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Are you bringing in irrelevant mentions? Sometimes key terms need some additional context. The NEAR/ operator will help with that. Let’s take a deep dive…What is the NEAR/ operator?By utilising the NEAR/ operator we can find mentions within a certain number of words from each other. How many words? Your choice, just place a number after the operator to choose the distance between the words its working with. This gives the flexibility to target different word types and sentence structures.Using NEAR/ Using NEAR to understand opinions  NEAR with Japanese language (and other similar languages) Using NEAR/ to understand if there is media contained within posts Finding keywords mentioned multiple times Using NEAR/(((Christmas OR Xmas) NEAR/2 (Gift OR Present))Using Multiple NEAR/ OperatorsNEAR/ is great for adding context, but maybe it's not enough. Try using multiple NEAR/’s. By continuing your search string with another set of NEAR criteria you can continue to refine the search and releva

Hi Bulletin fans 👋This month we've done a deep dive into the biggest trend on BookTok right now: Onyx Storm. If you haven't heard of this best-selling novel, you're missing out – as it's taking the internet by, well, storm.We've taken a look at what brands can learn from the rise of Onyx Storm, which has quickly become the fastest selling novel for adults in the last 20 years (pretty impressive, right?).If you'd like to give the Bulletin a read, you can do that here.For any Community members wanting to take a look deeper into the data themselves, here's the main query* we used:"onyx storm" OR (onyx NEAR/3 storm)*Note: Due to sample sizes, timelines, and data source differences, the data you pull might appear different to the data in the Bulletin.Interested in identifying trends on Reddit? Check out our most recent Boolean Explained article.Have you read Onyx Storm? I’d love to hear your thoughts on this month’s Bulletin below 👇

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  subreddit: cars AND tesla  Returns all posts and replies belonging to the named subreddits  subredditTopics  AND / OR subredditTitle  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  weblogTitle:AlexTheGreat  Returns a

Hello Community!We’re taking a look at Review data and some tips and tricks you can use to get the most out of your query. This article will help you find Reviews of your products, services or organisation – on indeed all of the above for competitors and there is a lot to cover so please bear with me. As always, any questions please fire away in the comments and someone from Brandwatch or the Community will hopefully come back to you. We collect Mentions from a range of Review sites including Google Play, Apple App Store, OpenTable, Flipkart, Steam Community, Best Buy, Glassdoor, Review Centre, Reviews.io, eBay, CNET, Amazon, TrustPilot and more, using our third-party data providers. We can also add coverage for particular product reviews upon request. To do this, please contact support@brandwatch.com Full list of included sources:AgodaAvvoExpedia  (Only hotel reviews)Facebook (Only publicly available)GoogleGoogle PlaystoreGoogle ShoppingZomatoAirbnb AliExpress  (.com, .us, .ca. co.uk)

Hey 👋 I'm Emily, the writer of this month's Brandwatch Bulletin!This Bulletin dives into New Year's resolutions. In it, we aim to help brands discover why people aren't as interested in goal-setting this year, and why marketers should tailor their messaging to an audience which is less focused on hard-hitting goals, and more on slower, more sustainable resolutions.If you'd like to give the Bulletin a read, you can do that here.For any Community members wanting to take a look deeper into the data themselves, here's the main query* we used:"my resolution" OR ("new year" AND resolution) OR "new year's resolution*" OR "new year resolution*" OR "new years resolution*" OR resolution*Note: Due to sample sizes, timelines, and data source differences, the data you pull might appear different to the data in the Bulletin.Do you have any resolutions of your own or questions about the Bulletin? How to use this query as a brandWhy not add relevant words to this query string to see how your brand ca

Every Friday we publish data on consumer trends, the events of the day, and everything in-between. That’s the Brandwatch Bulletin. You can find out more and sign up here.From today, I’ll do my best to bring you the actual queries behind the bulletin each week so the Community can workshop them and even leverage them for yourselves. It would be great to get some of our Community members’ take on trends they’re noticing within their respective markets and if they have any tips + tricks to share?  @Oliver Dobson @Malcolm-M @FranP @Samantha @Pete F @Lonje  This is the latest bulletin which discusses the 22 most watched streaming shows that got people talking in 2022, and here are the queries from it;  Query 1: Top 15 most watched original streaming TV shows of 2022 (based on Neilsen data). Note: All shows were on either Netflix or Prime Video, which is why those were included as caveats via the AND function).(“stranger things” OR “ozark” OR “wednesday” OR “cobra kai” OR “bridgerton” OR “vi

