Sagittis sollicitudin turpis nullam rutrum commodo sagittis mattis donec adipiscing rhoncus quis feugiat quis venenatis tristique mi tempus
Auctor purus, aliquet risus tincidunt erat nulla sed quam blandit mattis id gravida elementum, amet id libero nibh urna nisi sit sed. Velit enim at purus arcu sed ac. Viverra maecenas id netus euismod phasellus et tempus rutrum tellus nisi, amet porttitor facilisis aenean faucibus eu nec pellentesque id. Volutpat, pellentesque cursus sit at ut a imperdiet duis turpis duis ultrices gravida at aenean amet mattis sed aliquam augue nisl cras suscipit.
At elit elementum consectetur interdum venenatis et id vestibulum id imperdiet elit urna sed vulputate bibendum aliquam. Tristique lectus tellus amet, mauris lorem venenatis vulputate morbi condimentum felis et lobortis urna amet odio leo tincidunt semper sed bibendum metus, malesuada scelerisque laoreet risus duis.
Ullamcorper pellentesque a ultrices maecenas fermentum neque eget. Habitant cum esat ornare sed. Tristique semper est diam mattis elit. Viverra adipiscing vulputate nibh neque at. Adipiscing tempus id sed arcu accumsan ullamcorper dignissim pulvinar ullamcorper urna, habitasse. Lectus scelerisque euismod risus tristique nullam elementum diam libero sit sed diam rhoncus, accumsan proin amet eu nunc vel turpis eu orci sit fames.
“Sit enim porttitor vehicula consequat urna, eleifend tincidunt vulputate turpis, dignissim pulvinar ullamcorper”
Nisi in sem ipsum fermentum massa quisque cursus risus sociis sit massa suspendisse. Neque vulputate sed purus, dui sit diam praesent ullamcorper at in non dignissim iaculis velit nibh eu vitae. Bibendum euismod ipsum euismod urna vestibulum ut ligula. In faucibus egestas dui integer tempor feugiat lorem venenatis sollicitudin quis ultrices cras feugiat iaculis eget.
Id ac imperdiet est eget justo viverra nunc faucibus tempus tempus porttitor commodo sodales sed tellus eu donec enim. Lectus eu viverra ullamcorper ultricies et lacinia nisl ut at aliquet lacus blandit dui arcu at in id amet orci egestas commodo sagittis in. Vel risus magna nibh elementum pellentesque feugiat netus sit donec tellus nunc gravida feugiat nullam dignissim rutrum lacus felis morbi nisi interdum tincidunt. Vestibulum pellentesque cursus magna pulvinar est at quis nisi nam et sed in hac quis vulputate vitae in et sit. Interdum etiam nulla lorem lorem feugiat cursus etiam massa facilisi ut.
Generative AI is all the rage but attempts to apply it to your marketing workflows can be more of a headache than a panacea. Automation in ad tech has been around for a while, but the gating issue to building a fully automated system was the creative. You could mix and match some basic ad components but until recently it wasn’t possible to do brand new creative without a human in the loop. Dalle-2, Stable Diffusion, Midjourney, and other platforms and models have now made that possible.
Today we are announcing that Nova has put this together into a single end to end system that can scale granular marketing tactics to new levels. Where your team may generate dozens of ad campaigns, Nova can generate thousands, or tens of thousands, in minutes. Using your design brief and some sample content, Nova creates thousands of modifications that match underlying customer personas at very granular demographic, geographic, or intent based level. Best of all, it works. We’ve seen lifts of around 80% for early Nova beta testers.
As an example, imagine a user is searching for “best dog food for a beagle.” Showing an image ad with a beagle in it is much more likely to convert. However, there are 360 dog breeds recognized worldwide and your creative team doesn’t want to generate 360 versions of each ad they create - but that’s an easy job for AI.
Now the question may arise, if we are going to create all of this content on your behalf, does that become an approval nightmare? These generative AI tools make a lot of mistakes, so how do you know what goes out is good? How do you know it’s “on brand”? This is where Nova really shines. Our Brandguard technology is trained on historical data for brands, and can be fine tuned with data from your brand, to give a score for how close any piece of content matches your brand guidelines. To run your advertising at scale and speed of AI, you need an approval system that operates at the same speed and scale, and that is what Brandguard does.
So where is all this going? This tech has been in development for well over a year now and the vision we are working towards is complete revenue automation. With enough data and enough predictive modeling, Nova should someday be able to quote you a price at which our platform can generate new customers for you, depending on how many you want. That is where we believe this can go.
This is the early early days, but if this vision sounds exciting to you, we hope you will setup a demo and give Nova a try.