TRAC is Pulsar’s social listening and audience intelligence platform, designed to help you define, capture, and analyze online conversations and audiences across a wide range of data sources. Insights are delivered through more than 50 real-time, interactive visualizations, allowing you to explore patterns, trends, and audience behaviours with ease.
TRAC supports multiple languages, operates on a global scale, and leverages a suite of advanced AI models to analyze your datasets to help you uncover meaningful insights, identify emerging trends, and make data-informed decisions with confidence.
We've broken down this walkthrough into 5 key areas:
Creating your search 📝
Collecting your data 📡
Filtering your data 🔎
Reporting 🛫
Managing your search ⚙️
Use the content links on the right hand side of this article to navigate your way to a section. This guide will tell you everything you need to know to confidently navigate TRAC and teach you how to get the most out of the platform, whether you're an advanced user or new to Pulsar.
Creating your Search 📝
All Searches Landing Page
The All Searches landing page is the main entry point for TRAC, acting as a central hub for all the searches running within your domain. From here, you can quickly see which searches are active, who created them, and which data sources they are consuming.
At the top of the page, you’ll find a range of filters that let you sort and organize your searches by various parameters; such as creation date, last modified, alphabetical order, or velocity (the rate at which data is being collected per hour). You can also use filters to isolate specific types of searches: For example,
The Status filter helps you identify which searches are running in real time or have been paused.
The Sources filter lets you display only those searches collecting data from specific data sources.
For more information on the new All Searches landing page, please click the below:
Search setup
To get started using Pulsar TRAC, you will need to create a search. A search is created by clicking the green "New Search" button on the All Searches page.
You can also create a new search if you are already in an existing search by clicking on the New Search button in the bottom left corner:
🚨 Important: Searches can only be created by users with Admin or Super admin permissions, so if you do not see this icon, you do not have these permissions.
Types of Searches
Pulsar TRAC gives you the option to create a Topic search, Panel search, or Content search.
Topic Search: Allows you to track a set of keywords, hashtags, and phrases using simple or advanced boolean logic.
Panel search: Enables you to monitor authors or communities of users to understand their conversations on various social channels like X, Facebook, Instagram.
Content search: Allows you to track URLs to see how many times a particular piece of content has been shared across data sources and what people are saying about it.
Once you've selected your search type you will be need to type in a search title and then select the data sources you wish to capture results from.
Then you'll need to select from our two methods of creating your searches: Boolean or Wizard. Note that you cannot create a Panel search using the Boolean editor, only the Wizard option is available for this type of search.
Boolean Option
Boolean is a query language consisting of the use of logical operators such as ORs, ANDs, AND NOTs and other advanced operators to allow you to be specific about what results you'd like the platform to capture.
Here's an example of simple boolean, whereby we are trying to collect content that mentions certain types of fruit juice:
(apple OR orange OR mango OR cranberry) AND juice
Here's what it would look like in the boolean editor, available during the search set up step in the platform:
The following links give more information on how to use Boolean, our suite of operators and examples of how they work:
Wizard Option
Though the wizard method follows the exact same principles of boolean, it is designed to provide a simpler way to input your keywords into the platform. For example, rather than typing AND you should use a comma instead and press enter after each combination. Here's an example of typing in keywords using the wizard, whereby we are trying to find content that mentions of certain types of fruit juice:
apple, juice (apple AND juice)
orange, juice (orange AND juice)
mango, juice (mango AND juice)
cranberry, juice (cranberry AND juice)
Here's what it would look like in the platform:
For a detailed walkthrough of setting up a search, click into these:
Collecting your Data 📡
Data Sources
Once you've created your search, you'll need to launch your search and then start collecting your data. You can collect your data in realtime only, historically only, or a combination of both.
Different data sources have different historical data capabilities and some don't provide historical data at all, such as Instagram and Search data. To see our full breakdown of data sources and what is possible, click below.
Collecting Real-time Data
Real-time data collection means collecting data from the moment you initiate a real-time search onwards.
You can schedule real-time collection to commence at a later date in the future or start collecting data immediately.
