Clickstreams, CRM, media spend, and product usage sit in disconnected tools—making true 360° customer views and real‑time activation nearly impossible.
Incomplete visibility into customer touchpoints across multiple channels
Outdated audience segments missing current customer behavior
Wasted spend on campaigns that don't drive meaningful results
Manual processes delaying campaign optimization and iteration
Stream click & product events into LakeFlow; agents update audience membership in under 60 s.
LLM agents read performance reports, recommend budget shifts, and open Jira tickets for creative tweaks.
Combine CRM, support, and usage signals to predict churn probability & lifetime value.
RAG agents pull brand tone docs; LLMs draft ad variants matched to each segment.
Supervisor orchestrates time‑series agents to quantify channel lift and scenario‑plan spend.
Agents crunch experiment logs, flag stat‑sig winners, and write recaps to Slack.
LakeFlow Connect ingests web, app, CRM, and ad‑cost data into Delta with identity resolution.
Supervisor dispatches segmentation, predictive, and creative agents; merges outputs with full lineage.
Agents push audiences to ad networks, send insights to BI, and learn from campaign outcomes.
Design identity graph, consent management, and real‑time features on Databricks.
Deploy AutoML or custom models with explainability & CI/CD.
LLM‑powered copy and image generation, with guardrails for brand & compliance.
Bayesian or causal agents quantify channel effectiveness and scenario‑plan spends.
Stream data to Meta, Google, TikTok, and custom endpoints with Serverless services.
Dashboards for ROAS, segment drift, and LLM cost—PagerDuty hooks for issues.
Book a consultation to see how PipeIQ drives personalization and performance marketing—without data silos.
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