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Getting Ready For GA4: Saving Your Historical Data

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As you’re preparing to set up Google Analytics (GA4), you’re probably asking the same thing we were: What’s the best method for migrating our historical data?

There should be a way to do this, right?

In this column, you’ll learn whether we can merge data in GA4 and three DIY ways to save your historical data.

Can You Migrate Your Data To GA4?

The primary concern is whether GA users can transfer or migrate Universal Analytics data into their Google Analytics 4 property.

Unfortunately, you cannot migrate your data to GA4, and it’s not likely to be a feature we’ll see added in the coming months.

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Migrating your data to GA4 is not likely to be a feature because the two versions use completely different data models.

I spoke with Charles Farina, Head of Innovation at Adswerve, and he explained that:

“It is the difference in schema and dimension definitions/calculations that make merging the data not possible.”

Schema refers to how the data is organized and the language used to ensure compatibility. Essentially it is the blueprint.

He explains you can see the differences in schema well when comparing the BigQuery integrations for UA and GA4.

“The UA export is sessionized, meaning each row in the export is a session, and every interaction is nested in that row. The GA4 export is very different, where each row is the event (interaction) itself,” shared Farina.

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Another key reason is how dimensions and metrics are defined and calculated in GA4 compared to UA.

Google has a great support page that goes over many of these.

For example, let’s look at one of the most common KPIs, “Users.”

Universal Analytics reports on Total Users or all users, while GA4 focuses on Active Users or users that have visited the website at least once in the past 28 days.

Even if we could migrate UA data to GA4, it would be like comparing apples to oranges.

If you’re wondering why this change is happening, you’ll find the answer in our article, Google Analytics 4 FAQs: Stay Calm & Keep Tracking.

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How To Export Google Analytics Historical Data

Google does empathize and encourages users to export their historical data.

“We know your data is important to you, and we strongly encourage you to export your historical reports during this time.”

Screenshot from Google Help, April 2022GA4 help

Google hints that more guidance on how to export may be coming in the future.

The good news is while we cannot migrate our data, we can still save it.

Google allows GA360 (paid product) users to export Universal Analytics data to BigQuery. However, the cost of this product makes it inaccessible for smaller organizations.

So, what about standard users? How do the rest of us export historical data?

I will show you three DIY methods and a few tools that can handle more complex requests.

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1. Manual Export

The easiest way to export data is to get it directly from your Google Analytics account.

Open the GA standard report you want to keep. For example Acquisition > All Traffic > Source/Medium.

Set any customizations you want, such as a segment for a particular country, a filter for a particular page grouping, or a secondary dimension for landing pages.

Click EXPORT in the top right corner.

Select the file format from the drop-down menu. You can choose PDF, Google Sheets, Excel (xlsv), or CSV.

UA Historical Data_Manual Export exampleUA Historical Data_Manual Export example

Though this is the easiest way to export your historical data, there are limitations.

You can only apply two dimensions and are limited to a maximum of 5,000 rows.

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If you are registering thousands of hits per day your data may be sampled.

Check for the green checkmark shield in the top left near the title of the report you’re viewing; this means your data is not sampled.

2. Google Analytics Dev Tools: Query Explorer

Google Analytics dev tools sound off-putting (and technical), but you are likely already familiar with one of the tools.

The Campaign URL Builder is commonly used to create UTM parameters for campaigns.

GA dev tools also have a query explorer.

This is an easy (and free) way to export data for non-technical users (yeah!).

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Open Query Explorer and click the orange button, LOGIN.

Sign in to your Google Analytics account that has access to the property you are working on.

UA Query ExplorerScreenshot from UA Query Explorer, April 2022UA Query Explorer

Select the account, property, and view you want to save data for.

The tool will automatically set the GA ID, so you don’t need to worry about that.

UA Historical Data_Query Explorer_Select account exampleScreenshot from UA Query Explorer, April 2022UA Historical Data_Query Explorer_Select account example

Set the remaining query parameters: Date range in the format YYYY-MM-DD, metrics, dimensions, and any filters or segments you would like to apply.