Let’s talk query exclusions and how to filter out data you don’t want. Firstly, we have a dedicated topic for sharing query strings. Have a search in here and please add your own to help the Community. On to the tips and tricks;  Filtering images using Object IDs Explicit content often comes in the form of images on X (Twitter), and cannot always be filtered by Boolean or AI because the text is similar to relevant data you might want to track. As such, we need a solution leveraging metadata instead. To do this we use Object IDs, take a look at this exclusion example for pornographic content: (objects: (3093 <<<active undergarment>>>OR 3388 <<<art model>>>OR 4081 <<<barechestedness>>>OR 4097 <<<banana family>>>OR 3873 <<<bed>>>OR 3930 <<<bedroom>>>OR 4160 <<<bedtime>>>OR 3411 <<<bikini>>>OR 3316 <<<bodybuilding>>>OR 3283 <&l

Hello Community!It’s been a while since we’ve taken a look under the hood at query writing. Well, we’re back with a look at Brackets/Parentheses in our Boolean Explained Series.  Case Sensitive Data The raw operator has been retired in favour of pointed brackets { }. To return case sensitive results, just place the phrase you’re looking for inside the brackets.  Not case-sensitive: British Telecom OR BT Will likely find mentions of both “British Telecom” and “BT:, but might also include misspellings of the word “but” or the acronym for “Bad Trip”, because we haven’t specified that BT must be case-sensitive (which is how references to the brand BT are typically written).Case-sensitive:  British Telecom OR {BT} This query specifies that BT should only be included if it is written in the same case-sensitive format as the word inside the pointed brackets.  Note: Will only retrieve Mentions where upper case letters are used in the exact way specified inside the brackets. Upper case matching

Hi all! The continuing rise in popularity of Generative AI tools like ChatGPT provides an opportunity to augment human creativity and paves the way for optimising strategic planning and decision making. With that in mind, we had to do a deep dive into it...All of the below is connected with using tools outside Brandwatch to help you write killer queries. However, we have AI tools of our own too, which you might already be using. If you are and could do with a refresh or if you’d like to learn how to use them, then head to the bottom of this post for details of an exclusive webinar hosted by @Ed Chapman from our Academy team. Using ChatGPT to help write queriesAsking for help to identify a boolean error  List out different variations of a topicThis is particularly useful when creating categories, e.g different flavours and garnishes of daiquiri to help create categories for a pie chart answering the Q on which flavour/garnish is most spoken about. Quickly understand a topic with concise

Hi allAnother channel special this month, following our popular Tiktok one last month. As always, if you have any tips yourself to share - please do so! And if you’ve found this post useful, show it some love 👍🏼 Note: YouTube Shorts Data is not pulled via our crawlers.Find out more about Youtube mentions and metadata in this Help Center article Find YouTube channels that post about your brandWe’ve got a whole topic dedicated to this one thanks to @Jennifer Wilder If you are interested in tracking comments for a particular video or wish to track all videos and comments posted by a particular YouTube channel, please contact our Support team with the channel IDs. The team will check if we already cover the channel or video in question and if we do not, we will add it to our coverage.Note: We cannot guarantee historical data coverage when indexing new channelsNote: You should also add these channels or videos into your query Search the whole of Youtubesite:youtube.com AND “John Mayer”Not

Hello all! Thought we could take a deep dive into one of our Operators, in this case…. The * Wildcard OperatorThe purpose of the Wildcard operator is to find mentions that include the root of a word. It’s really useful for finding lots of variations on a word, without having to include them all in your query.For example, I could write a query that looks like this:Kiss OR Kisses OR Kissing OR Kissed OR KisserBut using the Wildcard operator, I can shorten that query down to:Kiss*The use of the * here instructs Brandwatch to find any word that contains the root Kiss.  Placement is everything with the Wildcard!Where you place the Wildcard operator in a word has a big impact on the output. For example, if I were to move the * towards the beginning of the word Kiss like this:Ki*Then this instruction tells Brandwatch to find any word that starts with “Ki”. Kids, Kin, Kim, Kissing, Kilogram, Kindling and many more would be captured by this query.Similarly, I can restrict the number of words fo

Let’s take a dive into the engagingWith: operator… Firstly, let’s get some context: author: captures posts by a person engagingWith: captures replies and shares of posts by a personYou can use engagingWith:rihanna to measure engagement as people respond to (or retweet) a post from the account, even if they don’t mention the word rihanna in the post. Mentions will be indexed when people have replied or Retweeted a post from the specified account. For Twitter, engagingWith: only looks at the immediate parent, so it will not pull all replies where there is a large tree of replies and sub-replies. For Reddit we have engagingWithUrl: which is always the root post of the comment chain, e.g. all comments and nested comments within comments will be found with the engagingWithUrl: operator querying the url of the original post.engagementType: is a refinement which you can add on, for example if you only wanted comments and quotes, not retweets, you could do engagingWith:rihanna NOT engagementTy

Every Friday we publish data on consumer trends, the events of the day, and everything in-between. That’s the Brandwatch Bulletin. You can find out more and sign up here.This is the latest bulletin which explores opinions is of the slang champions themselves: Gen Z.Slang can serve many purposes, including bridging a gap between brands and audiences by expressing identity and solidarity. With good slang in your arsenal, you remain relevant. But misusing slang can do the opposite and actively put people off your brand. As always, here’s the query and a question or two for our community... era OR rizz OR "the ick" OR "nepo baby" OR iykyk OR slay OR "fell off" OR gatekeep OR situationship OR drip OR "it's giving" OR "vibe check" OR bussin OR sus  How might you put this query to use? Do you have an tips or changes to the query, when it comes to understanding Gen Z and query writing?  

