Industry

B2B lead generation for AI and data startups

The category is loud. Every buyer has heard ten AI pitches this month and stopped reading them. The winning angle is the workflow, not the model. We open with the specific task your product removes and the team that owns it, which cuts through category fatigue immediately.

Discuss your outbound plan →See LeadFlow pricing
Typical sales cycle
21–90 days
Deal size we see
$10k–80k ACV
Meetings booked overall
1,000+

Why outbound works for AI and data startups

The winning angle is the workflow, not the model. We open with the specific task your product removes and the team that owns it, which cuts through category fatigue immediately.

The problem we usually walk into

The category is loud. Every buyer has heard ten AI pitches this month and stopped reading them.

Triggers we build campaigns around

For this sector the highest-converting openers reference AI and data hiring, funding rounds, new data-platform tooling, leadership hires in ops or RevOps. Each becomes a data field, and each field becomes a first line that could only have been written for that one account.

Who we target

  • Head of Operations
  • VP Engineering
  • Head of Data
  • COO
  • Founder

How the campaign runs

  1. 01

    Segment

    Accounts matching your best ai startups customers, scored by fit.

  2. 02

    Signal

    Timing layer built from AI and data hiring and related events.

  3. 03

    Sequence

    LinkedIn plus email touches written per persona in the buying committee.

  4. 04

    Book

    Live reply handling, qualification and calendar booking with confirmations.

Tools for this workflow

Questions and answers

How do you avoid sounding like every AI pitch?
Copy names a task, a team and a measurable outcome instead of the technology.
Can you test three ICPs quickly?
Yes, parallel segments with separate tracking is the default for early-stage clients.

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