Home On TV & Video It’s Time To Move Away From VPAID

It’s Time To Move Away From VPAID

SHARE:

“On TV And Video” is a column exploring opportunities and challenges in advanced TV and video.

Today’s column is written by Andrew Broadstone, director of product management at Brightcove. 

The advent of the VPAID era came with a lot of false hope and promises. VPAID – Video Player-Ad Interface Definition – was supposed to be a game changer for the industry, allowing advertisers and publishers to work in harmony.

VPAID allows advertisers to craft and execute digital experiences for viewers, including the highly sought-after interactive ads. It also offered the promise of viewability. And it was supposed to help publishers sell more in-stream video ads.

However, as more companies adopt VPAID, the problems keep mounting, mainly the lack of support for mobile configurations and broken code. The biggest issue I see is the unreliability of the VPAID scripts.

The Wrong Approach

According to the IAB, VPAID was developed to help address market inefficiencies for publishers, advertisers and vendors by increasing common video and ad supply technology, providing specifications for advertisers to develop against and improving the video ad fill rate.

While addressing these inefficiencies is a necessity, VPAID is not the way to do it. In fact, VPAID is creating more headaches. The overarching issue with VPAID is it’s the single greatest source of unreliability of ad delivery of digital video advertising.

It increases error rates and latency significantly. User experience and fill rates suffer when VPAID is used, even on platforms where it works, not to mention the platforms that don’t support VPAID scripts. The unreliability of VPAID should be a huge concern for publishers because it can drastically take away from the user experience.

Furthermore, VPAID excludes a huge amount of valuable inventory from monetization. VPAID simply doesn’t work on OTT or apps, and it’s hit or miss on mobile web (mostly a miss). When campaigns require VPAID for execution, they are not compatible with the devices that account for a growing majority of digital video views. With the use of OTT services skyrocketing in recent months, not being able to monetize that content because VPAID doesn’t work on smart TVs and connected devices is a missed opportunity.

Publishers have little to no control over VPAID since it is software that is installed on a website without allowing the publisher to test it or even to know when it is going live. As a publisher this should be a red flag: What happens if and when the code goes live but doesn’t work? It decreases the value of the experience viewers have, opening the door for viewers to click away from the site or close the app. Worse, the publisher may lose viewers for good because the experience is so bad.

Would a publisher ever take untested code in any other context and deploy it to their live site? The answer is an overwhelming no, so why should VPAID be the exception?

Possible Alternatives

With so many concerns about VPAID, there needs to be another option, right?

Alternatives to VPAID include using pre-installed, tested, client-side code for viewability reporting. Publishers could also use server-side RTB instead of VPAID-based client-side ad managers for client-side waterfalls, auctions and pass-backs.

VAST 4.0 has the potential to help by separating the ad creative from the VPAID script, but it is only just starting to emerge within the ecosystem. And it will take time because while VAST 4.0 is great for publishers, media agencies potentially lose some control compared to its second and third versions, and they will have to change tools and processes to make it work. The buy side needs to be convinced that the ability to reach more inventory is worth the upgrade.

In today’s world, advertisers want to measure everything. Some worry that publishers can’t be trusted and fear fraudulent plays of a video are being reported. Originally, VPAID was a godsend for advertisers because they were in control, and it didn’t require coordination with the publisher. However, as time goes on, more people are realizing it doesn’t work as well as it should.

There are too many variables with VPAID scripts, too many places where the script can break and too many devices where it doesn’t work at all. There are better, more efficient options out there that can provide a more comprehensive view of how video ads are performing.

In the end, the goal is to make money, and that won’t happen when VPAID is ruining viewers’ experiences.

Follow Brightcove (@Brightcove) and AdExchanger (@adexchanger) on Twitter.

Must Read

Single continuous line drawing robot riding pencil rocket flying in the sky. Tech education and creativity. Future technology development. Artificial intelligence. One line design vector illustration

Q3: Omnicom’s Media Business Is Growing, But Is It Agent-Proof?

If AI agents can plan and buy media, who needs a holding company? Good question. It came up during Omnicom’s Q3 earnings on Thursday.

Netflix Touts New Measurement Capabilities As It Struggles With “Modest” Engagement Growth

Netflix’s revenue grew 12% YOY to $12.9 billion in Q3, which it maintains is in line with its forecast. Its ads business, however, is lagging slightly compared with expectations, causing Netflix to tweak its forecast for the rest of the year.

Apple Publishes Its Plan To Wipe Out Web Tracking

Apple is coming for identity resolution. WebKit’s latest tracking crackdown targets the infrastructure behind post-cookie IDs – and switching to a first-party setup won’t necessarily spare vendors.

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

AI Slop Sites Are On The Rise. Is Ad Tech Ready For Its New MFA Challenge?

Advertising supply chain intelligence company DecryptAds uncovered more than 2,100 AI-generated recipe sites that are monetized with programmatic ads and feature fabricated author profiles.

How Australian Home Lender Lendi Measures The Invisible Work Of AI

Most brands and businesses are trying to figure out how to improve their metrics when it comes to AI – and also what those metrics even are.

AI Startup Minerva Built An Agentic CDP, But Don’t Call It That

Minerva wants to turn fragmented customer data into something marketers can use, with AI agents doing the work behind the scenes.