GOLDEN GOOSE
Affiliate Case Study: How a Malaysia Push Campaign Reached 51.4% ROI
Push traffic is often associated with fast testing cycles, but this Malaysia campaign is a good example of how quickly the numbers can turn positive when targeting, frequency, and placement filtering are aligned from the start.
The campaign promoted a mobile services offer in Malaysia using Push traffic from PropellerAds. It became profitable within just two days, initially reaching 28.7% ROI and later scaling to 51.4% ROI after optimization.
Campaign Overview
The promoted offer was a mobile service available through Golden Goose. The exact offer used in the original campaign may no longer be active, but the setup itself is still useful as a practical example of how to approach Push traffic in the mVAS vertical.
The Initial Setup
The buyer kept the targeting relatively focused:
That matters because Push performance can vary significantly depending on how recently and actively users interact with notifications. Higher activity can mean higher traffic costs, but it can also bring more responsive users.
Frequency Control Helped Avoid Creative Fatigue
The campaign used a frequency setting of:
1 click per creative every 72 hours.
This helped balance visibility with repetition.
With Push traffic, showing the same message too frequently can quickly reduce performance. Users become familiar with the creative, CTR starts dropping, and advertisers end up paying for increasingly weaker engagement.
A longer frequency window can help protect the strongest creatives from burning out too quickly.
Blacklists Played a Major Role
One of the biggest factors behind the fast profitability was the use of an existing optimized blacklist.
Instead of buying traffic from every available placement and waiting to identify weak sources, the buyer excluded placements already known to perform poorly.
This does not mean every campaign requires a pre-built blacklist. New advertisers may need to collect their own data first.
However, if you already have reliable placement history from similar campaigns, using it can significantly shorten the optimization cycle.
Creatives and Pre-Landers Were Tested Together
The buyer did not rely on a single Push creative.
Multiple combinations of creatives and pre-landers were tested, with the strongest-performing setup eventually receiving more traffic.
This is especially important with Push because the creative acts as the first qualification stage.
A strong Push ad needs to do more than generate clicks. It should attract users who are actually interested enough to continue through the funnel.
Testing several combinations allowed the buyer to identify which message and landing experience worked best before scaling.
From 28.7% to 51.4% ROI
The campaign already reached 28.7% ROI within its first two days.
After the initial data came in, the buyer continued optimizing placements, activity segments, and creatives. The campaign eventually reached 51.4% ROI, while maintaining stable traffic and conversions.
That progression is important.
The campaign was not scaled simply because the first results looked good. The profitable elements were identified first, then more volume was directed toward them.
What Affiliates Can Learn From This Case
A few lessons stand out.
1. Narrow targeting can speed up testing.
Starting with Malaysia, Android, and mobile Push reduced unnecessary variables.
2. User activity levels matter.
High-activity users produced the strongest results, but other segments still had potential.
3. Frequency can affect profitability.
Controlling how often users interact with the same creative helps prevent fatigue.
4. Historical placement data is valuable.
An effective blacklist can reduce wasted spend and accelerate optimization.
5. Test creatives and pre-landers as a pair.
The winning combination matters more than either element in isolation.
Final Takeaway
This campaign shows that profitable Push traffic does not always require weeks of optimization.
With focused targeting, controlled frequency, strong placement filtering, and systematic creative testing, the campaign moved into profit within two days and later increased ROI from 28.7% to 51.4%.
For affiliates testing mobile services or mVAS offers, Malaysia may be worth exploring — but the broader lesson applies to almost any GEO: reduce obvious waste early, test enough creative variations, and scale only the parts of the campaign that prove they can convert.
Case data is based on a campaign originally published by Golden Goose / DCB Hub. Individual results are not guaranteed and can vary depending on the offer, traffic source, targeting, creatives, and market conditions.
The campaign promoted a mobile services offer in Malaysia using Push traffic from PropellerAds. It became profitable within just two days, initially reaching 28.7% ROI and later scaling to 51.4% ROI after optimization.
