oranai-ltd/oransim

Oransim is a marketing simulation tool aimed at enterprise marketing teams, specifically the people who decide where to spend campaign budgets. The core problem it addresses is that traditional marketing analysis tools tell you what already happened, but can't answer "what would have happened if we'd made a different decision?", for example, if you'd picked different content creators, shifted budget to a different platform, or changed your timing mid-campaign. Oransim uses a technique called causal simulation: it models a large virtual population of consumers and runs "what if" experiments (called counterfactuals) against that population. Instead of A/B testing a campaign for two weeks at real cost, you can simulate it in about 60 seconds. The engine can rank combinations of creative content, creator choices, and budget allocations before you spend any money, show you how a mid-campaign change (like swapping one creator for another on day three) would affect outcomes over the following two weeks, and attribute performance after a campaign ends by replaying it with different platform choices. The open-source version runs on a 21,000-item demo dataset so you can inspect the full causal logic yourself. An enterprise data license unlocks a much larger dataset of indexed social media content and creator profiles. The tool is built in Python and the causal engine is open source under the Apache-2.0 license. The full README is longer than what was provided.