Audiense’s Content Monitoring tool searches through millions of real-time and historical Tweets for quality data based on complex queries using combinations of hashtags, user names and keywords to find only those Tweets you are genuinely interested in. Uncover actionable intelligence and demographic insights that affect your marketing strategy and allow you to segment and target audiences with precision.
Select Monitoring from the top menu bar.
You will see the Monitoring home screen.
The Monitoring home screen has various areas where you can:
- Manage your Rankings
- View your Tweet consumption
- Create a new Monitoring
- View a panel for each previously generated Monitoring
- Click the view dashboard button to see the dynamic Monitoring dashboard associated with that Monitoring where you can add filters and create a customised view.
- See and change the status of the Monitoring by clicking the paused/play/running button.
- See the number of Tweets collated so far and the maximum number of Tweets in the Monitoring. You can modify this maximum by clicking the edit pencil icon.
- Click the three dots in the top left to open more options. You can clone the original query and modify it in the Monitoring editor and you can delete the Monitoring.
- Click the arrowhead in the top right to toggle visibility of the details of the Monitoring.
Create a Monitoring
1. To create a new Monitoring click anywhere in the default create Monitoring panel.
The emerging Monitoring editor window is composed of various sections:
- Monitoring period
- Sample of Tweets
2. Give the Monitoring a name.
3. Enter the criteria of your query, e.g. the hashtags, @usernames, keywords, URLs and any other relevant information.
If you want to monitor an event hashtag, e.g. “#eventname”, use the event name with the hashtag in the query to return only those Tweets which use the hashtag. If you use “eventname” without the hashtag, as many people tend to Tweet without using one, you will return Tweets which use both “eventname” and “#eventname”. You can research other unofficial hashtags to include, add Twitter accounts related to the event such as the name of the speakers and any other relevant keywords. Promoted Tweets which coincide with the query are also returned in your Monitoring.
We recommend you don’t use quotes in your criteria as this will limit the results which are returned to only those Tweets which use quotes in the original Tweet. For example:
This query would return the Tweet ‘Great job…. “Audiense London” is amazing’ but not the Tweet ‘Great job…. Audiense London is amazing’. However, the following criteria without quotes would return both Tweets.
You can use the basic criteria editor, as above, or you can click advanced editor in the top right of the criteria section to open the advanced editor.
Limitation: The criteria is limited to a maximum number of 2048 characters for each query. This limit includes the categories and the conditions as well as the criteria itself which you specify in the advanced editor.
Any criteria you have already added to the basic editor are displayed in the advanced editor, for example the above criteria would be shown as:
To refine your query in the advanced editor click the add criteria drop-down menu to open the categories menu.
You can use the filter to filter down to a particular field in all categories or select a specific category.
Conversations category fields are:
- In reply to (Tweet ID) – Replies to a specific Tweet.
- Retweets of – The Retweets of the Tweets of @username.
- Retweets of (Tweet ID) – The Retweets of a specific Tweet.
- Tweet text – The content of the Tweet itself.
- Tweets in reply to – The @username the Tweet is replying to.
- Unshortened URL – The unshortened links contained in the Tweet.
Twitter Profile category fields are:
- Author – The Twitter handle of the user, e.g. @Audiense.
- Bio – The bio description of the user. (1)
- Location – The location specified by the user in the profile. (1)
- Name – The profile name of the user, e.g. Audiense. (1)
- Number following – The number of following of the user. (1)
- Number of followers – The number of followers of the user. (1)
- Number of Twitter lists they’re on – The number of lists the user is on. (1)
- Time zone – The time zone of the user. (1)
- Verified status – Is the account verified or not?
Technology category fields are:
- Client app name – The app used to send the Tweet. (1)
Demographics category fields are:
- Language – The language the Tweet was written in. (1)
- Languages available: Arabic, Danish, German, Greek, English, Spanish, Farsi, Finnish, French, Hebrew, Italian, Indonesian, Japanese, Korean, Dutch, Norwegian, Polish, Portuguese, Russian, Swedish, Thai, Turkish, Ukrainian, Chinese.
Behaviour category fields are:
- Number of Tweets – The number of Tweets sent. (1)
Location category fields are:
- Geo location – The location from which the Tweet was sent.
(1) These filters are only available for real-time Monitorings and not for historical Monitorings.
Select the required field and then the condition that this field must satisfy.
The conditions vary depending on the field you choose.
If the field is numerical the conditions are:
if the criterion is geolocation:
After choosing the appropriate condition for the field you need to input the value. This could be a word, a number, a radius area (in the case of geo location), or a language from a drop-down menu (in the case of language). Press return after each value if you have more than one.
4. Select the Monitoring period that you want the Monitoring to be active.
You can select a specific time zone (default is the time zone linked to your account) and the day and hour for your Monitoring to begin and end. For example, if you’re planning an event or a Twitter campaign set up your Monitoring with the same time zone and start and end times as these, or leave it running until you’ve exhausted all your prepaid interactions (you can always increase these as you need). If you want to track information about a campaign which has already begun, select start as soon as possible.
It is also possible to create a Monitoring of historical Tweets from any time period after Twitter’s inception (2006). Remember, as mentioned above, some of the category fields are not available for historical Monitorings. By historical we refer to any Monitoring which began at a past time even if the end time is in the future. Also be aware that the sample of Tweets must be set to 100 percent.
5. Choose the maximum number of Tweets you want to collect in this Monitoring, taking into account how many you have available. You may not want to use all your credit with this one Monitoring.
6. Use the slider to select the sample of Tweets on which you want to base your Monitoring. This is the percentage of total Tweets which will be monitored during the selected period.
If your Monitoring is tracking data based on search terms that have a great impact and are likely to generate a high number of Tweets, we recommend you don’t choose 100 percent. For statistical analysis and market research, a sample of 10 percent is appropriate. On the other hand, if you’d like to monitor a local campaign or a keyword with limited impact, choose 100 percent.
7. Click next to preview a volume estimation of the data to be collected for the Monitoring period.
Two types of estimation are possible:
a) A historical Monitoring
b) A future, real-time Monitoring
You will see a volume estimation for the same query based on the last 30 days. This volume estimation is only possible if the filters used are supported by historical queries, i.e. the filters not marked with (1) which are mentioned in the criteria section above.
8. In either of the above two volume estimation cases you now have two options:
- Click back and modify to return to the editor to modify the period or the number of interactions you want to dedicate to the Monitoring in order to monitor the whole volume of the Tweets which are estimated.
- Click confirm and create Monitoring if you’re happy with the estimation preview. Your new Monitoring will appear on the Monitoring home screen.