What do you like best?
I've been following Linkfluence, the publisher of Radarly, almost since their inception a few years ago. They have been improving the product constantly, and today, the result is a neat dashboard allowing both observation and engagement for brands online.
Top features in my opinion:
- "Battle of the brands": pitch one brand vs another based on their mentions, social stats, community management activity. Great tool to know what "the other side" is doing while you toil on your own
- "Add to favorite and Save": if you have a big conversation (say, telecoms operators in any given country) you might not being able to qualify manually the sentiment and more precise data for ALL the mentions. By "faving" and saving a selection of mentions, the dashboard is able to produce a visualisation of both the global volume, and of the selection of mentions made manually. Great to focus on the top 10% mention per influence for instance.
- "Order by Influence": rank mentions on a given brand or product by influence (based on each platform's own data: RT and @ for Twitter, Likes/Share/Comments on FB..). I use it to filter out the top 10% mentions for a brand as I can't deal with thousands of mentions, I focus on the top of the basket.
What do you dislike?
The transition from the "Social Inbox" where you deal with the mentions of your brand/product and qualify/analyse them to the "Dashboard" itself which shows the visualisation of the data of these mentions can take some time based on the volume of data. Not a big deal, you can really feel the whole thing is crawling a lot of data.
Recommendations to others considering the product
Everyone judges for itself.
I like the geekiness of the founding team, a gang of PHDs from UTC, a reknowned engineering university north of Paris, I like the easiness and care brought to the setup and navigation within the tool, and the visualisations create great impacts on clients.
What business problems are you solving with the product? What benefits have you realized?
We use Radarly for three main business case for our clients (we're an agency):
-> Customer insights on the long run, with a yearly follow-up of brand/product/competitor/industry mentions. That's quite a big volume of data, and Radarly helps us to sort out the most relevant ones and craft decisions for our clients based on what we see rather than based on assumptions we all have on a given industry.
-> Campaign impact: quite useful to assess the effect of an advertising campaign online, following for instance the mentions of a #hashtag or checking which share of influencers have been talking or not. It helps to correct a campaign on the go
-> Agency brief: in agencies, it's pretty common to have to deliver a pitch "for yesterday", in the rush. You make assumptions, and have sometime no time to check their relevance. Radarly helps to get a snapshot of the online conversation and habits in no time (setup is fast and data retrieval for the past 60 or 90 days takes max 24h), and produce visualisations and insights we can use in a brief, making it data-driven and more professional.