“Made For Advertising” detection
Have you ever seen a website that has...
- Viral listcles...
- About subjects like celebrities, fun history, weird facts, or consumer packaged goods...
- That has dozens of “pages” in the URL bar for each article...
- With a banner ad (including video) placement on every page...
- With a funny name...
- With content that seems like it was made up by ChatGPT?
Then you have seen a “Made For Advertising” website. They look something like this
Anatomy of a Made For Advertising Content Farm page
How does it work?
The way this business works is arbitrage. To make it work, the creators of these network of sites purchase visitors (from a pay-per-click exchange like Taboola, Revcontent or Outbrain, or even Facebook) and then sell impressions on ad exchanges. As such, they are strongly incented to find many ways to maximize their revenues, hence the tricks above. Too expensive to hire writers? ChatGPT is only $20 per month. Buys have limits on impressions per URL? Make infinite scroll pages. Worried about controversial content getting caught in keyword filters? Only write about non-controversial subjects. Need to avoid traders optimizing out low performing inventory? Choose subjects that get contextual hits but aren't usually purchased online (e.g. CPG).
MContextual protects your budgets from Made For Advertising sites
You need a way to keep your budget from flowing to these sites!
MContextual data solves this problem for you. Because of the economics of building Made For Advertising sites, MContextual's powerful semantic lookalike modeling can find them and get them out of your lists quickly. Because it's based on the same neural network architecture as ChatGPT, MContextual works better than keyword providers.
MContextual can help defend against when planning a campaign or trying to analyze analytics from a completed campaign.