Advanced Machine Learning, Data Mining, and Online Advertising Services
At A.I. Optify, we run display advertising campaigns for a range of clients from B2B to B2C. The core of our service is the programmatic ad buying by which we listen to web traffic from a range of publishers at large scale (i.e. by connecting to several ad exchanges) to find right audiences. Thus, identifying/targeting right audiences plays an essential role in our programmatic ad buying process.
As explained in separate thread, we use Account Based Advertising to characterize the ideal firmographics that a B2B company wants to target for their leads generation. So, the core of our programmatic ad buying platform is based on who we can find and target those ideal accounts. Below, we list some of the the data driven techniques we use at A.I. Optify to run B2B campaigns.
In our ad buying strategies we usually use a combination of above targeting techniues to minimize the spend waste.
One of the effective strategies we use for targeting the decision makers in a given industry vertical is by identifying and compiling a scalable list of B2B publishers. For instance, for targeting the C-level execs from Oil & Gas industries we have scalable web crawlers that scrape various sources of websites to generate a scalable list of relevant trade publishers and B2B publishers.
Let's say one of our clients want to show their product ads to decision makers in Oil & Gas industry. One technique that we use is to identify trade publishers who publish articles for the Oil & Gas industry. Below you can see a snapshot of Oil & Gas Journal which is a trade publisher in Oil & Gas industry vertical:
So, we run our distributed crawlers to serach the web and find the relevant trade publishers to the target industry. Next, we import the trade publishers list to the ad buying platforms to buy impressions.
Another technique we use is that we have a large list of websites from which we can buy traffic. We have developed in-house scrapers by which we crawl the contents of those websites. Next, we run the NLP classifiers on those websites contents to classify the websites either as B2B or B2C. We use a supervised learning approach for the classification. For training the binary classifier, we manually create a high quality list of B2B and B2C publishers as websites seeds. For instance, if we want to target people from the Tech industry, a website such as TechCrunch.com might be a relevant B2B publisher to target:
For identifying B2C publishers, we consider any website with content mainly in any of the following categories as B2C: Sports, Shopping, Fashion, Musics, Onlie Dating, Lifestyle, TV, Beauty, Food, Gaming, Entertainment. For instance, likes.com is classified as a B2C website whose contents mainly are consumed by B2C buyers:
As another example for a B2C website in Shopping category, we can mention slickdeals.net:
Finally, match.com is another example for B2C websites with Dating context:
Our ad buying performance results clearly shows that targeting B2B audiences by running crawlers and classifiers to generate a large list of high quality B2B publishers can be an effective strategy for targeting the right B2B audiences.
A.I. Optify does not require any minimum spend to run & optimize B2B and B2C advertising campaigns.
To learn more about our Programmatic Ad Buying Services, contact us at: email@example.com