Case studies · observed outcomes

Results you can audit.

Four growth systems. Measured outcomes and clearly labeled models. No mystery math.

Evidence index

  1. 01Meta ads + lead operationsShine Palm Beach
  2. 02Close CRM + journey attributionIMA
  3. 03SEO + recurring revenueBreaking the Fast
  4. 04Email + lifecycle operationsAtucún
76%lower Meta CPL
1 callClose lead to tracked journey
5×growth in four months
300%modeled first-month ROI
01Meta ads + lead operations

Shine Palm Beach

Four times the lead yield from every ad dollar.

Sapt paired a sharper Meta acquisition system with a conversion-ready quote funnel and reliable internal handoff. The result is a much more efficient path from paid impression to actionable opportunity.

76%lower cost per leadA 75.9% client-reported CPL reduction across the comparison window.
Cost per lead
Before
$290
After
$70
lead yield per ad dollar
4.1×

The same budget can theoretically generate 4.1 times as many leads.

quote-flow completion
76.5%

More than three quarters of attributed prospects completed the quote flow.

workflow success rate
100%

Every observed internal lead-notification run completed successfully.

What changed

  1. Rebuilt the measurement path from Meta click to lead record.
  2. Separated paid-media performance from the operational follow-up gap.
  3. Automated a structured internal lead summary so the team can respond from one record.

Measurement noteCPL improvement is calculated from the operator-reported comparison and rounded. Lead-yield multiple is the inverse of the CPL index. Quote completion and workflow success are verified in Sapt CRM through July 23, 2026.

02Close CRM + journey attribution

IMA

Sapt found $60K/month of wasted media — and cut cost per qualified meeting 20%.

IMA was governing more than $200K in monthly media with no line of sight from spend to a qualified meeting. Sapt traced every lead’s path from first touch to booked meeting and surfaced roughly $60K a month landing on campaigns that never produced one. Reallocated into what actually converts, cost per qualified meeting fell 20% — all from sending Sapt the native Close lead ID, with no CRM migration.

$60K/moof broken ad spend eliminatedReallocated into the campaigns actually producing qualified meetings.
What one Close lead ID unlocks
Inputlead_…Native Close lead ID
Read live leadClose stays the system of record
Resolve identityLead ID · email/phone · Meta click ID
Return journeyFirst touch → last touch
Returned to IMA
  • Source + campaign
  • Sessions + pageviews
  • Entry + exit paths
  • Device + country

No CRM clone. No spreadsheet join. No invented match.

wasted spend identified
$60K/mo

Budget hitting clicks that never became a qualified meeting.

cost per qualified meeting
−20%

After the wasted budget was reallocated into what converts.

monthly media under attribution
$200K+

Lead-level context for a multichannel media program of meaningful scale.

What changed

  1. Built a project-scoped endpoint that starts with the native Close lead ID—not a copied CRM record.
  2. Resolves identity only through safe, deterministic signals and returns no match when the evidence is ambiguous.
  3. Returns acquisition, session, page, campaign, device, and geography context to the interface or agent already handling the lead.

Measurement noteWasted-spend and cost-per-qualified-meeting figures are operator-reported by IMA and cross-referenced against Sapt’s lead-level attribution following the July 2026 integration. Monthly media volume is operator-supplied. Results reflect one team’s program and are not a guarantee of future performance.

03SEO + recurring revenue

Breaking the Fast

Search and subscriptions drove 5× growth in four months.

Breaking the Fast paired local search content with a buying path built for repeat behavior. Over four months, client-reported monthly revenue grew from roughly $6K to $30K as organic discovery fed one-time trials and recurring weekly orders.

5×growth in four monthsClient-reported monthly revenue grew from approximately $6K to $30K.
Monthly revenue run rate
Before
$6K/mo
After
$30K/mo
monthly revenue
$6K → $30K

The reported monthly run rate increased fivefold in four months.

four-month growth
+400%

A 400% increase from the starting monthly baseline.

annualized run-rate lift
+$288K

The reported monthly gain compounds to an additional $288K per year.

What changed

  1. Built search content around high-intent customer questions.
  2. Launched local search entry points for Lansing, Detroit, and Grand Rapids.
  3. Added subscription ordering so acquired demand could compound.

Measurement noteRevenue and the four-month window are client-reported and rounded; current analytics do not isolate organic-attributed revenue. The verified system includes three city pages, six-plus indexed editorial pages, and one-time or auto-delivery weekly plans.

04Email + lifecycle operations

Atucún

Cold email becomes a recurring-revenue engine.

The system turns a cold prospect into a personalized sample experience, then follows the relationship through qualification, recurring purchase, payment, and fulfillment. The economics compound quickly even under a simple one-year model.

300%modeled first-month ROIGross recurring revenue after acquisition cost in the first month.
first-month ROAS
4×

Every acquisition dollar is modeled to return four dollars in first-month revenue.

first-month ROI
300%

First-month recurring revenue exceeds acquisition cost by three times CAC.

CAC payback
<8 days

Acquisition cost is recovered in roughly one quarter of a month.

What changed

  1. Personalized cold outreach routes qualified prospects into a sample workflow.
  2. A 20% sample-to-recurring conversion rate creates repeatable unit economics.
  3. The same operating layer tracks recurring value, payment, wholesale qualification, and fulfillment.

Measurement noteModeled scenario—not realized historical ROI. Operator-supplied assumptions: 20% of samples convert to recurring revenue, each account produces $80 per month, and all-in CAC per recurring account is $20. First-month ROI is ($80 − $20) ÷ $20 = 300% and excludes product costs, fulfillment, churn, and discounting.

How we report results

Strong claims. Visible assumptions.

01Every result names its measurement window or reporting basis.

02Rounded values are marked as rounded, not disguised as precision.

03Modeled outcomes expose their assumptions, time horizon, and exclusions.

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