Frequently asked questions

Remove.tech reduces cost by:

• Cutting down on duplicate work against the same offender
• Prioritising high-impact cases so teams focus where it matters
• Automating detection and evidence collection
• Supporting smarter, more strategic enforcement
• Brand can also use Remove.techs Revenue Recovery Program to take back their stolen revenue

This means fewer hours spent on manual review and more time spent on actions that actually change the risk landscape.

By embedding identity verification at the front door – during onboarding or account creation – Remove.tech makes it much harder for bad actors to enter your ecosystem in the first place. Instead of discovering abuse only after it has gone live and done damage, brands can:

• Set identity requirements that deter fraudulent actors
• Detect high-risk users earlier in their lifecycle
• Stop repeat offenders from returning under new identities

Prevention is always cheaper and more effective than pure reaction.

Legacy tools were built for a web where content was the main signal: text, images, listings. Remove.tech is built for a world where identity, behaviour, and networks matter just as much. Key differences include:

• A focus on people, not just posts
• Native support for identity-linked detection
• A stronger emphasis on prevention, not only takedowns
• Alignment with modern privacy and platform realities

This makes Remove.tech a next-generation complement, not just another scanner.

Online abuse is increasingly sophisticated and cross-platform. Relying solely on content detection is no longer enough when bad actors can rapidly spin new accounts, domains, and listings. Identity-first brand protection recognises that:

• Most serious abuse is driven by repeat offenders, not one-off mistakes
• Anonymous account creation is the root enabler of large-scale fraud and counterfeiting
• Stronger identity standards are becoming a competitive advantage in trust

Brands that move early on identity-first protection will be better placed to protect both revenue and reputation.

By detecting and helping Remove.tech fake stores, scam domains, and misleading listings earlier, Remove.tech reduces the number of touchpoints where consumers are exposed to confusing or fraudulent brand lookalikes.

This leads to:

• Fewer complaints and support tickets related to “bad purchases”
• Less reputational damage from bad experiences incorrectly attributed to your brand
• Clearer, more consistent brand presence across channels

Ultimately, it protects trust – which is often harder to repair than to maintain.

Exact ROI varies by brand, category, and scale, but typical gains include:

• Reduced revenue loss from counterfeit and grey-market competition
• Lower operational costs in legal, brand protection, and support teams
• Improved customer satisfaction and loyalty
• Stronger negotiating position with platforms and partners

Identity-first enforcement often pays back quickly in both cost savings and risk reduction.

Remove.tech delivers trust and safety benefits to the entire ecosystem:

• Brands feel safer investing in channels where abuse is controlled
• Consumers have a lower risk of being scammed or buying dangerous products
• Legitimate sellers are less crowded out by counterfeiters and fraudsters

By raising the identity bar and making abuse harder to execute, Remove.tech helps create healthier, more sustainable digital marketplaces.

Because without identity, enforcement remains reactive and easily bypassed. As long as bad actors can repeatedly resurface in new guises, brands will be stuck in an expensive game of whack-a-mole.

Identity-layer enforcement closes that loop by:

• Making it harder to hide behind disposable accounts
• Providing continuity across incidents and platforms
• Supporting stronger, more permanent forms of action

In short, it turns brand protection from a series of isolated clean-ups into a strategic, long-term defence.