An illustrative simulation shows a population responding differently to a 15 percent price increase. Most remain, while smaller groups downgrade, delay, or leave.
Behavioral simulation platform
Simulate the human side of every decision.
Test how customers, employees, and markets respond—before the decision becomes real.
Reality is an expensive place to run your first experiment.
Mivora lets you test those decisions before the consequences become real.
Products launch. Prices change. Messages reach customers. Teams reorganize. Only then do companies discover how people actually respond.
- Head of Pricing · B2B SaaS: If we move to usage-based pricing, who screams first?
- Chief People Officer · 4,000-person company: What does three days in office do to attrition?
- GM · streaming service: How much does the ad tier cannibalize premium?
- VP of Product · fintech app: Do people trust us more if we show the fee upfront?
- Brand Director · beverage company: Does the rebrand read as fresh or as desperate?
- Head of Growth · marketplace: If we raise the take rate two points, how many sellers walk?
- CMO · insurance company: Which of these two campaigns moves people over 50?
- Founder · consumer app: Would anyone pay for this before we build it?
- Head of Retail · grocery chain: What happens to basket size if we kill the loyalty card?
- Policy Lead · city government: How do residents react to congestion pricing, block by block?
- VP of Sales · enterprise software: Does the new packaging simplify the choice or confuse buyers?
- Head of CX · airline: Which apology keeps a stranded passenger?
- Product Lead · gaming studio: Where in the first hour do new players quit?
- Head of Strategy · pharma: How do physicians respond when the price goes public?
- COO · logistics company: If we restructure the regions, which teams quietly stop cooperating?
- Editor in Chief · news outlet: Does the paywall change who subscribes, or just how many?
How Mivora works
From question to evidence.
A single workspace connects the population you study, the scenario you test, the outcomes you observe, and the evidence behind them.
01 · Decision
Define the decision
Describe a change, upload a concept, or compare competing strategies.
Decision under test
Raise enterprise pricing 15% at next renewal cycle.
Alternative A
+15% across all tiers
Alternative B
+8% with annual lock-in
Stimulus attached: pricing page draft · renewal email copy
- Agents can see
- Announcement, price table, FAQ
- Agents cannot see
- Internal margin targets
- Time horizon
- Two renewal cycles
- Environment
- No competitor price moves
- Runs
- 200 per scenario
02 · Population
Ground the population
Build the audience from real demographic, behavioral, attitudinal, and organizational data.
4,280
Simulated profiles
87%
Traits observed, not inferred
Trait distributions
Observed share
- Company size82%
- Industry90%
- Role & seniority74%
- Usage intensity91%
- Price sensitivity66%
- Attitudes toward vendor58%
Weakly represented: firms under 50 employees · non-US regions
Inspectable respondents
MAYA · 34
Operations lead · Mid-market logistics
DANIEL · 41
Finance director · Enterprise retail
SAM · 31
Founder · Early-stage software
- Weighting
- Post-stratified to customer base
- Sources
- CRM · survey panel · usage logs
- Audit
- Demographic parity checked
03 · Outcomes
Run possible futures
Simulate individual reactions, group dynamics, and population-level outcomes.
Outcome distribution
A · +15% — B · +8%
- StayA 72% · B 84%
- DowngradeA 13% · B 8%
- DelayA 8% · B 5%
- LeaveA 7% · B 3%
Recommendation: Alternative B retains most revenue-at-risk segments while capturing the majority of the intended increase.
- Confidence interval
- Churn 5.4–9.1% (90% CI)
- Segment movement
- SMB drives 61% of churn
- Tipping point
- Behavior shifts above +18%
- Scenario delta
- B reduces churn by ~4 pts
Sensitivity
The result is most sensitive to assumptions about competitor response and annual-contract adoption.
04 · Evidence
Inspect the evidence
Explore segments, explanations, uncertainty, assumptions, and the factors that change the result.
- Data sources
- CRM export · 2 survey waves · usage logs
- Model version
- mivora-sim [vX.X]
- Benchmark relevance
- Pricing studies, B2B populations
- Population coverage
- Strong for 50–5,000 employee firms
- Held-out evaluation
- Passed on nearest benchmark family
Calibration
Assumptions & limitations
- Assumes announcement reaches all accounts within one week.
- Competitor pricing held constant across the horizon.
- Attitudinal traits partially inferred for 13% of profiles.
- Behavior beyond two renewal cycles is out of scope.
Out-of-distribution warning
Increases above +30% fall outside validated benchmark ranges. Mivora will flag, not guess.
Interface shown with illustrative example data.
Use cases
One simulation layer.
Decisions across the enterprise.
Segments surfaced from one weighted population