How do discounts and existing backlogs affect when and how much customers use newly purchased digital goods?

Host: Welcome to A.I.S. Insights — powered by Living Knowledge. I'm Anna Ivy Summers. Today, we examine a study titled "Attention Volatility in the Digital Economy: The Dual Role of Digital Assets," presented at the International Conference on Information Systems in 2026 by researchers Jiho Hwang and Sehwan Oh. The study investigates how users' digital portfolios—specifically unplayed purchases and prior experience—shape what they actually play after acquiring new content on platforms like Steam. Alex, thanks for joining us.

Expert: Hello Anna. It's great to be here.

Host: Let's start with the central issue. Many of us have digital libraries filled with games, books, or media we bought on sale but haven't touched. Why is this an important problem for platforms?

Expert: Digital storefronts make accumulating content relatively inexpensive. However, while acquiring an asset takes seconds, consuming it requires finite human attention and time. In business, platform operators often treat gross sales or transaction counts as the final measure of success. But that overlooks post-purchase reality: does a purchase actually get consumed, or does it sit indefinitely in a digital backlog? If purchases don't lead to engagement, long-term platform health and customer retention can be compromised.

Host: How did the authors examine this empirically?

Expert: The researchers tracked a five-month panel of 3,695 Steam users. They separated post-purchase behavior into two distinct dimensions: entry dynamics, which is the time elapsed until a user first launches a newly bought title, and allocative displacement, meaning how users divide their playtime between new purchases and incumbent titles they already owned. They analyzed entry dynamics using Cox proportional hazards models and allocative displacement using two-way fixed effects regressions.

Host: And they evaluated how a user's existing collection interacts with different types of promotions. What did they find?

Expert: The study identified two key portfolio states: inventory overhang, which is the volume of unplayed titles, and consumption capital, which is the breadth of titles a user has actually played. The findings show that how these states relate to consumption depends heavily on the promotion environment.

Host: What happens during routine discounting?

Expert: When routine discount intensity increases across the store, users with large unplayed inventories wait longer to play newly acquired titles and allocate less relative playtime to them. Essentially, a routine purchase enters an already crowded backlog and gets deprioritized. Conversely, users with broader consumption experience activate routine discount purchases sooner and allocate more playtime to them, likely because their prior experience helps them identify titles that match immediate consumption goals.

Host: What happens when platforms offer rare deals or historical price lows?

Expert: The patterns reverse. In rare-deal environments, users with larger unplayed inventories show faster first play and shift more playtime to the new asset. A rare discount appears to break through backlog inertia. In contrast, users with broad consumption experience exhibit delayed initial play and allocate less relative playtime to rare-deal purchases. These experienced users appear willing to secure an uncommon price without immediately interrupting their ongoing consumption.

Host: It is also worth noting the robustness of these results.

Expert: Exactly. The entry dynamics findings remained statistically stable across multiple sampling and retention checks. However, allocative displacement estimates weakened when restricting the analysis to strictly continuous panels, indicating higher sensitivity to user sample continuity.

Host: What are the practical takeaways for platform managers and digital publishers?

Expert: First, platform metrics need to look beyond conversion. Measuring entry latency and relative time allocation provides early visibility into whether users are adopting or merely stockpiling. Second, platform interface design can support activation. Storefronts and libraries could separate "play next" from "save for later," surface dormant titles, and trigger recommendations based on consumption readiness rather than purchase recency alone. For consumers, distinguishing purchase decisions from immediate time commitments helps manage backlogs more effectively.

Host: That provides a clear framework for rethinking post-purchase engagement. Alex, thank you for breaking down the study.

Expert: Thank you, Anna.

Host: And thank you to our listeners. Join us next time on A.I.S. Insights — powered by Living Knowledge.