Finance

Saison Fundex: Utilizing Spider AF to Combat Ad Fraud

Within a month of deployment, Saison Fundex recovered enough wasted ad spend through fraud refunds to fully cover the cost of Spider AF.

Industry
Finance
Company Url
Region
Spider AF Product
Reduced ad fraud rate
Reduced ad fraud rate
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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Saison Fundex: Utilizing Spider AF to Combat Ad Fraud

Within a month of deployment, Saison Fundex recovered enough wasted ad spend through fraud refunds to fully cover the cost of Spider AF.

Challenge

In the highly competitive financial sector, Saison Fundex faced high advertising distribution costs. They discovered that a significant portion of their advertising expenses was being wasted due to unnecessary clicks from bots and other ad fraud activities. The company became increasingly concerned about the impact of ad fraud on its marketing efforts and wanted to find a solution to mitigate the losses.

Solution

Saison Fundex decided to adopt Spider AF, an ad fraud countermeasure tool, to address the challenges they faced. The Chief of the Strategy Group in the Customer Development Department, Hirokai Nagai, led the initiative. Spider AF stood out among other options due to the tool’s clear definition and explanation of ad fraud, allowing for a systematic classification of different types of ad fraud. Spider AF also provided detailed information and transparent visualized data, which was crucial for verifying the accuracy of ad fraud occurrences.

Implementation and Results

After implementing Spider AF, Saison Fundex gained complete visibility into the breakdown of ad fraud damage. They discovered that over 6% of their advertising spend was affected by ad fraud, resulting in ineffective ad distribution. However, ad fraud rate significantly improved within a month of adopting Spider AF. Additionally, the company was able to submit reports of the ad fraud information detected by Spider AF to the ad network, resulting in partial refunds of their ad spend.

The refund they received alone covered the cost of implementing Spider AF, demonstrating clear value for money. This had a significant impact on Saison Fundex's business, considering the substantial amount of their advertising budget. The company also discovered a high number of clicks from competitors through Spider AF, allowing them to identify and block inappropriate clicks, and further optimize their advertising campaigns.

Moreover, Saison Fundex found Spider AF to be an easy-to-use tool that seamlessly integrated with their existing media channels. The automated processes minimized additional workload, and the company only needed to send the ad fraud data report to their advertising agency once a month to apply for refunds.

Spider AF has become an essential infrastructure for Saison Fundex's advertising operations, providing ongoing protection against ad fraud and ensuring the efficiency of their marketing efforts. The company plans to continue implementing ad fraud countermeasures consistently to safeguard their advertising expenses and improve overall performance in the competitive financial sector.