For prediction markets, hype cooling off quickly is the norm. What can retain long-term users is not a specific type of event, but platform mechanisms that turn "event-driven" participation into "habit-driven" behavior. Polymarket's 30-day user retention rate surpasses 85% of crypto protocols, but this rests on its heavy reliance on high-attention events — and retention still falls when the hype recedes.
A leading global cryptocurrency platform,suitable for both beginners and experienced traders.
New user benefit: 20% off trading fees upon registration!！
1. Face reality: most users come and go
A joint report by Dune and market maker Keyrock sampled 275 crypto projects across public chains, DeFi, wallets and trading apps. The finding: the universal retention problem in crypto is that users come and go.
Polymarket's numbers are merely a relatively strong outlier — its average retention outperforms 85% of protocols. Yet even then, its active user expansion is strongly cyclical: when the spotlight fades, platform retention drops markedly. The 90-day retention rate is even lower, averaging just 11%, far below the 34% of DEXs and 28% of lending protocols.
This means that "being able to keep users" is a relative notion, not an absolute one. The real question is: which events and mechanisms can bring users back, rather than just bringing them in with a hot topic.
2. What retains users is not the event itself, but the "repeat participation" the event generates
The Keyrock report points out a structural difference between prediction markets and traditional crypto apps: trading revolves around real-world events — elections, sports, macro data — giving users a continuous reason to participate repeatedly. This isn't one-shot speculation; it's "process-based trading" around low-frequency events.
Specifically, the mechanisms that form long-term retention share a few common traits:
① Rhythm control through high-frequency events
Kalshi's strategy is the most representative: it didn't try to shape prediction markets into a "more serious information tool," but embraced sports directly. Sports offer three key features: high frequency (many matches per day), strong emotional drivers (users want to participate again and again), and fast settlement (capital flows back quickly). This gives prediction markets the attributes of a "day-trading tool" for the first time. Its trading volume growth is essentially the same capital being reused over shorter cycles, not purely an influx of new users.
② Relay rotation among high-attention events
Polymarket's growth follows a typical "step-up" pattern: driven by the election in October–November 2024, then jointly pushed by sports, macro and geopolitical themes from Q4 2025 to Q1 2026. The platform has already shifted from "blow up with one mega-event" to "multiple high-attention themes rotating in relay." Politics, sports and geopolitics together account for 92% of total trading volume — users don't come for "predicting"; they come because "these topics are being talked about."
③ Lower the entry barrier
After Gate exchange integrated a Polymarket on-ramp, users could participate directly with USDT from their exchange account, without needing a Polygon wallet and USDC. This resolved the core pain point of "on-chain friction." Polymarket's own monthly trading volume soared from under $100 million in 2024 to $10.57 billion in March 2026, and active users grew from 40,000 to 760,000. One of the variables behind that was "entry became simple."
3. So which events don't retain users?
Long-tail events contribute almost nothing to retention. The Keyrock report notes that long-tail "black swan" events make up 31% of all markets but only 3% of trading volume; meanwhile, high-probability events (>80%) account for just 14% of markets but 35% of volume. Users prefer to treat prediction markets as risk management tools for low-volatility, high-certainty events, not as gambling.
Another type that fails to retain users is user-created markets. Augur's lesson shows that when "anyone can create a market," liquidity gets fragmented across thousands of empty markets, user funds are locked for 10–14 days before settlement, and users even need to run an Ethereum node themselves. The result: around 47 daily active users, utterly mismatched with its peak market cap.
A leading global cryptocurrency platform,suitable for both beginners and experienced traders.
New user benefit: 20% off trading fees upon registration!！
4. Actionable: how to judge whether a prediction platform can retain users
Step 1: Check whether trading is concentrated in a few top events
What to do: Open the platform's volume distribution page (such as a Dune dashboard) and calculate the share of the top three categories.
How to do it: If politics, sports and geopolitics together exceed 80% and long-tail markets contribute very little, it means the platform depends on external event supply and doesn't have its own capability for sustained retention.
When it's done: You've assessed whether the platform's "event dependency" is high or low.
Step 2: Check whether users rotate across multiple events
What to do: Look at the platform's user behavior data — do users trade only one event and leave, or do they participate in multiple themes.
How to do it: If the 30-day retention rate is high but the 90-day retention rate drops sharply, it shows users only come back "when there's an event," and leave as soon as the hype is over. Genuine long-term users are those who switch between different event categories.
When it's done: You've determined whether the platform's user behavior is "event-pulse type" or "habit-driven type."
Step 3: Check whether the platform provides a "friction-reducing" entry point
What to do: Evaluate how many steps it takes for a user to go from "seeing the event" to "completing the first trade."
How to do it: If you need to download a wallet, prepare gas fees, manually add a network and bridge assets, that's a high-friction entry. Platforms that support direct participation via exchange accounts, one-click market creation and instant settlement are more likely to turn "first try" into "repeat use."
When it's done: You've judged whether the platform's barrier to entry is low enough for ordinary users to want to come back a second time.
Prerequisite: You are evaluating a prediction market platform and want to decide whether it's worth long-term attention or investment.
Risk warning: The founder of Inversion Capital has pointed out that integrating prediction markets into mainstream platforms too quickly can create "casino-style churn" — users may leave even faster because of high-frequency participation, not slower. If the platform is designed to maximize short-term betting rather than "accompany users' growth over the long term," high retention numbers may just be survivorship bias.
After completing the analysis, how do you know you've got it right?
Take three prediction platforms (e.g. Polymarket, Kalshi and a long-tail platform) and look at their volume concentration and retention curves. If Polymarket's 90-day retention rate is still above the industry average, while the long-tail platform's retention has dropped to single digits, you'll know that "what retains users isn't open creation, but the combination of event density and low entry barriers." Next, if you plan to put capital into a platform, prioritize those with mature event-rotation mechanisms, low trading friction, and user activity that doesn't depend on a single event.
