Revenue Protection

Why high-revenue counterfeit sellers should be targeted first

Brand E, an anonymized European consumer goods manufacturer, saw stable demand and shrinking margin. The gap was not in its own channel. It was in listings selling its products without selling its products.

Why detection alone protects nothing

Most teams can name a handful of counterfeit sellers. What they cannot do manually is cover every marketplace, every seller account and every social commerce surface at the speed those offers appear and disappear.

Continuous monitoring across marketplaces and social platforms turns a scattered anecdote into a ranked queue of live offers, each with evidence attached and a seller history behind it.

From detected offer to enforced removal

  • Detect the offer and capture the evidence before it is edited or deleted.
  • Match it against the authorized channel to rule out legitimate resale.
  • Map linked seller accounts and prioritize networks by estimated revenue and brand impact.
  • File the takedown with the platform and track time to removal.
  • Re-check the seller for republished offers under new accounts.

Prioritize seller impact, not listing counts

Lensforce prioritizes counterfeit sellers by estimated revenue and impact on the brand. The aim is to pursue the highest-impact sellers first, not to claim that removing a listing recovers revenue.

Report seller priorities alongside enforcement outcomes, success rate and takedown time. Any listing-value calculation is a hypothetical comparison, not verified seller sales or revenue returned to the brand.

Where it connects

Removing counterfeit offers clears the surface. Being found in search and expanding into the right channel partners is what fills it again with genuine demand.

Research Example

This research example is based on information available at the time of analysis and is presented to illustrate a Lensforce use case. The organization referenced is anonymized and is not presented as a Lensforce customer.

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