One Platform.
Five Modules.

iCustomer reads your existing audience data and external signals, scores every visitor and customer continuously by fit, intent, recency, and engagement, and makes the targeting decision. It then orchestrates the prioritized audience to whatever marketing tools you already use. It is the intelligence and decision layer between your data and your execution stack.

iCustomer's iWorkers are role-based digital twins, each assigned a specific job role within your marketing organization. They run on an always-on OODA Loop and a proprietary Decisioning Waterfall Framework with causal AI and compounding memory. Every decision is grounded in your actual data, signals, ICP, and campaign history, making output actionable rather than generic.

FIRE is iCustomer's account and customer scoring framework. F is Fit (how well they match your ideal profile), I is Intent (buying signals right now), R is Recency (how recently they engaged), and E is Engagement (depth and quality of interaction). Every customer and account gets a composite FIRE score updated continuously from your data signals.

A Decision Trace is iCustomer's audit record for every targeting decision. It logs what signal triggered the decision, which iWorker acted, what the FIRE score was, and what action was recommended. Decision Traces make every decision explainable and defensible for your team, your CMO, and your board.

iCustomer sits between your data layer and your activation layer. It is not a CDP and does not store or move data. It is not a campaign tool and does not run ads or write content. It is the decision context layer: the intelligence that reads your data, builds audience context, decides who to target and when, and activates that audience in your existing tools.