A-From scratch 🎯
You have a subject, a brand, a product or a service to study, but you do not have any current data to hand. So here is how to create your dashboard quickly !
1- Give your project a name and choose the first option "Discover new queries".
2- Select the scope of countries for which you wish to carry out your study.
3- Use our "Get Suggestions" tool to obtain keywords related to your study. You can choose the country and the associated language to obtain more refined searches.
👉🏻 Check out this article on the help centre to learn more about this tool and explore other ways of obtaining keywords: https://help.trajaan.io/en/articles/7784576-how-to-add-keywords-queries-to-my-dashboard
The animation below illustrates these first three steps :
Add the queries you are interested in by clicking on "Add now" and go on to the next step.
4- Using our tools to label your keywords - Combine / Edit Rules / Auto Label
A number of articles are available to give you an in-depth understanding of how to use these different tools:
👉🏻 Edit Rules: https://help.trajaan.io/en/articles/7980504-edit-rules
👉🏻 Auto Label: https://help.trajaan.io/en/articles/7983020-auto-label-tool
5- Checking data sources: adapt your data sources to suit your needs.
6- Update your data and go to the dashboard to continue your study.
B- With a list 📃
With a list of keywords, you need to follow the same steps, the difference being that you need to click on the "Cluster existing queries" option.
Next, select the country scope you want, and the third step will take you to this page.
👉🏻You can find explanations on this Help Center article: https://help.trajaan.io/en/articles/7784576-how-to-add-keywords-queries-to-my-dashboard
Once your project is created, there is another way for you to import keywords.
👉🏻 Check this article on the Import function : https://app.intercom.com/a/apps/cauoendm/articles/articles/7873089/show
Once you have added your keywords to your project, you can follow the process of Labelisation/Clustering, by using our in-app tools, mentioned above.