Always-On Intelligence
How I Run Marketing Ops and Paid Media With iHarness
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.
Deploy Loops, Not Workflows
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.
Which Audience Platforms Actually Integrate With Braze, Klaviyo, and Iterable
A practical breakdown of what actually makes an audience platform integration work with Braze, Klaviyo, and Iterable, and where a continuous audience intelligence layer like iCustomer fits next to your CDP or warehouse.
After the Score: Activation That Uses the Evidence
Most stacks build a good score, then activate it like it's 2015. How ABM plays, LinkedIn targeting, and outbound email get built from the score's own evidence.
Under the Hood: How a FIRE Score Gets Made
The mechanics of signal-based account scoring: how Fit, Intent, Recency, and Engagement become one FIRE Score, and how decision traces make the loop auditable.
Your ICP Is Not a Strategy. It's a Starting Line.
Account prioritization, not identification, is the real bottleneck in B2B growth. How the always-on FIRE Score turns a static ICP into a living intelligence loop.