SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez nos Conditions d’utilisation et notre Politique de confidentialité.
SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez notre Politique de confidentialité et nos Conditions d’utilisation pour en savoir plus.
September 2017 / Page 0marketing.scienceconsulting group, inc.
Fraud Filter vs Blacklist Study
1. Rate of fraud (confirmed bots, dark red) was not lower in any cases, and were higher
in some cases when fraud filters were turned ON (e.g. Exchange 1).
2. Costs for using fraud filters were 20 - 24% higher on an eCPM+ basis than not using.
1. Apply your own blacklist of sites and apps quickly, near the start of the campaign.
Look for line items that have metrics that are too high (click rates, win rates, etc) or
too low (bounce rates, NHT rates, etc.); this saves 20 – 24% costs off the top.
2. Note that blacklists are not enforced equally well on different exchanges. If they can’t
enforce, then reduce spend or stop spending with them. This is “table stakes” stuff.
Marketing Science took a deeper dive into fraud filters and compared them with simple
black listing. All mobile and app inventory had to be manually excluded because none of
the fraud filters work in mobile. Across 4 exchanges, the cost of using fraud filters was 20
– 24% higher (on an eCPM basis) but the filters had no effect in lowering fraud (dark red).
In some cases, the fraud was actually higher when fraud filters are ON, as shown
previously – “Fraud Filters Don’t work.” Blacklists worked just as well; cost nothing extra.