Real-time collection can run infinitely, can be manually paused, or you can set a date in the future when you want the data collection to automatically stop.
Posts are collected at regular intervals, 247, and the frequency of data collection during a 24 hour period depends on the data source, for example, real-time X data is collected every 90 seconds.
📝 Note: Real-time data is available for all TRAC data sources.
Top Tip: When using TRAC to collect posts related to a time-limited event or campaign, you can schedule an end date for the real-time data collection to cease.
Collecting Historical Data
Historic data is content from the past, which is delivered to your TRAC searches based on a time period you specify. A search can contain both real-time data and historical data; or can have real-time data only; or can have historical data only.
To help you manage the amount of data you will collect historically, every historical data order comes with a data volume preview. If you are happy with your volume previews, you can proceed with launching your historical data collection.
📝 Note: All historical data orders, up to 250K, are authorised automatically by the system, whilst orders above 250K will require authorisation by customer success or an account manager.
Not all data sources have historical data access. Click here to learn more about historical data availability.
🚨 Important: It's vital to monitor your data usage in order to ensure you are staying within your team's monthly allowance. The following article provides a tutorial on how to manage your Data Usage.
First-Party Data
Using First-Party Data as a data source allows you to upload your own data to Pulsar TRAC. A search can contain a combination of First-Party Data and other data sources. You will be able to analyse this data as you would with any other data source. In order to add First-Party Data, you must upload a CSV file and map the data to our platform-specific fields.
See the following pages for more details on First-Party Data including instructions on how to upload your data:
Reviewing your Data 🔎
Metrics + Data Analysis
The data in your search is analysed in many different ways to help you uncover meaningful insights. The first thing to understand is the key performance metrics you'll see in the platform which help to measure your results. Here is a run down:
Volume: Number of posts, results, or pieces of content that your search has gathered.
Further details about the Volume metric can be found here:
Engagements: A reaction to a post, a share, or a comment. This varies depending on the social channel. There are two types of engagement data that we receive from various social channels:
Actual piece of content (retweets, comments, etc.)
A count or number (comment counts, like counts, share counts, etc.)
For more information on Engagements see the following page:
Social Impressions: Number of times a post has been displayed in a timeline, regardless of whether the post is clicked on or not. TRAC measures two types of impressions:
Potential Estimated Impressions (PEI): The potential amount of times a post has appeared in a timeline. This gives you an indication of how large the potential audience may be.
Actual Estimated Impressions (AEI): Uses channel-specific benchmarks and is calculated as a percentage of PEI. This attempts to predict the actual times a piece of content was delivered to a timeline. This percentage is dependent on the average impressions each channel generates.
For details on the Impressions metrics, see the following page:
Visibility: A score assigned to each post designed to measure the impact of a piece of content. The Visibility score is calculated by taking into account the following
Type of media and the quality and richness of the content posted
Channel the post is published on
Size of the audience of the author
Engagement generated by the post
See the following page for more details on Visibility and how it is calculated:
Media Reach: Media Reach is an important metric that helps to measure the size of the potential audience of a piece of content. We call this Potential Media Reach. On Pulsar, this metric applies to media monitoring data sources like Online News, Print and Broadcast content, and is used to provide an estimate of the number of people who have read or viewed a piece of media. In a similar fashion to how Social Impressions on social media help measure the effectiveness of an Ad Campaign, measuring your Media Reach provides great insight into your PR Performance.
See the following page for more details on Media Reach here:
Velocity: Velocity is the speed at which conversations happen around a specific topic. It looks at the rate at which data has been collected in your search, per hour, giving you an additional lens to understand the scale of the conversation, not only in its totality, but spread over a period of time. The metric is accompanied with a previous time period comparison, so you can understand if velocity is trending upwards or downwards, which can be either a good thing, or a bad thing.
See the following page for more details on Velocity here:
Advertising Value Equivalency (AVE): AVE stands for Advertising Value Equivalency and is used to reveal the monetary value of unpaid content. Through a variety of metrics and calculations, AVE estimates the cost it would have been to advertise a particular article, piece of content, or interview, had it been paid for. These metrics and calculations take into account the size and reach of an article as well as the prominence of the publication. Understanding AVE is essential in obtaining a valuable evaluation of the effectiveness of public relations outreach and media relations programmes.
