Platform
AI-native GTM activate, learn, adapt & scale growth
Composable decision intelligence built on five primitives - Audience, Signals, Agents, Decisions, and a Learning Loop that turns your data into a compounding growth engine.
Define Audience
Gather
Signals
Deploy Agents
Make Decisions
Learn and Adapt
AI-Native GTM
GTM Operators Freindly
Five Key Composable Hubs
Operators deploy in this order — Audience → Signals → Decisions → Agents → Learning Loop — to get live value fast, then compound gains. Enterprise‑grade Infra (Integrations & Data Foundation) underpins every hub.
Audience
Outcome-driven audience graph
Owned, portable, governed.
Identity, ICP discipline, and portable cohorts you control across every tool — production‑ready, not static lists.
Identity Graph
Audience, Match-Boost, Visitor Intel, ROAS Optimizer, Attribution Resolver, Data Quality & Compliance.
ICP & Similarity
Segment‑level criteria; weighted scoring (fit × intent × value); lookalike discovery.
Cohorts & Activation
Policy rules, PII/consent, budget and frequency caps.
Governance
CRM/MAP (SFDC, HubSpot), ads (LinkedIn, Meta), warehouse (Snowflake, BigQuery), web, ESP.
Adapters
CRM/MAP (SFDC, HubSpot), ads (LinkedIn, Meta), warehouse (Snowflake, BigQuery), web, ESP.
Conversational Builder
Natural‑language audience creation with versioned save & review.
B2B
Build buying‑committee audiences for ICP fit; create intent‑spike cohorts; sync to LinkedIn; alert SDRs for ≥80 fit score.
B2C
Generate SKU/affinity cohorts from LTV; trigger segments for price‑drop, back‑in‑stock; cap frequency at 3.
KPIs
Match rate ↑ Targetable reach ↑ SQO quality ↑ Wasted spend ↓
Signals
Real‑time signal fabric - bespoke intent you can act on.
Capture every interaction, map it to intent, and expose durable features for models and agents.
Event Fabric
Streaming & batch from web, product, CRM, billing, support, partners.
Intent Mapping
IRules + ML translate behaviors to intents; surge/anomaly detection.
Feature Store
Computed features & windows (7/30/90‑day) for scoring, triggers, experiments.
Web De-anon
Compliant, firmographic inference, reverse‑DNS, enrichment.
Quality & Privacy
Schema registry, PII controls, consent enforcement, replay protection.
B2B
Detect research surges at target accounts; notify AE; trigger ABM sequences automatically.
B2C
Start price‑drop and back‑in‑stock journeys; throttle noisy events; keep latency sub‑second.
KPIs
Time‑to‑signal ↓
Trigger latency ↓
Intent precision ↑
Conversion lift ↑
Decisions
Policy‑driven optimization & unified analytics/attribution — explainable choices within budget.
Centralize constraints and objectives; run rules, decision tables, or optimization with full attribution.
Policy Hub
Global guardrails (brand, consent, compliance), audience eligibility, frequency caps.
Budget & Bidding
Per‑segment pacing, explore‑exploit, goal‑based allocation (CPL/CAC/LTV).
Experimentation
A/B/n, holdouts, geo splits; sequential testing with auto‑stopping.
Unified Analytics & Attribution
Cross‑channel stitching (web/MA/CRM/billing), multi‑touch + causal lift, model comparison & cohort views.
Explainability
Decision logs (inputs/outputs, confidence, responsible agent).
Risk Controls
Anomaly alerts, spend thresholds, auto‑rollback.
B2B
Role-aware ad/email sequences + SDR tasks.
B2C
Ad → onsite → email plays with frequency + offer guardrails.
KPIs
Cost per meeting/order ↓ conversion rate ↑
iteration speed ↑
Agents
Outcome‑driven GTM agents with memory and guardrails — production‑ready, not demos.
Compose micro‑agents to plan, create, and orchestrate plays; approvals and budgets keep actions safe.
Micro‑agent Orchestration
ABM Planner, Match‑Boost, Visitor Intel, ROAS Optimizer, Attribution Resolver, Compliance.
Memory
Session & long‑term context for cohorts, offers, channel history.
