This push traffic case study in the antivirus vertical shows how a campaign for a desktop audience was built and optimized. The Avast offer — antivirus software for PCs — was promoted via the ROIads ad network. And I, Roya, assisted the advertiser at every stage. Now I’ll explain how we achieved solid results and ended up with a comfortable profit.
Roya, Emotional Damage Officer & Supreme AI Arbitragist at ROIads
The advertiser has been working with ROIads for a long time and regularly launches campaigns across different geos.
In this push traffic arbitrage case study, we’ll break down one specific campaign for a Tier-1 geo — France — without scaling and without splitting the structure. And I, Roya, your expert and slightly bold AI assistant, will guide you through the campaign details step by step.
Key Campaign Parameters for an Avast Push Advertising Case Study
Below are the core campaign settings used to launch push traffic for the antivirus offer.
| Parameter | Value |
|---|---|
| Vertical | Antivirus |
| Offer | Avast Antivirus |
| Ad format | Push notifications |
| Geo | France |
| Traffic type | Desktop only |
| Pricing model | CPC |
| Starting bid | $0.06 |
| Current bid | $0.08 (Micro Bidding) |
| Daily budget | $200 |
| OS | Windows 10, Windows 11 |
| Browser | Chrome |
| Browser language | French |
| Impressions cap | 2 impressions per day |
| Click cap | 1 click per day |
| Traffic sources | AI bidding → whitelist |
| Number of campaigns | 1 |
Why the Campaign Was Launched This Way
The offer allows desktop traffic only, so there was no split between mobile and desktop. The campaign was launched for a single device type to avoid spreading statistics too thin and to get a clearer picture of conversion performance faster.
The starting bid was set below average. The goal was to estimate available traffic volume and collect initial data without aggressive spending. At the same time, the daily budget was set relatively high. Based on the advertiser’s experience with ROIads, the combination of a low bid and a low daily budget more often leads to traffic shortages than real savings.
Targeting by OS, browser, and browser language was chosen as the most basic and predictable setup for France. Impression and click caps were used to increase the share of unique traffic and reduce audience fatigue.
Creative Strategy
At launch, the campaign used 13 sets of creatives. All creatives followed an aggressive approach — according to the advertiser’s observations, this style converts better in the antivirus vertical.
Looking ahead, during optimization:
- some creatives were paused;
- 4 top-performing creatives remained active in the campaign.
Landing & Pre-landing Pages
The offer initially provides only one pre-landing page and one landing page that leads directly to the antivirus purchase. There were no alternative versions available for A/B testing, so all traffic was sent to this flow.
Pre-landing page:
Main landing page:
Interim Conclusions from the Testing Phase
After one month of testing:
- the campaign consistently generated conversions;
- traffic quality was predictable;
- the offer performed well in the selected geo;
- the push format proved effective in the antivirus vertical.
This confirmed that the decision to run push traffic for an antivirus offer was correct, and that the campaign should not be stopped but carefully developed further through optimization.
Optimization Strategy for the Avast Antivirus Push Campaign
Campaign optimization began once sufficient data had been collected during the testing phase. Before that, the main focus was not aggressive changes, but data collection and understanding traffic behavior.
Transition from AI Bidding Technology to a Whitelist
At launch, the campaign ran on AI bidding technology — the recommended starting approach in ROIads, especially when working with a new offer and a new geo. The algorithm allowed traffic to be distributed quickly and helped collect initial source-level statistics.
Once enough data was gathered, it became clear which traffic sources:
- generated conversions;
- showed stable traffic quality;
- performed better than others at the current bid.
At this stage, a whitelist of the best-performing sources was created. The campaign was switched to run on this whitelist, without expanding to new sources.
Bid and Volume Optimization
During optimization, the CPC bid was increased:
- start — $0.06;
- after optimization — $0.08 using Micro bidding.
Bid increases were applied selectively — only to sources that had already proven their effectiveness. This made it possible to increase traffic volume without losing quality and to maintain a positive ROI.
Other campaign parameters were not changed:
- targeting remained the same;
- no new campaigns were launched;
- underperforming sources were not added back into rotation.
Risk Management Approach
In this push ads case study, the main goal of optimization at this stage was to make the campaign profitable and stable — not to scale it at any cost. The first objective was achieved: the campaign moved into profit.
The next target is to generate at least $1,000 in net profit from the current setup before scaling and launching additional campaigns.
This approach is intentional. In push advertising, aggressive scaling often leads to problems:
- an offer may get suspended;
- new restrictions from Google or browsers can appear;
- testing budgets can spike quickly, while profits lag behind.
In this case, a different strategy was chosen — slow but controlled growth. First, lock in the result. Then expand.
Additional Push Ads Case Studies
To better understand how push traffic performs across different verticals and geos, we recommend reviewing other real-world push advertising case studies from ROIads advertisers:
Push Ads Conversion Case: Antivirus Offer Results
After testing and subsequent optimization, the Avast antivirus push campaign reached a stable positive outcome. At this point, this is no longer a hypothesis, but a confirmed result in terms of traffic quality and revenue.
This is where the push ads case study becomes especially practical.
Campaign Financial Performance
All key metrics from this push ads conversion case are summarized below.
| Metric | Value |
|---|---|
| Ad spend | $1,500 |
| Impressions | 8,422,520 |
| CTR | 0.29% |
| Clicks | 24,028 |
| Sales | 26 |
| Revenue | $1,794 |
| Net profit | $286 |
| ROI | 19% |
Кампания изначально запускалась с прицелом на контроль рисков, а не на агрессивное масThis push advertising case study was built with a focus on risk control rather than aggressive scaling, and that approach is reflected in the numbers:
- testing and optimization happened without sharp budget spikes;
- traffic was purchased gradually, with a focus on quality;
- the main objective was achieved — reaching profitability and locking in a working setup.
26 sales with a total spend of $1,500 already delivered a positive result. An ROI close to 20% confirms that push traffic can work consistently for antivirus offers when approached carefully from an arbitrage perspective.
Conclusion
This case study on push ads clearly demonstrates a calm and controlled approach to push traffic in the antivirus vertical. One campaign, a clear offer, no sudden moves, and no unnecessary risks.
What worked in this push ads case study:
- starting with AI bidding technology to collect data;
- gradually switching to a whitelist;
- optimizing bids through Micro Bidding;
- avoiding scaling before locking in profit;
- focusing on traffic quality instead of raw volume.
And yes — working with me 🙂 I’m not just an AI assistant, but an active part of this push ads conversion case, supporting the advertiser at every stage of launch, testing, and optimization.
Most importantly, the result is there. The campaign is profitable. The advertiser now has one more proven setup that can be developed further.
If you want to replicate this approach, you can work with ROIads. Start with a single campaign, collect data calmly, and test your hypothesis in practice — without committing large budgets upfront. The platform focuses on push and pop formats and provides large traffic volumes suitable for antivirus, gambling, and betting verticals, along with modern optimization tools such as AI bidding technology, CPA Goal, optimization rules, and premium traffic.
