Key points
  • AI can research, write and sort at scale; people still decide who to target and close the deal.
  • Personalisation that references the prospect's real situation beats volume.
  • Follow anti-spam and personal data rules, including opt-out handling.

Business-to-business sales teams spend a large share of their time on research and admin: finding companies, finding contacts, writing first emails, chasing replies. AI can take most of that work, leaving salespeople to do what they are paid for: conversations.

Where AI helps

  • List building: finding companies that match your ideal customer profile from public information.
  • Research: summarising each prospect's business, recent news and likely needs.
  • Personalised first messages: drafting outreach that refers to the prospect's real situation.
  • Reply handling: sorting replies into interested, not now, wrong person and unsubscribe, and drafting the next step.
  • Scheduling: proposing meeting times and sending calendar invitations.

Keep quality high

Send fewer, better messages. A short, relevant email to the right person outperforms a large generic campaign, and protects your domain's reputation with email providers.

Respect the rules

In Hong Kong, the Unsolicited Electronic Messages Ordinance covers commercial electronic messages, and the Personal Data (Privacy) Ordinance governs the use of personal data in direct marketing. Taiwan's Personal Data Protection Act applies in Taiwan. Use publicly listed business contact channels where possible, identify yourself clearly, and act on every opt-out request immediately. Take legal advice for larger campaigns.

Measure what matters

Track reply rate, meeting rate and pipeline created, not emails sent.

Want this working in your company?

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