In this gambling traffic case study, we share the story of one of our advertisers who successfully ran a casino campaign in Azerbaijan using push ads on ROIads ad network. The goal was to test two different whitelists and find the most profitable traffic sources for the PINCO Casino offer — and the results speak for themselves.
Push advertising remains one of the top-performing formats for gambling promotions thanks to its high CTR, low CPC, and massive reach. With a clear strategy and strong geo targeting, our client launched two push campaigns on mobile, focusing on recent Android versions and quality traffic from our vetted whitelists.
In this push ads case study for gambling, we’ll walk you through the full funnel: from initial setup to budget planning, optimization, and final results — including conversions, deposits, and ROI. This case is a great example of how smart testing and platform support can lead to measurable success in the gambling vertical. Let’s break down the full story!
The Offer: Promoting PINCO Casino on CPD Model
The promoted offer in this push advertising case study was PINCO Casino — a classic casino offer running on a Cost Per Deposit (CPD) model. The payout was fixed at $50 per first-time depositor, making it a solid choice for affiliates looking to scale with push traffic.
Our client’s goal was to bring in quality leads from Azerbaijan, a mobile-first market with strong engagement in the gambling niche. With a smooth registration flow, localized UX, the offer was ready to convert.
This campaign was all about testing and optimization. Using two separate ROIads whitelists and the power of granular push traffic targeting, the advertiser was able to compare traffic behavior, analyze performance, and optimize for real deposits — not just clicks or registrations.
Ad Campaign Details
Before we dive into performance metrics and campaign optimization, let’s take a closer look at the general setup of this push advertising case study. This campaign was launched to promote a gambling offer in Azerbaijan — a mobile-first geo with a growing interest in online casino platforms.
The advertiser used push ads as the main traffic source and relied on the ROIads platform for campaign management, targeting, and source optimization. The goal was to drive first-time deposits (FTDs) through well-segmented, high-quality traffic under a CPD model.
Here are the key parameters that defined this gambling campaign:
| Parameter | Details |
| Period | February 20 – March 15 |
| Ad Format | Push Ads |
| Ad Network | ROIads |
| Offer | PINCO Casino |
| Vertical | Gambling (Casino) |
| Payout Model | CPD (Cost Per Deposit) |
| Payout Amount | $50 per FTD |
| Target Geo | Azerbaijan (AZE) |
In the next section, we’ll take a look at the exact strategy used to structure the campaign and explain how two separate push ad campaigns were used to test traffic performance across different whitelists.
Creative Strategy: Icons Only, Mobile-First, and Consistent Flow
An essential part of any push advertising case study is the creative approach — and in this campaign, the advertiser made a deliberate choice to go with a clean, mobile-first strategy built around icon-based creatives only.
The reason? This was a mobile-only campaign, and on most mobile devices, push banners are not displayed — only the icon and text are visible. Based on previous experience, the affiliate had also observed that banners rarely had a strong impact on conversion rate (CR) in casino campaigns, especially when the user journey was already optimized.
Creative Approach Summary
- Total creatives used: 5
- Format: Icons only (no banner images)
- Reasoning: Banners don’t show on mobile push traffic
- Text strategy: Focused on short, clear callouts typical for gambling verticals
- Targeted user device: Android 9–15
- Traffic format: Push notifications only
Each creative led to the same pre-landing page, which in turn redirected to the main landing page of the PINCO Casino offer. The funnel was smooth, fast-loading, and required no localization for Azerbaijan — which helped maintain a steady flow of registrations throughout both campaigns.
This simplified yet efficient creative strategy proved that success in mobile push campaigns isn’t always about flashy visuals — but rather, about understanding user behavior, traffic format limitations, and ensuring frictionless conversion paths.
Creative Performance Statistics for Campaign PINCO – AZE – Whitelist[1]:
Creative Performance Statistics for Campaign PINCO – AZE – Whitelist[2]:
Campaign Structure: Testing Two Whitelists with Push Ads
As part of a well-thought-out strategy, the advertiser launched two push advertising campaigns on ROIads with one clear goal: to identify the most profitable traffic source for the PINCO Casino offer in Azerbaijan. This was not just a launch, but a structured optimization test — a key element in this gambling case study.
The ROIads account manager provided two distinct whitelists — curated lists of high-performing placements tailored for the gambling vertical. The advertiser ran both campaigns under nearly identical conditions, changing only the traffic sources and making slight adjustments to OS targeting based on real-time performance.
🎯 Strategy Summary
- Traffic Format: Push Ads
- Platform: ROIads
- Targeting: Mobile-only, Android OS versions
- Geo: Azerbaijan
- Traffic Type: Whitelist (selected by account manager)
- Campaign Objective: Generate FTDs under CPD payout model
- Budget Focus: $100 daily per campaign
Two Campaigns: Key Parameters Comparison
| Parameter | Campaign 1 – Whitelist[1] | Campaign 2 – Whitelist[2] |
| Launch Date | February 20 | March 6 |
| Ad Format | Push Ads | Push Ads |
| Device Targeting | Mobile only | Mobile only |
| OS Targeting | Android 9–15 | Android 9–12, 14 (13 & 15 removed) |
| CPC | $0.12 | $0.12 |
| Daily Budget | $100 | $100 |
| Impression Cap | 1 per user/day | 1 per user/day |
| Click Cap | 1 per user/day | 1 per user/day |
| Traffic Source Type | Whitelist (selected by manager) | Whitelist (selected by manager) |
Why Two Campaigns?
