SaaS

How Mynet Utilized Spider AF to Eliminate Ad Fraud

Fraud investigations that once consumed an entire day were reduced to just minutes, while revealing that 70% of ad deliveries were fraudulent.

Industry
SaaS
Company Url
Region
Spider AF Product
70% of Fraud Detected
70% of Fraud Detected
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.

✓ No credit card required ✓ Setup in 30 min ✓ Cancel anytime

How Mynet Utilized Spider AF to Eliminate Ad Fraud

Fraud investigations that once consumed an entire day were reduced to just minutes, while revealing that 70% of ad deliveries were fraudulent.

Purpose

・Remove ad fraud from the ad network and place ads safely

Problem

・We want to place ads on overseas networks but we feel there is a risk of ad fraud

・Fraud investigations take up a lot of time

Result

・Negotiations with web providers became easier when we could identify ad fraud

・Significantly reduced time to conduct investigations on ad fraud


Q. Please tell us about when you suspected ad fraud

Mr. Shiota: We began suspecting the possibility of ad fraud when we saw an abnormal number of ROAS.

Regardless if the ROAS was great, when sales are not proportionate and revenue were not going up, that’s when we started questioning things.

Q. Before you introduced Spider AF, what kind of fraud protection did you do?

Ms. Tanaka: We would pull out the results log and look at the period between click to installation and used that to detect retention rates. To check on each individual data, we spent an enormous amount of time for fraud investigations.

We detected 70% of all ad fraud during the free trial period.

Q. How did you find out about Spider AF?

Mr. Shiota: We participated in the ad fraud seminar and learned about the free fraud diagnosis and decided to give it a try.

Ad Fraud Seminar

Q. How was Spider AF’s free fraud diagnosis?

Ms. Tanaka: Right when we tried out a diagnosis on a network, around 70% of all deliveries were suspected of being ad fraud. That was when we felt the necessity for occasional fraud investigations on all networks. We would like to do ad placements on overseas networks but at this rate, because we are so at risk of ad fraud, we decided to go with Spider AF.

Mr. Shiota: Because our ROAS was abnormally great, it was by looking through Spider AF that we understood click flooding (method in taking in results from natural inflows)

Investigations for ad fraud significantly decreased from taking a whole day → to taking only a couple of minutes!

Q. What was the deciding factor for going with Spider AF?

Ms. Tanaka: The fact that we could immediately confirm if something was ad fraud on an admin screen and because it’s easy to see what info was suspicious. Because the data is visualized, you can just sense what is fraud from a glance. Up until now we checked with each individual log so it used to take a whole day to analyze, but because of Spider AF, we can just look at the admin screen and it wouldn’t even taken an hour for us to check.

Mr. Shiota: Looking at logs from the terminal or OS versions was abnormally difficult. Also it wasn’t that expensive to introduce so that was also attractive.

Q. How do you use Spider AF?

Ms. Tanaka: Also, in the middle of the month we check on the amount that is to be deducted and move that amount to more effective campaigns, thus using our budget more efficiently.

Blocking ad fraud pre and post implementing Spider AF

Q. I heard that you are using the SDK measurement function for ad fraud, how is that?

Mr. Shiota: Yeah there was also faults that we couldn’t prevent without the SDK measurement function. I think that it’s also important to have measures in place to prevent ad fraud after they have occurred while you are conducting fraud protection on the surface.

Ms. Tanaka: Because of the unnaturalness of the distribution of OS version and devices (weather or not they are Japanese sales terminal), I think post-measures are important since you cannot check if you don’t save the data.

Taking action on ad fraud from the advertisers side

Q. We hear a lot from advertisers that there should be fraud protection for ad agencies and networks but your company has actively tackled that issue. What are your thoughts on that?

Mr. Shiota: I think that ad agencies and advertisers need to cooperate and take measures. Because it’s important for advertisers to properly understand this issue; from the advertisers side, if you do not urge action, then wouldn’t it be difficult to eradicate ad fraud? If you sit down and properly look and analyze the data internally, then you can detect these things.

Q. Please tell us about your plans for using Spider AF, including businesses/services

Ms. Tanaka: Because we can firmly identify ad fraud, we plan on taking on challenges in new mediums. I think we would like to connect all of the know-how we’ve accumulated about ad fraud to a horizontal axis and push growing our games even further

Thank you very much.

Mynet felt the necessity for adopting fraud protection and ultimately introduced Spider AF after participating at our seminar. How about starting with stopping by our seminar and learning about the current ad fraud situation?