Using the Analyze Dashboard to Compare Saved Searches

After accessing a saved search, you can select the "+ ADD SAVED SEARCH" link to select up to 4 additional saved searches to compare results side-by-side! This is a great opportunity to compare coverage for related saved searches, such as your products, internal brands, external campaigns, spokespeople, or view the share of social media voice with your competitors.

Scroll down or click on the links below to learn more about how to use the Multiple Search Dashboards!

How do I select saved searches to view in my dashboard?

1. Click on the Social Listening tab.

2. Click on the Saved Searches tab on the Quick Search homepage.

3. Select a saved search to open the Analyze page and display its metrics and mentions for up to the last 12 months.

4. Alternately, you can click on the button for the search you would like to select in the Recently Saved Searches section on the homepage.

5. If the saved search you are looking for is not listed in the Recently Saved Searches section, click on the View All link.

6. After selecting a saved search, the platform will open the Analyze Dashboard page to display its metrics and mentions for up to the last 12 months.

7. To select additional saved searches to compare to the saved search you have opened in the Analyze page, click on the +ADD SAVED SEARCH link and select the additional searches you would like to include.

Back To Top

How do I see the mentions for my selected saved search(es)? 

(Click here to see the metric widgets available when comparing multiple saved searches)

NOTE: Clicking into areas within the analytics dashboard automatically filters the mentions on the right to show the specific mentions behind a given insight!

The Mentions Panel:

1. The right side of the dashboard on the Analyze page includes a collapsible mentions panel. You have the option to sort posts in the mentions panel by different metrics. 

You will see mentions for all saved search(es) you have selected. The search terms that have pulled the mention into Social Listening will be highlighted, letting you know which search each mention is related to.

The sorting options for the Mentions Panel include: 

  • Highest Reach
  • Newest Post First
  • Oldest Post First
  • Random Order of Posts
  • Highest Twitter Retweets
  • Highest Twitter Impressions (potential number of times a tweet may have been seen) 

2. Click on the mention itself to see the Mention Details, including several metrics associated with the mention. 

3. Click the Original Post icon to be taken to the original post. 

4. The date and time of the post will be displayed, along with metrics that can be edited including: Location, Language, Sentiment and Emotion.

5. You may also click on the Add tag button to tag the mention.

Other options available:

  • To delete the mention from your results, click on the trash can icon.
  • To move to the Mention details for the next mention, click on the arrows at the bottom of the Mention details box.
  • To exit the Mention details, click on the X in the upper-right hand corner.

6. Click on the Show More link to expand the Mentions Panel to view all mentions for all selected saved searches.

7. Click on the Hide link to remove all Mentions and the Mentions panel from the dashboard.

8. Click on the Show Less link to return the Mentions Panel to the right side of the screen.

9. Click on the Export link to download the entire list of mentions into a .CSV or .PDF file.

Back to Top

Which widgets are available when I select multiple searches for a comparison? 

(Click here to see which widgets are not included when multiple searches are selected)

(Click here to see which widgets are included when you have only one search selected)

(Click here to learn about which platforms are monitored and which content is analyzed)

Total Volume Widget:

Get a quick overview of aggregate metrics for all of the saved searches you've selected!

1. Total Mentions: The total volume of social posts that match your search criteria in the time period selected and filters applied.

2. Total Reach: Sum of all reach scores for all individual mentions in your searches, time period and filters. Reach is designed to estimate how many different individuals are likely to have seen that content.

3. Total Impressions: Twitter only metric that estimates the potential number of times the tweets in your searches may have been seen calculated by adding author and retweet followers in your data set.

4. Unique Authors: The number of unique authors in your data. Compare this to the number of total mentions for insight into how active and engaged your audience is. The greater difference between mentions and this number shows the audience is more engaged and posting more often about your search terms.

5. Retweet Rate: The average number of retweets per tweet your searches receive. This metric lets you know how viral topics are (i.e. if the rate is high then it shows a lot of people were in agreement with or supported what was being tweeted) or how much organic conversation occurred around topics (i.e. if the rate is high then not a lot of organic conversation occurred around a topic).

6. Average Followers: The average number of followers of all contributors. This metric explains if a specific topic has high clout in general. For example, if the average follower number is lower than it was previously, then we know that people who are talking about these topics are potentially less influential in general. A higher average follower number would indicate that people who are involved in the conversation have more followers and thus have the potential of being more influential.

