Phi

Series A to Pre-IPO

The GTM that got you herewill not get you there.

You have product-market fit. You have revenue. What you do not have is a system that scales past what founder-led sales and a small team can carry.

The scaling wall

You know the wall when you hit it.

  1. 01Hired 2-3 reps. One is okay. Two are not working out.
  2. 02The CEO is still the best closer on the team.
  3. 03Pipeline is inconsistent. Good months and bad months with no pattern.
  4. 04CRM exists but nobody trusts the data in it.
  5. 05The board is asking for predictable revenue. You are showing them a spreadsheet.

This is an infrastructure problem. Not a hiring problem.

How we rebuild the GTM

Four phases.Signal before we touch anything, then a system that compounds.

Week 1-2

Audit

What is converting. What is not. Where handoffs break. Where data stops. Two weeks of signal before we touch anything.

Week 2-3

Redesign

ICP re-segmented on what is actually closing. Playbooks rebuilt. CRM cleaned. Attribution configured.

Week 3-6

Scale

SDRs and AEs embedded with a playbook, QA layer, daily huddles, and daily conversion tracking.

Month 2+

Compound

System runs. QA catches patterns. Pipeline becomes predictable. Good quarters are not luck.

Why scaling fails

What companies try, and what actually works.

What companies tryWhat actually works
VP Sales at 200K+. 9 months to know if it worked.Audit in 2 weeks. System rebuilt in 2 more. Pod producing in month 2.
More reps without a playbook. Activity up. Conversion flat.Build the system first. Scale people into it.
Six tools. Zero integration. No attribution.One team. One system. Full attribution from day one.
Agency with shared reps. Monthly reports. No ownership.Dedicated pod. Daily QA. Conversion tracked daily.

The culture difference

  • We do not count dials. We count conversions.
  • We do not do weekly check-ins. We do daily huddles.
  • We do not send monthly reports. We update dashboards in real time.
  • We do not hope reps improve. We QA every call and fix it the same day.

Sales culture hardened in the most regulated markets.

What you get

This is your dashboard at scale.

Multiple reps. Multiple segments. One dashboard. Updated daily. Not a monthly business review.

Where does pipeline narrow across the team?

If connection rate is strong but meeting rate drops, the problem is the conversation. We catch that on day two.

Calls Made
4,200
Conversations
168
Meetings Set
24
Demos Run
18
Proposals
11
Closed Won
6

What is QA catching?

Show rate below target. QA identified reps not sending confirmation sequences. Fixed same day.

QA scorecard
MetricTargetActualStatus
Connection Rate4%+3.7%
Meeting Rate3%+3.6%
Show Rate80%+75%
Demo to Proposal60%+61%
Close Rate15%+18%
QA Call Score7/10+7.4

Which rep is converting and which needs coaching?

Rep 3 is at 78% pace. QA flagged discovery depth issues. Coaching deployed today, not next quarter.

Rep performance
RepConnectsEmailsCallsConnect RateDemosPaceStatus
SDR 1423801,2403.4%8132%
SDR 2554201,1804.7%9148%
SDR 3283509802.9%478%
Team Total1251,1503,4003.7%21119%

Three reps. Three performance profiles. One system catching every gap daily.

A day in the life of a Phi pod

This is not what we aspire to.This is what happens. Every day. In every pod.

  1. 7:30 AM

    Daily Huddle

    Conversion data reviewed. Adjustments made before the first call.

  2. 8:00-12:00

    SDR Outbound

    150+ calls. Targeted outreach against validated ICP with tested playbook.

  3. 12:00 PM

    Warm Transfers

    2-3 qualified conversations handed to AEs. Pipeline pre-qualified.

  4. 1:00-5:00

    AE Closing

    Demos. Proposals. Follow-ups. Pipeline updated in real time.

  5. 5:00 PM

    QA Review

    Calls audited. Patterns flagged. Messaging adjusted for tomorrow.

  6. End of Day

    Dashboard Updated

    Pipeline value. Conversion by stage. Sequence performance. Everything visible.

The system that gets you from $2M to $20M.

Not more reps. Not more tools. A system that makes every rep effective, every deal trackable, and every quarter predictable.