For metrics, select the columns from your Google Analytics report that you are extracting data from.

You can choose every metric in the report you want to replicate or just a few metrics that help achieve your goals like “Users,” “bounceRate,” “avgSessionsDuration” and “goalCompletionsAll.”

UA Historical Data_Query Explorer_Query paramters exampleScreenshot from UA Query Explorer, April 2022UA Historical Data_Query Explorer_Query paramters example

Dimensions will be the rows from the Google Analytics report from which we are exporting data.

For example, if we want to see metrics (users, bounce rate, duration, and goal completions) by traffic source select “ga:sourceMedium” as the dimension.

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Note: If you plan to visualize this information in Data Studio, you will need to set the dimensions “ga:Medium” and “ga:Source” separately.

“ga:SourceMedium” does not work in Data Studio. More on visualizing to come.

UA Historical Data_Query Explorer_Dimensions exampleUA Historical Data_Query Explorer_Dimensions example
Screenshot from UA Query Explorer, April 2022

The rest of the query parameters are optional. I recommend leaving these blank in this use case to pull the max amount of data.

You can always sort, filter, and segment within your spreadsheet.

Scroll to the bottom and click the orange button RUN QUERY.

From here, download the data as .tsv (tab separated values) and open it in Excel or Google Sheets.

GA Query Explorer_Data download exampleScreenshot from UA Query Explorer, April 2022GA Query Explorer_Data download example

Note: Notice the UA – GA4 toggle in the left-hand menu navigation. By clicking this toggle, you can access Query explorer for GA4 accounts.

3. Google Analytics Sheets Add-On

This option is a tad more complex but connects Google Analytics directly to Sheets, so you don’t have the extra steps of downloading and uploading.

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Create a folder in your Google Drive that will hold your historical data. Create a new Google Sheet and name something that will make sense for future team members, like “UA Historical Data_Traffic Acquisition_2021.”

Along the top menu navigation, click Extensions > Add-Ons > Get Add-Ons.

screenshot_Google Sheets Extensions Get Add-OnsScreenshot from Google Sheets, April 2022screenshot_Google Sheets Extensions Get Add-Ons

Search for the Google Analytics app in the Google Workspace Marketplace. Click to install and follow the onscreen prompts.

screenshot_Google Analytics Sheets ExtensionScreenshot from Google Workspace Marketplace, April 2022screenshot_Google Analytics Sheets Extension

Back to your Google Sheet. Click Extensions again. This time you should see the app for Google Analytics.

Hover and click Create new report.

Now it’s time to export your historical data.

screenshot_Google Analytics Sheets Add-on_create new reportScreenshot from Google Sheets, April 2022screenshot_Google Analytics Sheets Add-on_create new report

Step 1. Name your report something that makes sense for your fellow team members. For example, we will pull data by financial quarter, so report no. 1 will be named “Q1 2021.”

Step 2. Select the Analytics view you want to extract data from by choosing our Account, Property, and View.

Step 3. Configure report. Here we will choose our metrics, dimensions, and segments.

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I am going to keep it simple for this example and choose “Users,” “Bounce Rate,” and “Goal Conversions” for my metrics and “source” and “medium” for my dimensions.

Note: ga:sourceMedium is not compatible with Data Studio. If you plan on visualizing this sheet, it is best to pull the traffic source dimensions separately like ga: Medium, ga:Source.

Leave Segments empty to see all users.

screenshot_GA Sheets Add-On configuration for historical dataScreenshot from Google Sheets, April 2022screenshot_GA Sheets Add-On configuration for historical data

Clicking the blue button Create Report will lead you to configuration options.

There are more options to customize our report that are not available on the previous screen.

We can adjust the date range using the format YYYY-MM-DD.

We can apply filters like country, ga:country==United States.

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Double-check that everything looks correct, then click Extensions > Google Analytics > Run reports to export your historical data.

GA Sheets Extension Run Report exampleScreenshot from Google Sheets, April 2022GA Sheets Extension Run Report example

Note: Speed up this process by copying and pasting the configuration over to the next column, updating the date range, and running multiple reports simultaneously.

