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How to evaluate a GTM engineering partner

Apero Advisors, a GTM engineering and revenue operations partner for PE- and VC-backed companies, wrote this scorecard. Seven criteria, weighted to 100. Score what a partner can show you, not what they say in the pitch.

Why a scorecard

Most partners look the same in a pitch. Everyone has a demo, a stack slide, and a logo wall.

The differences show up later. Who owns the system when the engagement ends. Whether the list was ever a real market. Whether your domain still lands in the inbox once volume goes up.

This scorecard puts weight on those things, and it only counts evidence you can inspect.

How to use it

Run the same sheet against every option, including hiring in-house. Score each criterion from 1 to 5. Write down what you saw.

The rule that matters most: a demo or a claim scores 2 at most. If you cannot inspect it, it does not count yet.

The seven criteria

GTM engineering partner scorecard

Score one partner at a time. Use the evidence you saw, not the pitch.

Score what you can inspect. A demo, a deck, or a claim with nothing behind it scores 2 at most. Anything a partner does not address scores 1.

  1. 1 Absent
  2. 2 Claimed
  3. 3 Partial
  4. 4 Inspected
  5. 5 Verified

0 of 7 criteria scored

  1. 01 / Weight 20

    Commercial outcome, tied to the P&L

    Can the partner explain how the work changes pipeline, rep time, or cost per qualified conversation in your business?

    They talk in your economics before they talk about tools. Pipeline math built from your opportunity size, close rate, and conversion steps. Sales payroll treated as a P&L line that should get more leverage. A clear view of what they will not do because it will not move the number.

    Score this criterion
    1
    No link between the work and revenue or cost.
    3
    Talks in pipeline terms, but the math is generic and not built from your inputs.
    5
    Built the math from your numbers, and references confirm past results.
    Evidence and red flags

    Evidence you saw

    • Pipeline math from a past engagement, with the inputs shown.
    • A case study that reports a commercial result, and who can confirm it.
    • How they would size the opportunity in your business, using your numbers.

    Red flags

    • Success is defined as activity: emails sent, tables built, agents deployed.
    • They cannot name the commercial result of any past engagement.
    • The proposal promises results by a date.

  2. 02 / Weight 15

    Systems and code you keep

    When the engagement ends, what do you own, and could your team run it without the partner?

    A named internal owner, documentation, and a transfer plan before you ask. Code in a repo you control. CRM, TAM table, list logic, domains, dialer configuration, credentials, and runbooks all accounted for. Training for the people who will run it.

    Score this criterion
    1
    Ownership is vague or stays with the partner.
    3
    Ownership is clear for some assets, not all. Documentation is thin.
    5
    Named owner, full asset list, documentation, and a reference who runs it today.
    Evidence and red flags

    Evidence you saw

    • A handoff document or runbook from a past engagement.
    • A list of what the client owns at the end: repos, workspaces, domains, credentials.
    • A reference who ran the system after the partner stepped back.

    Red flags

    • They cannot explain what you own when the engagement ends.
    • The work lives only in the partner's accounts or a workflow UI nobody else can read.
    • Every answer leads back to an open-ended retainer.

  3. 03 / Weight 15

    A TAM-first data layer

    How does the partner get from 'we sell to healthcare' to an approved list of accounts your CEO will accept?

    One deduplicated account universe before any channel runs. Segments, buying roles, exclusions, and tiers a CEO can say yes or no to in one meeting. Fit rules written down. Emails verified, and a plan to refresh data as it degrades.

    Score this criterion
    1
    No market mapping. Lists come straight from a database.
    3
    Some scoring and dedupe, but no approved market or exclusions.
    5
    An inspected TAM with tiers, fit reasons, exclusions, and a refresh plan.
    Evidence and red flags

    Evidence you saw

    • A sample TAM table with fit reasons, tiers, and exclusions.
    • Their written fit rules or ICP definition from a past engagement.
    • How they verify emails and how often they refresh.

    Red flags

    • They open with a Clay table or a campaign before the market is mapped.
    • They want to launch ten campaigns before they can name the ten markets.
    • The list is a database export with a vertical filter.

  4. 04 / Weight 15

    Deliverability infrastructure, email and phone

    Where will your calls and emails come from, and how will the partner protect your domain and numbers?

    Sending off the primary domain. Authentication, blacklist checks, and placement tests before volume goes up. Segmentation by email security gateway. Suppression of current customers. For calling: telco reputation, number rotation, and explicit shutoffs. They know what to inspect before adding volume and what to do when reputation degrades.

    Score this criterion
    1
    No deliverability plan, or sends from your primary domain.
    3
    Email infrastructure is sound, but phone reputation or monitoring is missing.
    5
    Inspected email and phone infrastructure, with monitoring and a remediation story.
    Evidence and red flags

    Evidence you saw

    • Their sending setup: domains, inboxes, sequencer, and placement tooling.
    • A placement or authentication report from a live program.
    • What they did the last time reputation dropped.

