and make your voice heard on social.
To determine the best times to post on social media in 2024, we reviewed original data from leading social media management tools.
It’s important to note that the data from these sources present a variety of findings and suggestions, which underscore the fact that social media is an ever-evolving landscape. The most crucial thing is understanding the behavior of your own target audience.
Let’s dive in.
The Best Times To Post On Social Media
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday and Wednesday | 9 a.m. – 2 p.m. Local |
Hootsuite | Monday | 12 p.m. EST |
CoSchedule | Friday, Wednesday, and Monday (in that order) | 7 p.m. Local |
- Best times to post on social media: 9 a.m. – 2 p.m.
- Best days to post on social media: Monday and Wednesday.
- Worst days to post on social media: Saturday and Sunday.
Determining an ideal time for posting on social media in general is complicated, as each platform is different, with unique users, features, and communities.
When deciding which social media platforms to focus on, you should think carefully about your brand’s target audience and overarching goals.
If you’re looking to reach a network of professionals, LinkedIn might be a good fit; if your brand is hoping to speak to Gen Z consumers, you might consider TikTok or Snapchat.
This explains why – when analyzing data from Sprout Social, Hootsuite, and CoSchedule on the best overall times to post on social media – we can draw some similarities but also see a variety of recommendations.
Weekdays emerge as a clear winner. CoSchedule and Sprout Social both highlight Wednesday as a good day, with Hootsuite and CoSchedule also highlighting Mondays as a strong day for engagement.
The most common time range among the sources is in the morning to mid-afternoon, with CoSchedule providing some very specific suggestions for post-timing.
Both CoSchedule and Sprout Social agree on avoiding Saturdays and Sundays.
The Best Times To Post On Facebook
Source | Day Of Week | Time To Post |
Sprout Social | Monday to Thursday | 8 a.m. – 1 p.m. Local |
Hootsuite | Monday and Tuesday | 1 p.m. EST |
CoSchedule | Friday, Wednesday, and Monday (in that order) | 9 a.m. Local |
- Best times to post on Facebook: 8 a.m. – 1 p.m.
- Best days to post on Facebook: Weekdays.
- Worst day to post on Facebook: Sunday.
Facebook remains the most used social media platform in the world, with the largest advertising market share (16%).
While it’s experienced a shift in user demographics over recent years – now catering to older users – its popularity continues to climb, and its potential as a brand marketing tool cannot be disputed.
Regarding the best times to post on Facebook, all of our sources agree that weekdays are best. Sprout Social, Hootsuite, and CoSchdule all name Monday as a great day to engage on Facebook, along with calling out various other days of the week.
There is a general consensus that Sundays should be avoided.
The sources vary in their suggestions for optimal time slots, but generally speaking, early to mid-morning seems to be the most popular selection.
The Best Times To Post On YouTube
Source | Day Of Week | Time To Post |
SocialPilot | Sunday | 2-4 p.m. EST |
HubSpot | Friday and Saturday | 6-9 p.m. Local |
- Best times to post on YouTube: 2-4 p.m. on weekdays and 9-11 a.m. on weekends.
- Best days to post on YouTube: Friday, Saturday, and Sunday.
- Worst day to post on YouTube: Tuesday.
As the second most visited site in the world and the second most used social platform globally, YouTube offers an unparalleled opportunity for brands and individuals to connect with audiences through video.
And with its continued expansion – by introducing features like YouTube Shorts, initiatives like expanding the ways creators can get paid on the platform, and its increasing popularity as a search engine – the platform shows no signs of slowing.
YouTube is no longer just a video-sharing site; it’s a robust marketing tool that empowers businesses to raise brand awareness and drive meaningful engagement.
Finding recent data on the best times to post on YouTube proved harder than for some other channels, so these recommendations should be taken with a grain of salt.
While HubSpot suggests Friday and Saturday are the strongest days to publish on YouTube, SocialPilot specifically calls out Sunday as the most engaging day – so it’s worth experimenting with all three.
SocialPilot doesn’t specifically name the worst day, but according to HubSpot, you’d be wise to steer clear of Tuesday.
Both sources suggest the afternoon as an effective time for posting during the week. SocialPilot specifies that publishing in the mornings on weekends (9-11 a.m.) is effective, so this is important to bear in mind.
The Best Times To Post On Instagram
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday and Wednesday | 9 a.m. – 1 p.m. Local |
Hootsuite | Wednesday | 2 p.m. EST |
HubSpot | Saturday | 6-9 p.m. Local |
CoSchedule | Wednesday, Friday, and Tuesday (in that order) |
9 a.m. Local |
Later | Monday | 4 a.m. Local |
- Best times to post on Instagram: 8 a.m. to 1 p.m.