A report status popup will let you know if you’ve made any mistakes or once the report is completed successfully.

Row Number 6 will show us if the data is sampled or not. Row number 7 will tell us how much if the sheet contains sampled data.

GA Sheets Extension_Sampled data screenshotScreenshot from Google Sheets, April 2022GA Sheets Extension_Sampled data screenshot

In Universal Analytics, data sampling happens after 500,000 sessions in the timeframe.

So, you can adjust your report data range to reduce the number of sessions in your timeframe.

Or, if you need the full dataset and want to skip the back and forth, use a third-party tool to avoid data sampling.

Third-Party Tools

Optimizesmart.com has a 46-step walkthrough of using Supermetrics for sending GA data to BigQuery.

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On March 12, 2022, JR Oaks announced that they are working on releasing an open-source GA to BigQuery backup script/workflow to the public.

There are pre-built data pipelines by companies like Hevo and Electrik AI that export historical data from Google Analytics to a database file or data warehouse of your choice.

You may also consider switching to a paid Analytics provider.

A few have already launched a Google Analytics historical data import option.

Visualizing Historical Data With Data Studio

Now that you have pulled your historical data, you want to make something easy to compare to GA4.

Note: I have to forewarn you that attempting to compare UA and GA4 will be really rough because the data models are completely different.

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Farina adds,

“Google intends for you to run GA4 side-by-side with UA and, instead of merging the data, just cut over to GA4 as soon as it has 13 months of historical data.”

Be assured that a lot of your hard-earned knowledge and skills carry over to GA4! Read, Getting started with GA4 to learn where to find site traffic, user engagement, events, and conversion reports.

Ok, back to visualizing historical data.

Follow these steps to create a Data Studio report that will stack a historical data table on top of a GA4 data table, so your YoY results are at least in one place.

Open Data Studio and click to start a Blank Report.

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Data Studio create a blank report_screenshotScreenshot from Google Data Studio, April 2022Data Studio create a blank report_screenshot

There will be an overlay screen to select the data source you want to connect. Select Google Sheets.

Google Sheets connector for Data Studio screenshotScreenshot from Google Data Studio, April 2022Google Sheets connector for Data Studio screenshot

Locate the spreadsheet you made above when exporting your data. If you followed the steps exactly, it will be named “UA Historical Data _Traffic Acquisition_2021.”

Select the worksheet “Q1 2021.”

Using the first row as headers will automatically name your metrics and dimensions, so keep boxes both checked.

Select the optional range that matches your sheet.

For example, my headers start at A15, and the last number in my sheet is E62, so my range will be “A15:E62.”

Connecting Sheets with Data Studio exampleScreenshot from Google Data Studio, April 2022Connecting Sheets with Data Studio example

Data Studio will automatically create a table. Double-check that the configuration is the same as your sheet in the right-hand menu.

Medium is the primary dimension. Flip the toggle to add a secondary dimension of Source.

Metrics are Users, Bounce Rate, and Goal Completions.

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Your historical data table will look similar to the screenshot below.

Google to offer more guidance on data export_quote screenshotScreenshot from Google Data Studio, April 2022Google to offer more guidance on data export_quote screenshot

Next, we will create the same table but for our GA4 data in the same time frame: Q1 2022.

Right-click to copy and paste your table, then change the data source from UA Historical Data to your Google Analytics 4 account.

Because the metrics have different names, you will see an error – invalid metric.

Click on each metric and update it to something similar like “Total Users,” “Engagement Rate,” and “Conversions.”

Dimensions will update to “session/source” and “session/medium.”

Last, in the same menu, scroll down and set the date range so it matches your historical data: January 01 – January 31, 2022.

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The final report will look similar to the screenshot below.

screenshot of historical data to GA4 comparison in Data Studioscreenshot of historical data to GA4 comparison in Data Studio
Screenshot from Google Data Studio, April 2022

You can easily see primary metrics year over year by comparing historical data with GA4.

Although, it’s fairly bare-bones.

