Publishers have long sent inventory to market without the signals needed to communicate its true value — leaving premium supply structurally undervalued. Spark addresses this by combining dynamic traffic packaging (organizing inventory around buyer logic rather than page position) with traffic shaping (reducing bid request volume to only the most relevant opportunities). Together, the two capabilities drive measurable results: more active premium buyers, higher bid values, and significantly improved SSP efficiency — with minimal revenue downside. A UK publisher case study illustrates the effect in practice: fewer bids, a 45% CPM increase, and 9% incremental revenue.
Over the past decade, the buy side has built powerful decisioning systems. Publishers, meanwhile, have been sending inventory into the market with limited control over how it is interpreted or valued. The signals needed to differentiate that inventory are often fragmented, diluted, or captured by intermediaries.
The result: premium inventory is structurally undervalued.
The core idea behind Spark is simple: increase bidder engagement by improving both how inventory is packaged and how traffic is distributed.
Spark combines:
Spark dynamically repackages inventory using publisher-side signals such as viewability, engagement, and context. Instead of relying on traditional media structures (top of page, bottom of page, etc.), inventory is organized in a way that is directly aligned with buyer logic.
This creates larger, more coherent pools of inventory that are easier for algorithms to understand and value.
Traffic shaping complements packaging by controlling how inventory is exposed to demand. Spark selectively reduces the number of bid requests sent to each bidder, focusing only on the most relevant opportunities.
Individually, each brings incremental value. Together, they fundamentally change how demand perceives and prices inventory.
When dynamic packaging and traffic shaping are deployed together, the impact is immediate and measurable.
By making inventory more readable (through packaging) and more selective (through traffic shaping), Spark aligns supply with buyer algorithms and maximizes bidder engagement.
Across publishers, the combined effect consistently delivers:
This is not a marginal gain.
This is a structural shift in how demand engages with supply.
Fewer requests. Better signals. Stronger demand.
A mid-size digital publisher running Spark’s combined approach saw immediate results. Bid CPM increased by 45%, while bid rate decreased by 28%. The net outcome: an additional 9% revenue generated through the bidder.
Fewer bids. Higher prices. More revenue.
Spark doesn’t maximize volume — it maximizes value.
