Case Study 01 — Reactiiv's First Client · AI Voice-Agent Education Company
$30K/month to $120K/month in 60 days
Tactical Consulting (Wyatt Roderick) · 2024 – 2025 · Reactiiv engagement — account + email led by Stefan Lenassi
The before: a young founder — sixteen years old when Stefan came on — with real traction at $30K/month and no acquisition engine behind it.
What was run: Stefan took over the ad account and the entire email program — list strategy, campaign copy, and the daily send rhythm that turns an audience into a revenue floor.
4X
$30K/month to $120K/month within 60 days
60
Days from takeover to peak run-rate
Reactiiv's first client engagement; figures from the account and revenue records of the engagement, retained as receipts.
Case Study 02 — Early Reactiiv Client · B2B Education Company
Media buying behind a $200K/month to $600K/month climb
ClientAcquisition.io (Serge Gatari) · 2024 – 2025 · Reactiiv engagement — media buying led by Tyler Leleux
Among Reactiiv's first clientele: one of the most visible client-acquisition education companies in the space. With Tyler leading the media buying, the company scaled from roughly $200K/month to $600K/month — the kind of spend-under-pressure environment where every dollar is accountable to booked calls and closed revenue.
3X
Monthly revenue growth during the engagement
$600K
Monthly run-rate reached
B2B
High-ticket, call-booking funnel economics
Early Reactiiv client engagement; figures confirmed by the engagement's media buying lead.
Case Study 03 — Media Buying Track Record
$500K+ in managed ad spend, 2,700+ booked calls
Accounts our team managed · Oct 2025 – Feb 2026
Before Reactiiv productized its systems, our team ran paid acquisition for a portfolio of sales organizations — high-volume call-booking campaigns under real performance pressure, with spend scaling past $8,400/day on a single account at peak.
$500K+
Ad spend managed across the portfolio in 5 months
$27.22
Best cost per booked call at scale
Historical track record, dated as shown; accounts presented in aggregate under client confidentiality. Documented via platform reporting at the time, including a 93/100 Meta Opportunity Score.
Why these numbers are trustworthy
- Source-pulled, not remembered. Every figure above was recomputed from the source system — ad platform, CRM, or payment processor — before publication, with the engagement window stated.
- Every engagement has a truth file. Every decision on every account is logged the day it happens — the date, the decider, and the actual words. When a client asks "why did we do X," the answer takes minutes, not meetings.
- We state what we don't have. No composite "clients like these" math, no annualized projections from one good month, and no results borrowed from engagements we can't verify.
- Results are situational. Each outcome reflects that client's offer, market, and follow-up — we build the system and the pipeline; the client's sales motion closes it.
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