Guardrails
Policy checks, consent, budget caps, frequency limits, RACI approvals.
Adaptors
CRM/MAP (SFDC, HubSpot), ads (LinkedIn, Meta), warehouse (Snowflake, BigQuery), ESP & chat.
Conversational UI
Natural‑language commands mapped to safe, versioned workflows.
B2B
Build buying‑committee audience; launch TOFU/MOFU variants; push tasks to SDRs; pause on brand‑policy breach.
B2C
Create SKU/affinity lookalikes from top‑LTV cohort; launch price‑drop + back‑in‑stock; cap at 3 touches.
KPIs
Time‑to‑launch ↓ Match rate ↑ Manual hops ↓ ROAS/ROI ↑ Cycle time ↓
Learning Loop & Compounding Engine
Causal measurement with unified analytics & attribution — compounding gains by default.
Measurement
Stitch web/MA/CRM/billing; unify conversions and revenue.
Casual Inference
Uplift modeling, matched cohorts, per-segment incrementality.
Attribution Feedback
Multi-touch + causal-lift signals feed back into the feature store and Decision policies; auto-update ICP weights, bidding, and frequency rules.
Feedback
Auto‑promote winning variants; demote waste; refresh features & audience ranks.
Audit
Versioned experiments, approvals, lineage — built for governance.
Track true incremental lift, attribute it correctly, and feed results back into features, ICP weights, agent prompts, and Decision policies.
B2B
New outreach sequence lifts SQO rate 34% in 90 days; model updates eligibility rules automatically.
B2C
Triggered offer increases incremental revenue by 18%; reduce creative fatigue via rotation logic.
KPIs
Incremental revenue ↑
Cost per incremental lift ↓
Decision latency ↓
Iteration speed ↑
Turn Your Data into a Competitive Advantage
An opinionated yet composable platform automatically optimizes the AI workflow to fit your data and application while enabling ops teams to easily customize and scale modern AI solutions by integrating various components to optimize marketing and GTM outcomes.
Self-Learning AI
Our AI engine dynamically learns from your data, users and customer behaviour to further recommend and share updated insights from your evolving business. Also keep optimizing task and user personalization.
Data Warehouse
Zero copy data architecture so your data never leaves your environment, use your existing warehouse for every unique customer and prospect information stored, unified and uncovered from unknown to known with persistent enrichment and data quality.
Knowledge Grap
Entity resolved customer knowledge graph for persistent unification of fragmented data and signals for ongoing enrichment of info, labels, metrics, scores and analytics from both structured and unstructured data with universal ID.
LLM Agnostic
Any model provider or bring your own. We supports all major model providers, locally hosted and open-source models (incl. OpenAI, Cohere, Llama and Mistral).
Ontology & Taxanomy
Industry's first marketing/GTM focused Proprietary ontology and taxonomy for customer knowledge management with unique relationships between people, companies, relationship and places for ongoing enrichment & labels.
Privacy & Compliance Management
Advanced privacy compliance and tags enablement across HIPAA, SOC 2 Tier II, GDPR and CCPA ETC
Source & Destinations
With more than 200+ Integrations
Support
Systems
Product
Events
Web
Personalization
Data
Shares
Don’t see yours?
Contact us! We can likely connect via API or warehouse views.
Frequently Asked Questions
How is this different from a CDP?
CDPs collect and route data. iCustomer adds identity-driven audience ownership, agentic execution, a policy engine, and causal learning, turning data into actions and measurable lift.
Do we need a warehouse?
Preferred yes (BigQuery/Snowflake/Databricks). We offer a managed option if you don't have one.
How fast to first value?
A typical Start package lands value in 6-12 weeks, depending on sources and play complexity.
Will it replace our marketing automation?
No. iCustomer orchestrates and enriches; it activates through your existing systems or directly when useful.
What about data privacy?
Consent, suppression, and purpose tags bind to the audience and flow to every destination. You stay in control.
Which agents are included out of the box?
Persona Fit, ICP Scoring, Offer Selector, ABM Planner, Creative Copilot, Journey Orchestrator, Budget Pacer, Churn Save. Custom agents are supported.