Navigating through the variety of verticals and formats can be challenging. That's why it's crucial for us to share real success cases from our partners who have worked with different formats and niches. Today, we're focusing on Dating — a vertical full of potential but often puzzling for beginners. Learn from the experience of one of our loyal partners, who generously shared his journey and the results of various strategies in this niche.


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Jaswinder Singh| blogger

In this case study, I will share my experience promoting an offer on a traffic network and the significant success I achieved with Adsterra. This time, I saw massive success by promoting a dating offer that allowed multi-GEOs. Recognizing that Adsterra offered Facebook browser traffic, I focused solely on using that traffic source, specifically targeting Android users. Initially, I started with one GEO and, upon receiving conversions, expanded my campaigns to include other GEOs as well.

Recently, my account manager contacted me about a promising new dating offer. Excited by the opportunity, I decided to set up a new campaign on Adsterra, targeting the German market (DE). The payout ranged from $3 to $6, depending on factors like operating system and age. Here is how I gained all the practical experience I am sharing in this case study. Find all the details below; I hope you find it useful!


Campaign #1

  • Ad format: Popunder
  • Pricing type: CPM
  • Total cost: $43.09
  • Earnings: $247.23
  • ROI: 474.42%.

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Additional information:
  • I decided to target dating traffic using the Facebook browser, and it converted well.
  • The dating offer featured SOI/1-click flow.
  • GEOs: Initially, I started with IT and ES, then expanded to include the UK, USA, and AU.
  • Device: Mobiles (Android) only.
  • I used the recommended bid for some GEOs with low traffic volume. No prelander was used since the offer already included one.
Results

During the campaign, I diligently monitored performance and made necessary optimizations. I paused campaigns that weren't generating conversions in specific GEOs, allowing me to concentrate resources on the most successful areas. This strategy proved highly effective, leading to the following key outcomes:

Total Cost: The overall expense of running the campaign was $43.09, covering the costs of ad impressions served via the Adsterra network.

Earnings: The campaign earned $247.23, a significant result given the starting data. This revenue came from the conversions achieved by promoting the dating offer.

Return on Investment (ROI): ROI is a critical metric for evaluating campaign profitability. It is calculated as (Earnings — Total Cost)/Total Cost. For this campaign, the ROI was 474.42%.

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Campaign #2

  • GEO: DE
  • Formats: Social Bar, Popup
  • Payout: $3 to $6, depending on operating system and age.
For the subsequent campaigns, I decided to opt-in for the SmartCPM bidding model and used Social Bar and Popup ad formats. To better engage the target audience, I created creatives in the local language.

I set up this campaign differently in my tracker by running two separate campaigns. The first campaign was designed to track costs and minor conversions from backup offers such as backbuttons and timeout redirect scripts. The second campaign used a CTA button link on my prelander to gather data and track conversions for the main offer. The image below displays data from the main offer, highlighting conversions tracked from it.

Results

April results:
  • Visits: 7,134
  • Conversions: 344
  • Revenue: $45.190
  • Profit: $45.190
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The image below displays data on backup or backbutton conversions and details from my landing page. I used my own prelander for this offer, which led me to configure two separate campaigns in my tracker. The data presented relates to the main campaign, while the CTA button link on my prelander was part of the secondary campaign.

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Despite encountering some technical challenges, the dating campaigns on Adsterra demonstrated considerable potential. The initial campaign targeting the German market generated some profit but faced external obstacles. In contrast, the follow-up campaign for a different GEO proved to be highly profitable. Additional insights from backup offers and the prelander revealed opportunities for enhancing cost management.

By optimizing carefully and concentrating on the most successful GEOs, I was able to maximize the campaign's effectiveness. The data and screenshots provided highlight the campaign's progress and achievements, underscoring the success made with Adsterra. Overall, the campaigns showed that, with the right strategy and adjustments, Adsterra can be a highly effective platform for both dating and social traffic.