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Ad Tech Desperately Needs Data Exchange Standards

This op-ed originally appeared on AdExchanger.



In the ad tech ecosystem before OpenRTB, proprietary protocols caused long integration cycles, more code complexity and maintenance and custom logic for parsing requests.

The OpenRTB protocol replaced all proprietary protocols for sending ad requests from supply-side platforms (SSPs) to demand-side platforms (DSPs), resulting in faster integrations and a scaled ecosystem as a whole.

While this solved the SSP-DSP interaction almost a decade ago, there is still unfortunately no standard format for exchanging data between data management platforms (DMPs) and DSPs, posing a major point of friction in connections between DMPs and DSPs. There is a strong need for the standardization of data formats and the transport layer to push data from a DMP to a DSP.

While this problem has been around for a decade or so now, the proliferation of data providers has made standardization all the more pressing. While the DMPs and DSPs certainly stand to benefit from standardization, the real winners at the end of the day would be marketers. They would be able to more seamlessly leverage first- and third-party data, get campaigns set up quicker, more easily receive data back and never have to worry about integration timelines.

Today, the typical timeframe for adding a new integration from DMP to a DSP is anywhere from two to four months. The “standard” options for the transport layer can be via the file transfer protocol, S3 bucket or HTTP, and the data format itself can be proprietary. Product and engineering teams from both sides are involved in the integration, with calls, email threads and a lot of back-and-forth that could easily be avoided with a standardized data format.

The friction of sending and receiving data has resulted in niche DMPs using bigger DMPs like BlueKai to channel the data to media platforms. But usually this third-party onboarding results in a loss of functionality and scale, with a drop-off occurring at every data hop. Some companies also act as intermediaries to funnel the data from data producers to data consumers, which again results in loss of scale because of cookie translation. Data debugging becomes harder when third parties are involved, but unfortunately, due to today’s landscape, it’s required.

Offline transfer of data, such as through S3 or the file transfer protocol, results in less robust data validation. There is no feedback given to the sender on whether the data is received and processed correctly. Plus, if the data is time sensitive, such as first-party data used for retargeting, offline transfer will usually cause further delays, rendering the data useless.

Data formats are fragmented. Typically, audience data is organized by storing segment IDs by cookies, device IDs or email hashes. Whatever data format is chosen, it should support both adding and removing segment IDs to cookies or device IDs.

Another ideal feature would be bulk updates, where multiple user IDs can be modified, and each modification could even be accompanied by an expiration date until which the segment is valid. This could also support consumer choice and respect privacy through a standard opt-out that resonates across all IDs associated to the consumer. I could go on.

Having a standard format to send data across would drastically cut down the time taken for integration between DMPs and DSPs, resulting in a more seamless exchange of data. Plus, new integrations could be turned on with a flip of a switch, and a real-time transport layer could support time-sensitive data.

Just like OpenRTB has resulted in seamless integrations between SSPs and DSPs, the time is ripe to have a standard data format and transfer process for exchanging audience data between DMPs and DSPs. This will result in more platforms participating in the ecosystem, faster integrations and, ultimately, greater efficiencies for marketers.

The question is, who will lead the charge?

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