HK DATACREST

Outreach automation

Outbound that is researched, reviewed and followed up.

Account research, first emails drafted for a person to approve, sending from your own domain, and replies, bounces and unsubscribes tracked for you. Built on the outreach system we use ourselves.

The problem

Volume without research gets ignored. Research without a system doesn't scale.

Good outbound takes research: the right accounts, the right person, and something worth saying. That takes hours per prospect, so teams either send too few emails or send generic ones. Then replies, bounces and unsubscribes get tracked by hand, and follow-ups slip.

What we do

What it does, working as one system.

  1. 01

    Account research

    Target accounts and contacts organised in one place, with the notes behind each one.

  2. 02

    Drafts in a review queue

    First emails drafted with AI from that research, waiting for a person to approve them.

  3. 03

    Sending done properly

    From your own domain through Amazon SES, with unsubscribe and bounce handling built in.

  4. 04

    Reply tracking

    Opens, replies, bounces and unsubscribes captured automatically, so follow-ups go to the right people.

Outreach review queue: researched accounts with their stage, a drafted first email waiting for approval with research notes, and sent and reply counts for the last 30 days.

How it works

From your data to a working system.

  1. Define the accounts

    Who you sell to, and the research that matters for each.

  2. Set up sending

    Your domain, authentication and suppression lists, configured properly.

  3. Draft and approve

    Drafts land in the review queue; your team approves, edits or skips.

  4. Track and follow up

    Replies and bounces update each contact automatically.

What changes

What you get from it.

  • Every email worth sending. Researched, specific and approved.
  • Follow-ups that happen. The system knows who replied and who didn't.
  • A clean sending reputation. Bounces and unsubscribes handled the day they arrive.
  • One place for the pipeline. Accounts, notes and conversations together.

How we engage

Start small. Decide with evidence.

  1. Step 1 · Pilot

    Prove it on your data

    One campaign to a defined list of accounts, set up on your domain, with your team approving every draft.

    Fixed scope · fixed price · agreed before work starts

  2. Step 2 · Build

    Roll it out

    If the pilot earns it, we build the full system, connect the rest of your data and bring your team onto it.

    Only if the pilot earns it

  3. Step 3 · Run

    Run it, or own it

    We keep it running and improving, or hand it over with the code, the documentation and a runbook.

    Your code · your data · your cloud account

Questions

What people ask before a first call.

Is a person involved before emails go out?

Yes. It is built around a review queue: drafts wait for a person to approve them before they go out.

Do we have to use your system?

No. We can set up the system we use ourselves, or build the same pieces into the tools you already use.

Often paired with

Answer questions from your own documents

Support, internal knowledge and lead qualification, answering from your own documents.

Support · sales · operations

Spend less and run better on AWS

Setup, migration, cost reviews and serverless pipelines across the full range of AWS services.

Cloud setup · cost · pipelines

Start with a conversation

Tell us what's slowing your operation down.

A 30-minute call with the people who would build it. You leave knowing whether a pilot makes sense, and what it would cover.