Video summary

He's Working On The Wrong Things At $200K/Mo, So I Fixed It

Main summary

Key takeaways

Business

Business breakdown summary (strategy + execution)

Current state (Viral App Launch)

  • Business model: Tech-startup growth program with investor access.

    • Done-for-you (DFY): “10,000 users” + 20 investor introductions in 6 months (qualified clients only).
    • Done-with-you (DWY): More hands-on/coaching + ad management.
    • DIY courses: Mostly not pushed yet (downsell/low focus).

  • Revenue & profitability

    • Revenue: ~$200k/month (prior peak $267k a few months earlier)
    • Netting out / take-rate: ~$60k/month (~30% margin)

  • Client base

    • ~370 total lifetime app launches/clients
    • ~80 active clients
    • ~45 on DWY; remaining on DFY

  • Pricing / AOV (front-end cash)

    • DFY AOV: ~$20k cash collected per deal (noted as 3-month “PIFF” structure; specifics imply setup + bundled value)
    • DWY AOV & retention economics:
      • ~$6k front-end (setup fee) for DWY
      • ~$2k/month maintenance/continuity after the first month
    • Revenue mix: ~50% DFY, ~50% DWY

  • Operating context

    • Business has been in market for ~3.5 years (Jan/Mar 2023 launch)
    • Growth has been sideways ~3 months, with slowdown after a revenue peak
    • Team growth: >25 people; strong operations/SOP investment

What’s limiting growth (diagnosed issues)

  1. “Scaling trough” / premature contraction after a temporary dip

    • They reduced ad spend because early scaling attempts showed ROAS deterioration.
    • Result: they didn’t expose the true ROAS floor for the offer/funnel, so scaling didn’t resume quickly enough.

  2. Sales pipeline constraint (“fill closer calendars”)

    • Core bottleneck: marketing drives leads, but capacity to convert/schedule closers caps growth.
    • Hiring is partially done (lead closer + SDRs), but capacity isn’t fully maxed.

  3. Weak back-end conversion paths (expectations + sequencing)

    • Current nurturing seems mostly “book a call” rather than structured course/continuity ascension sequences.
    • There’s a single nurturing sequence and limited automation that pushes people deeper based on intent signals (webinars, masterclass engagement, etc.).

  4. Webinar cadence chosen conservatively

    • Webinar cadence: bi-weekly
    • Recommendation: increase frequency (especially for cold audiences)

Frameworks / playbooks explicitly referenced or implied

1) Customer return analysis (“repeat transaction” report)

  • Process: Export all customers from Stripe/CRM; compute:

    • % of customers who pay more than once
    • % breakdown of customer paths (e.g., $6k → $2k/month continuity, or $750 → $1k/month transitions)

  • Target / KPI guidance:

    • “Ideally more than half” of customers transact >1 time
    • Their metrics improved from ~43% to ~50% (as of “past month”)

2) Scaling trough concept (ad spend scaling math)

  • Logic:

    • When scaling from low spend, you see a misleading “dip” that doesn’t represent the true long-run ROAS.
    • You must push past the trough until you find the new ROAS floor.

  • Condition to scale again:

    • Use a trigger once you’ve “overcome” the historical issue (e.g., tracking, bots, CTR drops, algorithm change)

3) Funnel conversion system = two levers

  • Cycle: Scale ad volume → fill closer calendars → hire more closers → repeat
  • Any other issue is framed as a sub-problem of these two:
    • Webinar/call funnel failing
    • Closer calendar/sales capacity failing

4) CRM automation segmentation via AI agents

  • Mechanism:

    • Use lead magnet opt-ins to tag interests in CRM
    • AI agent sends contextual emails 3–4x/week (no broadcast), rotating topics based on engagement stage
    • Enrichment data increases personalization and routing

  • Goal: increase continuity/upsell conversion by reaching people with relevant next steps immediately

Key metrics & KPIs mentioned (and targets)

Marketing & funnel

  • Ad spend: ~$20k/month (about $1k/day total ad spend mentioned as still “low”)

  • Book-a-call conversion ROAS (last 4 weeks): ~4.8

  • Webinar results (recent “Jeremy way” webinar):