You can not blend this data because the definitions and calculations of the dimensions and metrics are fundamentally different.

For more robust historical reporting options, such as graphic users or goal completions over a period of time, you may want to consider BigQuery.

Final Thoughts

Unfortunately, migrating your data to GA4 is not currently possible (and not likely to come) because the two versions are fundamentally different data models.

There are a few DIY solutions for saving your historical data, but the outputs are fairly bare-bones.

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If you need more robust information and reporting capabilities of historical data, look into a data warehouse like BigQuery.

Google hints that additional information on exporting historical data will come before the July 2023 end date.

Maybe that will be a data connector for BigQuery for Google Analytics standard users – one can hope.

More resources:


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OpenAI Expected to Integrate Real-Time Data In ChatGPT

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OpenAI ChatGPT announcement

Sam Altman, CEO of OpenAI, dispelled rumors that a new search engine would be announced on Monday, May 13. Recent deals have raised the expectation that OpenAI will announce the integration of real-time content from English, Spanish, and French publications into ChatGPT, complete with links to the original sources.

OpenAI Search Is Not Happening

Many competing search engines have tried and failed to challenge Google as the leading search engine. A new wave of hybrid generative AI search engines is currently trying to knock Google from the top spot with arguably very little success.

Sam Altman is on record saying that creating a search engine to compete against Google is not a viable approach. He suggested that technological disruption was the way to replace Google by changing the search paradigm altogether. The speculation that Altman is going to announce a me-too search engine on Monday never made sense given his recent history of dismissing the concept as a non-starter.

So perhaps it’s not a surprise that he recently ended the speculation by explicitly saying that he will not be announcing a search engine on Monday.

He tweeted:

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“not gpt-5, not a search engine, but we’ve been hard at work on some new stuff we think people will love! feels like magic to me.”

“New Stuff” May Be Iterative Improvement

It’s quite likely that what’s going to be announced is iterative which means it improves ChatGPT but not replaces it. This fits into how Altman recently expressed his approach with ChatGPT.

He remarked:

“And it does kind of suck to ship a product that you’re embarrassed about, but it’s much better than the alternative. And in this case in particular, where I think we really owe it to society to deploy iteratively.

There could totally be things in the future that would change where we think iterative deployment isn’t such a good strategy, but it does feel like the current best approach that we have and I think we’ve gained a lot from from doing this and… hopefully the larger world has gained something too.”

Improving ChatGPT iteratively is Sam Altman’s preference and recent clues point to what those changes may be.

Recent Deals Contain Clues

OpenAI has been making deals with news media and User Generated Content publishers since December 2023. Mainstream media has reported these deals as being about licensing content for training large language models. But they overlooked a a key detail that we reported on last month which is that these deals give OpenAI access to real-time information that they stated will be used to give attribution to that real-time data in the form of links.

That means that ChatGPT users will gain the ability to access real-time news and to use that information creatively within ChatGPT.

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Dotdash Meredith Deal

Dotdash Meredith (DDM) is the publisher of big brand publications such as Better Homes & Gardens, FOOD & WINE, InStyle, Investopedia, and People magazine. The deal that was announced goes way beyond using the content as training data. The deal is explicitly about surfacing the Dotdash Meredith content itself in ChatGPT.

The announcement stated:

“As part of the agreement, OpenAI will display content and links attributed to DDM in relevant ChatGPT responses. …This deal is a testament to the great work OpenAI is doing on both fronts to partner with creators and publishers and ensure a healthy Internet for the future.

Over 200 million Americans each month trust our content to help them make decisions, solve problems, find inspiration, and live fuller lives. This partnership delivers the best, most relevant content right to the heart of ChatGPT.”

A statement from OpenAI gives credibility to the speculation that OpenAI intends to directly show licensed third-party content as part of ChatGPT answers.

OpenAI explained:

“We’re thrilled to partner with Dotdash Meredith to bring its trusted brands to ChatGPT and to explore new approaches in advancing the publishing and marketing industries.”