- Best day to post on Instagram: Wednesday.
- Worst day to post on Instagram: Sunday.
From its origins as a photo-sharing platform, Instagram has evolved into one of the most popular social media networks in the world – and an indispensable marketing tool.
With billions of users – 90% of whom are following at least one business – Instagram has become a powerful engine for ecommerce, brand awareness, and community-building.
As a leader in the social media space, Instagram constantly provides new formats and features for users to try out – from Reels to Stories, user quizzes and polls, and more.
We consulted a handful of sources to determine the top posting times for Instagram and came away with a mixed bag of answers.
Wednesday appears to take the cake as the most consistently recommended day, with CoSchedule, Sprout Social, and Hootsuite all suggesting it.
Generally, our sources seem to lean towards weekdays as being strongest for Instagram engagement – with the exception of HubSpot, which recommends Saturday.
In terms of timing, the morning to midday hours seem to be your best bet, especially around 8 a.m. through 1 p.m. HubSpot and Later provide times that significantly differ from other sources, which suggests that effectiveness can vary based on audience and content type.
The Best Times To Post On TikTok
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday and Wednesday | 2-6 p.m. Local |
Hootsuite | Thursday | 10 p.m. EST |
SocialPilot | Tuesday and Thursday | 2 a.m. and 9 a.m. EST |
HubSpot | Friday | 6-9 p.m. Local |
- Best time to post on TikTok: Inconclusive.
- Best day to post on TikTok: Tuesday.
- Worst day to post on TikTok: Inconclusive.
While it’s a relative newcomer to the fold, TikTok has quickly become one of the most beloved social platforms worldwide – and is drawing brands in increasing numbers.
With the average user spending nearly 54 minutes on the app daily, it’s hard to beat the hold that TikTok has among audiences. By optimizing your presence there, you can stand to generate some impressive returns on your marketing efforts.
So, what’s the best time to post on TikTok? The jury is out on this one – and it may take extra experimentation on your part to find the sweet spot that engages your audience.
Tuesday seems to rise to the top among the sources we consulted, with Wednesdays and Thursdays also getting recommendations. Generally speaking, it looks like midweek is a good time to test out your TikTok content, but there are plenty of discrepancies in the data.
While HubSpot named Friday as the best day, it also highlighted that Saturdays and Thursdays are strong for B2B brands, and Saturdays and Sundays work well for B2C brands.
Sprout Social found Sunday to be the worst performing day, while Monday and Tuesday are the worst days, according to HubSpot.
We also find a mix of recommended time slots, from early morning to mid-afternoon and also evening being suggested.
The Best Times To Post On Snapchat
Snapchat, the pioneer of ephemeral social media content (and the inspiration behind Instagram Stories), provides unique opportunities to reach younger demographics.
It differs from other platforms in how it works and the type of content that engages there. Snapchat typically centers around showcasing real-time experiences and authentic behind-the-scenes content versus polished marketing content.
This makes Snapchat an advantageous yet often underutilized tool in digital marketing. But it should not be overlooked, especially given that the platform continues to innovate.
While we have seen 10 a.m. – 1 p.m. cited as the best times to post on Snapchat in various secondary sources around the internet, we have found no recent original data to either confirm or refute this.
Given this, we would recommend testing out different times and days based on the behaviors and lifestyles of your target audience and then iterating based on your results (which is what you should be doing across the board, regardless!)
The Best Times To Post On Pinterest
Source | Day Of Week | Time To Post |
Sprout Social | Wednesday to Friday | 1-3 p.m. Local |
HubSpot | Friday | 3-6 p.m. Local |
CoSchedule | Sunday, Monday, and Tuesday (in that order) |
8 p.m. Local |
- Best times to post on Pinterest: 3-6 p.m.
- Best day to post on Pinterest: Friday.
- Worst day to post on Pinterest: Sunday.
Pinterest, once thought of as a simple inspiration board-style site, has today become a crucial player in the world of ecommerce.
Businesses can leverage Pinterest to showcase their products and drive conversions, but also to grow and expand brand awareness and sentiment.
Success on Pinterest can be found through sharing brand-specific imagery, optimizing for mobile, and appealing to your audience’s sense of aspiration and inspiration.
