With LISTEN, you can easily aggregate paid collaborations between your competitors and influencers.
Below is a short video to guide you through the main steps of creating a LISTEN report.
No time to watch the video? Follow the instructions below!
Access the LISTEN creation form, under LISTEN and then click on CREATE button at the top of the page.
Step 2 - Report Name
Give your report a suggestive name, for example "My Competitor".
Step 3 - Hashtags
Add your competitor's hashtags and the ones that users may use to talk about your competitor.
Besides the typical #brandname, #brandnamecountry, you can have a quick look at their official IG page to check out if they use ad hoc #hashtags for their campaigns.
Make sure that each hashtag is separated by a comma, as seen in the screenshot below, otherwise the system will not be able to gather the posts correctly.
Step 4 - Mentions
Influencers don't solely use hashtags when collaborating with your competitors; they might tag them in pictures or mention them in captions. Use the ACCOUNTS section to specify your competitor's accounts and be sure to tick MENTIONS box in order to aggregate influencers posting about them.
Remember to include localized accounts as well, like @competitorFR
Step 5 - Filter Paid Collaborations only
In order to avoid noise and concentrate only on paid collaborations, use the FILTER BY field.
Use the shown list to include the most common types of hashtags used for paid collaborations or ad hoc ones specifically created for paid collaborations by your competitor such as: yourcompetitorsname_ambassador.
Separate the hashtags by comma. Once done, your field should look like this:
Your report should now look similar to this screenshot:
Click on CREATE to generate the report.
It might take up to 24 hours, depending on the number of hashtags and how big they are, for the report to be ready.
Intended use for Listen is to focus on local/niche hashtags.
If you use global hashtags with hundreds of thousands of posts or millions, you will be limited in terms of number of posts retrieved and update frequency.