Frequently asked questions

Yes. Remove.tech can generate alerts as soon as high-risk activity is detected, with configurable thresholds so that:

• Critical cases are surfaced immediately
• Lower-risk or lower-impact cases are batched for review
• Teams are not overwhelmed by noise, but still see what matters most

Alerts can be delivered via email, dashboards, or integrations such as Slack or internal tools.

Remove.tech supports multilingual and region-specific monitoring by:

• Tracking platforms in local languages and character sets
• Recognising brand terms, product names, and visual assets across markets
• Adjusting detection logic to reflect local marketplace behaviours and nuances

This ensures that abuse in non-English or emerging markets is not overlooked.

Yes. Remove.tech is built to handle high volumes of products, listings, and signals across multiple regions. It is suitable for:

• Large catalogues with frequent new launches
• Seasonal or campaign-driven spikes in activity
• Multi-brand groups operating under a single structure

Scalability is a core part of the design, not an afterthought.

Remove.tech is designed to slot into your current tech stack. It can:

• Push data into existing brand protection tools as an enrichment layer
• Send alerts or cases into fraud platforms or trust & safety systems
• Integrate with internal tools through REST APIs, webhooks, or scheduled exports

This means your teams don’t have to switch systems – they simply get better intelligence inside the workflows they already use.

The setup process is deliberately lightweight. Typically it involves:

• An initial discovery session to understand your channels, priorities, and tech stack
• Configuration of marketplace and social monitoring according to your brand profile
• API or data-pipeline integration with your existing tools, where required
• Testing and tuning to align risk thresholds and alerting with your team’s capacity

Engineering involvement is kept as light as possible, particularly for cloud-based deployments.

Yes. Remove.tech’s reporting and analytics can help brands quantify:

• The volume of abusive or infringing listings and accounts
• The regions and platforms most affected
• Trends over time, including the impact of enforcement actions

This data is useful for internal reporting, budget justification, and understanding the ROI of enforcement.

Remove.tech looks at a combination of factors, including:

• Whether the seller is part of your authorised network (where data is provided)
• Their historical behaviour across platforms
• We build  internal allowlists
• Pricing, region, and stock patterns
• Links to previously flagged or abusive accounts

This allows brands to separate honest resellers or partners from actors who are systematically undermining brand strategy.

Remove.tech offers dashboards that typically show:

• Overall abuse volume by platform, region, and type (counterfeit, impersonation, etc.)
• Identity-linked clusters of activity and repeat offenders
• Status of actions taken (under review, escalated, Remove.techd, etc.)
• Trends over time so you can see whether risk is increasing or being brought under control

Reports can be customised or exported for different stakeholders – brand, legal, compliance, or executive teams.

Remove.tech’s accuracy comes from combining content signals with identity and behaviour. This reduces the number of false positives typically seen in pure keyword/image systems, because:

• It can distinguish between legitimate authorised use and suspicious use
• It can prioritise cases where identity and behaviour strongly suggest abuse
• It learns from feedback over time

No system is perfect, but identity-first detection significantly improves signal quality.