    • 550 register, 300 show (strong show rate)
    • ~$6k sold on-call
    • ~$9k sold back-end
    • Projected close total: ~$50k cash collected
    • CPL improvement: cost per lead ~$30 → ~$7 cost per qualified lead
    • Booked calls: 20
    • Spend estimate for webinar promotion: ~$2k
    • Timing: ran last Thursday; “bi-weekly” cadence generally planned

Sales / conversion capacity

  • Closers/SDR capacity (utilization):
    • Lead closer: ~60–70%
    • Owner (Jonathan): ~80%
    • Setters: ~50–70%
  • Recommendation: hire 1–2 more closers to remove owner from selling and increase throughput

Offer economics

  • DWY margin: estimated ~70% margin
  • DFY margin: estimated ~30% margin
  • Continuity: DWY $2k/month maintenance

Client lifecycle KPI (retention-like transaction depth)

  • Repeat payers: improved from ~43% to ~50%
  • Emphasis: drive more customers into high-intent paths and continuity cycles

Concrete examples & actionable recommendations

A) Use a “repeat transaction” report to find revenue leaks

  • Action: run a report on customers who paid at least twice
  • Map top customer paths to understand what’s working naturally vs. what you aren’t intentionally optimizing.
  • Example used by Jeremy (generic):
    • Third best path might be $750 → $1k/month transition, which becomes a lever if you build automations triggered by “masterclass purchase” behavior.
  • Action for Jonathan: analyze whether DFY’s dominant path (likely $6k → $2k/month continuity) is also the most lucrative path—or if hidden high-value paths exist.

B) Upgrade back-end sequencing beyond “book a call”

  • Current: webinar/masterclass traffic flows primarily into one nurturing path (book a call).
  • Recommendation:
    • Create escalation tracks like free course → $500 → $1k → $2k (even as down-funnel)
    • Add automation triggers based on opt-ins/clicks/opens

C) Deploy AI agent in the CRM to personalize 3–4 emails/week

  • Mechanics described:
    • Hermes-style AI agent in GoHighLevel
    • Contextual segmentation + topic rotation
    • Enrichment via tools like People Data Labs/Clay to add ~100+ data points
    • Maintain an 8-stage pipeline from cold → closed/lost

D) Increase webinar cadence (especially for cold audience)

  • Current: bi-weekly
  • Recommendation:
    • Warm: ~monthly
    • Cold: weekly
    • If capacity exists: 2x/week (or more as testing validates performance)
  • Key warning: don’t scale webinar budgets too aggressively if ROI doesn’t hold with conservative show/close rates.

E) Fix scaling decision-making with a “trigger” rule

  • They waited ~2.5 months after solving the earlier problem before scaling again.
  • Recommendation:
    • Define a trigger like:
      • “If issue X is resolved (CTR normalized / bot issue cleared / tracking fixed) AND we’ve sustained stability for Y weeks, then scale ad spend immediately.”

F) Hire to remove the conversion bottleneck

  • Recommendation: hire 1–2 additional closers
  • Reasoning: more closers increase conversion capacity, allowing ad spend to scale without losing momentum.

G) Narrative management / expectation management improvements

  • Guarantee messaging caused confusion:
    • “10,000 users” ≠ “10,000 paying customers”
  • Action:
    • retire the guarantee
    • use pain-based messaging (split test)
    • shift funnel messaging accordingly
    • implement “expectations equal success” with clear onboarding assets (e.g., an “expectation sheet” one-pager)

Execution plan (what to do next, in order)

  1. Close the loop of the operating cycle: Scale ads → fill closer calendars → hire closers → repeat

  2. Increase webinar cadence (weekly or twice weekly for cold, per recommendation)

  3. Build back-end sequencing beyond the book-a-call only path (course/bolt-on escalation + contextual triggers)
  4. Implement AI CRM agent personalization (3–4x/week contextual emails, no broadcasts; enrichment + pipeline management)
  5. Shift messaging/funnel:
    • pain-based messaging
    • clarify “users vs paying customers”
    • remove/retire the guarantee to reduce churn/chargebacks
  6. Reassess what to sell and to whom:
    • use path mapping to identify high-value transitions
    • potentially shift more toward DWY if it’s less burdensome and higher margin

Presenters / sources mentioned

  • Jeremy (host; business breakdown reviewer)
  • Jonathan Maxum (Founder & CEO, Viral App Launch)

Original video