Connect your customer, market, and operational data. Analog uses it to simulate how people and systems may respond to a new price, product, policy, or strategy.
How would demand change if the price moved to $19?
Analog uses your data, changes one or more conditions, and runs the scenario many times. You see the likely outcomes, the range of uncertainty, and what drives the result.
Why grounding matters
Start with the data you already have. Then connect, ground, test, and compare simulations in four steps.
Add interviews, surveys, CRM, transactions, operations, market data, and other relevant sources.
Analog grounds each simulation in your evidence about the people, organizations, and systems involved.
Change a price, product, policy, message, supply constraint, or competitor action.
See how outcomes differ, what drives each result, and where the evidence is strong or uncertain.
See how customer segments may react based on your interviews, surveys, CRM, and behavioral data.
Change a price, product, policy, or constraint and compare the likely effects before you commit.
Predict a response, stress-test a plan, or compare options using the same grounded simulation.
Test a new price, product, message, policy, or market entry before you launch it.
What happens if we enter two months earlier?
Move launch from June to April
An earlier entry may increase reach, but only if local supply can support the first six weeks.
Enter early in two regions first, with additional inventory reserved for weeks three through six.
Test decisions involving customers, markets, operations, organizations, policy, and risk.
Test how customer segments may respond to a new product, feature, package, or price before launch.
Simulate a market entry, competitor move, or positioning change across audiences, regions, and channels.
Stress-test supply and operations against demand changes, disruptions, delays, and new constraints.
Estimate adoption, access, cost, and unintended effects before launching a policy or public program.
Test how teams may respond to new incentives, tools, structures, workflows, or operating models.
Simulate how customers, partners, and markets may respond to rates, shocks, and investment decisions.
Analog shows which data supports each result, how confident the simulation is, and which assumptions could change the answer.
“Customers who adopted through a guided trial retained at a higher rate even when demand became less predictable.”
What you need to start
Analog can begin with the evidence already available, then show where more information would materially improve the simulation.
A price, launch, policy, strategy, disruption, or investment you need to test.
Interviews, surveys, CRM, transactions, operations, mobility, market data, or other observed evidence.
The adoption, demand, resilience, access, cost, or risk measure that will guide the choice.
What every result includes
Questions
Clear answers about the data, method, and limits of decision simulation.
A forecast estimates what is likely if current patterns continue. A simulation changes a condition—such as price, timing, policy, or supply—and simulates how the people and systems involved may respond.
No. Analog starts with evidence relevant to your decision, including your first-party research and operational data. General knowledge can provide context, but it is not presented as evidence about your customers.
Qualitative and quantitative sources can be combined: interviews, surveys, CRM, transactions, product usage, logistics, financial history, mobility, public records, and market signals.
Results are checked against observed history or held-out data when available. Analog also shows the expected range, source coverage, assumptions, and uncertainty instead of reducing every answer to one confident number.
Analog makes the gap visible. Confidence falls, assumptions are identified, and the result shows which additional evidence would most improve the decision.
Data access, isolation, retention, and deployment requirements are defined before an engagement begins. The appropriate setup depends on the sensitivity and systems involved.
See how it may play out, what could change the result, and which option is most likely to hold up.