Mechanism 12

Analytics & Growth Modelling

You can't scale what you can't see. We model the unit economics of your pipeline (cost per appointment, cost to sell, LTV/CAC, cash-on-cash return) and put them on a dashboard you review weekly, so spend follows what's working and nothing scales until the math says it should.

How it works
  1. Model the economics first. We map gross contribution per customer against sales-cycle length to find the path of least resistance to revenue, and which channels are actually worth scaling.
  2. Instrument the funnel. We source-tag every lead, so you know your true cost per appointment and cost to sell by channel, by rep, and by campaign, not a blended guess.
  3. Set the bar before scaling. We don't pour fuel on a channel until LTV/CAC clears the line (we target >10 for offers built to scale) and cash-on-cash is positive.
  4. Run a weekly review cadence. Numbers reviewed every week, so spend stays honest and the machine stays profitable as volume climbs.
  5. Reallocate ruthlessly. We cut what loses and compound what returns. That's the whole point of seeing the numbers clearly.
What you get
  1. A unit-economics model for your pipeline and offer.
  2. Source-tagged attribution across every channel.
  3. A weekly KPI dashboard the whole team reads the same way.
  4. A scale / kill framework that takes the emotion out of spend.
Case in action
Caesar Health — attribution that proved a $0-budget engine

Source-tagging proved Caesar Health's pipeline was real: of ~2,300 tagged leads, only 35 came from ads (98.5% non-paid) behind a ~$640K ARR pipeline. See where revenue comes from, compound what works.

98.5%
of leads provably non-paid
~$640K
ARR pipeline tracked end-to-end
$0
effective ad budget
Read the Caesar Health case →
Where it fits

Modelling is the discipline that keeps the whole engine honest as it scales. The Pace in Position → Pipeline → Pace.

Deliverables
Unit-economics model
Source-tagged attribution
Weekly KPI dashboard
Cost-per-appointment tracking
Scale / kill framework
We don't scale a channel until LTV/CAC and cash-on-cash say it's safe — then we compound it.
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