Ad Tech

UNICORN by Adways Inc. Fraud Prevention and Future of Advertising

UNICORN partnered with Spider AF to gain independent validation of their fraud prevention measures and add pre-transmission protection via Spider AF's industry-wide Shared Blacklist.

https://www.adways.net/en/service/
Industry
Ad Tech
Company Url
https://www.adways.net/en/service/
Region
Spider AF Product
ROAS improvement
14 days Time to first insight
The Challenge

Budget disappearing with nothing to show for it

MOTA's performance team noticed their cost-per-install was rising sharply — but installs weren't converting to active users. Something was eating their budget.

  • Google Ads campaigns showing high install volume with near-zero in-app activity
  • Meta click-through rates inflated by what appeared to be bot traffic
  • Internal attribution data was inconsistent — impossible to identify the source
  • Monthly ad spend growing without corresponding business results
  • Manual IP blocking too slow and too narrow to make a meaningful impact
Why Spider AF

The only platform built specifically for ad fraud detection

MOTA needed more than a generic analytics tool. They needed a system that understood how click fraud works in performance marketing — and could stop it in real time.

01

Real-time invalid traffic detection

Spider AF monitors every click and impression in real time, flagging bot traffic, click farms, and abnormal patterns the moment they appear — before they drain more budget.

02

Direct Google & Meta integration

Native integrations with both platforms allow Spider AF to feed exclusion lists back automatically — no manual uploads, no lag between detection and action.

03

Transparent fraud reporting

Detailed dashboards give MOTA's team clear evidence of exactly what was fraudulent, how much it cost, and proof of savings — making it easy to justify the ROI internally.

The Approach

From blind spots to full visibility in four steps

01

Connect & audit

MOTA connected their Google Ads and Meta accounts to Spider AF in under 30 minutes. Spider AF immediately began pulling historical click data to establish a baseline — surfacing patterns that had gone unnoticed for months.

02

Identify fraud sources

The platform identified three distinct fraud vectors: click farms targeting their branded keywords on Google, bot-generated clicks on Meta video ads, and a network of spoofed apps generating fraudulent impressions.

03

Deploy exclusion rules

Spider AF automatically pushed IP exclusion lists and audience exclusions to both platforms. Rules were updated daily, keeping pace with evolving fraud patterns without requiring manual intervention from the MOTA team.

04

Monitor & optimise

With clean traffic data flowing in for the first time, MOTA's team could make genuine optimisation decisions. Bid strategies, audience targeting, and creative allocation all improved — because the underlying data was finally trustworthy.

The Results

Campaign performance before & after Spider AF

Valid installs rose while overall spend held steady — a direct result of eliminating fraudulent traffic from the media mix.

Monthly cost-per-install trend (JPY)

Before Spider AF After Spider AF
¥3,000 ¥2,000 ¥1,000 ¥0 Spider AF deployed Jan Feb Mar Apr May Jun
Pre-deployment average: ¥2,840 / install Post-deployment average: ¥940 / install

"We knew something was wrong, but we had no way to prove it. Spider AF gave us the evidence we needed — and then fixed the problem automatically."

Takeshi Yamamoto
Head of Performance Marketing, MOTA
The Outcome

Clean data. Real results. Confidence restored.

Six months after deployment, MOTA's performance marketing operates on a foundation of trusted data — and their results speak for themselves.

With invalid traffic eliminated, MOTA reallocated ¥2.4 million in previously wasted budget to high-performing placements, tripled their ROAS on Google Ads, and built the internal case to double their digital ad investment in the following fiscal year.

Frequently Asked

Questions about Spider AF for performance marketing

Spider AF begins flagging suspicious patterns within hours of connecting your ad accounts. Most customers see their first actionable fraud report within 24–48 hours, and automated exclusion rules take effect immediately once confirmed.

Yes. Spider AF has native integrations with Google Ads, Meta Ads, and many other major ad platforms. Exclusion lists and audience blocks can be pushed to all connected platforms simultaneously from a single dashboard.

Yes — and that's the point. Raw numbers will decrease, but your real metrics (genuine installs, conversions, ROAS) will improve because your budget is now reaching actual humans. Spider AF's reporting helps you explain this shift to stakeholders clearly.

Absolutely. Spider AF is particularly effective for app install campaigns, where fraudulent traffic patterns (such as install farms and click injections) are most prevalent. The platform includes dedicated detection models tuned for mobile app marketing.

There's no hard minimum, but customers typically see the strongest ROI when spending ¥500,000 or more per month on digital advertising. Even at lower budgets, the data-quality improvements can meaningfully change optimisation decisions.

Is click fraud eating your ad budget right now?

Most companies don't know how much they're losing until they measure it. Spider AF shows you exactly where your budget is going — and stops the waste automatically.

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UNICORN by Adways Inc. Fraud Prevention and Future of Advertising

UNICORN partnered with Spider AF to gain independent validation of their fraud prevention measures and add pre-transmission protection via Spider AF's industry-wide Shared Blacklist.

