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.
4 hand-picked resources, 4 link-checked. Pick how you want to dig in.
Why we picked it 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.
From Pocus by Alexa Grabell 15 min read
Open pocus.com →Why we picked it 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.
From OpenView by Kyle Poyar 15 min read
Open openviewpartners.com →Why we picked it 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.
From Lenny's Newsletter by Pete Kazanjy 25 min read
Open lennysnewsletter.com →Why we picked it 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.
From Amplitude by Carmen DeCouto 12 min read
Open amplitude.com →How activation and onboarding reads from a different seat.
The same ground, over in Grow & market, our Starting Up track.
