Writing for the iCustomer Blog on agentic GTM, decision intelligence, and the systems behind better marketing.
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The same buyer shows up in your data as five strangers. Identity resolution is how a CDP turns them back into one person, or one account.
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Fit tells you who might buy. Intent data tells you when. Here is how the FIRE framework combines both into a real sales-qualified lead signal.
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Reverse ETL tools move data one way and stop. Here's how the leading platforms compare on coverage, pricing, and setup, and where a real-time activation loop fits.
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Should you build or buy a customer data platform? Real cost drivers, when each option makes sense, and a third path that avoids the trade-offs entirely.
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A day-in-the-life account of running marketing ops and paid media on iHarness: loops that observe, decide, and act on the audience around the clock, and surface only the decisions that need a human.
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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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A decision system that scores customers in real time, activates across channels, and learns from every result, not another analytics report.
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Last-touch attribution makes Meta look like a hero. Conversion Lift and Incremental Attribution ask the harder question, and neither one is a complete answer on its own.
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Feature checklists and demo scores rarely predict whether a platform will move campaign performance. Six criteria that do, and how to test each one before you sign.
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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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