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Something that DDM also gets out of this deal is that OpenAI will enhance DDM’s in-house ad targeting in order show more tightly focused contextual advertising.

Le Monde And Prisa Media Deals

In March 2024 OpenAI announced a deal with two global media companies, Le Monde and Prisa Media. Le Monde is a French news publication and Prisa Media is a Spanish language multimedia company. The interesting aspects of these two deals is that it gives OpenAI access to real-time data in French and Spanish.

Prisa Media is a global Spanish language media company based in Madrid, Spain that is comprised of magazines, newspapers, podcasts, radio stations, and television networks. It’s reach extends from Spain to America. American media companies include publications in the United States, Argentina, Bolivia, Chile, Colombia, Costa Rica, Ecuador, Mexico, and Panama. That is a massive amount of real-time information in addition to a massive audience of millions.

OpenAI explicitly announced that the purpose of this deal was to bring this content directly to ChatGPT users.

The announcement explained:

“We are continually making improvements to ChatGPT and are supporting the essential role of the news industry in delivering real-time, authoritative information to users. …Our partnerships will enable ChatGPT users to engage with Le Monde and Prisa Media’s high-quality content on recent events in ChatGPT, and their content will also contribute to the training of our models.”

That deal is not just about training data. It’s about bringing current events data to ChatGPT users.

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The announcement elaborated in more detail:

“…our goal is to enable ChatGPT users around the world to connect with the news in new ways that are interactive and insightful.”

As noted in our April 30th article that revealed that OpenAI will show links in ChatGPT, OpenAI intends to show third party content with links to that content.

OpenAI commented on the purpose of the Le Monde and Prisa Media partnership:

“Over the coming months, ChatGPT users will be able to interact with relevant news content from these publishers through select summaries with attribution and enhanced links to the original articles, giving users the ability to access additional information or related articles from their news sites.”

There are additional deals with other groups like The Financial Times which also stress that this deal will result in a new ChatGPT feature that will allow users to interact with real-time news and current events .

OpenAI’s Monday May 13 Announcement

There are many clues that the announcement on Monday will be that ChatGPT users will gain the ability to interact with content about current events.  This fits into the terms of recent deals with news media organizations. There may be other features announced as well but this part is something that there are many clues pointing to.

Watch Altman’s interview at Stanford University

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Google’s Strategies For Dealing With Content Decay

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Disappointed stressed businessman staring at the stacked paperwork on his desk

In the latest episode of the Search Off The Record podcast, Google Search Relations team members John Mueller and Lizzi Sassman did a deep dive into dealing with “content decay” on websites.

Outdated content is a natural issue all sites face over time, and Google has outlined strategies beyond just deleting old pages.

While removing stale content is sometimes necessary, Google recommends taking an intentional, format-specific approach to tackling content decay.

Archiving vs. Transitional Guides

Google advises against immediately removing content that becomes obsolete, like materials referencing discontinued products or services.

Removing content too soon could confuse readers and lead to a poor experience, Sassman explains:

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“So, if I’m trying to find out like what happened, I almost need that first thing to know. Like, “What happened to you?” And, otherwise, it feels almost like an error. Like, “Did I click a wrong link or they redirect to the wrong thing?””

Sassman says you can avoid confusion by providing transitional “explainer” pages during deprecation periods.

A temporary transition guide informs readers of the outdated content while steering them toward updated resources.

Sassman continues:

“That could be like an intermediary step where maybe you don’t do that forever, but you do it during the transition period where, for like six months, you have them go funnel them to the explanation, and then after that, all right, call it a day. Like enough people know about it. Enough time has passed. We can just redirect right to the thing and people aren’t as confused anymore.”

When To Update Vs. When To Write New Content

For reference guides and content that provide authoritative overviews, Google suggests updating information to maintain accuracy and relevance.

However, for archival purposes, major updates may warrant creating a new piece instead of editing the original.

Sassman explains:

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“I still want to retain the original piece of content as it was, in case we need to look back or refer to it, and to change it or rehabilitate it into a new thing would almost be worth republishing as a new blog post if we had that much additional things to say about it.”

