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Brand protection from all angles – If it’s online, we can find it. We identify all your assets online and detect infringements in seconds.
Red Points learns from your account history and suggests detection rules and keyword opportunities so that your online brand protection strategy can become automated and save you time.
Filter reports by date, assets, sellers and more. Get market insights on the strategies used by abusers, empowering you to take control and protect your brand online across multiple channels.
Red Points organises all cases into beautiful, user-friendly cards that are prioritised according to their potential threat to your brand.
Amazon, AliExpress, DHgate, Tokopedia, eBay....
Instagram, Facebook, Twitter...
Wish, Wanelo, Wallapop...
Classified ads, C2C Apps...
No matter if they're knockoffs or perfect imitations.
When they try to appear as the genuine social media outlet or website.
Illegal use of a brand's photos, logos and other types of content.
Typosquatting and other web domain abuses.
Keyword-hijacking, false claims of association...
Average success rate of detection to removals
Top marketplaces with 99% enforcement rate
Average time from detection to removal
Marketplaces, social media, apps & websites in our database
Removal of illegal content from the first 3 pages from google
Languages covered by all services provided
“This was like a kick in the guts, this was like someone invaded my home. They come in and ransack my home and take things that belong to me.”
Here at Red Points our online brand protection solution automates the removal of intellectual property infringements so that there is far less need to carry out labour intensive, manual removal processes.
Our brand protection method combines: state of the art machine learning technology which scans online marketplaces for infringements, an in-house legal team who oversee the process, and our analysts who are always on the lookout for the latest tactics used by brand abusers trying to operate under the radar.
Our brand protection software is capable of learning from its findings and using this data to optimise its search terms and parameters, giving our technology the ability to self-improve its efficiency.