What's New at Linkfluence

To stay at the forefront of innovation, we keep working on improving our Computer Vision capabilities, using the latest models available. That’s why we are proud to announce a brand new Computer Vision Feature in Radarly coming from the most-advanced AI innovation: Image Clustering.

Back in March 2021, we were proud to announce that we were joining forces with Meltwater to accelerate our leadership in AI-enabled Consumer Insights. We now bring customers a better enrichment of data taking the best of any algorithms used by both Meltwater and Linkfluence. You'll now benefit from better NLP algorithms to enrich all documents from your data set: language identification, keyphrases, named entity recognition and above all, sentiment analysis.

Introduced in August 2020 by Meta as a response to the growing popularity of TikTok, Instagram Reels are short-form entertaining videos of up to 60 seconds long. Users can easily edit their clips in the app, adding various visual and AR effects, as well as music tracks. The feature has proven highly popular amongst users.
Radarly users can now access data from Instagram Reels in their projects and can be explored using a dedicated operator.

We've made a lot of improvements to our Computer Vision capabilities. We've raised logo recognition to a new level in order to detect many more logos, with better precision and recall. We have also improved our scene detection capabilities as well as NSFW classification. Last but not least, we are now able to detect memes!

We are thrilled to announce that Radarly's user interface is now available in Japanese. You will also be able to benefit from features supported in Japanese, which include sentiment analysis, geolocation inference, occupation detection and most recently our new key-phrases word cloud.

We are excited to announce that we are now expanding our Customer Experience Monitoring capabilities to China! Today, in addition to the numerous Western sources of data that we already provide, we are the first vendor to market to cover the major Chinese “consumer reviews” platforms and e-commerce websites: Dianping, Taobao, Tmall, JD.com.

LinkedIn, the global business and employment-oriented online service, is now part of our data coverage offer and could be a valuable source of data and a great complement in your data set. Learn more about Linkedin here.

In addition to all the alerting features available in Radarly based on the number of posts, reach or impressions metrics, you can now set up alerts based on engagement. This feature is particularly useful if you want to assess the relevance of a topic based on the engagement or to create recurring reports on topics that generate the most engagement actions.

AI has enabled us to add a powerful new word cloud to our tool box. It provides you a much better experience, allowing you to focus on a short sequence of words rather than one single term so that it will be easier for you to understand the context and interpret emerging signals or the meaning of online publications.

Based on 10+ years of expertise delivering to our clients consumer intelligence, we’ve built templates for Insight Pages that gather the most important KPIs and metrics for specific use cases.
While creating a new Insight Page, you have now the choice between creating one from scratch or using the configuration wizard.

The translation feature allowing you to translate a post in another language is now available for all Radarly users in the platform. +100 languages covered. The translated version remains saved in the post preview. The original version remains accessible whenever required.

The classic Word Cloud has been a key tool in social listening for over a decade, but recent advances in AI have enabled our engineers to add powerful new features to Word Clouds. Discover the potential of our 2 new word clouds: the distinctive word cloud and the emerging word cloud.

Gain depth and accuracy in your exploration with our AI-based feature, Content Classification, available within Radarly workspaces and Insight Pages. Our new classification classifies content between a predefined set of 370 categories belonging to a 3-level ontology.

Thanks to our integration with Meltwater, Radarly benefits from significant improvements of its data coverage: we now get access to the full firehose of Reddit and Disqus Comments, we now collect data from news & media websites worldwide and we extended our data coverage on blogs, websites & forums

From now on, your can send a frozen version of your Insight Pages with anybody across the organization whether they are Radarly users or not. They'll get a snapshot of your Insight Page with static data, on a fixed period, with fixed filters and your insightful comments.
Start spreading the world with your insightful reports!

Intuitive drag-and-drop editor allowing to create custom insight page. You can pick cards from a large selection within our cards library according to your needs and cross-reference information with powerful filters.

Linkfluence’s insight pages provide focused metrics and visualizations in a single place, for every use case across your business, so you can make better informed decisions more quickly.