Research library
Methods for ICP design, firmographic filtering, contact enrichment, provenance, and human review.
I've run 30+ rush outbound sprints. Here's a side-by-side look at okki-go vs manual prospecting across setup time, data quality, actual reply rates, and the cases where okki-go is the wrong call.
Read research noteA quality and brand compliance manager walks through how a routine okki-go npm package update silently broke our email verification gate, cost us 187 hard bounces across a live outreach sequence, and led to a pre-launch checklist we now refuse to skip.
Read research noteA quality-focused FAQ on cold email automation, Okki Go features, Okki Go workflow for SDR teams, email automation, and when B2B sales teams should use a LinkedIn tool.
Read research noteStraight answers from okkigo's quality manager on what agent-native prospecting actually looks like, how website intent data fits into the workflow, and what belongs in okki-go documentation.
Read research noteA GTM engineer's post-mortem on lead enrichment vendor mistakes: why cost-per-usable-record beats cost-per-record, what to actually test in a pilot, and when the cheapest option is the right call.
Read research noteAn office administrator's procurement playbook for evaluating AI email writer features across three team scenarios—founder-led sales, growing SDR teams, and agencies doing high-volume prospecting. Includes questions to ask vendors, delivery-rate red flags, and a decision rule for picking the right tier.
Read research noteLead generation software shouldn't be the first step in an agent-native prospecting workflow. Here's why okki-go email verification belongs before enrichment, how okki go workflow for SDR teams actually works, and who shouldn't buy it.
Read research noteA procurement manager walks through six years of buying contact databases, why 'lowest unit price' never survives contact with reality, how OKKI Go and Hunter actually compare in a real evaluation, and what a sales trigger is—plus when a B2B sales team should actually use one.
Read research noteChoose where credible demand evidence may appear, define what would disconfirm the idea, and scale only after the motion can be interpreted.
Read research noteDisclose the research purpose, minimize burden, explain data use, and give recipients an easy choice.
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