Causal Marketing Intelligence

CausalLTV — Causal Marketing Intelligence

Structural causal models and do-calculus to measure the true incremental impact of every marketing offer — per customer, with confidence intervals. Built for card issuers and fintechs who need compliant, explainable lift measurement.

Request Early Access See the API View API

AI Capabilities

Structural Causal Models (SCM)Causal Identification EngineHeterogeneous Treatment EffectsYAML-defined DAG with Audit TrailRefutation Tests (Placebo, Subset, Random)Compliance-Ready Decision Lineage

Core Capabilities

True causal effect estimation using P(Y|do(T)), not just conditional P(Y|T,X)

Automatic identifiability checking with backdoor/frontdoor criterion before any model fitting

Per-customer treatment effect estimation with confidence intervals

Human-inspectable YAML DAG with full audit trail for regulatory compliance

Automated refutation tests: placebo treatment, random common cause, and subset validation

REST API with <12ms warm response time for real-time offer decisioning at scale

API Endpoints

POST/v1/causalltv/recommendPer-customer optimal offer with treatment effects

GET/v1/causalltv/explainDo-calculus estimand and adjustment set

POST/v1/causalltv/evaluateDoubly-robust policy evaluation

POST/v1/causalltv/discoverCausal structure discovery (PC algorithm)

GET/v1/causalltv/dagCurrent DAG definition and metadata

POST/v1/causalltv/refuteRun refutation tests on estimates

Request Early Access See the API

Free sandbox with 50K synthetic records. No credit card required.