It’s a been a little while since we took a deep dive into a channel. This time, let’s try Reddit! In case you didn’t know, as of July 2024 Brandwatch has a direct “firehose” into Reddit, offering richer metadata and direct Reddit access.
Note: Reddit does not provide Location Data to us. When filtering in your dashboard to certain Locations, Reddit data will not appear. Setting Location as Worldwide is the only way to ensure Reddit data is returned in your Query.
Operators, what you need to know:
Operator | Example | Description |
| subreddit: cars AND tesla | Returns all posts and replies belonging to the named subreddits |
AND / OR
| subredditTopics: cars | Returns all posts and replies belonging to any subreddit whose title has the keyword “cars” within it. You can use extra boolean here to get more specific. |
| weblogTitle:AlexTheGreat | Returns all posts by a specific author/username on Reddit or other forums. |
AND NOT (engagementType:COMMENT) | helps to isolate original posts only in Reddit (not the threaded comments) |
- If you search for
subreddit:nameofsubreddit
you will return a list of authors who posted in that subreddit in the last 30 days - You don’t need to include r/ with the operator
- subreddits names are case-sensitive, so is this operator
- For Reddit, we use the operators
parentPostId
androotPostId
instead ofengagingWithGuid
subredditTitle
has been deprecated but will work on historical data up to 24th June 2024 (case insensitive)subredditTopics
is the new operator capturing data from 17th September 2024 (case sensitive)
There is a period of 85 days in which no data is available.
Our Firehose connection to Reddit pulls *everything*, this mention in r/cars is 5 levels deep, for example.
subreddit:cars
"BMW" AND "subscription service"

To learn more about our Reddit Coverage, read our Help Center article.
URL Format Change: Prevents breaking the Single Mention View. Clients must update their queries/filters, ideally using the guid operator.
Any client using the url
operator to query or filter Reddit content will need to update their query/filter. An alternative to using the url
operator is to use guid
, which is the recommended method of calling the content. (Using the example below, guid:1eb8enf
.)To give an example of the change, where we once received the url format
https://www.reddit.com/r/electricvehicles/comments/1eb8enf/trying_the_finger_test_on_a_brand_new_chevy/
Should be replaced with:
https://www.reddit.com/r/electricvehicles/comments/1eb8enf
Engagement score & finding Reddit Communities
Consumer Research users can now use Engagement Score Broken Down by Top Sub-Reddits. It should be useful for the following reasons;
-
Instantly find subreddits within your Query based on Engagement
-
Help you find emerging and active communities to tailor comms, advertise and engage with
-
No longer are you wasting time finding a community/subreddit to work with! Discover it in seconds.
Try Engagement Score vs Top Sub-Reddits over time: Great for being able to spot what emerging community is worth your time! You can then of course create a list of these and begin to dive into the data that way too.

Engagement score Benchmark Component can help you understand where conversations and interactions are taking place.

Diversifying data sources: How to get value from Reddit data
If you can understand the consumer opinions and insights that bubble up in Reddit – one of the world’s 20 most popular websites, according to Alexa Internet – you will improve your understanding from the community that crowdsourced many of the Internet’s biggest breaking stories, memes and deeply researched reviews. Reddit is a vibrant, interesting source of public Digital Consumer Intelligence, yet the reality is that many brands still haven’t tapped into the community and the rich insights that can help improve their products and services.
Join Reddit’s own Ash Dunn and Adam Brons-Smith from Brandwatch to hear how you and your organization can learn from Reddit’s collective intelligence to drive your market and consumer research programs.
Finding Influential Redditors
Found a Community of interest? Now you can think about finding redditors of interest.
Did you know you can search for Reddit authors (bio descriptions) in Social Panels editor, similar to how you searched for X authors.

Consider using Author Karma and/or Reddit Score, to identify those speaking with authority in the subreddit, by setting a Minimum value.

If the subreddit in question has a moderating system that involves applying Author and/or Post Flair to, this can help you identify a number of user attributes depending on the system in place eg location as shown in the example below.

To do this, find the Columns drop down in the Mentions widget.

Here are a few other examples of how you might see flair used:
-
In a subreddit about a football team, user flair might show which player is your favourite.
-
In a subreddit for asking questions, post flair might show if the question has been answered.
-
In a subreddit for a video game, user flair might show off your in-game rank or achievements.
Trend Identification
Reddit is a great source of trends and category level insights.
How communities drive trends on Reddit
Reddit is often an early adopter of internet trends. Monitoring popular subreddits can be useful for creating relevant and timely content that resonates with a broader audience.
In this webinar, filmed at the London masterclass 2024, our in-house experts will provide you with valuable tips and advice into using Reddit as a research dataset.
You could do a quick query around the category in Brandwatch Search then filter by Reddit for some instant insights without using any mentions at all.

If you then save this query with the Reddit filter switched on you won’t be using as many mentions as you would do a broader query and you could then develop further by using the Top Subreddits component to find some specific subreddits and create a secondary query looking at all mentions from those subreddits. This is great as you’re not biasing the data by using any specific terms in your query, you’re just collecting everything from those subreddits - perfect for seeing new trends!
Here’s an example that started with a query for “Frizzy Hair”

So on this topic I’d maybe create a query like this subreddit:(wavyhair OR curlyhair OR curlygirl)
which would give me a nice clean dataset as everything would be on topic.
This also works with just one Subreddit in a lot of cases.
Coming soon: Signals for Reddit Threads. Subscribe to our Product Updates to be the first to know.
See more posts in the Boolean Explained series here.