Remove Potentially Harmful Content

Google recommends removing pages in cases where the outdated information is potentially harmful.

Sassman says she arrived at this conclusion when deciding what to do with a guide involving obsolete structured data:

“I think something that we deleted recently was the “How to Structure Data” documentation page, which I thought we should just get rid of it… it almost felt like that’s going to be more confusing to leave it up for a period of time.

And actually it would be negative if people are still adding markup, thinking they’re going to get something. So what we ended up doing was just delete the page and redirect to the changelog entry so that, if people clicked “How To Structure Data” still, if there was a link somewhere, they could still find out what happened to that feature.”

Internal Auditing Processes

To keep your content current, Google advises implementing a system for auditing aging content and flagging it for review.

Sassman says she sets automated alerts for pages that haven’t been checked in set periods:

“Oh, so we have a little robot to come and remind us, “Hey, you should come investigate this documentation page. It’s been x amount of time. Please come and look at it again to make sure that all of your links are still up to date, that it’s still fresh.””

Context Is Key

Google’s tips for dealing with content decay center around understanding the context of outdated materials.

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You want to prevent visitors from stumbling across obsolete pages without clarity.

Additional Google-recommended tactics include:

  • Prominent banners or notices clarifying a page’s dated nature
  • Listing original publish dates
  • Providing inline annotations explaining how older references or screenshots may be obsolete

How This Can Help You

Following Google’s recommendations for tackling content decay can benefit you in several ways:

  • Improved user experience: By providing clear explanations, transition guides, and redirects, you can ensure that visitors don’t encounter confusing or broken pages.
  • Maintained trust and credibility: Removing potentially harmful or inaccurate content and keeping your information up-to-date demonstrates your commitment to providing reliable and trustworthy resources.
  • Better SEO: Regularly auditing and updating your pages can benefit your website’s search rankings and visibility.
  • Archival purposes: By creating new content instead of editing older pieces, you can maintain a historical record of your website’s evolution.
  • Streamlined content management: Implementing internal auditing processes makes it easier to identify and address outdated or problematic pages.

By proactively tackling content decay, you can keep your website a valuable resource, improve SEO, and maintain an organized content library.

Listen to the full episode of Google’s podcast below:


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25 Snapchat Statistics & Facts For 2024

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25 Snapchat Statistics & Facts For 2024

Snapchat, known for its ephemeral content, innovative augmented reality (AR) features, and fiercely loyal user base, is a vital player in the social media landscape.

While it sometimes flies under the radar – as other platforms like TikTok, YouTube, and Instagram tend to dominate the cultural conversation – Snapchat is an incredibly powerful marketing tool that holds a unique place in the hearts and minds of its users.

In this article, we’ll explore what you need to know about Snapchat, with insights that shed light on what audiences think of the app and where its strengths lie.

From user growth trends to advertising effectiveness, let’s look at the state of Snapchat right now.

What Is Snapchat?

Snapchat is a social media app that allows users to share photos and videos with friends and followers online.

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Unlike other social platforms like Facebook, Instagram, and TikTok – where much of the content is stored permanently – Snapchat prioritizes ephemeral content only.

Once viewed, Snapchat content disappears, which adds a layer of spontaneity and privacy to digital interactions.

Snapchat leverages the power of augmented reality to entertain its audience by creating interactive and immersive experiences through features like AR lenses.

Users can also explore a variety of stickers, drawing tools, and emojis to add a personal touch to everything they post.

What started as a small collection of tools in 2011 has now expanded to a massive library of innovative features, such as a personalized 3D Snap Map, gesture recognition, audio recommendations for lenses, generative AI capabilities, and much more.

Creating an account on Snapchat is easy. Simply download the app on Google Play or the App Store. Install it on your device, and you’re ready!

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Screenshot from Google Play, December 2023

25 Surprising Facts You Didn’t Know About Snapchat

Let’s dive in!

1. Snapchat Has 406 Million Daily Active Users

That number, released by the company in October 2023, represents an increase of 43 million year-over-year – a 12% increase.

