Q: In adtech, what is meant by ‘legacy tech debt’ and why does it matter?
A: That’s a great question. In my opinion, it’s an accumulation of outdated technologies, custom integrations, and legacy processes that make a tech stack difficult and expensive to maintain. Most publishers have tech stacks and ad stacks with years of wrapper customisations, ad server configurations, bidder integrations, and overall just tons of third-party adtech duct taped together, creating unnecessary complexity and slow innovation.
What does this mean? Slower page load times, longer auction latency, higher engineering costs, and missed revenue opportunities. Legacy tech debt makes it harder to adopt modern and highly innovative solutions that react quicker to drastic market changes and new demand opportunities. Modernising the monetisation stack reduces operational bottlenecks, improves site performance, accelerates testing and optimisation, and ultimately helps publishers maximise revenue while lowering total cost of ownership.
Q: If the infrastructure still “works”, why change it?
A: Legacy tech isn’t necessarily broken – you can operate a great tech stack, with some really good partners and great vendors powering things like their Prebid wrapper, all the way to things like AB testing and analytics. It’s often just a lot of moving parts and consolidated platforms. What is needed is a way to bring a bunch of different products, services, and features under a single umbrella. Everything is built with the purpose of working together. Everything communicates the way it’s supposed to. No band-aids, no wonky integrations – a full platform to help empower their entire advertising operations. RevOps in a bottle. That’s what we offer.
Q: What challenges does a publisher face when deciding to rip out infrastructure they’ve relied upon for years?
A: One of the biggest challenges publishers face when replacing long-standing infrastructure is the perceived risk of change. Most teams see GAM (Google Ad Manager) as the source of all truth and the backbone to their entire advertising operations, so adopting a new platform comes with a learning curve and concerns about disrupting established workflows. It’s also common for publishers to underestimate how much control they actually have over their monetisation strategy, having become accustomed to the limitations of legacy systems.
While gaining access to more configuration options, testing capabilities, and optimisation tools can initially feel overwhelming, it really just empowers teams to make faster, data driven decisions without relying on backlogged dev cycles and sprints. While it might seem like a migration adds complexity, really most are designed to give publishers greater visibility, flexibility, and ownership of their ad stack. Once teams become comfortable with that level of control, they often find they can innovate more quickly, optimise revenue more effectively, and adapt to market changes with far greater confidence. If you’re able to run multiple split tests per week, and each term drives a fraction of a percentage of lift, that just adds up over time.
Q: How can publishers go about ensuring a successful infrastructure-replacement project?
A: First off, it’s a team effort. Both from the publisher side and the tech provider side. Publishers may know their business like the back of their hand, but they also need to be comfortable with learning a new platform and modifying their workflow. And the tech provider needs to learn the publisher’s strategy; no two publishers are the same.
Start with an audit, replicate the existing setup to get an apples-to-apples comparison of the legacy stack versus the new infrastructure and framework. Then clearly define the KPIs. If it’s revenue focused, plan for the long-term growth and improvements, not the short-term squeeze. If it’s focused on the website performance, benchmark the current vitals. There’s a thin line between revenue and user experience, and maintaining that balance is the only way to improve the lifetime value of the user.
Then dive into the data. What metrics are you seeing that could be negatively impacting the long-term value and sustainability of the advertising performance? What can be improved? It’s a puzzle, and all of the pieces matter.
Q: What is the potential gain for publishers who get it right?
A: A real opportunity here is to use the dev and tech resources that were tied to simple things like integrations and tests to focus on initiatives that are more needle moving for the business. Not to mention, those previous tasks that required time and multiple people from diverse teams, can be deployed quickly and easily with immediate results.
Revenue roles can start to shift their focus to improving the user experience, versus bridging the gap in revenue. Better auction decisions can support site performance and advertiser outcomes, while clearer data helps teams understand which content and audiences create value. Over time, those insights can cut manual work and turn one-off improvements into compounding gains.
Q: At a time when publishers are under pressure from AI-driven traffic shifts, how should publishers be thinking about their ad infrastructure?
A: A lot like the last question, there’s a huge potential gain to offset what was lost from Google’s search evolution (SEO and AI) through improvements driven from reliable data and streamlined operations. Granular data at the auction, session and (where privacy allows) user level can then show where revenue is won or lost. The benefit should extend beyond CPM. The golden star metric is and will always be the lifetime value of the user.
The ad stack has to adapt while the audience and demand are still there. Dynamic floors can respond as buyers’ willingness to pay shifts; moving more auction logic server-side can ease browser load without losing competition; and traffic-shaping can stop you firing requests at partners unlikely to bid.
Everyone whose decisions affect revenue or the audience needs the same live view, so publishers can act during an opportunity rather than after analysing afterwards. It should also shape the build-versus-buy decision: specialist infrastructure can absorb more of adtech’s constant change, leaving publisher engineers to focus on the areas where their own work creates distinctive value.
Q: What’s in the pipeline from Assertive Yield?
A: A lot. And I couldn’t be more excited to see it all roll out. Our focus is to move further towards continuous, data-driven optimisations. Publishers already have plenty of dashboards. What they actually need is demand management wired to a live view of their advertising and non-advertising data, and then the ability to act on what they see.
Machine learning is central to that work because modern auctions are too complex for periodic, rules-based management alone. We’re applying it as a practical response to that complexity, while keeping publishers in control of their inventory and demand relationships.
The direction is towards less manual intervention, faster learning, and continuous improvement.
About us
Founded in 2019 by Nils Lind, Assertive Yield is a publisher-side revenue intelligence solution purpose-built by publishers for publishers, for yield management, optimisation, and traffic shaping. We help digital publishers and ad networks like Perion, Enthusiast Gaming, and LADbible Group to analyse and optimise advertising monetisation strategy by showing in real-time their first-party data, from all revenue streams, and with undisclosed granularity that generates great opportunities for every premium publisher. Make sure to follow us on LinkedIn and keep an eye out! Big things are coming for sure. For more information visit: www.assertiveyield.com