Both campaigns had identical settings — same offer, creatives, bid, and budget — with only one variable: the whitelist used for sourcing traffic. This A/B testing approach allowed the advertiser to measure performance based strictly on traffic quality, eliminating other influencing factors.
The advertiser’s ROIads manager provided two exclusive whitelists optimized for gambling offers. The test setup was simple but effective:
- Whitelist[1] was launched first to measure baseline performance.
- After initial data collection, Whitelist[2] was launched under the same conditions for a fair comparison.
Launch Settings for Campaign PINCO – AZE – Whitelist[1]
Launch Settings for Campaign PINCO – AZE – Whitelist[2]
Optimization Strategy: Smart Traffic Testing for Better ROI
One of the core strengths of this push advertising case study lies in the advertiser’s structured approach to optimization. Instead of launching one general campaign, the affiliate decided to test two distinct whitelists to better understand how traffic source quality impacts conversions and deposits.
Real-Time Adjustments
From day one, the advertiser closely monitored traffic behavior across both campaigns. Several adjustments were made during the optimization phase:
- Android version filtering: While both campaigns initially targeted Android 9–15, versions 13 and 15 were later excluded from Campaign 2 due to weaker performance on that specific whitelist.
- Daily budget pacing: One of the whitelists delivered limited volume and struggled to spend the full budget. The advertiser adjusted the strategy to allow for smoother pacing depending on auction dynamics.
- Campaign pause: The second campaign, running on Whitelist[2], was stopped just four days after launch. The reason? Although traffic volume was high, the conversion to deposit ratio was significantly lower, making continued spending inefficient.
Whitelist Settings for Campaign PINCO – AZE – Whitelist[1]
Whitelist Settings for Campaign PINCO – AZE – Whitelist[2]
📌 Strategic Takeaways
This phase of the gambling case study demonstrates how small yet timely decisions — like source testing and OS filtering — can make a significant difference in campaign profitability. The advertiser didn’t wait for the budget to burn; instead, they optimized early, leaned on data, and shaped the campaign to prioritize long-term returns over short-term volume.
In the next chapter, we’ll break down the full campaign results, including the number of registrations, FTDs, revenue, and final ROI from each push traffic source.
Results and ROI Analysis
The final numbers from this push ads case study clearly highlight the importance of testing, optimization, and traffic quality in gambling campaigns. The advertiser ran two separate campaigns using whitelists provided by ROIads, both targeting mobile users in Azerbaijan with push traffic and the same offer — PINCO Casino on a CPD model with a $50 payout per FTD.
While both campaigns delivered promising engagement, only one source drove consistent deposits, proving the value of precise whitelist segmentation.
Detailed Campaign Performance
| Metric | Campaign 1 – Whitelist[1] | Campaign 2 – Whitelist[2] |
| Impressions | 9,473,280 | 3,225,200 |
| CTR | 0.04% | 0.10% |
| Clicks | 4,150 | 3,133 |
| Cost per Visit (CPV) | $0.1317 | $0.12 |
| Registrations (Leads) | 87 | 67 |
| Cost per Conversion | $6.28 | $5.61 |
| Spend | $546.42 | $375.96 |
⚠️ Note: First-Time Deposits (FTDs) are not visible in the ad network statistics — they were tracked through the affiliate program dashboard. Campaign 1 delivered 20 FTDs, and Campaign 2 brought 5 FTDs.
Total Campaign Outcome
- Total Ad Spend: $922.38
- Total Registrations: 154
- Total FTDs: 27
- Revenue: $1,350
- Profit: $428
- ROI: +46%
💡 What We Learned from the Results
- Campaign 1 (Whitelist[1]) performed best overall, generating both the highest number of leads and FTDs, despite having a lower CTR and limited daily spend due to auction dynamics.
- Campaign 2 (Whitelist[2]), while showing higher CTR and traffic volume, brought fewer qualified users who completed a deposit — emphasizing that volume ≠ quality in gambling campaigns.
- This push ads case study for gambling shows that real profit lies in testing not just creatives or bids, but traffic source quality itself.
- The advertiser achieved a 46% ROI, proving that even moderate budgets can lead to profit when paired with a data-driven strategy and targeted push traffic.
Conclusion
This gambling case study is a clear example of how thoughtful planning, traffic source testing, and a streamlined creative strategy can lead to tangible profit — even with moderate budgets and a competitive vertical like casino.
Through strategic use of push ads, source-level optimization, and mobile-first creatives, our advertiser was able to generate 154 registrations, 27 first-time deposits, and a 46% ROI — proving that with the right tools and support, scaling gambling offers is not just possible but highly rewarding.
What Made This Campaign Work:
- By leveraging ROIads’ high-quality traffic tailored to the gambling vertical and its powerful AI bidding technology, the advertiser was able to maximize performance and optimize costs effectively
- Focusing on mobile traffic and optimizing for Android users
- Using a minimal, effective creative strategy designed for push ad limitations
- Acting quickly based on data — pausing what underperformed and scaling what converted
Whether you’re an experienced affiliate or just entering the gambling space, this case proves that real profit lies in smart testing and continuous optimization. Our advertiser didn’t rely on luck — they relied on data, strategy, and the power of ROIads.
Ready to launch your own success story? Join ROIads today, get access to top-performing push traffic, expert support, and proven tools like Micro bidding. Your next profitable gambling campaign might be just one click away.
