VisualDNA delivers clearly defined audience groups, including both in-market intenders and groups based on interests, taste, brand preferences, purchase patterns and lifestyle. Image-based quizzes collecting motivational, aspirational, attitudinal and intent data as well as brand preference information are run on VisualDNA’s partner websites. Combined with online behaviour (through AAT on-site tracking) and contextual and behavioural modeling, we create a rich profile of users in both online and offline life. Each user is allocated to multiple audience groups derived using our 5,000 node contextual taxonomy and can be targeted using all leading ad networks.
By setting a profile type for high-value consumers and tracking look-alikes, we enable you to better target your marketing communications. We track campaign performance and user conversion on your site (homepage for CTR, conversion page for CPA). Using our profiled user base of over 22m people, we are able to draw conclusions about the personality, characteristics, interests, preferences and behavioural trends of converted users. We can then run our custom look-a-like technology to find similar high-value users and share the segment with the DSP or DMP of your choice for you to traffic against.
We offer bespoke cluster analysis for brands, enabling advertisers to understand the VisualDNA profile for audiences with shared brand affinity. This facilitates highly targeted and relevant communications strategies.
Nobody likes their time being wasted, so it stands to reason that by knowing your target consumers better, you’ll be able to tailor your messaging to their specific needs and motivations. The ability to target against defined audiences means your campaigns will see improved performance and higher ROI. Advertising targeted using VisualDNA can deliver CTR uplift in excess of 320%.
VisualDNA audience groups can be used via many of the biggest DSPs and DMPs. These groups can be used in any combination, along with traditional demographic and geographic filters, to target users throughout publisher networks. Over 20 million profiles and 15+ data points per user allowing for a range of broad to specific campaigns.