Q. Before we start, please tell us the reason that made you want to start using Spider AF.

Originally at UNICORN, we were proud that we were doing our own countermeasures on the delivery performance basis. But the real reason was that we wanted to see from a third person point of view if those measures really worked.

In addition, because our measures only made judgements on post-transmission performances, it was a good procedure for prevention prior to anything happening. With the idea of Spider AF’s Shared Blacklist (SBL) becoming a reality, we wanted to use Spider AF because by sharing our company’s data, we can help contribute to the development of a safer digital ad industry.

Fraud Prevention Prior To Using Spider AF

(UNICORN Dev Engineers: Mr. Inoue and Mr. Kyo)

Q. What kind of fraud prevention did you do at UNICORN before you using Spider AF?

UNICORN developed an in-house mechanism that automatically detects and eliminates things that do not lead to advertising effects, such as false taps, in order to provide the essential value of advertising from the start. As a result of that, it got connected with fraud prevention. Specifically, on UNICORN:

・Detects abnormal values and excludes them from purchase

・Detection and exclusion of erroneous banner taps

・Exclude unauthorized domains from purchase

・unsafe IP is excluded from purchase

And a variety of other countermeasures.

When Does Ad Fraud Become a Major Problem?

Q. I think that you were using fraud prevention before the term became more common, but when do you think that it became a major problem?

First of all, I think that there has been a major trend change since the main battlefield for advertising has become smartphones.

Before the appearance of smartphones, advertisers spent about $1 for user acquisition (CPA) for general Web membership registration. Naturally, even during that era there were fraudulent web registrations happening that was snatching up advertising revenue, but we didn’t think that it would grow to be such a huge problem later on. Everybody basically just dealt with it on their own.

But, because of the popularity of smartphones and the booming app business, the costs for acquiring users were gradually increasing on the developer side. That was when we felt that the problems caused by ad fraud were also going to expand.

Currently (August/2019) if we were to talk about the market cost for 1 download on the developer side (CPI), it would cost about $10 on a mobile game. If we were to compare future Web registrations, ad revenues for other companies will be high but in addition that would mean that ad fraud can happen on Web registrations in very simple steps. I think that this sort of method has spread so much that it’s being labeled as a societal problem.

Protection Against Sophisticated Ad Fraud

Q. I think that simple fraud such as bots and click farms were very common in the past. But, I think that these last few years we’ve seen more highly sophisticated large scale fraud such as click injection and click flooding. Do you think that there is a necessity to make countermeasures for those types of fraud?

At UNICORN, because we are chasing after data from the ad display those types of large scale fraud almost never occurred. But, if we were to talk about a CPI rewards system in which distributes only the ad link kind of system, those are more prone to be afflicted with ad fraud. Because of that, I think that countermeasures are necessary.

Adways group has an affiliate network called Smart-C which I use to kind of see ourselves as the target of ad fraud, then use Spider AF and try to make efforts to prevent ad fraud.

Q. When you started using Spider AF, what part did you feel particularly impressed with?

We are not particularly aware of trends involving devices and IP so it was great to receive advice on that. Originally I was taking measures against ad fraud by excluding those with strange distribution trends based on the distribution data, but I did not detect ad fraud based on OS, device, and IP distribution trends.

So, it was valuable for us to get advice on an area where measures should be taken. In addition, when I consulted about an area that was suspected to be ad fraud, it was really helpful to get consultation about deducing whether it was ad fraud based on a clear basis.

(Example of Visualized IP segment access distribution on Spider AF Dashboard)

What The Whole Industry Needs To Tackle

Q. Lately the whole ad network industry has had a pretty bad image, but what do you think they should do?

For users, ads with no value are the number one problem. It’s not because these are ads they don’t want to see but as “Info worth viewing”, I think it's important to deliver ads to the right user. UNICORN uses 3D models and AR in addition to video, to create interactive content that interested users can actually see and touch; not just advertisements that display images. We are researching every day to provide opportunities for advertisers and users to communicate.

Q. Please tell us what sets UNICORN apart.

It’s “Soulfulness”.

We are not only pursuing surface level KPIs, but we are always thinking about how advertising should be valuable to advertisers and users. If we can set the distribution by looking at the data 24 hours a day, we are reflecting on the system how it is distributed, how to incorporate human emotions, what is correct, etc. In fact, if business and engineering are not well integrated, I think it would be difficult to create a platform that can provide these intrinsic values. I think that what sets us apart is that we are trying to return value to advertisers and users in this way.

Q. Any closing words?

As a company, the correct way is creating a mechanism where you can make money but providing fundamental value. But nowadays you can also make money through fraud or other grey areas. Simply put, I think that if you are just chasing after profit and continue to turn your back against providing value to advertisers and users, you are just opening the door for the end of advertising as an entity.

In order not to be so, we will continue to transmit value through UNICORN so that fraud such as ad fraud can be eliminated, fundamental advertising value can be pursued, and advertisements can be reborn into a more free and influential presence. I want to do my best.

Thank you very much!

Learn more about Adways’s services, including UNICORN, here: https://www.adways.net/en/service/