Case Studies Reports Experience Capabilities About Contact
Muhammad Ibrahim Bin Zahid
Performance Marketer

I scale paid acquisition around real business outcomes.

Performance marketing focused on qualified lead generation, call quality, CPA optimization, creative testing and controlled campaign scaling β€” with compliance built into the process, not bolted on afterward.

$11.38M
Solo Direct Media Buying
Combined reported revenue across ACA, Debt Relief and Final Expense
1.52M+
Solo Traffic Processing
Combined incoming calls across the reported solo datasets
30.79%
Blended Conversion Rate
Approximately 469K converted calls against 1.52M+ incoming calls
$19.76M
Team Operations
Broader team-level campaign portfolio revenue
Solo figures aggregate the supplied ACA, Debt Relief and Final Expense reporting datasets. Team-level revenue represents a separate, broader operational reporting scope and is not added to solo revenue. Conversion rates, call totals, payout and revenue may use different reporting definitions or date ranges. Refer to each source export below.
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Both verticals operate under regulatory scrutiny (CMS on ACA marketplace lead gen; CFPB/FTC on debt relief). My SOPs treat compliance approval as a hard launch gate and use creative to pre-qualify consumers rather than overstate offers β€” details in the process reports below, not just the headline numbers.

Individual execution. Team-level scale.

Explore the underlying call-tracking reports by vertical and reporting scope. Solo campaign results and broader team operations are presented separately for clarity.

Source reports
Ringba β€” Solo ACA & Debt Relief
Individual campaign execution

ACA & Debt Relief

Multi-year Ringba reporting across the solo ACA and Debt Relief datasets.

Ringba
1.46M+ Incoming calls
$10.26M Reported revenue
29.52% Conversion
$7.86 Revenue per call
Ringba report for solo ACA and Debt Relief campaigns showing incoming calls and reported revenue. Open full-resolution report β†—
Reported revenue and conversion reflect the displayed reporting scope. See the original export for dates, filters, call definitions and payout reconciliation.

Performance systems built around economics.

Selected paid acquisition engagements across lead generation, direct-response acquisition, and qualified-call acquisition. Each case study represents a separate performance operation for a different client or vertical.

CASE STUDY 01
ACA Β· 2023

Scaling U.S. ACA Lead Generation

A paid acquisition operation focused on generating qualified calls and improving campaign economics through structured testing, optimization, and controlled scaling across Google Ads and Meta.

Google Ads Meta ACA Lead Generation Qualified Calls U.S. Market
~$220 β†’ <$90
CPA improvement
20+
Ad accounts managed
$4.41M
Ringba-reported revenue
470K+
Incoming calls
Figures are rounded; full methodology and limitations are in the report.
Inside the report β€” CPA before/after
Before
~$220
After
<$90
Full CPA trendline, account-by-account breakdown and scaling rules are in the SOP & performance report.
View ACA Case Study β†’
CASE STUDY 02
Debt Relief Β· 2024–2025

Scaling Debt Relief Lead Generation

A two-year, full-funnel acquisition operation focused on qualified-call monetization, creative-led qualification and scalable performance across Google, Meta and TikTok.

Google Meta TikTok Debt Relief Qualified Calls U.S. Nationwide
$5.4M+
Revenue generated
$3.7M+
Media spend
935K+
Calls generated
272K+
Monetized qualified calls
Revenue-to-spend, not net profit; costs outside media spend are excluded.
Inside the report β€” buyer CPA before/after
Before
$2,000+
After
<$900
Creative-qualification framework, call-monetization funnel and 2-year scaling curve are in the SOP & performance report.
View Debt Relief Case Study β†’
CASE STUDY 03
E-commerce Β· 7-Month Engagement

Direct-Response Acquisition at Scale

A seven-month direct-response acquisition operation spanning Weight Loss and Manifestation offers, with end-to-end ownership across Meta media buying, creative strategy, funnel optimization, tracking and daily performance management.

Meta Ads Nutra Weight Loss Manifestation Direct Response Funnel Optimization
$20K
Peak daily spend
~$300 β†’ $20K+
Daily spend scale
1.77Γ—
ROAS snapshot
77%
ROI snapshot
Historical snapshots only; figures do not represent complete seven-month financial results.
View E-commerce Case Study β†’
CASE STUDY 04
Insurance Β· 2026–Present

Google Search Acquisition at Scale

An ongoing Google Search acquisition operation focused on multi-account scaling, search-intent capture, conversion optimization and qualified acquisition across the insurance vertical.

Google Search Insurance Multi-Account Search Acquisition Lead Generation U.S. Market
1.32Γ—
Proven ROAS (Performance side)
$781.5K
Documented spend
25Γ—
Daily spend scale
$600 β†’ $15K+
Daily spend range
Documented spend reflects available account-level historical snapshots.
View Insurance Case Study β†’
CASE STUDY 05
B2B SaaS Β· Co-Founder & Growth

B2B SaaS Paid Acquisition & Funnel Experiment

Owned paid acquisition and GTM strategy end-to-end for SpyingAgent, an AI ad-intelligence tool. Built landing pages, Google Search campaigns, GA4 conversion tracking, and ran pricing & onboarding A/B tests.

