How do I build the data plumbing so activation signals reach sales while they still matter?
The chain is product events into a warehouse, a scoring definition on top, and a sync back into the CRM where reps already live. If a rep has to open a separate analytics tool to find out what an account did, they will not, so the signal has to arrive in their queue as a task. Latency is the thing teams underestimate: a signal that a trial account hit a limit is worth a lot on the same day and almost nothing a week later, so build for a daily sync before you build for a sophisticated score. Start with one event and one alert, prove a rep acts on it and it converts, then expand. Every team that starts with a 20-signal model spends six months building something nobody trusts.
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A five step process for building your first PQL definition, and the advice to start in a spreadsheet with a 30 to 60 day test before buying any tooling. That order saves most teams a wasted quarter.
The clearest breakdown of the three PQL types (hand-raiser, usage-based, needs-help) and the playbook each one deserves, which is the difference between a useful signal and a list nobody works.
Kazanjy is blunt that almost every bottom-up company eventually adds sales, so the only questions are when and how. He covers the sequencing, the data plumbing, and the mistakes, including delegating the first sales conversations too early.
A short, specific list of what to instrument on a self-serve funnel, including time to activation and time to convert, which are the two most people forget to track at all.
Verna is specific about what a product signal has to look like by the time it reaches a rep, and about the scoring and routing in between. That middle layer is the plumbing this question is about, and she has built it more than once.