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If youâve opened Meta Events Manager and seen âdatasetsâ everywhere, youâre not alone in wondering what they are.
Meta changed how Pixels and other data sources work by introducing datasets - a system that combines your website, app, offline, and messaging data into one place.
Sounds simple in theory, but in practice, itâs left a lot of advertisers confused.
đ Are datasets the same as Pixels?
đ Why canât you find a delete button?
đ Do you need more than one?
If youâve asked any of these questions, youâre in the right place.
In this guide, weâll break down what Meta datasets are, how to create them, and how to get access to them as an agency working with client ad accounts.
A Meta dataset is a central hub where all the actions people take across your business (also known as events) are collected and managed. It brings together data from your website, mobile app, offline activity (like in-store purchases or calls), and messaging channels.
Instead of tracking these separately, a dataset combines everything under one ID, called a dataset ID, so you can view and manage all your data in one unified place.
The result? You get a clearer view of how people interact with your business, making it easier to measure performance and optimize your campaigns.
Datasets are mainly managed in Meta Events Manager, where you can view your event data (like page views and purchases), connect data sources, and set up tracking.
đ Learn more about how Meta Events Manager works.
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ââIf youâve used Meta ads before, youâre probably familiar with the Meta Pixel. So where do datasets fit in, and are they replacing it?
The short answer: theyâre not the same, but theyâre closely connected.
The Meta Pixel is a tool that tracks website activity. Itâs a piece of code you add to your site to capture events like page views, add-to-carts, and purchases.Â
For years, itâs been the go-to way for advertisers to track performance and build custom and lookalike audiences based on what people do on the website.
A Meta dataset, on the other hand, is a broader system. It doesnât just track website events. It brings together data from multiple sources, including your website (via the Pixel), server (via the Conversions API), mobile app, offline activity, and messaging.
So rather than replacing the Pixel, a dataset now includes it as one of its data sources.
đĄ This also means that there is no separate Pixel ID system anymore. The dataset ID is the same as what used to be the Pixel ID, since the Pixel now exists within the dataset.
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Meta introduced datasets to simplify tracking, but also to fix some major limitations in how data was being collected.
Hereâs what drove the change:
So far, weâve looked at what datasets are and why Meta introduced them. But what does this actually mean for your campaigns?
Hereâs where datasets start to make a real difference:
â Higher-quality audience targeting
Because datasets combine multiple data signals (not just website activity), you can build more refined custom and lookalike audiences based on real customer behavior rather than isolated actions.
â
Stronger event match quality (EMQ)
Datasets allow you to send more identifiers (like email or phone, when permitted), which improves how well Meta can match events to users. Better matching = better optimization and more accurate results.
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Better attribution across touchpoints
Instead of crediting a single interaction, datasets help connect multiple touchpoints so you get a clearer understanding of whatâs actually driving conversions. For example, someone might click your ad on their phone but complete the purchase later on their laptop. Without connected data, youâd miss part of that journey.
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Greater flexibility in how you use your data
You can use the same dataset across campaigns, objectives, and tracking setups, making it easier to scale and adapt your strategy without rebuilding your tracking from scratch.
Creating a Meta dataset is done through Meta Events Manager.Â
In many cases, you may already have one without realizing it, since your existing Pixel or app may have been automatically converted when Meta rolled out datasets.
đ Note: You can also create a dataset from your Business Portfolio (Data sources > Datasets and pixels > Add), but this setup is very basic - youâll typically just add a name and a category. Youâll still need to finish the full configuration in Events Manager.
Below, weâll walk you through the full process of creating a dataset in Events Manager.
Before getting started, make sure you have:
âď¸ Access to Meta Events Manager
Youâll need admin access to the ad account to create and manage data sources.
âď¸ Full control of the Business Portfolio
The dataset must belong to a Business Portfolio you have full control over. Without this, you wonât be able to create or manage it.
âď¸ Your business assets are set up correctly
Make sure your website, app, or Facebook Page is already added to your Business Portfolio. This is especially important if you plan to link an app or messaging data.
Once thatâs sorted, youâre ready to create your dataset:
Step 1. Head to Meta Events Manager and click âConnect data.â

đĄ Tip: If you already see a dataset listed, check it first because you may not need to create a new one. Most businesses only need one main dataset, since it can combine data from multiple sources.
If a dataset already exists:
Step 2. Choose what type of data you want to track.

Each option represents a different way your business collects customer interactions.
đĄ Tip: If youâre running ads to a website, start with Web. You can always add more data sources later to the same dataset.
Step 3. Youâll be prompted to give your dataset a name and, optionally, select categories related to your business.

Step 4. From here, Meta will guide you through setup based on the data source you selected:
đ Follow our step-by-step guide on how to create and install a Meta Pixel if you need help with this part.
đĄ Note (for app tracking): If youâre working with app data, moving or relinking your app to a different dataset can impact event tracking and campaign performance, so itâs best to plan your setup carefully from the start.
Once your setup is complete, your dataset will begin collecting events, which you can view in Events Manager. đ
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To test your dataset, you can use the Test Events tool in Events Manager.
This tool lets you verify that events from your website or app are being received in real time.
Even if everything is set up correctly, event data in reports can take up to 30 minutes (or more) to appear. Thatâs why the Test Events tool is so useful. It shows activity immediately, so you donât have to rely on delayed reporting.
When using the tool, look out for:
â Note: If your events arenât showing here, theyâre not being tracked properly, meaning your campaigns wonât have reliable data to optimize from.

