An Introduction to Brandwatch and Social Data

BrandwatchGo Study Guide

The following guide covers key lessons from each of the fourteen lessons. Use this guide to help prepare for the quiz.

An Introduction to Brandwatch and Social Data

I. What is Brandwatch?

· Brandwatch Analytics is the world’s leading social media monitoring platform

· The platform collects mentions from over 80 million web sources

· Brandwatch Vizia is a data visualization command center, fueled by social data

· Brandwatch is used by thousands of enterprise clients around the world

· It can help brands find mentions of competitors, customers, products, and more

II. What is social data?

· Social data is any mention (posts, comments, tweets etc.) posted publicly on the web

· These mentions are collected in real time by social media monitoring platforms

· Social listening vendors typically charge brands between $500 - $10,000 a month, depending on the amount of data required

III. What are Brandwatch’s data sources?

· Brandwatch collects data from a number of different publicly available sites, including social networks, blogs, forums, video / image sites, news sites, review sites and more

· Brandwatch can collect data in over 44 different languages

· Data is collected in real time and can be tracked historically

IV. What can student users expect from Brandwatch?

· Brandwatch Student Ambassadors will be given 200,000 mentions per month

· They will have unlimited access to the Brandwatch help center

· Their account will be active for three months for free

Queries

I. What is a Query?

· A Query is a search string that tells Brandwatch what data you want to collect

· Queries are created adding context terms (the thing you wish to search for) and boolean operators (the parameters you wish to search by)

II. What are the Boolean Operators?

· Boolean Operators are terms used to structure your Query

· Quotes = “apple juice”, will return mentions including the exact phrase 'apple juice'

· The AND operator = apple AND juice, will return mentions where 'apple' and 'juice' are found on the same webpage

· The OR operator = apple OR juice, will find mentions of ‘apple’ or mentions of ‘juice’ on any webpage

· The NOT operator = apple NOT juice, will find mentions of ‘apple’ on a webpage as long as ‘juice’ is not mentioned on that same webpage

· Brackets () = (apple AND juice) OR (apple AND sauce), will find mentions of ‘apple’ and ‘juice’ on the same webpage or mentions of ‘apple’ and ‘sauce’ on the same webpage

· The hashtags: operator = hashtags:oscars, will return Twitter and Instagram mentions containing the hashtag ‘#oscars’

· The at_mentions: operator = at_mentions:katyperry, will return Twitter mentions containing reference to the @KatyPerry Twitter handle

· The raw: operator = raw:M&M, will return mentions containing the phrase "M&M", specifically with capitalized Ms and an ampersand symbol. This would not bring back mentions of "M & M" or "m&m" as the raw: operator only brings the exact search term. Note that usually queries are not case sensitive

· The wildcard operator * = complain*, will return mentions that contain the root word complain, e.g. 'complain', 'complaints', 'complained' etc.

· The wildcard operator ? = customi?e, will return mentions all mentions where ? can be replaced by another letter, e.g. 'customise', 'customize'

· The NEAR/x operator = ((apple) NEAR/5 (smartphone OR phone)), will return mentions where 'apple' is within 5 words of 'smartphone' or 'phone’

· The site: operator = apple site:twitter.com, will return mentions of the phrase ‘apple’ on the website Twitter.com

· The url: operator = “Simon Cowell” AND url:msn.com/news, will return mentions of the name ‘Simon Cowell’ on the news section of the MSN website

· The links: operator = links:msn.com, will find mentions containing links to the msn.com website.

· The title: operator = title:”apple juice”, will return any mentions where 'apple juice' appears in the page title of a website

· The author: operator = author:justinbieber, will return mentions across all page types written by a specific author name, e.g. tweets, blogs or forums, by any author called justinbieber

· The location operators = “apple juice” AND country:uk , will only return mentions containing the exact phrase ‘apple juice’ that have been identified as from the United Kingdom

Dashboards:

I. What is a Dashboard?

· A dashboard is a template that allows clients to view their data

· Dashboards can be fueled by data from either Channels or Queries. Each Dashboard is housed within a Project

· Dashboards contain a number of segments called components which present data in a variety of different ways

II. Different Dashboards

· There are ten dashboards available, Summary, Facebook, Twitter, Instagram, Influencers, PR, Reputation, Trends, Demographics, Default (old). You can also build your own Dashboard from scratch using the Blank option.

· The default dashboard comes with seven ready to use tabs:

· Summary tab: A basic overview of the data in your query

· Twitter tab: Multiple components showing Twitter specific information

· Top sites tab: Information regarding the top sites in your query

· Authors tab: A breakdown of authors within your query

· Topics tab: Showing a word cloud with the top words and phrases within your query

· Charts tab: Two charts showing sentiment and page type over time and one showing sentiment by page type. All charts can be customized

· Mentions tab: The individual mentions that make up your query

III. Using Filters within a Dashboard?

· Every Dashboard can be filtered in a number of different ways. For example, sentiment, location or time