Percent Change: Takes a look at the data range you've selected and compares it to the same previous date range. If it’s set to look at the past 1-30 days, the Total Volume Widget will display the percentage change and value for the previous 31-60 days.

How do I select which metrics I want to display in the Total Volume widget?

1. Click on the Cog wheel icon in the Total Volume widget.

2. Using the dropdown on the right-hand side of the screen for each metric, select up to 6 metrics you would like to include. Select "None" from the dropdown if you do not want a metric displayed.

3. Click on the X button to close the configure tile screen.

NOTE: The widget will reset to the default metrics 1-4 when you leave the page. (Total Mentions, Total Reach, Total Impressions, Unique Authors)

Back to Top

Total Volume by Search Widget:

Track the volume of mentions for all of the saved searches selected.

Total Volume by Search: This widget provides a breakdown of the volume of mentions by each saved search you have selected. This widget is activated and only available when more than one saved search has been selected.

Mention Volume Over Time Widget:

Shows corresponding lines on the graph for each saved search selected and includes a corresponding legend. You are able to display the number of mentions over time with options to look over hour, day, week, or month. This can be used to see how your brand is performing over time, how a campaign may impact discussion or even how a crisis is developing. 

Mentions Volume Over Time: The volume of social posts that match your search criteria.

The drop-down option allows you to see the number of mentions by hourdayweek, or month for each saved search you have selected.

Mention Volume Benchmark for Searches Widget:

Gain insight on whether there have been increases or decreases in mentions for your brand, competitors or products.

Mentions Volume Benchmarks: Provides a bar graph organized by each selected saved search to benchmark the previous period and change over time.

The percentage displayed lets you know if there was an increase or decrease from the previous 30-day period for each selected saved search.

The horizontal line will display the average of the data for the previous 30-day period.

Share of Voice Widget

Share of Voice Widget: In multi-search, the Share of Voice widget displays a pie chart of the split in quantity out of 100% for all selected saved searches. Hovering over each portion shows a tooltip with the percentage and mentions for that saved search.  

Word Cloud Widget:

Get a quick overview of what is being talked about within your searches. This is a great way to understand the conversation around your brand, competitors, industry or campaign for overall brand reputation management, to understand campaign influence and resonance on consumers and what is happening quickly during a crisis.

Word Cloud: Contains the most frequently used terms and phrases within the mentions for all selected saved searches. The bigger the word, the more often it is used compared to the other terms.

  • Tip: Dive into different types of terms and phrases used and what the word size represents in the configure tile to learn even more. 

 Click here to learn how to Customize the Word Cloud for Saved Searches!

Top Topics Broken Down by Searches Widget:

Get an idea of which keywords are most frequently used on social media.

Top Topics: List of the top 10 most frequently used keywords, organized by selected saved searches. This widget helps to break down the data in the Word Cloud and provides the volume of mentions in a chart.

Sentiment Volume Widget:

Understand the view consumers have around your search queries – whether positive or negative.

Sentiment Volume: Shows the total number of mentions classified as negative, positive or neutral as a breakdown of the total mentions for all selected saved searches.

The key will display the percentage of total mentions for positive, negative and neutral sentiment.

When hovering over a sentiment type in the donut chart, you will see the percentage and total number of mentions. 

NOTE: Sentiment is assigned to Mentions using an in-house model developed by Brandwatch’s team of data scientists. The team compiled a collection of ~500K documents and labeled them as positive, negative or neutral. These hand-labelled mentions are then used to calculate the frequency of distribution of each word, negated word, emoticon, etc. present in those mentions across the positive, negative and neutral categories. These frequency distributions are then used to construct a model that classifies each new mention.

Sentiment Volume Broken Down by Searches Widget:

Shows the number of mentions with positive, negative or neutral sentiment for each selected saved search. This can be used to see how each of your searches are performing.

The Sentiment Volume Broken Down by Searches provides a breakdown of each selected saved search and it's total sentiment for each saved search selected.

When hovering over a sentiment type for a specific search in the bar chart, you will see the percentage and total number of mentions. 

Platform Volume Broken Down by Searches Widget:

Gain insights on where the keywords in your saved searches are getting noticed.

