8plays led
21plays they also work on
14systems in the stack
2/4practices they lead plays in
The systems in the plays Eduardo leads, in the order data moves through them. Lime marks the ones that come up most; the number is how many open roles ask for each.
SlackFrom LeanScale's case studies. Play leads are whoever has spent the most delivery time on that kind of work.
+1
7 steps
A repeatable list-import pipeline: normalize, domain-match, waterfall the email, then hand it over
A pipeline a new hire can run
Enrichment engine setup
5 steps
A reusable enrichment table for event leads, and contact data on a re-verification schedule
Enrichment table live and confirmed by the customer
CRM implementation
6 steps
Building a first real sales system for an AI company selling into enterprise
Three GTM pipelines live
Data hygiene and dedupe
7 steps
Deduplicating a ~250k-record CRM and rebuilding the market map with an enrichment engine
~3.4k duplicate company records and ~2.4k duplicate contact records merged
Data hygiene and dedupe
+3
7 steps
Draining a daily data-quality dashboard by fixing what was creating the exceptions
All four exception reports moved from hand-fixed to automated
CRM migration and merge
7 steps
Planning an exit from a long-tenured marketing automation platform without freezing marketing
Migration scoped with audits delivered
Warm signals and PQLs
7 steps
Sizing the expansion opportunity, then backtesting the signal that was supposed to find it
Seven prioritised segments, sized three ways
Data hygiene and dedupe
6 steps
Validating a full contact base, repairing orphaned records, and handing the system back documented
Full contact base validated