See the following page for more details on AVE here:
Social Shares: Social shares are the number of times that a news or blog article has been shared on social platforms. This metric can help you measure the popularity of content and allows you to have a better sense of how media coverage around a specific topic is being received and shared on social media. On Pulsar Social Shares is a metric we get from Facebook, so it represents the number of times a URL has been shared or liked on Facebook. We also factor in this metric when calculating Media Reach and Visibility, as it's a strong indicator of how many people have read and been impacted by a piece of content.
See the following page for more details on Social Shares here:
Advanced Data Analysis Modules: Pulsar TRAC analyses your data in many different ways, applying language and location detection, sentiment, keywords and topic analysis, as well as more advanced AI analysis such as emotions, entities, credibility, demographics etc. Find out more on our incredible analysis here:
Navigating TRAC - Overview
Snapshot
The snapshot is the first tab you will land on once your data is loaded in and you are ready to start analysing your results. The snapshot is a selection of visuals and analysis all found in one scrollable page to provide an overview of your results.
Don't forget you can change the time frame you are focused on (defaults to last 30 days) and apply a filter if you'd like the snapshot to be focused on a particular element of your search results.
Narratives
Narratives is data analysis approach that acknowledges that conversations and views about a specific topic are not homogenous, and that different people in that same conversation will almost always discuss the same topic differently. This teaches us to think about these conversations in terms of clearly defined clusters of conversations i.e. narratives!
Narrative analysis leverages our existing conversation clustering, popularly known on TRAC as segments. Firstly, we analyse the dataset to extract the top 5 themes that are dominant in the search, as shown below, providing you with a succinct summary of the entire conversation, at any given time.
For more information on narratives and how it can be utilised to analyse your data set, click here:
Audience Insights
The Audience Insights section helps you to understand more about the audience having the conversation. Dig deeper into the demographics, communities, influencers and audience networks behind your results below.
Demographics
The demographics tab, shown above, provides valuable insights into the audience behind the online conversation that you are analysing. We break this down into the active audience summary, locations and languages used, as well as providing insights via biographic data, which is how the audience describe themselves in their profile bios. We break biographic data down by most used bio keywords, emojis, gender or location.
To find out more about the demographics section, please click the button below:
Communities
Communities are different groups within your audience that discuss the same topic but in their own unique ways. By segmenting your audience based on these communities, you can better understand and cater to the different interest profiles (e.g. football mums, tech journalists) of the people engaging with your content. The Audiense integration can be done here to further segment your audiences.
To find out more about the communities section, please click the button below:
Influencers
The influencers section shows you which authors have the most influence in your search. This allows you to better understand more about the creators and publications who are driving the online conversation you're analysing. It's important to note that 'influence' can be defined in multiple ways; this is why we've given you the option to switch between different metrics when measuring influence within the realms of an online conversation.
To find out more about the influencers section, please click the button below:
Network
The network tab within TRAC contains our "influencer network graph". This is a powerful visual that allows you to map the way people engage with each other across any data source that has an engagement relationship between two or multiple authors.
To find out more about the network tab, please click the button below:
Content Insights
The Content Insights section digs deeper in your results to better understand the content, keywords, topics, hashtags, topics, entities, search data, location and sites. Within each tab, there are a few types of graphs to enable you to visualise your data in a way that best fits your needs!
Timeline
The timeline tab shows you the volume of conversation over time as well as how the content in your search has performed over time in terms of other metrics like impressions, media reach, visibility or AVE. If you keep scrolling down in this tab, you can see the sentiment and emotion analysis of the posts, top data sources over time (where the conversation is happening) and any misinformation analysis of news content over time.
For more details on the timeline section and the many ways you can use this to visualise your data, please see the following page:
Content
Content provides you with a visual representation of the top content within your search, which can be sorted based on several different metrics. This visual is useful for monitoring online presence and gaining insights into the performance of your social media content. By analysing the top-performing content based on different metrics - Engagements, Media Reach, Likes, Visibility, AVE - you can better understand and mould your social media strategy to better engage with your audience and increase your online visibility.