Platform Volume: Displays platforms for each separate selected saved search and provides a corresponding legend. Data displayed will use a stacked bar graph, as seen here.

Top Sites Broken Down by Searches Widget:

See where conversations are happening about your brand. 

Top Sites: Displays the total volume attributed to each of the top 10 domains, broken down by your selected saved searches.

Top Authors Broken Down by Searches Widget:

See who is talking about your brand.

Top Authors: Displays the total volume attributed to each of the top 10 authors, broken down by your selected saved searches.

Top Hashtags Broken Down by Searches Widget:

Understand the conversation around your brand by seeing the hashtags associated with it. 

Top Hashtags: Displays the total volume attributed to each of the top 10 hashtags, broken down by your selected saved searches.

Mention Volume by Countries Widget:

Get an understanding of who is talking about your brand by understanding where they are located.

Top Countries: Displays the total volume of mentions attributed to each country, broken down by your selected saved searches. This is also displayed on a map, with darker colors indicating more frequency.  

NOTE: Some location data is provided directly by the platform and/or the author of the Mention. When an author or a Mention has no explicit location, we attempt to infer a location based on the keywords in the author’s bio. We use a statistical classifier trained on the author bios of authors who’ve explicitly shared their location. This classifier uses features it has identified through training that implicitly indicate location (e.g. the name of a local sports team, a city nickname, etc.).

Back to Top

Which widgets are not included if I select more than one saved search?

Mention Volume by Day of the Week and Hour Widget (The New Mention Volume Over Time Widget is similar)
Mention Volume Benchmarks Widget (Split into multiple widgets when multiple saved searches are selected)
Emotion Volume Widget
Emotion Volume Over Time Widget
Top Shared URLS widget
Top Interests Widget (New Top Topics Widget is similar)
Gender Split Widget
Top Languages Widget
Topic Wheel Widget

Back to Top

What are the Content Sources of these metrics and what is measured for each platform?


  • Likes

  • Comments 


  • Reactions

  • Comments

  • Shares 


  • Retweets

  • Replies

  • Followers of retweeters

  • Followers of author 

Others (blogs, forums, news etc.) 

  • Average site visitors

  • Average engagement

  • Alexa monthly visitors 

More on reach: 

  • Reach is heavily influenced by post engagement and traffic for the author or site in question. Our proprietary algorithm then uses each of the available metrics and applies various (content source specific) assumptions, based on previous, observed behavior, to infer how they may translate into the number of individuals that are likely to have seen a given post. It is not necessarily true that everyone who follows you sees your post, or that everyone who sees your post follows you, so adjustments must be made to account for this and also to factor in the degree to which increased post engagement influences the final reach value. 

  • In order to improve understanding of the processes involved please consider the following example, in this case using Twitter as the content source. 

    • Suppose a piece of content is shared on Twitter by an author with 5000 followers. It has so far gained 3 likes, 2 replies and has been retweeted by 1 person with 3500 followers. We must now estimate the amount of people, X, who are likely to have seen this content. 

    • This number, X, will be significantly lower than the sum of poster and sharer followers because we know that a post with this kind of engagement won’t be prioritized in all followers’ feeds. We can also be confident that X will be higher than for a post from the same author that doesn’t have any engagement as we also know that any engagement will lead to a higher priority on followers’ feeds. Visibility will be further increased by the extra exposure that this engagement inevitably produces. For example, a particular account that doesn’t follow either the original tweeter or the retweeter, may follow the “liker” and gain exposure to the post that way. 

    • We therefore need to estimate how many, on average, of the tweeters followers normally see a post and take into consideration how this increases if this post has a like or a comment and how this changes if a piece of content is shared. We then consider the observed metrics of the post in question (3 likes, 2 comments, 1 retweet) and apply some scaling to reflect this relative engagement. Our algorithm assigns a value to this and adjusts the reach accordingly. It also takes into account how the different sites prioritize content on their platforms. 

    • Note that a reach of zero is not unlikely for a post by an author with a low number of followers; reach is an estimate not an exact count.  

  • The algorithm is not overly reliant on follower count alone. For example, it’s quite reasonable to assume that a tweet by an author with only 30 followers has not been seen by anyone. When a tweet is retweeted or replied to, its reach starts to increase, particularly if the retweeters/commenters have high follower counts. 

Back to Top