From here, you can test different data sources depending on your setup.
For example, if youâre testing website events, youâll be asked to enter your website URL and complete a few actions (like viewing a page or submitting a form).
These events/actions should appear in real time inside the Test Events tab.
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No, you cannot delete a Meta dataset.
Metaâs help docs does provide steps to delete a dataset, but if youâve looked around in the interface, youâve probably noticed that option isnât actually there. đľâđŤ
Thatâs because Meta generally discourages deleting datasets altogether.Â
Across their help documentation, they repeatedly warn that removing a dataset can disrupt tracking, break campaign optimization, and lead to lost data, so itâs not something they recommend doing (itâs not even an option youâll see anyway).
If you no longer want to use a dataset, here are the best alternatives to deleting it:
This stops the dataset from being used for tracking or optimization in campaigns.
Hereâs how to do it:

Once disconnected, that ad account will no longer receive data from the dataset.
This is useful when you need to clean up permissions, remove old team members, or hand over access to a new agency or team.
Hereâs how to do it:

The dataset (and Pixel) will still exist in Events Manager, but youâll be stopping it from collecting new data.
Hereâs how to do it:
â
đĄ Tip: After removing the Pixel, use the Test Events tool or a browser extension (like Meta Pixel Helper) to confirm that no events are firing.
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If youâre working with clients, you wonât be able to use their dataset unless they give you access first.
There are two main ways to do this:
This is the most common approach. Your client needs to manually share their dataset with you from their Business Portfolio.Â
If theyâre not sure how to do it, you can send them these steps:
Step 1. Go to âSettingsâ in Meta Business Suite.
Step 2. Click Data sources > Datasets and pixels.
Step 3. Select the dataset you want to share.
Step 4. Open the People tab (to give access to an individual) or the Partners tab (to give access to an agency), then click âAssign accessâ or âAssign partner.â

đĄ Important: The person or agency must already be added to the Business Portfolio. If they donât appear in the list, youâll need to go to Users > People or Partners and invite them first.
Step 5. Choose the level of access:
đ If youâre also managing campaigns, youâll likely need access to your clientâs ad account too. Hereâs a step-by-step guide on how to request access to a Facebook ad account.
If youâre an agency onboarding clients regularly, asking them to manually assign access through Meta Business Suite can quickly become a long and frustrating process, especially if your clients arenât familiar with Metaâs settings.
Thatâs where a client onboarding tool like Leadsie can make requesting access to a Meta dataset much easier.
Instead of guiding clients through multiple steps (like navigating Business Settings, finding datasets, or sharing business IDs), you can simply send them a secure link.
From there, they just:

Time saved and clients impressed đ
â Bonus: the same link can be used to request access across 31+ advertising platforms, not just Meta, making it much easier to manage client onboarding in one place.
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Spending hours on multiple calls, reminder emails, lengthy PDFs, or sharing passwords to access clientsâ ad and social accounts? Leadsie has a better solution.Â
Donât place the administrative burden on your new clients during client onboarding. Send them a secure Leadsie link thatâll get your agency access to 31+ platforms at once. The best part? The access doesnât expire, and no one is risking account security by sharing logins. đ
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Leadsie is a client onboarding software that simplifies requesting and giving access to marketing assets, social media, and ad accounts with one secure link. Get access to your clientsâ or influencersâ Facebook, Instagram, Google, TikTok, Shopify, LinkedIn, X, and other accounts without sharing passwords. đ
Leadsie speeds up client onboarding by replacing manual access requests with one secure approval link. You send the link to your client, they review and approve the permissions youâve requested, and your agency gets instant access to their accounts.
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Clients struggling to share access to their
accounts? Get the access you need in minutes with a free trial of Leadsie.
Approved by Meta, Google & Tiktok
Keep access to accounts if you cancel
Secure & 100% GDPR compliant
Delete your onboarding PDF. Cancel the video call. Just send one link, and get hassle-free access to 13+ platforms in minutes. Start free today.
Approved by Meta, Google & Tiktok
Keep access to clients' accounts if you cancel
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In most cases, you only need one main dataset. A single dataset can combine data from your website, app, offline activity, and more, so creating multiple datasets often just splits your data and makes tracking less effective.
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You might need a new dataset if youâre:
For most advertisers, though, sticking to one dataset is the better approach.
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Yes, you can share a dataset with multiple ad accounts.
This is especially useful for agencies or businesses managing campaigns across different accounts, as it allows all campaigns to use the same data for tracking and optimization.
â
Not directly, but switching datasets can.
If your campaigns are optimized using one dataset and you change it, you may lose tracking data and performance signals, which can impact optimization.
Questions unanswered? Check out our help center or get in touch đ¤