For more details on the content and the many ways you can use this to visualise your data, please see the following page:
Hashtags
Hashtags are much like Keywords, but add a more structured aspect to the organic and unstructured conversations we engage in on social media. The Hashtags page allows you to identify patterns in the data and posts related to a specific theme. Being able to visualise hashtags separately from keywords is helpful given that hashtags are often more succinct. This provides you with another lens to understand conversation, sentiment, and emotion.
This section breaks down the data into easy to read visuals, such as treemaps, segments, word streams, word clouds and bundles.
For more details on the hashtags page and the many ways you can use this to visualise your data, please see the following page:
Keywords
The Keywords section lists the most commonly occurring words in your results. You'll be able to easily see which of these keywords are used more often than others, as well as what data source these words come from, the sentiment behind these words, and much more. There are a few types of graphs you can toggle through to visualise your data in a way that best fits your needs!
For more details on the keywords page and the many ways you can use this to visualise your data, please see the following page:
Topics
Topics provide a more in-depth look into the conversations around your search. Unlike Keywords, which analyse single words only, Topics takes things a step further by analysing how these commonly used words relate to each other and providing a visual of these reoccurring phrases and themes.
The Topics is grouped into the following visuals: Treemap, word clouds, segments, word stream and bundle.
For more details on the Topics page and the many ways you can use this to visualise your data, please see the following page:
Entities
The Entities tab identifies and classifies named entities referenced in tweets, posts on Facebook, Instagram, news articles, and even broadcast or podcast transcripts. Entity classification also addresses disambiguation, so helps distinguish entities with similar names.
For more details on the entities page and the many ways you can use this to visualise your data, please see the following page:
Search
The first visualisation here you'll likely encounter is the "Search Questions" diagram. This visualisation provides insight on the most commonly asked questions on Google from the keywords that you are tracking.
Underneath the Search Questions diagram, we have the "Search Comparisons", "Search Connections", and "Related Searches' diagrams.
Underneath the Search Questions diagram, we have the "Search Comparisons", "Search Connections", and "Related Searches' diagrams.
To find out more about the search tab, please click into the below article:
Sites
The Sites chart displays the top domains where the data for a search is coming from. You can view this from a Volume, Media Reach, Impressions, Visibility, AVE or Credibility viewpoint.
More details on the sites section can be found here:
Locations
The Locations tab helps you understand the geographical location of the authors of the posts in your dataset. You can scroll down to the different charts which will show you three different views on this page: Country, City, and Geo- Coordinates. While on the Country or City view, you will be able to see the overall Sentiment of posts from that area.
For more details on how the location for each data source is analysed and other information relating to the Locations dashboards, see the following pages:
Filtering
You can apply filters at any time to your search to narrow down your results you are viewing. You can find it by clicking on the filter button in the top right-hand corner of the platform.
There lots of different ways you can filter your results. Don't forget that you can select multiple at a time to layer different criteria:
Keywords: Allows you to specify a date range or keywords. Only posts that fall within the date range and/or contain the specified keywords will be shown.
See the following page for more details on the syntax used in the Keywords filter:
Target: Gives you the options to filter by post type, media type, sentiment, data source, domains, and/or tags.
Demographics: Allows you to filter by gender (male, female, or unknown), bio (if X has been chosen), cities, countries, and/or languages.
Authors: Lets you filter for specific single authors or communities of authors. Communities of authors are detected after segmenting an audience from the audience tab.
Analysis: allows you to filter through your data via our AI modules from the following: Emotions, credibility, image tags, image text, and entities.
Metrics: Used to narrow down results to view all posts in the dataset based on the following key metrics: followers of the user who has posted and/or likes, engagements, visibility, impressions, AVE, credibility, and the duration of each individual post.
You can save your filters at any time to easily come back to them later. Simply curate your filter criteria and hit 'save filter' in the bottom left corner of the filter box.
