Writing for the iCustomer Blog on agentic GTM, decision intelligence, and the systems behind better marketing.
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Broad-reach LinkedIn campaigns work if you have a big budget and patience for 0.4% CTRs. Most growth teams have neither. Here is a segment-by-segment alternative built on live buying signals.
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Claude will answer confidently no matter how messy your CRM is. That confidence is the problem. Here are three ways a chat interface breaks when it sits directly on unmanaged customer data, and what should sit between the two instead.
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A workflow executes the same logic every time. A loop learns from every outcome and gets smarter with each cycle. Here is the four-step architecture behind that difference, and why it matters more as buyers get more automated.
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The CDP category is fragmenting into data-layer-native activation, agentic lakehouse platforms, and AI decisioning layers. Here's which pattern fits your architecture, and when a packaged CDP still makes sense.
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Financial services built the agentic decision platform playbook for underwriting and fraud. Here is the marketing translation: a decision engine, policy gates, auditable traces, and the feedback loop that lets GTM decisioning improve over time.
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Most growth teams are sitting on a goldmine. Yet most of that data never makes its way into their ad campaigns.