Friday, alongside other weekdays, is consistently mentioned as a strong day among our sources. On the other end, Sunday is commonly named as the least effective day for posting on Pinterest.
When it comes to the most fruitful posting time on the platform, it appears that the late afternoon to early evening, specifically around 3-6 p.m., is optimal for best engagement.
The Best Times To Post On X (Twitter)
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday to Thursday | 9 a.m. – 2 p.m. Local |
Hootsuite | Monday and Wednesday | 10 a.m. – 1 p.m. EST |
CoSchedule | Wednesday, Tuesday, and Friday (in that order) | 9 a.m. Local |
HubSpot | Friday and Wednesday (in that order) | 9 a.m. to 12 p.m. Local |
- Best times to post on X (Twitter): 9 a.m. to 12 p.m.
- Best days to post on X (Twitter): Wednesday and Friday.
- Worst day to post on X (Twitter): Sunday.
X (formerly known as Twitter) has long been a place for marketers to connect and engage with their audience, join trending conversations, and build community.
The real-time nature of X (Twitter) differentiates it from other social platforms and allows for spur-of-the-moment and reactionary marketing moves. And with CEO Elon Musk’s big plans for the app, it’s undoubtedly a space to watch.
When looking for the top days to post among the sources we consulted, Wednesday and Friday are most often mentioned – with Sprout Social specifying Tuesday through Thursday.
Hootsuite nominates Monday and Wednesday as the top days, proving that weekdays reign supreme on X (Twitter).
Like many other platforms, Sunday seems to be the least effective day for post-engagement.
Looking for the best times to post on X (Twitter)?
Late morning, from around 9 a.m. to noon, seems to be the most recommended time – though, as always, this will differ based on your specific audience and the type of content you are sharing.
We always recommend testing and experimenting to see what works for you.
The Best Times To Post On LinkedIn
Source | Day Of Week | Time To Post |
Sprout Social | Tuesday to Thursday | 10 a.m. – 12 p.m. Local |
Hootsuite | Monday | 4 p.m. EST |
CoSchedule | Thursday, Tuesday, and Wednesday (in that order) | 10 a.m. Local |
HubSpot | Monday, Wednesday, and Tuesday (in that order) | 9 a.m. – 12 p.m. Local |
- Best times to post on LinkedIn: 10 a.m. – 3 p.m.
- Best days to post on LinkedIn: Tuesday, Wednesday, and Thursday.
- Worst days to post on LinkedIn: Weekends.
Though first and foremost a platform for professionals, LinkedIn has picked up steam in recent years, becoming a hub of engagement and a frontrunner among social media networks.
It’s also an essential tool for businesses that want to reach business executives and decision-makers, as well as potential candidates.
Done right, LinkedIn content can go a long way in building a public perception of your brand and providing deep value to your target audience.
Digging into the data, we can see that weekdays provide the biggest opportunities for engagement on LinkedIn, which is hardly surprising. Tuesdays through Thursdays are often mentioned as the top days, with Mondays also highlighted by Hootsuite and HubSpot.
All of our sources agree that weekends are less effective for LinkedIn posts.
If you’re searching for the right time, you might try your hand at posting from late morning to mid-afternoon, based on what these sources discovered.
But (and not to sound like a broken record) your results may differ based on your brand, niche, target audience, and content.
What Is The Best Time For You To Post On Social Media?
Finding the best times to post on social media requires a delicate blend of testing, experimentation, and personal analytics.
And it never hurts to start your journey with industry insights like the ones we’ve covered in this article.
By aligning your content strategy with your target audience and trying out different posting strategies – taking into account these recommended time slots – you will be able to determine what works best for you and significantly enhance your social media presence and engagement.
Sources of data, November 2023.
All data above was taken from the sources below.
Each platform conducted its own extensive research, analyzing millions of posts across various social networks to find the times when users are most engaged.
Sources:
- Sprout Social analyzed nearly 2 billion engagements across 400,000 social profiles.
- Hootsuite analyzed thousands of social media posts using an audience of 8 million followers. For its Instagram updates, it analyzed over 30,000 posts.
- CoSchedule analyzed more than 35 million posts from more than 30,000 organizations.
- SocialPilot studied over 50,000 YouTube accounts and over 50,000 TikTok accounts to compile its data.
- Later analyzed over 11 million Instagram posts.
- HubSpot surveyed over 1,000 global marketers to discern the best times to post on social media. For its Instagram-specific data, it partnered with Mention to analyze over 37 million posts.
More resources:
Featured Image: Kaspars Grinvalds/Shutterstock
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