Saved Filters: Allows you to access all of your saved filters. Saved filters are created in three different ways: Regular filters (ones you've created and saved), custom charts (filters from any custom charts you've built) and Audiense reports (filters created from Communities segmentation).
Feed
The Feed section shows all of the results you have in your dataset and allows you to manage the data that is feeding your data visualisations.
Results
By clicking on the results tab you can see every single piece of data captured in your search, and you can sort these results based on published date, visibility, engagements, impressions, or likes.
💡 Top Tip: You can filter this view to find specific results.
You'll also have the option to tag posts and override locations, language, or sentiment.
To create/add a tag, click into a post, and then in the right hand corner you'll see the Tags button. Click on this and you can tag the post with one that exists, or create a new one by typing it out in the search bar.
To override location, language, or sentiment, simply click into a post, hover over the three boxes for these and you can edit them to the correct one.
For more info on the Feed tab, click into the article below:
Exporting Results
You have the option to export your data in multiple forms to suit your workflow and give you more flexibility around your reporting.
Download options for visualisations
PNG image with a transparent background
XLS export (Raw Data)
Scalable Vector Graphic Image (SVG) is available for Chrome, IE, or Firefox users.
More details on the export options available can be found here:
Trash
The trash tab houses any results you have deleted from your results. Sometimes you may receive results that you do not want to include in your report. In this case, you can simply and quickly delete these posts from the Results page.
Depending on the number of posts you have selected to delete, the Results page may take a few minutes to update and reflect your changes. Visualisations in the dashboard (eg. graphs shown in the Content tab) may also need a few minutes to update.
For more information on deleting posts, including how to recover deleted posts and view a history of deleted results, please see the following page:
Rejected
The Rejected tab shows you posts which have been rejected automatically by the platform. This would typically be because they are duplicates or do not meet your search set up criteria.
🚨 Important: If a location is unknown and you have a location specified in your search set up, posts will automatically be rejected.
Reporting 🛫
Dashboards
Dashboards are used to organise charts into a single customised view, which you can then schedule as automatic reports. To build these out, you can use our pre-made dashboard templates or you can totally customise from scratch to include Pulsar's standard charts or create your own visuals.
Existing Dashboards:
Create Dashboard:
The following page give more information on creating dashboards and automated reporting:
KPI Alerts
KPI Alerts are super useful to keep a pulse on important aspects of the online conversations you are tracking. KPI Alerts are used to notify users when sentiment, visibility or volume increases/decreases in your search based on a rule that you set up. You can access KPI Alerts from the Reports menu, on the left hand navigation bar of your search.
For more information on creating KPI alert, please click on the below article:
Email Digests
An email digest can be useful if you need to keep an eye on the content being captured within the platform, but prefer to receive this in email format. The templated email with provide you with an overview of key metrics and the top 50 results (ranked by your chosen metric) within a specific timeframe.
For more information on creating email digests, please click on the below article:
Managing your Search ⚙️
You are able to manage your current search by navigating to the Search Management page using the following icon:
The following tabs can be found in Search Management:
Status: You can view how long a search has been running as well as stop or resume collecting data for the search. You will also be able to order or preview historical data here.
Summary: Shows a full overview of the search as created in the search setup as well as any changes made by Pulsar users in your team. Allows you to review and edit the search query. Any changes made to the search Summary will only be reflected in real-time, i.e. from the point the changes were made.
Tags: In this section, you can create your own taxonomies which can be used to tag and group your results. You can also edit or delete tags within this section.
Exports: Shows you the status of all exports made on this search. You will also have the option to download or delete these exports
Graphs: If you are making a Gephi export for your Influencers Network graph you can download the export from the Graphs page. You can also delete the Gephi exports from this page.
Analysis: Allows you to view the progress of any current ongoing analysis on your data set.
🚨 Important: Please note that these actions will only be available for Super admin users.
For more details on how to edit your search in the summary tab:
We hope you enjoyed reading this article! 📚
If you have any questions or would like to learn more, please don't hesitate to reach out to our support team via live chat. 🚀












