Campaign Overview
Metric | Result |
GEO | Malaysia |
Vertical | Mobile Services |
Traffic Source | PropellerAds |
Ad Format | Push |
Device | Mobile |
OS | Android |
Flow | CPC |
Initial ROI | 28.7% |
ROI after scaling | 51.4% |
The promoted offer was a mobile service available through Golden Goose. The exact offer used in the original campaign may no longer be active, but the setup itself is still useful as a practical example of how to approach Push traffic in the mVAS vertical.
The Initial Setup
The buyer kept the targeting relatively focused:
- GEO: Malaysia
- Device: Mobile
- OS: Android
- Browsers: All
- Traffic format: Push notifications
That matters because Push performance can vary significantly depending on how recently and actively users interact with notifications. Higher activity can mean higher traffic costs, but it can also bring more responsive users.
Frequency Control Helped Avoid Creative Fatigue
The campaign used a frequency setting of:
1 click per creative every 72 hours.
This helped balance visibility with repetition.
With Push traffic, showing the same message too frequently can quickly reduce performance. Users become familiar with the creative, CTR starts dropping, and advertisers end up paying for increasingly weaker engagement.
A longer frequency window can help protect the strongest creatives from burning out too quickly.
Blacklists Played a Major Role
One of the biggest factors behind the fast profitability was the use of an existing optimized blacklist.
Instead of buying traffic from every available placement and waiting to identify weak sources, the buyer excluded placements already known to perform poorly.
Approach | Likely Effect |
Launch without blacklist | More traffic and data, but higher testing costs |
Launch with optimized blacklist | Lower waste and faster path to profitability |
This does not mean every campaign requires a pre-built blacklist. New advertisers may need to collect their own data first.
However, if you already have reliable placement history from similar campaigns, using it can significantly shorten the optimization cycle.
Creatives and Pre-Landers Were Tested Together
The buyer did not rely on a single Push creative.
Multiple combinations of creatives and pre-landers were tested, with the strongest-performing setup eventually receiving more traffic.
This is especially important with Push because the creative acts as the first qualification stage.
A strong Push ad needs to do more than generate clicks. It should attract users who are actually interested enough to continue through the funnel.
Testing several combinations allowed the buyer to identify which message and landing experience worked best before scaling.
From 28.7% to 51.4% ROI
The campaign already reached 28.7% ROI within its first two days.
After the initial data came in, the buyer continued optimizing placements, activity segments, and creatives. The campaign eventually reached 51.4% ROI, while maintaining stable traffic and conversions.
That progression is important.
The campaign was not scaled simply because the first results looked good. The profitable elements were identified first, then more volume was directed toward them.
What Affiliates Can Learn From This Case
A few lessons stand out.
1. Narrow targeting can speed up testing.
Starting with Malaysia, Android, and mobile Push reduced unnecessary variables.
2. User activity levels matter.
High-activity users produced the strongest results, but other segments still had potential.
3. Frequency can affect profitability.
Controlling how often users interact with the same creative helps prevent fatigue.
4. Historical placement data is valuable.
An effective blacklist can reduce wasted spend and accelerate optimization.
5. Test creatives and pre-landers as a pair.
The winning combination matters more than either element in isolation.
Final Takeaway
This campaign shows that profitable Push traffic does not always require weeks of optimization.
With focused targeting, controlled frequency, strong placement filtering, and systematic creative testing, the campaign moved into profit within two days and later increased ROI from 28.7% to 51.4%.
For affiliates testing mobile services or mVAS offers, Malaysia may be worth exploring — but the broader lesson applies to almost any GEO: reduce obvious waste early, test enough creative variations, and scale only the parts of the campaign that prove they can convert.
Case data is based on a campaign originally published by Golden Goose / DCB Hub. Individual results are not guaranteed and can vary depending on the offer, traffic source, targeting, creatives, and market conditions.