Lusha can supply contact and company information. Strawberry can put it in the context of an actual target account, your qualification rules, and the research already open in your browser, so a list becomes a considered sales decision rather than a download.
01
Search for people inside a real account thesis.
A broad contact search can look productive while producing people who have no reason to care.
Strawberry can use Lusha people search alongside the account and product context you provide, then explain the case for each candidate.
02
Enrich the record, then question the match.
Person enrichment can supply useful data, but it should not overwrite judgment about whether someone is the right contact. Strawberry can prepare a compact review that keeps the enrichment output and your qualification logic in the same place.
03
Spend enrichment credits with a stated purpose.
Lusha exposes a credit balance as well as bulk enrichment.
Strawberry can check the available credits, identify the minimum viable research batch, and prevent a large speculative pull from becoming the default.
04
Repeat the standard, not the volume.
Turn a proven account-research rubric into a Lusha skill and have a routine build the next review queue at a sensible cadence. The routine should surface candidates for judgment, not automatically start outreach.
Lusha Strawberry