Iowa election markets beat the polls
A $5-limit university market outperformed 964 national polls in 74% of U.S. presidential-election comparisons between 1988 and 2004.
Source: Scientific AmericanCollective forecasting
We apply the power of prediction markets to your forecast process.
Leverage the wisdom of your hive improving engagement and data quality in the process.
HiveForecast transforms pipeline reviews into prediction markets that surface more accurate forecast data you and your partners can trust.
History shows that prediction markets can model probabilities more accurately than other traditional methods at a fraction of the cost.
These stories show how prediction markets can be used to improve forecast accuracy and data quality.
A $5-limit university market outperformed 964 national polls in 74% of U.S. presidential-election comparisons between 1988 and 2004.
Source: Scientific AmericanA 20-30 person internal market on printer sales was closer to actuals than HP's official forecast in 6 of 8 tests, while exposing uncertainty bands.
Source: Mohr CollaborativePlay-money traders on HSX produced box-office and Oscar predictions as accurate as professional forecasters, proving incentives matter more than cash.
Source: Artificial MarketsGooglers logged 175k forecasts on ship dates, COVID, and tech trends; probabilities stayed close to perfect calibration months ahead of resolution.
Source: Google Cloud BlogOpportunities above a certain threshold become a lightweight collective forecasting market. Reps trade virtual coins, the system updates probability curves, and outcomes settle automatically.
When an Opportunity is created and its value is above a defined threshold, HiveForecast creates a market seeded at the 33% base rate with an owner stake.
Teammates buy Yes or No shares, seeing cost and price impact before they confirm.
Markets lock 48 hours before the close date or stage change; only eligible trades settle, late trades auto-refund.
Settlement updates wallets, leaderboards, and quantifiable calibration scores so admins can see who consistently calls it right.
Embed the market panel directly on the Opportunity page, launch trades through a guided ticket, and keep teams aligned with portfolio and leaderboard views.
Every user starts with a wallet of 1,000 virtual coins. Trades debit and credit the ledger, but no real currency changes hands.
No. Coins are playmoney designed to drive engagement and provide insightful signals without compliance risk.
HiveForecast uses an LMSR automated market maker. Liquidity is tuned via the “b” parameter so admins control how quickly prices move.
Markets stop accepting new trades 48 hours before the Opportunity close window. Any trade newer than that is automatically refunded at resolution.
No. We display market-derived insights alongside your existing fields, keeping your pipeline pristine while enhancing context.
Forecast data respects Salesforce sharing rules. Apex runs with sharing, enforces CRUD/FLS, and uses platform events for auditable updates.
See HiveForecast in action with your Opportunity lifecycle. We’ll walk through setup, collective forecasting mechanics, and how quantifiable calibration insights plug into your forecast cadence.