How to Monetize Remnant Inventory: A List of AdTech Networks That Can Help
Remnant inventory, the impressions left over after your primary demand partners and direct sold campaigns have already had their shot, is one of the most consistently under monetized parts of a publisher's ad stack. It's easy to treat it as an afterthought, since by definition it's the traffic your best paying partners already passed on. But left unaddressed, it quietly adds up to a meaningful share of lost revenue over a year.
This guide covers a practical approach to monetizing remnant inventory, followed by a categorized list of the types of adtech networks and platforms publishers commonly turn to for this specific problem.
A Practical Approach to Monetizing Remnant Inventory
Confirm it's actually being routed somewhere. Some ad stacks simply stop calling any demand source once primary partners pass, meaning that inventory generates zero revenue by default. Before evaluating specific networks, check your ad server configuration to make sure remnant requests are being sent anywhere at all.
Avoid a single, static fallback network. Routing all remnant inventory to one network at a fixed price is the simplest setup, but it caps your upside, since that one partner won't have the best bid for every impression, every time. A layer that can evaluate multiple sources gives you a better shot at capturing whatever demand actually exists for each specific impression.
Prioritize real time evaluation over static ranking. Static waterfalls, even ones with several remnant partners in a fixed order, still call partners sequentially based on historical averages rather than live demand. Platforms that evaluate demand per impression, in real time, generally recover meaningfully more of this inventory than a static rank order.
Check for conflict with your primary stack. Any remnant layer should activate only after your primary demand, including header bidding, has already passed. A remnant solution that competes with your existing partners for the same impressions can quietly cannibalize revenue you're already earning elsewhere.
Watch viewability, not just fill rate. Remnant inventory is often disproportionately made up of lower positioned or off peak placements, which can also have weaker viewability. A network that maximizes raw fill without regard for viewability can suppress your CPM over time as advertiser bidding increasingly factors viewability in.
A Categorized List of AdTech Networks and Platforms
There's no single right answer for every publisher, the best fit depends on traffic volume, content category, geography, and existing stack. Below is a categorized overview of the main types of networks publishers commonly evaluate for remnant and general display monetization. Eligibility requirements, minimum traffic thresholds, and terms vary and change, so it's worth checking each provider's current requirements directly.
Major programmatic ad platforms
These are large scale, general purpose demand sources that most publishers already have some exposure to, directly or through an SSP.
- Google Ad Manager / AdSense
- Media.net
- PubMatic
- Index Exchange
- Magnite (formerly OpenX and Rubicon Project)
Native and content recommendation networks
These monetize through recommended content widgets, often placed at the end of articles, and can be a useful complement to standard display for remnant placements.
- Taboola
- Outbrain
- Mgid
Volume focused and performance networks
These networks are often used for high volume, lower tier traffic, including pop under, push notification, and redirect based formats. They can fill inventory that struggles to attract standard display demand, though format choice matters for user experience.
- PropellerAds
- Adcash
- ExoClick
Full service publisher monetization managers
These platforms manage a publisher's broader ad stack, often including header bidding setup, in exchange for a revenue share, and are generally aimed at larger, established content sites.
- Ezoic
- Raptive (formerly AdThrive)
AI driven real time optimization platforms
This category is built specifically around the mechanics of remnant inventory, evaluating live demand per impression rather than relying on a static rank, and typically operating as a secondary layer with no conflict to existing demand.
- AdBunny, single JS tag, activates only after primary and header bidding demand has passed, real time per impression evaluation
How to Decide Which to Use
Most publishers end up running more than one of these simultaneously, a primary programmatic stack for premium inventory, possibly a native network for supplementary placements, and a dedicated remnant layer underneath to catch whatever the rest of the stack passes on. The mistake to avoid is treating any single network, especially a static one, as a complete remnant solution on its own. Testing a candidate network on a portion of remnant traffic first, rather than committing your entire fallback layer at once, is a reasonable way to evaluate real performance before fully committing.
Frequently Asked Questions
Can I run multiple remnant networks at the same time?
Running one, well matched remnant layer is usually more effective than stacking several, since most remnant solutions are designed to catch the same fallback impressions and end up competing with each other rather than adding incremental fill.
Do all these networks require a minimum traffic threshold?
Many do, and thresholds vary significantly by provider and change over time, so it's worth checking current requirements directly with each network before assuming eligibility.
What's the fastest way to test a new remnant network without disrupting my existing setup?
Routing a portion of remnant traffic to the new network first, rather than replacing your entire fallback layer at once, lets you compare real performance before committing fully.
Key Takeaways
- Remnant inventory is commonly under monetized, often because it's routed to a single static fallback, or not routed anywhere at all.
- Real time, per impression evaluation generally outperforms static, historically ranked fallback networks.
- Publisher options span major programmatic platforms, native networks, volume focused performance networks, full service managers, and AI driven real time optimization platforms.
- Testing a new network on a portion of remnant traffic first is a lower risk way to evaluate fit before full commitment.