Personalize each email before it sends.
The same email gets more replies when it's clearly about the person reading it. You bring your base message and a permissioned list; for each recipient it resolves who they are, pulls a little real context, and rewrites your copy to genuinely fit them — so the first line earns the second. You get back a send-ready variant for your own ESP to send. Built for warm, opted-in, and lifecycle email — not cold spray. Billed per email, only when there's real context to use. No subscription, no seat license.
A pipeline, not an endpoint. Every step is its own paid call.
Each recipient runs through several independent APIs, each billed per call. You pay per personalized email; the pipeline pays each source as it goes. It returns copy — it never sends mail or sources a list for you.
Resolve the recipient
From the email on your list: name, role, and company via the contacts/LinkedIn enrichment endpoints. Confirms there's a real person to personalize for.
Gather relevant context
A few signals worth referencing — company, role, and recent public activity — via firmographic enrichment and web/news lookup. Just enough to be relevant, not creepy.
Rewrite your copy
A model adapts your base message to that recipient — a tailored opening line or angle that fits their context — via the model-access endpoint. Your voice, their relevance.
Return send-ready copy
Hand back a personalized variant per recipient for your own ESP to send. Skips recipients where context comes back too thin, so you never ship an awkward fake-personal line.
For senders who'd rather be relevant than just be louder.
One pipeline, many warm contexts. You bring the list and the message; it makes each send fit the person.
Onboarding that speaks to each account.
Personalize activation, onboarding, and lifecycle emails to the recipient's company and role, so a signup nudge reflects what they actually do — instead of the same template for every new user. Relevant nudges get acted on; generic ones get ignored.
Make replies and intros land.
When someone opts in, replies, or gets a warm intro, tailor your follow-up to their context so it reads like you did your homework — because the pipeline did. Homework-grade follow-ups turn more replies into real conversations. For warm pipelines, not cold lists.
A relevant first line per subscriber.
Open each issue or broadcast with a line that fits the reader's interest or industry, lifting open and reply rates without writing a thousand versions by hand.
Personalization as a tool call before send.
Give your agent a recipient and a base message; it resolves, gathers context, rewrites, and returns send-ready copy — no human managing enrichment and copy tools across the loop.
Bring your message. Make it fit each person.
See what a relevant version of your own email looks like: send us a base email and a recipient, get a personalized, send-ready variant back. You only pay per email when there's real context to use — so you only pay when it can actually lift the reply. No subscription, no seats — and your ESP still does the sending.
- Pipeline of pay-per-call APIs
- Per-recipient copy, not merge tags
- Consent-first · returns text, doesn't send
- Agent-ready
The honest answers.
Straight answers, including what this pipeline deliberately won't do.
Is this for cold email / spam?
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No — it's built for warm, opted-in, and lifecycle email, and we frame it that way on purpose. You bring a permissioned list and your own base copy; the pipeline returns personalized text and never sends mail or sources a list for you. Use it where relevance is welcome, and stay within CAN-SPAM/GDPR and your ESP's rules. It's a relevance tool, not a volume tool.
Will it actually improve my reply / conversion rate?
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That's the whole point of it. Relevance is what gets an email opened and answered — a first line that's plainly about the reader beats the same template sent to everyone. We won't promise a magic number: results depend on your list, your offer, and your timing, and personalization makes a good email land better — it can't rescue the wrong offer. It earns its keep on warm and lifecycle sends, where the reader already has a reason to care. And because thin-context recipients are skipped, you're not paying for lines that would read as fake-personal.
How is this different from the Pre-Call Brief pipeline?
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Same data layer, different output and volume. Pre-Call Brief produces one human-readable briefing for a person you're about to meet. This produces send-ready email copy, per recipient, across a list. One is for prepping a conversation; the other is for making a send land.
How is it different from a lead-enrichment or mail-merge tool?
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Merge tags drop {firstName} into one fixed template. Enrichment APIs hand back raw fields. This composes enrichment plus context plus a model that actually rewrites your copy to fit the recipient — a 1:1 variant, not the same email with a name swapped in.
What does one personalized email cost?
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Roughly ten cents per email, billed only when the pipeline finds usable context. You pay per email, with no subscription and no seat license. Recipients with too little context are skipped rather than shipped with an awkward line.
Does it send the email?
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No. It returns personalized copy; your own ESP or sending tool does the actual sending. That keeps deliverability, suppression lists, and compliance in your existing, trusted stack.
Can my AI agent run it?
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Yes. It's built for AI agents and pays automatically per email, so an agent can resolve, gather context, rewrite, and return variants end to end — without a human juggling enrichment and copy tools or managing accounts.