Macroflux / scale plan
90-day plan to turn test clients into a path toward $100k
This plan assumes you already have 1–2 early clients willing to test. The goal is not “build a huge agency.” The goal is to get 1 flagship offer working, prove ROI fast, systemize delivery, then layer outbound and referrals on top.
Flagship offer: custom AI employee team
Expansion: operations AI employee
Expansion: SEO / content AI employee
Delivery model: bespoke AI team + retained support
North star
$100k
Not from random one-offs — from a stack of setup fees + monthly retainers.
Best path
3–5 clients
At $5k–$15k setup plus $2k–$6k monthly retainers, depending on complexity.
Priority
Proof first
Get measurable wins on the first 1–2 clients before trying to spray outreach everywhere.
What Macroflux should sell first
Primary offer
Custom AI employee team: intake, instant response, qualification, follow-up, booking, operations routing, and operator reporting.
- Easy to explain
- Tied directly to revenue
- Fastest path to case studies
- Natural upsell into operations automation
Do not lead with
generic “AI automation” as the main pitch. Lead with the specific AI employee team and the work it takes off the client’s plate.
- Lead with a painful workflow
- Show the money leak
- Show the system
- Show expected ROI window
Target revenue model
Offer
Setup
Monthly
Target mix
AI sales employee / booking system
$5k–$12k
$2k–$4k
First 2–3 clients
Operations AI employee / workflow routing
$8k–$20k
$3k–$6k
Upsell after proof
SEO / content AI employee
$3k–$8k
$1.5k–$4k
Growth add-on
Back-office / admin support AI employee
$4k–$10k
$1.5k–$4k
Selectively sold
90-day execution timeline
Days 1–14
Proof and packaging
- Pick one flagship team only: sales follow-up, qualification, booking, and operator reporting as the first AI employee set
- Instrument the first 1–2 test clients so you can show response-time lift, lead recovery, meetings booked, and manual hours saved
- Create one tight offer page, one short Loom/demo, one ROI calculator, and one onboarding checklist
- Turn the site into one clear promise: “hire an AI team built around your workflow,” not vague AI language
Days 15–30
Case study and outbound foundation
- Extract 2 mini case studies from the test clients, even if small
- Create outreach around 3 verticals only: agencies, high-touch service businesses, and real-estate operators
- Launch founder-led outbound: 20–30 highly targeted reaches per weekday
- Use the 5 ad angles as creative hooks for DMs, email intros, and short paid tests
Days 31–60
Close 2–3 paid implementations
- Sell setup + retainer, not just a one-time build
- Standardize onboarding, KPI dashboard, review cadence, and weekly reporting
- Add the first upsell only after the core offer is working
- Raise pricing once the first 2–3 paid installs are live
Days 61–90
Systemize delivery and scale distribution
- Document delivery into repeatable templates, prompts, onboarding forms, QA lists, and agent configs
- Spin referral asks out of early wins
- Layer one additional acquisition channel: paid ads, partner referrals, or founder content
- Target a book of business that looks like 3–5 retained clients instead of 20 low-quality projects
Simple scorecard to track weekly
Pipeline
- Outbound sent
- Replies
- Calls booked
- Proposals out
Delivery
- Time to launch
- Meetings booked
- Hours saved
- Client retention risk
Money
- Setup revenue closed
- MRR added
- Cash collected
- Expected 90-day revenue
Reality check on $100k
The cleanest route is not 100 tiny projects. It is something closer to:
- 2 clients at $8k setup + $3k/mo
- 2 clients at $12k setup + $4k/mo
- 1 higher-end client at $15k–$20k setup + $5k+/mo
That gets you into a real revenue zone quickly, especially if your test clients convert into proof and referrals.
Big mistake to avoid: overbuilding the brand/site/stack before the offer has reliable proof.