Case Study

XPIPS

XPIPS

How a Clear Ad Structure and Smarter Targeting Took This Prop Firm From Break-Even to Profitable Scaling

How a Clear Ad Structure and Smarter Targeting Took This Prop Firm From Break-Even to Profitable Scaling

The Problem

The Problem

XPIPS came to us after trying three different media buyers.

XPIPS came to us after trying three different media buyers.

They had spent over $60,000 on ads (mostly on Meta and Google) but couldn’t figure out why performance kept dipping.

They had spent over $60,000 on ads (mostly on Meta and Google) but couldn’t figure out why performance kept dipping.

Their Google Ads account was messy. Dozens of campaigns, no clear structure, and too many broad-match keywords. Their landing pages weren’t built for traders. Headlines were vague. CTAs were generic. Mobile experience was poor.

Conversions were happening, but most were from low-intent users. Many would sign up, click around, and leave.

Conversions were happening, but most were from low-intent users. Many would sign up, click around, and leave.

Worse: their best traders weren’t coming through ads at all, they were referrals or organic. Paid traffic wasn’t bringing quality.

Worse: their best traders weren’t coming through ads at all, they were referrals or organic. Paid traffic wasn’t bringing quality.

The founders didn’t want to pause ads. But they knew they were wasting money

The founders didn’t want to pause ads. But they knew they were wasting money

What they needed was not just better ads—but a system that attracted serious traders, filtered out noise, and brought ROI they could build on.

What they needed was not just better ads—but a system that attracted serious traders, filtered out noise, and brought ROI they could build on.

What We Did

What We Did

We treated this like a rebuild, not just a tweak.

1. Shut down all existing campaigns
We paused everything. No half-measures. Starting fresh meant fewer unknowns and better tracking.

2. Rebuilt their Google Ads structure
We created three core campaign types:


  • Brand Protection (their firm name + misspellings)

  • Trader Intent (“funded trader program,” “forex prop firm challenge,” “evaluation funding”)

  • Competitor Comparison (exact match terms for rival firms like FTMO, MyForexFunds, TrueForex)


Each ad group had its own specific landing page without generic homepage copy.

3. Fixed the tracking mess
They weren’t tracking completed purchases or signup abandoners properly. We implemented conversion tracking through Google Tag Manager, added UTM parameters, and made sure each campaign had accurate data coming in.

4. Wrote clearer, trader-focused ad copy

We removed fluff and focused on what serious traders care about:


  • Scaling rules

  • Payout structure

  • Platform availability (MT5, c Trader, etc.)

  • Risk limits


One ad headline that converted especially well:

“Pass the Challenge, Get Funded in 24 Hours. No Gimmicks.”

5. Redesigned landing pages
We rebuilt their Google ad landing pages with a clear goal: make a serious trader feel like this firm understands trading.


Each page had:

  • A breakdown of challenge rules

  • A sample funding calendar

  • Screenshots of the trader dashboard

  • 3 short reviews from verified funded traders

  • 1-click support link in case they had questions


Mobile performance improved dramatically after that—bounce rate dropped by nearly half.

6. Created a retargeting loop
We ran a separate campaign that targeted people who clicked but didn’t buy. The follow-up ads.


were direct and built around questions we saw in live chat logs like:

  • “When do I get paid?”

  • “Is the challenge refundable?”

  • “How does scaling work?”


These ads brought people back with answers.

The Outcome

The Outcome

0%

Cost per action

0%

Conversion rate

0%

Refund requests

0%

Monthly Revenue

0%

Refund requests

0+

Prop Rating

Cost per action dropped by 46% within the first 6 weeks

  • Landing page conversion rate increased from 1.4% to 5.8%

  • Evaluation purchases directly from ads grew by 79%

  • Refund requests dropped by 22% (better page clarity + filtered clicks)

  • Ad ROAS went from 0.8 to 3.6 within 60 days

Most importantly: they finally saw predictable returns from paid media.

What used to be a gamble is now a structured, profitable system. We didn’t scale by spending more. We scaled by making every click count.

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From conversion-focused funnels to compliant ads and data-rich insights. Let's start real growth for your prop firm

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UAB Salesbridges

Saudyklos g.6, Lithuania

info@adtrend.io

UAB Salesbridges

Saudyklos g.6, Lithuania

info@adtrend.io