dump the scammers, before your users break it off
On average 1 in 10 dating profiles created are fake. With targeted content moderation and smartly applied user insights your customers will never have to encounter any of them.
Fake or undesirable profiles are among the main reasons for user churn on dating sites and the level of quality profiles are directly linked to user acquisition. With the right content moderation processes in place, you can grow user trust and thus your business.
Focus areas for content moderation
on dating sites
With a combination of IP filters, automation rules, AI moderation and human expertise we are able to detect and remove any profiles that fall into the five categories of our moderation layer method. We also offer customized setups, that are tailored 100% for your policies and business strategy.
Remove users with illegal intent from your site to decrease user churn and avoid PR crises, liability suits or prosecution.
- Human trafficking
- Under aged users
Through a combination of chat moderation, profile review, IP filters and automation rules, we keep your site free from scammers and your users safe. Our trust and safety team continuously research and follow industry trends to ensure that we are aware of and prepared to manage, new romance scams as they emerge.
- Romance mules
- Military Scams
Circumventing onsite communication channels to avoid fees is harmful both to your revenue and to user safety. We find and remove bypassing attempts using computer vision and specialized filters, as well as highly trained moderation experts.
- Obfuscation of contact details
- Watermarks or text in images
User trust is built by living up to your brand promise. When user encounter inappropriate content on your site, trust degrades. We remove undesired content to ensure your site lives up to the expectations set by your brand.
To achieve a good user experience on a dating site, users need to find high-quality, relevant profiles. Our moderation setup looks at pictures, profile text and other user inputs to ensure that they are valid and relevant.
- Poor Picture
- Wrong Gender
- Multiple Accounts