Home Ad Exchange News The Trade Desk Plans To Lowball SSP Floor Prices; AI Is Coming For Live Sports

The Trade Desk Plans To Lowball SSP Floor Prices; AI Is Coming For Live Sports

SHARE:
Comic: Don't Mind Me

Here’s today’s AdExchanger.com news round-up… Want it by email? Sign up here.

Floor Plan

The Trade Desk will start undercutting SSP price floors in its bids starting next month, Insider reports.

Publishers often set minimum asking prices for their ad inventory. But their SSPs then typically tack on their own costs on top of these price floors. A publisher setting a minimum bid price of $1, for example, might have its inventory sold by an SSP that charges $1.50 – and then keeps the additional $0.50 for itself.

TTD argues that this practice artificially inflates the minimum asking prices set by publishers, and that SSP prices are not reflective of the real value of these ad impressions. 

Furthermore, SSP fees vary widely, meaning the price for the same publisher inventory differs depending on which supply-side platform is being used to purchase the inventory. TTD says ignoring the extra fees charged by SSPs could standardize publisher price floors if other DSPs follow suit.

Like TTD’s OpenPath, which allows advertisers to buy ads directly from publishers, the move reflects its growing influence on the sell side of the ad tech ecosystem and its efforts to cut out SSPs.

But, as ad tech expert Ari Paparo tweeted, “Publishers can still choose to ignore these lower bids.”

An AI Blitz

Amazon is building AI features for Thursday Night Football with graphic overlays to help viewers follow the live gameplay, TechCrunch reports.

Among the new features: A red orb that lights up players on defense about to run in for a blitz, a green orb that highlights players open for a pass and lines that indicate the likelihood that a kicker will make a field goal.

How the heck does Amazon know that? Well, it has what it calls a “machine-learning neural network” that detects speed and direction to determine whether a particular player is about to charge the opposing team.

“The ML model was tested on 35,000 plays and will continue to get smarter,” says Sam Schwartzstein, Prime Video’s analytics expert for Thursday Night Football.

Certainly sounds creepy, but hey, it’ll help fans follow the game.

Amazon tested its new AI chops during this week’s preseason game and expects a full rollout in time for the start of the season on September 14.

Amazon already has a handful of other AI features, which launched last year, including live stats and two-minute-long recap clips.

Faking It

The mainstreaming of AI is fueling a deepfake porn boom – and Big Tech companies are complicit, according to Bloomberg.

Google Search is the largest driver of traffic to deepfake porn sites. Between 2020 and 2023, traffic to the top 20 deepfake sites increased by 285%, with Google driving the majority of visits.

Because Google doesn’t proactively de-index deepfake sites, the victims have to undergo the onerous process of filing takedown complaints.

Meanwhile, Amazon, Microsoft and Cloudflare’s services and technology are used to create and host deepfakes. The former Twitter, true to its new name X, is widely used to share adult content, including deepfakes. And both Google’s and Apple’s app stores feature apps designed for creating deepfakes.

The popularity of deepfake porn is outpacing attempts by governments to regulate it. There are no federal laws criminalizing nonconsensual deepfakes, and only 13 states have passed such laws.

As a result, activists are pushing for the tech industry to self-regulate. Some companies, such as Stability AI, which bans the use of adult content for training its AI tech, are leading the way. But more can be done to address this growing problem.

But Wait, There’s More!

AI chatbots are helping web content farms copy content from top publishers. [Bloomberg]

Warner Bros. Discovery will add live news from CNN to its new streaming service, Max. [CNBC]

Meta is failing to moderate promotions of criminal activity on Instagram. [404 Media]

Why the future of digital-only local news may be small and email-based. [Press Gazette]

LinkedIn adds newsletter features to incentivize sign-ups. [Search Engine Journal]

GroupM partners with SeenThis to help advertisers reduce their carbon emissions. [Adweek]

You’re Hired!

ReachTV appoints George Sealey as EVP of development and production. [release]

Swedish electrical vehicle company Einride names Corinne Aaron as its new CMO. [release]

OOH media agency Talon brings on Alice Date as its first global group sustainability lead. [release]

Must Read

Who Will Stand Up For The Open Web?

The open web is done, stick a fork in it. Banner blindness is near universal, search traffic has run dry and publishers are struggling for oxygen. But what if that’s … not true?

A comic showing lab techs as stand-ins for legislators experimenting with provisions for US state privacy laws, including restrictions on collecting sensitive data.

What Publishers Don't Know About New Jersey’s Data Broker Law Could Cost Them

Attention, publishers: Although you might not think of yourself as a data broker, in the great state of New Jersey, that’s not really your call anymore.

Predict Bowl Icon. Magician Element, Forecasting Symbol – Vector.

Why This Marketing Measurement Company Just Open-Sourced Its Forecasting Engine

MMM can tell marketers what worked, but Lifesight’s open-sourced forecasting tool aims to tell them what to do next.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Podcasts Are Becoming More Programmatic. But Now Advertisers Have To Keep The Ad Load In Check

As programmatic buying becomes more common in audio, marketers and platforms fight the temptation to cram in as many placements as possible.

PubMatic Jumps On The Show-Level CTV Targeting Bandwagon

Connected TV advertisers are still pining after show-level control. And PubMatic announced contextual targeting at the episode level is available to media buyers accessing CTV inventory through its platform.

SQREEM Touts The Large Behavioral Model – Not The LLM – As The Winning Predictive Engine

Rather than relying on machine learning, SQREEM uses a mathematical AI model to track how systems change over time and predict audience behavior.