BusinessIntend — revenue intelligence, outbound and go-to-market
Research, playbooks and analysis on B2B prospecting, outbound engagement, deliverability and AI in the revenue stack.
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Outbound sequence design that survives first contact
Most sequences fail for structural reasons, not copy reasons. Here is the shape of one that works, and the four decisions that determine whether it does.
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Cold email deliverability: a working guide
SPF, DKIM, DMARC, warm-up and sending caps, explained as an engineering problem rather than a checklist. Plus how to diagnose a drop that has already happened.
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What AI actually changes in B2B sales (and what it does not)
Three places where AI produces measurable lift in revenue work, two where it reliably makes things worse, and a test for telling them apart before you buy.
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Which buying signals actually predict pipeline
We ranked the common intent signals by how much they move conversion. Job changes and funding are not equal, and one widely-sold signal barely registers.
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Writing an ICP definition that holds up under pressure
Most ICP documents are a description of existing customers with the inconvenient ones removed. Here is how to build one that a rep can act on and a model can score.
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CRM hygiene without a mandate
Nobody updates the CRM because they are asked to. Four structural changes that make the data accurate as a side effect of work reps already do.
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Building revenue attribution that survives scrutiny
First touch, last touch and multi-touch all produce different numbers from the same data. Here is how to pick a model you can defend and what to do about the gap.
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The five-tool outbound stack, and what it costs you
Data, sequencing, dialling, enrichment and deliverability bought separately do not add up to a system. An audit of where the seams cost real pipeline.
Topics
Outbound Strategy · AI in Sales · Deliverability · Data & Signals · Revenue Operations