Tell Nice Pigeon who you want to reach. It finds prospects, researches each website, writes and checks the emails, sends across your domains, and surfaces the replies your team should close.
Most tools meter contacts, split sourcing from sending, and force teams to babysit workflows. Nice Pigeon keeps the whole loop in one place so founders and sales teams can focus on replies.
Scraping, intent, and tech filters create contacts directly inside the campaign.
A writer creates each email from evidence. A validator catches weak copy before it sends.
Domains, mailboxes, caps, rotation, and deliverability are first-class controls.
Sent emails, contact evidence, classifications, and next actions stay attached to the conversation.
Nice Pigeon is one continuous loop. Leads do not get tossed between tools. Every step updates the same campaign, contact, and reply history.
Scrape, pull intent, and filter by tech stack, country, language, niche, or custom ICP.
Read the live website and attach evidence, offer, CMS, email, domain quality, and signals.
Generate a message from the prospect evidence, your offer, and the campaign voice.
A validator checks quality, relevance, risk, length, and whether a human must review.
Rotate across mailboxes and domains with caps, follow-ups, stop rules, and suppression.
Replies, bounces, validator notes, and campaign results improve the next run.
Nice Pigeon turns research, drafting, QA, sending, and reply triage into one loop. Humans stay in charge of approvals, targeting, and the conversations that matter.
Build lead lists from a plain-language ICP, live websites, intent signals, or tech stack filters.
Attach website evidence, CMS, offer, language, email quality, and the reason the contact fits.
Each email is drafted from the prospect's own context instead of a generic personalization token.
Weak copy, missing evidence, risky claims, and review-needed emails get caught before scale.
Sequences stop when someone answers, and hot replies keep the sent emails in context.
Structured campaigns, queues, drafts, and replies make it possible for your AI assistant to inspect and act.
The point is not just better copy. The point is a system that keeps scaling once the campaign starts working.
Store the contacts you need and scale sending by infrastructure, not by arbitrary list caps.
When a campaign starts working, add domain capacity instead of rebuilding.
The system respects caps, pauses risky paths, and keeps follow-ups from colliding with replies.
More sends create more reply data, validator feedback, and campaign evidence for the next run.
Legacy outbound was built for teams stitching tools together. Nice Pigeon runs the pipeline in one place, with humans approving the work that matters.
Source prospects, enrich them, write and validate emails, send safely, learn from replies, and add domains when a campaign works.