Home The Sell Sider Header Bidding And The Fate Of RTB

Header Bidding And The Fate Of RTB

SHARE:

ericberry-sellsiderThe Sell Sider” is a column written for the sell side of the digital media community.

Today’s column is written by Eric Berry, CEO at TripleLift.

Header bidding has added significant value to the publisher ecosystem, maximizing revenue and creating opportunities to democratize access to the ad server.

A series of fascinating trends in the header bidding context have emerged that, if they continue, will significantly change the dynamic of real-time bidding (RTB).

Real-time bidding is based on the proposition that the highest bid wins at the second-highest price. While the justification for this principle may or may not be sound, agents can profit if they can correctly value an impression with low demand – or at least with a relatively high differential between the first and second auction prices, reducing the bid price significantly. This dynamic only works if there is a single auction for the impression. That means all bids are compared at the same time, quickly determining the highest and second-highest bids.

Header bidding relies on a number of parallel auctions generally submitting bids to compete against demand in AdX, Google’s ad exchange, and first-party line items in Google’s DoubleClick for Publishers (DFP). DFP does not conduct a second-price auction. Header bids pay the number they submit.

This means that a number of header bidding results compete against the prices from DFP line items and the price submitted through AdX, possibly the result of a second-price auction. If an exchange that submits a bid through a header bidding system includes a buyer willing to pay the highest overall price – high enough that it would win against any other buyer in any other header bid and DFP, but the second-highest price on that same exchange is sufficiently low that it would not win – the choice of what to submit in a header bid presents a challenge.

It would be highly inefficient if the exchange responded with a value in the header at the second price. The publisher loses because its revenue isn’t maximized. The “winning” advertiser loses because it doesn’t actually win the impression it wanted and submitted a high bid for. And the theoretically winning exchange loses because it doesn’t win an impression it could have won and doesn’t collect its margin.

All constituents here would be better served by an auction that clears between the first and second price. But what if that same exchange had submitted a number higher than its second price, such that the advertiser that submitted the highest bid had been able to win at a price still lower than its own bid? The publisher would then earn higher revenue per thousand impressions. The advertiser wins the impression it wants while still retaining some margin below its bid. The exchange representing the highest single demand source also wins.

As a result, exchanges will be tempted to increase the price they’re willing to submit. This would put them somewhere in the range between the first and second prices so they could clear more impressions. This will likely create a race to the bottom where bids submitted by exchanges in the header bidding context approach the first price, minus some margin.

This first-price effect is exacerbated by the fact that the same impression is sent to multiple exchanges in the form of multiple header bid requests. This results in each exchange in turn sending the bids to generally the same set of demand-side platforms (DSPs).

Subscribe

AdExchanger Daily

Get our editors’ roundup delivered to your inbox every weekday.

Theoretically, a DSP should bid the same amount for the same exact impression, regardless of exchange. That, however, is not the case in reality. DSPs bid against themselves across exchanges – not just for impressions lower in the waterfall, but at the same exact position in the waterfall.

This means a DSP may see an impression on two different exchanges and bid accordingly based on its biases for each exchange. Because both exchanges will eventually move closer to a first-price auction, the DSP will simply end up paying the highest of its bids for any impression, across any exchange. This duplicates bid processing efforts.

DSPs could be tempted to only choose to buy inventory for a certain publisher from a certain exchange, reducing the overhead from header bidding. Publishers, however, could easily circumvent this by randomly excluding certain header tags on certain impressions, meaning no exchange could see every impression.

These problems are significantly less prevalent for native advertising because few vendors support header bidding and there is no “replication” of bids due to each vendor providing a completely unique experience.

For banner ads, however, the advertising product is more fungible between exchanges. It’s essentially the same underlying asset that’s being shown to the user, without any special rendering by the exchange. In this context, one natural result may be larger DSPs developing their own header bidding solutions to preempt declining bid reduction and the cost of highly duplicated bid requests.

Another result might simply be the natural evolution of RTB toward first-price auctions. This has been discussed before, but header bidding may accelerate what to many industry observers appears to be the natural conclusion of RTB.

Follow Eric Berry (@ezberry), TripleLift (@triplelifthq) and AdExchanger (@adexchanger) on Twitter.

Must Read

The Arena Group's Stephanie Mazzamaro (left) chats with ad tech consultant Addy Atienza at AdMonsters' Sell Side Summit Austin.

For Publishers, AI Gives Monetizable Data Insight But Takes Away Traffic

Traffic-starved publishers are hopeful that their long-undervalued audience data will fuel advertising’s automated future – if only they can finally wrest control of the industry narrative away from ad tech middlemen.

Q3: The Trade Desk Delivers On Financials, But Is Its Vision Fact Or Fantasy?

The Trade Desk posted solid Q3 results on Thursday, with $739 million in revenue, up 18% year over year. But the main narrative for TTD this year is less about the numbers and more about optics and competitive dynamics.

Comic: He Sees You When You're Streaming

IP Address Match Rates Are a Joke – And It’s No Laughing Matter

According to a new report, IP-to-email matches are accurate just 16% of the time on average, while IP-to-postal matches are accurate only 13% of the time. (Oof.)

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters
Comic: Gamechanger (Google lost the DOJ's search antitrust case)

The DOJ And Google Sharpen Their Remedy Proposals As The Two Sides Prepare For Closing Arguments

The phrase “caution is key” has become a totem of the new age in US antitrust regulation. It was cited this week by both the DOJ and Google in support of opposing views on a possible divestiture of Google’s sell-side ad exchange.

create a network of points with nodes and connections, plain white background; use variations of green and grey for the dots and the connctions; 85% empty space

Alt Identity Provider ID5 Buys TrueData, Marking Its First-Ever Acquisition

ID5 bought TrueData mainly to tackle what ID5 CEO Mathieu Roche calls the “massive fragmentation” of digital identity, which is a problem on the user side and the provider side.

CTV Manufacturers Have A New Tool For Catching Spoofed Devices

The IAB Tech Lab’s new device attestation feature for its Open Measurement SDK provides a scaled way for original device manufacturers to confirm that ad impressions are associated with real devices.