    Red flags

    • 'We can connect Clay to a sender' is the whole answer.
    • Email goes out from your main domain.
    • Deliverability is treated as an implementation detail.

  5. 05 / Weight 15

    Measurement

    How will you know, every week, whether the work is producing meetings and pipeline?

    Activity, meetings, and deals on the same records so a win can be traced back to the first touch. Connect and meeting rates leadership can see. Board reporting and forecasting generated from live records, not rebuilt in a spreadsheet. A recurring review where the numbers get read.

    Score this criterion
    1
    No measurement beyond activity counts.
    3
    Meetings and pipeline are tracked, but attribution or cadence is missing.
    5
    Inspected reporting from live records, with attribution and a weekly review.
    Evidence and red flags

    Evidence you saw

    • A sample weekly report or board pack built from CRM data.
    • How they attribute a closed deal to the channel that started it.
    • The cadence and format of their review with you.

    Red flags

    • Reporting is a dashboard of sends and opens.
    • Meetings are counted but never tied to pipeline.
    • The numbers live in the partner's tool, not your CRM.

  6. 06 / Weight 10

    Diagnosis before prescription

    Did the partner learn your business before recommending anything?

    Questions about economics, sales cycle, buyer map, team structure, data quality, and what is already in the CRM. A written plan for what gets fixed first, what stops, and who owns it. A willingness to say the loudest AI ask is not the first project.

    Score this criterion
    1
    Prescribed a solution before asking about the business.
    3
    Asked good questions, but the plan does not reflect the answers.
    5
    A written diagnosis that clearly came from your context.
    Evidence and red flags

    Evidence you saw

    • A written diagnosis or plan from a past engagement.
    • The questions they asked you before proposing.

    Red flags

    • They open with agents, LinkedIn automation, or a Clay table.
    • The proposal looks the same as the one they sent the last client.

  7. 07 / Weight 10

    AI write governance

    When an agent writes to your CRM or sends on your behalf, what stops it from doing damage?

    Agent access mirrors the permissions of the person it acts for. Previews and human approval before batch writes. A rollback path before write access is granted. Drafts that stop for a human instead of auto-sending. Kill switches and audit records.

    Score this criterion
    1
    No controls on what agents can write or send.
    3
    Some approval steps, but no rollback or permission scoping.
    5
    Scoped permissions, approvals, rollback, and audit records you inspected.
    Evidence and red flags

    Evidence you saw

    • How agent permissions are scoped in a past build.
    • Their approval and rollback flow for bulk CRM writes.
    • A reply playbook or never-list from a live campaign.

    Red flags

    • Agents get admin keys by default.
    • Replies auto-send with no human in the loop.
    • No answer for how a bad write gets undone.

Result

Score every criterion, or mark it 'No evidence', to see a result.

Apero Advisors wrote this scorecard. Score us with the same rule as anyone else.

How the score works

Total = sum of (weight x score) / 5. All 1s gives 20. All 5s gives 100.

  • 85 to 100: Strong. The partner showed real evidence across the criteria that matter most.
  • 70 to 84: Credible, verify the gaps. Solid in most places, with one or two criteria resting on claims.
  • 50 to 69: Risky. Too much of the score rests on demos and claims.
  • 20 to 49: Do not proceed. The evidence does not support the engagement.
  • Systems and code you keep is scored 1. Do not proceed. You would be renting a system you cannot run.
  • Any criterion weighted 15 or more is scored 1. The result can be no better than "Risky", and a total below 50 stays "Do not proceed". If the criterion scored 1 is "Systems and code you keep", the "Do not proceed" result applies instead.

Who wrote this

Apero Advisors wrote this. Apero is a GTM engineering and revenue operations partner for PE- and VC-backed companies, so the criteria lean toward what we think matters: a commercial outcome, systems you keep, a TAM-first data layer, deliverability, and measurement.

Score us with the same rule. Ask us for the artifacts.

FAQ

What should you look for in a GTM engineering partner?

A commercial outcome tied to the P&L (weight 20), systems and code you keep (15), a TAM-first data layer (15), deliverability infrastructure for email and phone (15), real measurement (15), diagnosis before prescription (10), and controls on what AI can write or send (10). Weights total 100.

How do you score a GTM engineering partner without relying on demos?

Score only what you can inspect. A demo or an unsupported claim scores 2 at most out of 5. Inspected artifacts from comparable work score 4, and artifacts confirmed by a reference score 5.

What is an automatic disqualifier in a GTM engineering partner scorecard?

In Apero Advisors' GTM engineering partner scorecard, a score of 1 on "Systems and code you keep" means do not proceed, because the buyer would be renting a system it cannot run. A score of 1 on any criterion weighted 15 or more (commercial outcome, systems and code you keep, TAM-first data layer, deliverability, or measurement) means the result can be no better than "Risky", and a total below 50 stays "Do not proceed".

Can I use this scorecard to evaluate an in-house hire?

Yes. The same criteria apply to a GTM engineer you hire. Score the candidate on what they can show from past work.

More questions

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