zvelo provides more relevant ad targeting opportunities with increased category granularity. For example, let’s take a look at fishing.
In an earlier version of the zvelo category set, competitive and recreational fishing websites were classified as Sports and Recreation or Fitness and Recreation. However, fishing is now classified into four granular categories: Sports-Game & Fish, Sports-Fly Fishing, Sports-Saltwater Fishing and Sports-Freshwater Fishing. For ad tech, this expanded category granularity can be very beneficial.
For instance, a saltwater fishing equipment manufacturer may seek to place ads on online publications and blogs that are all about that oceanic sport. The same would apply to a retailer looking to promote its freshwater products to customers interested in fishing, but only those that live inland and not close to a coast. The ad platform providers can use zvelo to vet the inventory within their network. Coupled with web usage, geo-location, behavioral and other data sets, the platforms can help advertisers reach the most interested audiences more effectively.
The inner workings of the zvelo categorization engine include repositories, language development, definitions, algorithms, machine learning methodologies, and other proprietary resources that are being enhanced each day. These resources allow our artificial intelligence-based classification systems to more accurately analyze and categorize websites. Backed by human quality assurance and teaching, our systems are monitored and tuned-up frequently. It is this hybrid human-to-machine interaction that has left an impressive and impeccable mark in the minds of our valued technology partners.