Here’s a chart from Statista showing Snapchat’s user growth from 2014 to 2023:

Snapchat’s user growth from 2014 to 2023Screenshot from Statista.com, December 2023

And with 750 million monthly active users (MAUs), Snapchat is the fifth-biggest social media network in the world.

2. Users 18-24 Years Old Account For The Biggest Chunk Of Snapchat’s Audience

According to Snapchat’s own advertising data, the platform has 243.5 million users aged 18 to 24 – representing 38.6% of its total ad audience.

The second largest group of users are between the ages of 25 and 34, followed by 13-17-year-olds – proving that Snapchat is reaching young people around the world.

On the flip side, the platform isn’t huge with older users; people aged 50 and over account for only 3.8% of Snapchat’s total ad audience.

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As a marketer, you can take a hint on what your campaign should focus on if you use Snapchat. As Snapchat’s own report puts it:

“From its inception, Snapchat has inherently created a frictionless space where Gen Z creatives can experiment with their identities, yet not have to feel like they’re ‘on brand’ in communicating to their close friend groups.”

3. Snapchat Reaches 90% Of The 13 To 24-Year-Old Population

It also reaches 75% of people between the ages of 13 and 34 in over 25 countries, according to Snapchat’s estimates.

In the US, 59% of American teenagers (between the ages of 13 and 17) report using Snapchat. This number amounts to roughly six in 10 US teens.

4. Snapchat Users Open The App Nearly 40 Times A Day

According to the company, this means people interact with their social circles on Snapchat more than any other social network.

In the US, about half of teenagers (51%) report using Snapchat at least once a day – making it slightly more popular than Instagram, but not quite as popular as YouTube or TikTok.

5. Taco Bell Paid $75,000 For 24 Hours Of The Taco Filter/Ad

To boost sales, Taco Bell launched the taco filter on Snapchat. Here’s what it looked like.

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The filter is humorous, relevant, and unique. Users adored it, and it got 224 million views.

That’s great, considering Taco Bell paid $75,000 for the ad – which actually proved to be a great investment for the exposure the brand received.

6. More Than Half (50.6%) Of Snapchat Users Are Female

In contrast, 48.7% of the platform’s global users are male.

While there is not a huge discrepancy between the demographics here, it’s helpful information for any marketers looking to put together Snapchat campaigns.

7. Snapchat Is The No. 1 App People Use To Share What They Bought

Is your brand looking to reach young social media users around the world? Snapchat could be the perfect platform for you.

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People are 45% more likely to recommend brands to friends on Snapchat compared to other platforms.

They’re also 2X more likely to post about a gift after receiving it – making Snapchat a powerful tool for influencer marketing and brand partnerships.

8. Snapchat Pioneered Vertical Video Ads

Once a novelty in the social media industry, vertical video ads have become one of the most popular ways to advertise on social media and reach global audiences.

What are vertical video ads? It’s self-explanatory: They’re ads that can be viewed with your phone held vertically. The ad format is optimized for how we use our mobile devices and designed to create a non-disruptive experience for users.

You’ve definitely seen countless video ads by now, but did you know Snapchat pioneered them?

9. You Can Follow Rock Star Business Experts On Snapchat

Who knew Snapchat could be a powerful business tool? Here are the top three experts you should follow right now:

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10. More Than 250 Million Snapchatters Engage With AR Every Day, On Average

Snapchat was the first social media app to really prioritize the development of AR features, and it’s paid off.

Over 70% of users engage with AR on the first day that they download the app – and, to date, there have been more than 3 million lenses launched on Snapchat.

11. People Are 34% More Likely To Purchase Products They See Advertised On Snapchat

When compared to watching the same ad on other social media platform, Snapchat proves to be an effective way to reach and convert.

12. Snapchat Is The King Of Ephemeral Content Marketing

Ephemeral content marketing uses video, photos, and media that are only accessible for a limited time.

Here are three reasons it works:

  • It creates a sense of urgency.
  • It appeals to buyers who don’t want to feel “sold.”
  • It’s more personalized than traditional sales funnel marketing.

