Overview
Now detect, block, and stop any digital ad fraud from fake installs and clicks. The software builds partnerships with the networks, advertisers, SSP, and publishers. This software aims at giving its clients optimum results with protected channels to focus their marketing efforts on it entirely.
Screenshot
Features
- Account Alerts
- IP Address Monitoring
- Keyword Tracking
- Risk Assessment
- Activity Monitoring
- IP Blocking
- Refund Management
- Time on Site Tracking
- AI Scoring
- Account Alerts
- Activity Monitoring
- Ad Tracking
- Analytics / ROI Tracking
- App Ad Monitoring
- Click Fraud Detection
- Google Ads Integration
- IP Blocking
- Install Fraud Detection
- Time on Site Tracking
- URL Builder
- Web Ad Monitoring
Specifications
- Deployment: Cloud Based, Web Based, SaaS Based
Training
- Live Online
- Webinars
- Documentation
Spider AF Users
Available Support
- Phone
Language Support
- English
Company Details
Company Name: SpiderLabs
Headquarter: Japan
Full Address:
Reviews
Each kind of fraud is visualized through scores, so we can see what we need to pay attention to from a glance. CTIT distribution is displayed on a graph, so we can provide concrete evidence against fraud. Since fraud is determined by site IDs, ad terminations can be kept at a minimum. We can take full advantage of the tool thanks to the great amount of support from SpiderAF staff after we introduced the tool.
Not being able to notice anything unless you access the management screen. I think if we could get notifications for when fraud is detected on ads that have a high vulnerability (of ad fraud), it would make the tool easier to use. That’s what we would want to see in the future.
Very user-friendly dashboard. By digging down into SpiderAF’s dashboard, we were able to see the detailed analysis of impressions/clicks distribution, outdated devices, developer’s browsers, etc. then found out which publishers and how they delivered bad traffic. – The customer support team of Phybbit works really effectively. They helped us not only in interpreting the analysis but also in continuously developing new functions based on our requests.
Understanding that it is not easy to measure the viewability but that’s one of the main features that we’re looking for at the moment, so it would be great if they have the analysis of this category.