Google Search B2B SaaS GTM Strategy Conversion Rate GA4 Analytics Funnel Testing
8.9%
High-Intent Conv. Rate
$33.55
Cost / Trial Sign-up
73
Trial Sign-ups Generated
6.4%
Blended Conv. Rate
Self-funded founder experiment (Sep 2024–Mar 2025). High-intent search drove 52% of sign-ups at $33.55 cost/conv.
Inside the report β€” Campaign Conv. Rate Breakdown
High-Intent
8.9%
Problem-Led
4.7%
High-intent search beat problem-focused traffic by 89% in conversion efficiency ($33.55 vs $45.37 CPA).
View SaaS Case Study β†’

The process behind the performance.

Go beyond the headline results. These reports document the media-buying processes, creative testing frameworks, compliance gates, and performance data behind each acquisition operation.

Where the numbers come from.

A resume-style view of scope and tenure per engagement. Client names are withheld under confidentiality agreements; dates, role and scope are accurate.

2025 β€” Present
Performance Marketer β€” Insurance Search Acquisition
Stealth Β· Google Search Ads, Ringba, CallGrid Β· U.S. Market
  • Owned end-to-end Google Search acquisition for Final Expense and Insurance lead generation, scaling daily spend from $600/day to $15,000+/day.
  • Managed multi-account search operations across 10+ Google Ads accounts to mitigate account-level risk and bypass single-account spend ceilings.
  • Achieved a proven 1.32Γ— ROAS across $781.5K+ in documented spend using data-driven bid management (Maximize Conversions β†’ Target CPA) and hourly performance monitoring.
2024 β€” 2025
Co-Founder, Growth & Marketing β€” B2B SaaS (SpyingAgent)
Self-Funded Venture Β· Google Search Ads, GA4, GTM Β· Global
  • Built and executed GTM acquisition strategy for an AI ad-intelligence platform, generating 73 trial sign-ups at a 6.4% blended conversion rate.
  • Optimized Google Search structures: high-intent keywords achieved an 8.9% conversion rate at $33.55 per trial signup.
  • Analyzed full-funnel GA4 drop-offs and ran product pricing/onboarding experiments to evaluate trial-to-paid activation mechanics.
2024 β€” 2025
Performance Marketer β€” Debt Relief Lead Generation
Stealth Β· Google, Meta, TikTok Β· U.S. Nationwide
  • Owned paid acquisition strategy end-to-end: campaign setup, budget allocation, creative testing, scaling and descaling.
  • Reduced buyer-side acquisition cost from $2,000+ to under $900 for repeatable winners while scaling spend ~5x.
  • Built a creative-qualification framework used to pre-qualify consumer debt load before the call stage.
2023
Performance Marketer β€” ACA / Health Insurance Lead Generation
LeadVIPS Β· Google Ads, Meta Β· United States
  • Managed 20+ ad accounts, improving CPA from ~$220 to under $90 while scaling monthly spend from ~$7K to $30–60K.
  • Built attribution reconciliation process across platform, call-tracking (Ringba), and business-revenue data layers.
  • Trained and mentored 3 junior media buyers on campaign management and downstream performance analysis.

Paid acquisition built around the numbers that matter.

My approach combines media buying, creative testing, funnel optimization and downstream performance data to improve acquisition economics.

01

Google Ads

Search and video campaign management, keyword research, bidding strategy, testing and scaling.

02

Meta Ads

Broad acquisition, creative testing, campaign architecture and performance optimization.

03

TikTok Ads

Video-first acquisition, creative testing and controlled scaling using performance-based bidding.

04

Lead Generation

Acquisition systems designed around qualified leads, inbound calls and monetizable outcomes.

05

CPA Optimization

Structured decision-making using acquisition cost, call quality and downstream performance data.

06

Campaign Scaling

Controlled budget expansion once campaigns demonstrate consistent economic performance.

07

Creative Testing

Hook, angle, and messaging tests designed to improve both acquisition efficiency and lead quality.

08

Funnel Optimization

Landing-page and qualification-path improvements focused on increasing the quality of acquired traffic.

09

Performance Analytics

Translating downstream buyer data into targeting, budget, and creative decisions.

I optimize beyond the ad platform.

Strong paid acquisition is not just about generating cheap clicks. The goal is to acquire traffic that creates measurable, compliant value downstream.

Acquisition

Build and test campaigns around the economics required by the business.

  • Audience research
  • Creative testing
  • Campaign architecture
  • Budget allocation
  • Controlled scaling

Downstream Quality

Feed real performance data back into acquisition decisions rather than optimizing to platform metrics alone.

  • CPA monitoring
  • Call-quality analysis
  • Qualification performance
  • Buyer feedback loops
  • Descale / scale decisions

Media buying with a focus on measurable outcomes.

I'm a performance marketer specializing in lead generation, qualified-call acquisition, and scalable paid media.

My approach combines structured testing, disciplined optimization, creative strategy, and downstream performance data to find and scale profitable acquisition opportunities.

I've worked across high-volume, regulated acquisition environments where campaign success depends on more than platform metrics β€” and where compliance has to be part of the process, not an afterthought.

Muhammad Ibrahim Bin Zahid, Performance Marketer
Muhammad Ibrahim Bin Zahid
Performance Marketer
  • Google Ads + Meta + TikTok
  • Qualified-call acquisition
  • CPA and unit-economics optimization
  • Creative strategy and testing
  • Audience and keyword research
  • Landing-page and funnel optimization
  • Multi-account campaign management
  • Controlled performance scaling
  • Downstream buyer feedback loops
  • Compliance-gated launch process

Need paid acquisition that scales?

If you need a performance marketer who can manage acquisition around CPA, lead quality, call performance, and measurable business outcomes, let's talk.

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