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Case Study: How I Made $320 in 24 Hours with a 35% ROI — and What I Learned

Recently, one of my campaigns generated a $320 profit in just 24 hours with a solid 35% ROI. It looked like the perfect run — until the next day reminded me why constant tracking matters.

On August 5th, my RPC (Revenue Per Click) spiked, and the campaign ended with a total profit of $750. But on August 6th, the RPC took a sharp dip, cutting profitability significantly.

Here’s what I learned:
I now make it a rule to check RPC as soon as the new day begins. The first 3–5 hours reveal a lot — by monitoring closely early in the day, I can quickly adjust the budget and bids based on trends. This lets me lock in gains or minimize losses before things spiral.

In performance marketing, being reactive isn’t enough — you have to be proactive.

Case Study: 💰 $1,000 Profit in 24 Hours | 80% ROI | Rocket Maximizer In Action 🚀

💰 $1,000 Profit in 24 Hours | 80% ROI | Rocket Maximizer In Action 🚀

One vertical. One strategy. Laser-focused scaling.

I pulled in $1,000 profit within 24 hours using Rocket Maximizer, achieving an 80% ROI by simply following the data — not guessing.

It all comes down to spotting a high-performing vertical and having the skill (and patience) to scale it based on live performance metrics — not emotion.

Shoutout to Search Arbitrage Academy for giving the blueprint.

👉 Stay consistent. Track everything. Scale what works.

Case Study: 💰 $32,000 in 30 Days Using Only AFD Feeds

In July, I generated $32,000 in revenue using AFD (Ad Feed Distribution) feeds alone — with no additional ad networks, cloaking, or traffic sources.

The goal was simple: test the potential of AFD feeds as a standalone revenue model and scale only what worked. I began by testing multiple feeds, analyzing RPM (Revenue per Mille), CTR, and RPC (Revenue per Click) to find profitable verticals. Once I identified consistent performers, I scaled gradually — prioritizing stability over speed.

Every day, I monitored RPC trends closely during the first few hours and adjusted bids and budgets accordingly. This approach allowed me to maintain a strong ROI and stable daily profits, even during performance dips.

The strategy was 100% feed-based. No gimmicks — just data, discipline, and daily optimization.

This case study proves that with the right strategy, AFD feeds can produce high revenue without complexity.

Case Study: $1,882 Profit in 24 Hours with 646% ROI Using Search Arbitrage

In this campaign, I turned a $291 ad spend into $1,882 profit within just 24 hours — a staggering 646% ROI. This wasn’t luck. It was the result of precision, timing, and mastering the Search Arbitrage model.

The strategy began with targeting high-intent keywords through carefully optimized ad feeds. By monitoring RPC (Revenue Per Click) in real-time and adjusting bids based on early performance indicators, I was able to capitalize on a hot vertical with minimal competition and maximum return.

A critical component was early-day monitoring — I tracked the first 3–5 hours of performance closely to detect trend spikes and scale instantly when numbers aligned. This allowed for aggressive scaling without risking budget loss.

Importantly, this campaign ran without cloaking, black-hat methods, or multi-platform chaos — just clean arbitrage, refined with data-driven decision-making.

Case Study: $1,486 Profit in 24 Hours with 604% ROI Using AFD

n a single day, I achieved $1,486 in profit with just $246 in ad spend, delivering an impressive 604% ROI — all through AFD (Ad Feed Distribution).

This campaign is a clear example of what’s possible when you understand how to scale feeds based on performance data. There was no cloak, no native ad layering, and no black-hat shortcuts — just pure feed optimization backed by strategy.

The key? Real-time tracking and responsiveness.
I closely monitored RPC (Revenue Per Click), RPM (Revenue per Mille), and CTR within the first few hours of the campaign launch. Once I confirmed a stable ROI trend, I gradually scaled the budget throughout the day, ensuring each dollar spent returned multiples in profit.

AFD, when done right, is a powerhouse — and in this case, it delivered results that felt like it was “on steroids.”

Case Study: $1,000 Profit in 24 Hours with 296% ROI — AFD Search Arbitrage in Action

In one of my recent campaigns, I generated $1,000 in profit within 24 hours with a 296% ROI, using nothing but AFD (Ad Feed Distribution) through Search Arbitrage.

The goal was simple: squeeze every bit of performance from high-converting feeds while the opportunity is still hot. By combining deep keyword intent analysis with tight bid control, I was able to turn a modest ad spend into a serious profit in just a single day.

What made the difference? Micro-tweaks.
I fine-tuned the setup based on device type, time of day, and feed priority. These small adjustments led to a significant jump in performance. AFD isn’t about blasting large budgets — it’s about optimizing with precision and reacting quickly to RPC and CTR trends.

This result proves once again that AFD arbitrage still has serious potential — if you know how to play the game right. But like all arbitrage models, timing is everything. Squeeze it while it works.

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