Hello, a client, whith  realy great concerns about informatics security, ask us if is posible to have, en SMM, two different roles of administrator: one for assign users and roles, and the other for all the rest of functions. I don't say is rational...but is a client. Regards

Hello, anybody knows when Twitter and the others channels will be included in the new Benchmark functionality in Social Media Managment?.  Now are only Facebook & Instagram. And the others features of Unmetrics?. Clients are asking me. Tanks you! 

Every Friday we publish data on consumer trends, the events of the day, and everything in-between. That’s the Brandwatch Bulletin. You can find out more and sign up here.This is the latest bulletin which discusses the power of sharing customer experiences in the retail industry.We’ve long gotten used to seeing people use social media as a platform to discuss their experiences with brands with their network. So this week, we explore the question: How do we feel about our experiences with retail brands?Here’s the query...((""customer service"" OR ""customer care"" OR ""customer support"" OR ((""self-service"" OR ""self service"" OR checkout) NEAR/10 (""store"" OR ""instore"" OR ""in store"" OR shopping OR buying OR ""on the website"" OR retail OR ecomm OR ecommerce OR ""e-commerce"")) OR ((""live chat"" OR chatbot OR ""chat bot"" OR AI OR bot) NEAR/10 (""customer service"" OR ""customer care"" OR ""customer support"")) OR (""virtual try on"" OR ((""try on"" OR ""tried on"" OR ""trying on

Every Friday we publish data on consumer trends, the events of the day, and everything in-between. That’s the Brandwatch Bulletin. You can find out more and sign up here.This is the latest bulletin which discusses the controversial topic of whether ketchup in the fridge, toilet paper and reheating pizza... It’s a simple query, sure."ketchup goes in the fridge" OR "ketchup doesn't go in the fridge" OR "ketchup goes in the refrigerator" OR "ketchup doesn't go in the refrigerator" But from a simple query, much can be learned about how a customer might be using your product or service. E.g. Toilet paper. And from that learning, content can be created, marketing can be adjusted and much more.  Now a question for our Community… Do you have an example of a particularly simple insight that has had business impact? What about you? @Adam Mills @Peter J @Sherine Mahmoud @Terra Emerson @Charelle Johnson  

Every Friday we publish data on consumer trends, the events of the day, and everything in-between. That’s the Brandwatch Bulletin. You can find out more and sign up here. What insights were our Community able to take from managing this conversation? This is the latest bulletin which discusses the top themes and stats from IWD 2023and here are the queries from it; #InternationalWomensDayOR #womensdayOR #BreakTheBiasOR #IWD2022OR #IWDOR IWD*OR "international Women's Day"OR "women's day"OR "international Womens Day"OR "womens day"OR "IWD 2022"

In this week’s Brandwatch Bulletin, we discuss all things “WFH” and also… treadmills and it got me thinking.How have you leveraged emotion analysis to impact business decisions?  Here’s the extract which might inspire you…What makes people displeased with treadmill desks? First off, it’s the price. People expressing anger say they’re too expensive and won’t buy one because of the hefty price tag. Another negative point of discussion is the classic value-for-money debate. Some are convinced that this is just a passing fad and doubt very much that this is something they would actually use on a regular basis. Others wonder how they could possibly concentrate on work tasks while walking. Which begs the question: Would you be able to concentrate at the sight of your colleague’s head bobbing up and down on Zoom calls? Overall, people who have invested in a treadmill desk say they can walk on it while performing the usual duties of their jobs, including typing and attending Zoom meetings. One

Our most recent Brandwatch Bullentin covers all things ChatGTP. But one specific part of it got me thinking about how these emojis really told a story of how people felt about ChatGTP.  You can read the extract below. Do YOU have any examples you can share of how you leverage emoji analysis in particular? Let everyone know by replying below.   The technology evokes strong emotions We used Brandwatch Consumer Research to look into the emojis used in public posts relating to ChatGPT on social media, forums, blogs, and review sites between November 1 2022 and January 18 2023. Exploding head, robot, crystal ball emoji? Our emoji cloud practically spells out the conversation around how this mind-blowing AI chatbot has got people discussing what the future holds. And notice the index finger pointing down and the spool of thread emoji (roughly translating to “read the full thread” in emoji language) suggesting long discussions about this topic. Of course, emojis only pa