Adexchanger/ Multi-vendor/ Content rec

Blog by the WhizzCo Team


WhizzCo On Why Content Recommendation Needs A Shakeup

Adexchanger Whizzco Case Study on Content recommendation

Allison Shiff of Adexchanger recently interviewed WhizzCo CEO Alon Rosenthal about why its time for a radical change for content recommendation:

AdExchanger: What’s the idea behind WhizzCo?

ALON ROSENTHAL: We bring the concept of real-time bidding and optimization to the content recommendation market, which didn’t exist before. Historically, publishers, even the biggest ones, would implement a JavaScript tag on their site and work with a single vendor. Our platform allows them to work with multiple content vendors simultaneously.

So, conceptually, like header bidding but for content rec?

It’s not a new concept, and yet our biggest challenge is to educate the market. Publishers do this for other forms of monetization, like display and video, but not for content recommendation. That said, the number of exclusive content recommendation relationships is starting to go down.

When the market began, content recommendation wasn’t a big part of the overall revenue pie for publishers, maybe 1% or 5% tops, not interesting enough for them to try and maximize. Also, no one had developed the technology to let content recommendation vendors compete for traffic. So publishers just implemented a single tag from a single vendor, usually either Taboola or Outbrain, both of which were trying to conquer the market by striking exclusive deals and offering guarantees.

What’s broken about the way content recommendation usually works today?

Any single vendor has a limited amount of ad demand, even the biggest ones. If someone visits a publisher’s site multiple times in one day and that publisher only works with one vendor, there’s a very good chance this person will see the same ads on each visit.

This is why for years people thought most content recommendation was spammy and low quality. We’re working very hard on technology to provide a better-quality experience, and the budgets we’re pursuing are going up each quarter. Advertisers are increasingly curious about it.

Still, that’s not the only reason people associate content recommendation with low-quality advertising. Most of the time, it’s the ad content itself not the repetition that’s a turnoff.

We’ve worked very hard on our algorithms to decide which topics are quality and which are not. If a topic is related to an unknown brand, for example, we might flag it and decide it doesn’t qualify for our network.

There are two levels of quality we look at. The first is the vendor and the second layer is our own machine learning that goes through every article, topic and ad. For now, we don’t work directly with advertisers, just publishers and vendors. If it’s a vendor that we bring into an integration, it’s on us to ensure quality. We’re connected to enough demand sources and vendors that we’re able to pick the highest quality content from each.

What sort of targeting can you do?

We optimize for a number of different parameters, like geo, words on the page, the topic of the article someone is reading and the device and browser they’re reading it on.

What is the average eCPM and cost per click for publishers in your network?

CPCs can range anywhere from a couple of cents all the way up to 45 cents or 50 cents depending on the advertiser and how much they want the traffic. The network average CPC is 15 cents, although more premium pubs get around 20 cents to 25 cents.

With CPMs, it very much depends on the type of publisher, whether there’s organic traffic or a media buy, and how targeted the content is. A financial or sports publisher will have high CPMs because the audience is more targeted. On average, we’re seeing $5 CPMs, but it can go up to $6 or $7.

To read the full article on Adexchanger, click here>>> 




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