Guess who’s one of the kings of ephemeral content marketing? That’s right: Snapchat.

Consider that if it weren’t for Snapchat, Instagram Stories would likely not exist right now.

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13. More Than 5 Million People Subscribe To Snapchat+

Snapchat+ is the platform’s paid subscription service that gives users access to exclusive and pre-release features on the platform.

Subscribers also receive a range of other perks, including options to customize their app experience and the ability to see how many times their content has been rewatched.

The fact that so many millions of users are willing to pay for special access and features to Snapchat should be a sign to brands and marketers everywhere that the platform has a strong pull with its audience.

Beyond that, the fact that Snapchat+ drew 5 million subscribers within just a year or so of launching is impressive on its own.

14. Snapchat Reaches Nearly Half Of US Smartphone Users

According to Statista, approximately 309 million American adults use smartphones today.

Snapchat’s ability to reach such a considerable portion of US smartphone users is notable.

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15. Snapchat Users Spend An Average Of 19 Minutes Per Day On The App

That’s 19 minutes brands can use to connect with people, grow brand awareness, and convey their message.

16. Snapchat’s Original Name Was Picaboo

In fact, Snapchat did run as Picaboo for about a year.

17. Snapchat Was Created After 34 Failures

Snapchat creators Evan Spiegel, Bobby Murphy, and Frank Reginald Brown worked on the Snapchat project while they were studying at Stanford University.

After 34 failures, they finally developed the app as we know it today.

18. Snapchat’s Creators Had A Major Falling-Out Before The App Was Released

Frank Reginald Brown was ousted from the Snapchat project by his friends.

Although no one knows the real story, Brown claims Spiegel and Murphy changed the server passwords and ceased communication with him a month before Snapchat was launched.

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19. Snapchat Downloads Doubled After The Launch Of The Toddler & Gender Swap Filters

Users downloaded Snapchat 41.5 million times in a month after the release of these filters!

20. Mark Zuckerberg Tried To Buy Snapchat

Snapchat’s owners refused to sell Snapchat to Zuckerberg (even though the offer went as high as $3 billion!).

21. Snapchat’s Mascot Is Called Ghostface Chillah

The mascot was inspired by Ghostface Killah of the Wu-Tang Clan – and when you consider that the app was once called “Picaboo,” the ghost logo makes more sense.

Apparently, Snapchat co-founder and CEO Evan Spiegel has said that he developed the mascot himself and chose a ghost based on the ephemeral nature of Snapchat content.

22. Facebook And Instagram Borrowed Ephemeral Content From Snapchat

As we mentioned above, we have Snapchat to thank for Facebook and Instagram Stories, which have since become integral to the social media experience.

Snapchat also pioneered the use of AR filters, which were adopted by Instagram and paved the way for the filters that dominate the world of TikTok today.

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23. 75% Of Gen Z And Millennials Say Snapchat Is The No. 1 Platform For Sharing Real-Life Experiences

Social media is all about authentic moments and human connection – and social media marketing is no different.

With such a large number of young people preferring Snapchat over other platforms for sharing their life experiences, marketers should follow suit.

Find ways to share behind-the-scenes moments with your team and company, and emphasize the humans behind the brand.

24. Snapchat Users Have Over $4.4 Trillion In Global Spending Power

That’s nothing to sneeze at.

25. In 2022, Snapchat Generated $4.6 Billion In Revenue

It is currently valued at over $20 billion.

Looking Ahead With Snapchat

Snapchat’s ephemeral content, intimacy, and spontaneity are strong points for everyday users, content creators, and businesses alike.

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Marketers should keep a keen eye on emerging trends within the platform, such as new AR advancements and evolving user demographics.

Those looking to reach younger audiences or show an authentic, human side of their brand should consider wading into the waters of Snapchat.

By harnessing the power of ephemeral content and engaging features, brands can effectively use Snapchat to grow their brand awareness, engage with audiences on a more personal level, and stay relevant in the fast-paced world of digital marketing.

More resources:


Featured Image: Trismegist san/Shutterstock



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