Nieuwegracht 32 3512 LS Utrecht T: +31(0)30 - 234 12 22 F: +31(0)84 – 752 60 06 www.adlantic.nl info@adlantic.nl Postview Audience Finder Online display offers tremendous possibilities in the rapidly changing environment we are all in. Mainly due to automated buying and real time bidding, we are facing unprecedented new opportunities. Key in this game, are your targeting possibilities. Based on complex algorithms and KPI’s, it is possible to calculate your bid price for each target group. Target groups are groups of online visitors with common properties. There are more ways to find your target groups: Targeting based on 1st party data (retargeting). Target visitors that have been on your website before. Advanced retargeting even gives the possibility to segment this target group into more refined groups (e.g. low engaged, high engaged, etc). Ads are shown to these visitors, regardless of which site they are located. Contextual targeting. Visitors on predetermined websites form your target group. This is the old fashioned way, whereby lists of domains are targeted and ads are subsequently shown on these domains. Semantic targeting. Automated systems analyse each webpage semantically. If a visitor visits a webpage with a certain semantic relevance, an ad is shown to this visitor. Meta search data. Visitors are segmented based on historical used searches. Ads are shown to these visitors, regardless of which site they are located. Audience targeting. Visitors are segmented based on websites they have visited in the past. Ads are shown to these visitors, regardless of which site they are located. Predictive audience finder. These systems are based on online surveys and attempts to designate 3th party websites with a high statistical similarity with your own current audience/visitors. Ads are shown to these visitors when they visit these high relevance websites. Postview Audience finder. This technique is also predictive, but doesn’t use surveys or statistical analysis. Postview Audience finder (PAF) This powerful tool, tries to locate audience with a high similarity to your own visitors or audience. To find these similar audience groups, a market research is deployed. This research is done with a low CPM campaign over all connected websites. This market research finds the websites with the highest similarity to your own website visitors. This technique also finds the hours, days and geographic locations with the highest similarity to your own audience. Websites with highest similarity to your own audience Hours and weekdays when your audience is best reached Municipalities (geo-locations) where your most similar audience is to be found AdLantic Online Advertising B.V. | Kamer van Koophandel nummer 30225228 BTW nummer NL817861816B01 | ABN-AMRO Bank 24.48.29.756 1 Targeting Based on the PAF-research, display campaigns are only shown to visitors on websites with the highest similarity score. This targeting can be refined with additional time, day and geo targeting. Results On average, PAF finds websites that have a four times higher similarity score than normal. Time, day and geo targeting further improve similarity scores to an average rate of seven. This means that about 80-90% of all visitors are ruled out from targeting, causing an equally large waste and cost reduction. Remaining visitors are up to seven time more relevant than normal campaigns. This eventually leads to lower cost, higher performance and impact of your online display campaigns. AdLantic Online Advertising B.V. | Kamer van Koophandel nummer 30225228 BTW nummer NL817861816B01 | ABN-AMRO BANK 24.48.29.756 2