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Software with a large free base, 50 to 150 people

An enterprise business inside a self-serve one

A large free base, and a new enterprise team. Somebody has to find the accounts worth selling.

An example drawn from companies at this stage, not a client story.

The situation

One enterprise seller cannot mine a small-business base and carry a quota. The best accounts already use the product.

You might recognize it

  • Low public pricing and a large self-serve base.
  • One or two enterprise sellers, with nobody feeding them pipeline.
  • A new AI product with no named customer yet.

The number to watch

Enterprise revenue as a share of the total

Reach is proven. The next question is the enterprise slice.

How we would run it, end to end

01Strategy

Where to play and how to win

  • Which free accounts look like enterprise buyers
  • An enterprise offer that leaves self-serve intact
  • The story for the new AI product, with proof

02Design

The operating system behind the number

  • Expansion signals from usage, scored and routed to sales
  • Ownership rules between self-serve and sales
  • An enterprise process with security and procurement stages

03Execution

Run it, measure it, keep what works

  • Account research and outreach into the existing base
  • The first enterprise case studies, built with customers
  • Security answers ready before the questionnaire arrives
  • The Monday brief: enterprise pipeline and expansion by account

The first 90 days

  1. Weeks 1 to 2

    Usage data read. The accounts worth selling to, ranked.

  2. Weeks 3 to 6

    Scoring, routing and ownership rules live. Plans for the top 50 accounts.

  3. Weeks 7 to 12

    Outreach and case studies running. Enterprise share reported weekly.

What Monday looks like

SampleMonday briefWeek 8

The number: Enterprise revenue as a share of the total

What moved

  • 14 free accounts crossed 200 active users. All 14 routed to the enterprise team.
  • Two security reviews opened. Standard answers covered most questions.

This week

Draft the first AI case study with a logistics customer.

An example. Every number in it is illustrative.

Sound familiar? Tell us what's stuck and we'll bring what we found.