member area traffic dating offers dating traffic Affiliate marketing Case Study: Achieving Remarkable ROI: Leveraging AdsEmpire Offers on Mirelia Networks Member Area Traffic

Sometimes, the best solutions lie in combining what already works. This case study presents a fascinating example of such synergy. Having worked with AdsEmpire and Mirelia independently, it never occurred to me to blend their strengths… until it became an obvious choice.

The dating niche requires careful handling, and success doesn't come easily, so I didn’t expect instant miracles. However, by uniting the reputable AdsEmpire affiliate network and its exceptional dating offers with the outstanding traffic source of Mirelia's Member Area Display, the potential for success was undeniable. Remarkable results were achieved with time, dedication, and proper testing.

In this case study, I am excited to share my recent accomplishments in promoting AdsEmpire's SOI dating offer through Mirelia's Member Area Display traffic. This approach proved to be a winning combination, driving significant return on investment.

Campaign Details: 

• CPA Network: AdsEmpire
• Offer: SOI Dating Offer
• Offer payout: $2.4
• Traffic source: Mirelia Networks
• Ad format: Banner Ads
• GEO: US
• Period: 22/05/2023 – 29/05/2023
• Costs: $1000
• Total profit: $1350
• ROI: 35%

Dating has always been my primary focus, and while I work across various verticals, it remains my bread and butter. When it comes to promoting dating offers, each location has its unique demands. However, if you want substantial earnings, the US market stands out as the obvious choice – provided you possess a good understanding of dating dynamics and how to execute successful campaigns. Considering my expertise in this area, I made a deliberate decision to concentrate on the US market, leveraging my insights into the preferences and behaviors of the American audience.

Over the years, working extensively with dating offers has granted me deep insights into the activities, likes, dislikes, and preferences of the target audience. This understanding has helped me create campaigns that resonate with them, delivering better results.

For this particular venture, I opted to run Flirt.com as the chosen offer. My decision was based on concrete evidence that it performs exceptionally well when paired with Mirelia Networks' traffic. By combining this offer with a strategic approach to the US market, I am confident in achieving significant success and maximizing my returns.

Since Mirelia's banner ads were available, I aimed to find creatives that seamlessly fit into my marketing funnel and resonate with the target audience's mindset, driving them towards AdsEmpire's flirt.com offer. To begin, I set out to craft compelling creatives. However, I sought guidance from Mirelia's account manager, who suggested using their top-performing banners (judged by CTR) from their default library. Impressed by the selection, I focused on testing these recommended banners.

Encouraged by promising initial outcomes, I decided to further explore placements that had shown the best results in my previous CPM tests – specifically, Top (300x250) and Interstitial (320x480).

Below is an example of the banners I was advised to test:

Furthermore, the account manager provided me with the top-performing landing pages that align with the targeting settings I had selected.

When it came to the general setup, choosing the right device type was crucial. I made a deliberate choice to prioritize Mobile over Desktop, a strategy that has consistently yielded positive results for me in the past.

In terms of audience type, following the account manager's advice, I opted to run a split-test. This involved setting up 4 campaigns, with each campaign testing 2 audience types for every placement. This approach allowed me to gather valuable data and insights to optimize my targeting and improve overall campaign performance.

Campaign performance is influenced by numerous variables, making it challenging to find a one-size-fits-all formula for success. Additionally, each DSP comes with its unique features, traffic sources, and nuances. To achieve optimal performance on Mirelia's DSP, I focused on the following key factors:

1. Pricing (CPM): I selected the CPM model as it provided better budget management and allowed for more precise funnel control through banner setup.
2. Timing Optimization: Recognizing that different GEOs have specific peak performance periods, I carefully timed the boost for each campaign. For example, targeting the US audience during early morning or evening, when they are most likely to engage with dating offers after a long day.
3. Device Targeting: I exclusively targeted mobile devices, as they synergized well with Mirelia's traffic. To maximize reach, I included all operating systems and browsers.
4. Strategic Ad Placement: I strategically positioned my ads in locations that offered optimal viewing angles, ensuring higher visibility and engagement. I ran tests on two different placements – Top (300x250) and Interstitial (320x480).
5. Audience Types: Under the CPM model, three audience types were available – Paid, Not Paid, and All. In pursuit of different approaches and valuable data, I decided to test both Paid and Not Paid audiences.

This approach synergized my understanding of the US audience, precise targeting, and strategic campaign setup, all aimed at maximizing AdsEmpire offers' performance and profitability on Mirelia Networks' Member Area traffic in the US.

The optimization process was initiated when initial results fell slightly below expectations. Instead of making hasty adjustments, a data-driven approach was adopted to gather sufficient information for accurate optimization, leading to improved campaign performance.

The optimization process comprised the following steps:

1. Pausing Underperforming Banners: On the second day of testing, underperforming banners were promptly paused to eliminate non-performing elements and focus resources on more successful ad variations. This step aimed to enhance overall campaign performance by allocating budget and resources more efficiently.
2. Time Zone and Hourly Optimization: To achieve precise targeting, the time zone was adjusted to -5 UTC (New York) to align with the campaign's target audience. Additionally, specific active night hours from 20:00 to 06:00 were selected to increase visibility during periods of heightened user engagement. This approach optimized ad delivery and maximized potential conversions.
3. Bidding Priority and Budget Adjustment: Initially, a higher Bidding Priority was set to accumulate more impressions and fresher traffic for data gathering. However, after a few days, it became evident that the Paid audience was costlier for my particular offer. Consequently, on the fourth day, I adjusted the Bidding Priority to optimize budget spend, while also reducing the daily budget to $50. Along the way, I paused some underperforming banners, keeping only the most successful ones active.

Results: The campaign optimization efforts produced remarkable and positive results, delivering the following key outcomes:

• Costs: $1000
• Total profit: $1350
• ROI: 35%

The campaign achieved a commendable ROI of 35%, showcasing the effective utilization of AdsEmpire offers on Mirelia Networks' Member Area traffic. Although the campaign initially faced challenges, diligent monitoring of performance, data-driven adjustments, and targeted optimization strategies led to a profitable outcome.

In conclusion, affiliate marketing, especially in the dating niche, relies heavily on testing and optimization. The key to success lies in selecting excellent offers from reputable networks and combining them with a reliable traffic source. With dedication to maximizing returns and enjoying the process, working with both AdsEmpire and Mirelia has proven rewarding. Member Area traffic, particularly when paired with high-quality offers like those from AdsEmpire, holds great potential. By maintaining open communication with managers from both sides, identifying what works becomes achievable and contributes to long-term success in this dynamic field.

Share the article