🚀 Up to 50% ROI and Thousands of Leads: A New India Case Study
Hi there! Push.House here.
Our partners’ success is our top priority. That’s why, in addition to regularly upgrading the features of our ad network, we also announce limited-time discounts on traffic from top GEOs—to help you consistently hit your marketing goals.
Today, we’re excited to share a case study from one of our partners who took full advantage of a 30% discount on all India traffic, available from June 23 to July 23, to profitably scale their campaigns and reach a new level of earnings.
Check out the case, apply the tips to your own launches, and maximize your conversions with Push.House!
Offer Selection
This partner has been working with our ad network for a long time and is familiar with other products within our holding. For this campaign and future scaling, they chose a dating offer from CPA.House:
Social Network Mixer Regions Fix – CPL.
When launched, the partner program’s algorithm automatically selects relevant offers—such as dating websites, mobile apps, 18+ games, and other dating-related formats.
If the GEO in question has restrictions on the number of dating offers or available budget, the algorithm will automatically switch to other offer categories that are most likely to generate profit.
Why Social Network Mixer Regions Fix – CPL?
- Dating offers traditionally show high conversion rates in India
- The algorithm automatically selects the most profitable combinations for monetization
- Simple conversion flow and a user-friendly funnel
- The CPL model allows for predictable ROI and easy campaign scaling with minimal risk
Campaign Setup
The main focus of the campaign was India, with targeting configured specifically for key major cities where the bulk of the target traffic is concentrated.
- GEO: All of India
- The Indian audience is highly active on dating sites, dating apps, and similar services, making this region especially suitable for launching dating offers.
City-Level Targeting:
The campaign focused on major Indian cities with the highest volume of target traffic:
- Mumbai
- Delhi
- Bangalore
- Chennai
- Kolkata
- Pune
- Ahmedabad
The initial bid was set according to the platform’s recommendations.
The final CPC value was adjusted slightly below the suggested rate to allow for more flexibility during optimization.
Devices: Mobile
The Indian audience is highly engaged with dating apps and websites, and consistently shows strong interest in such offers—making them especially in-demand in the region.
With a 30% discount on Indian traffic, selecting this GEO for campaign launch was an obvious choice, allowing the partner to access a high volume of quality traffic at a significantly reduced price.
Browsers: Chrome, Safari
These two browsers lead in terms of user share across India.
Targeting them ensured maximum reach among solvent, high-converting audiences.
Operating System: Android
Focusing on Android enabled the campaign to reach the majority of users in India, where Android dominates mobile internet access.
This ensured a steady, unrestricted traffic flow across devices.
Timing: All Days, All Hours
The campaign was launched with no restrictions on time or day, allowing data to accumulate freely for optimization.
Format: In-Page Ads
To run this offer in India, the In-Page ad format was selected for its proven effectiveness. Here’s why:
- Maximum visibility
Ads appear directly within the page content, ensuring high CTR without aggressive interruption. - Perfect compatibility with India’s mobile traffic
In-Page is optimized for mobile, loads quickly, and displays flawlessly across devices. - Higher conversion rates
Because ads appear as native parts of the site content, users perceive them as more trustworthy—leading to a higher likelihood of registration. - Minimal risk of ad blocking
In-Page ads are subtle and browser-friendly, reducing the chances of being blocked. - Ideal for CPL offers
Since the target action is a registration or install, this format’s strong visibility and user-friendliness contribute directly to a higher conversion rate.
Ad Schedule
At launch, all days and hours were enabled to allow unrestricted delivery and faster learning.
Campaign Results
In total, 3 advertising campaigns were launched using the strategy described above. Each campaign used different creatives and landing pages. Over the course of 11 days (June 24 – July 3), the partner achieved the following results:
Campaign 1
- Clicks: 568,712
- Impressions: 107,094,409
- CTR: 0.531%
- Leads: 3,887
- ROI: 49.38%
This campaign was launched using a whitelist, resulting in a high traffic volume, a strong CTR of 0.531%, and an excellent ROI of nearly 50%.
These metrics indicate well-targeted traffic and high lead quality. The campaign is still active and continues generating leads.
The advertiser plans to scale gradually by increasing bids on the top-performing placements.
Campaign 2
- Clicks: 1,081,023
- Impressions: 153,473,108
- CTR: 0.704%
- Leads: 5,357
- ROI: 42.14%
This campaign was launched using a blacklist and delivered the highest CTR (0.704%), click volume, and lead count among all three campaigns.
While ROI decreased slightly to 42.14%, the results remain strongly profitable.
This campaign also remains active and can be confidently scaled, especially if CPL auto-rules are applied during optimization.
Campaign 3
- Clicks: 80,328
- Impressions: 8,528,540
- CTR: 0.942%
- Leads: 573
- ROI: -27.23%
Despite the highest CTR at 0.942%, this campaign ended up unprofitable with a -27.23% ROI.
This suggests that the traffic may have originated from cheap but low-quality sources, or that there were issues in the offer or landing page configuration.
It’s also possible the landing page itself has a low conversion rate despite attracting a good number of clicks.
To correct this, it’s recommended to:
- Conduct a detailed traffic quality audit
- Identify and exclude underperforming placements
- Check that the landing page works flawlessly across all target devices and operating systems
- Test new creatives or offer + creative combinations to improve the conversion rate (CR) and bring the campaign into positive ROI territory
To address the performance issues and boost overall ROI, the partner implemented auto-rules for optimization.
Optimization
To improve campaign performance, the partner configured two automated rules:
Rule #1:
If a placement spends more than $0.10 but generates fewer than one lead, it is automatically added to the blacklist.
This check runs every 24 hours.
Rule #2:
If a placement’s ROI is below 0.1%, but it has generated more than one lead, it is automatically added to the whitelist.
This check also runs every 24 hours.
Why This Matters
This level of automation allowed the partner to:
- Cut costs by eliminating irrelevant, non-converting traffic sources
- Scale up efficiently by reinforcing top-performing placements
- Save time previously spent on manual analysis—freeing up resources to launch new campaigns faster
Final Thoughts
This case study is a clear example of why India remains one of the most promising and profitable markets for ad campaigns in Summer 2025—especially when paired with reliable offers like Social Network Mixer Regions Fix.
With precise city-level targeting, a focus on mobile devices and popular browsers, the use of a high-visibility In-Page ad format, and smart automation through auto-rules, our partner at Push.House was able to achieve consistent positive ROI and successfully scale their campaigns.
Ready to Replicate This Success?
Hurry—our 30% discount on all India traffic runs only from June 23 to July 23.
Don’t miss your chance to tap into one of the world’s most active and high-converting markets.
Launch your India campaigns with Push.House today and start achieving maximum profits with minimum costs!
