Boosting ROI by 152%: How Fake Lead Protection Transforms Data-Driven Marketing

Fake Lead Protection delivered a 152% ROI improvement for Guidable, transforming their data-driven marketing by filtering fake leads and revealing which keywords and creatives drove real conversions.

https://guidable.co.jp/
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https://guidable.co.jp/
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Spider AF Product
+152% ROI boost
+152% ROI boost
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

Boosting ROI by 152%: How Fake Lead Protection Transforms Data-Driven Marketing

Fake Lead Protection delivered a 152% ROI improvement for Guidable, transforming their data-driven marketing by filtering fake leads and revealing which keywords and creatives drove real conversions.

Guidable primarily operates a job site for foreign residents in Japan.

As contributors to the Japanese economy’s growth, foreign residents play a crucial role in supporting the country’s development. Guidable’s mission is to eliminate any inconvenience they may face due to their nationality. Driven by this vision, Guidable provides services that support foreigners in their work and daily lives.

Recently, Guidable introduced our new service, "Fake Lead Protection." In this article, we explore the key factors that led to a significant ROI improvement of 152%.

We spoke with Mr. Matsui from Guidable’s Marketing Department about the results following the implementation.

Challenges in Guidable’s Advertising Operations

Firstly, could you tell us about your current role at Guidable?

Our company mainly operates a job site targeting foreign residents in Japan. In addition, we run several other businesses, including a job platform for hiring foreign workers with specific skills and a research and promotion support service for foreign audiences.

My primary role in joining Guidable was to increase the number of foreign job seekers. Over two years, I focused on ad operations and SEO, successfully tripling the number of job applications.

Tripling job applications in just two years is impressive! Despite your strong performance, have you faced any challenges?

Yes, we had two major challenges:

  1. Due to the impact of COVID-19, the number of leads and contracts we could secure through traditional sales methods declined.
  2. As market competition intensified year after year, we struggled to differentiate ourselves from competitors.

In the first few years after launching our business, we increased our contracts through inbound leads and sales efforts. However, around 2020, the number of leads decreased due to COVID-19. To solve this, we strengthened our web marketing efforts, focusing on web advertising and SEO.

Initially, when we launched web advertising, there were relatively few competitors in the market, so the cost-per-click (CPC) was not very high. However, in recent years, CPC has been rising by about ¥100 every year.

▼ CPC Trend Chart

With CPC increasing yearly, it must be challenging to acquire more conversions with the same budget.

Exactly. As our competitors increased their ad budgets, we realized that simply improving ad volume and creatives wasn’t enough. We needed a clear differentiator to stay competitive.

Addressing Challenges in Web Advertising, SEO, and CRM Tools

You mentioned utilizing web advertising, SEO, and CRM tools. What challenges have you faced, and how did you solve them?

We focused primarily on web advertising and CRM tool utilization.

One of the key challenges we faced was identifying "successful patterns" in web advertising. Simply running ads and counting valid leads wasn’t enough—we needed to determine which keywords and creatives contributed to actual conversions.

To address this, we integrated our web advertising results with our CRM, analyzing commonalities among leads that converted and exploring the best sales approaches. This data-driven marketing approach allowed us to optimize our efforts.

Identifying where the conversions happen and where users drop off is crucial. How did you define and set key performance indicators (KPIs)?

We made a strategic decision to align our Key Goal Indicators (KGI) across teams.

For example, we unified the KGI of our sales and marketing teams under "contract revenue." Previously, the marketing team focused on lowering cost-per-acquisition (CPA) and increasing lead volume. However, many of these leads had low conversion potential, leading to a disconnect between marketing efforts and actual business results.

By unifying the KGI, both teams aligned their perspectives, making strategy-sharing more efficient and leading to better outcomes.

Aligning KGI across teams sounds challenging, but it’s great to see that it led to real results. Do you use this approach beyond the sales team?

Yes. For our B2C business, we also aligned the KGI between the marketing team and the customer success (CS) team, setting "the number of hires made by client companies" as a shared goal.

Initially, the marketing team’s KGI focused on job applications and CPA, so shifting to "number of hires" was a significant challenge. However, by ensuring that everyone understood the company’s fundamental objectives, we refined our strategies accordingly.

As a result, we gained insights into how to approach repeat clients and which types of job seekers were most likely to be hired. This shift ultimately led to positive business outcomes.

Fake Lead Protection: Strengthening Data-Driven Marketing

You mentioned low-quality leads—were you also seeing fraudulent leads?

Yes. From September to November 2024, we noticed a surge in fraudulent leads from search ads, particularly spam leads from non-target audiences.

The accumulation of these fraudulent leads deteriorated the accuracy of the ad platform’s machine learning, creating a vicious cycle: as fake leads increased, valid business negotiations declined, worsening our lead acquisition cost.

At that time, Spider’s Fake Lead Protection was introduced to us. Within just two months of implementation, we saw significant improvements.

Specifically, compared to pre-implementation:

  • The ad platform’s machine learning normalized.
  • The number of valid leads increased.
  • ROI improved by 152%.

(▼ Additional Explanation of the Following Data)

  • A surge in fraudulent leads from search ads made countermeasures urgent.
  • Spider AF was introduced in December 2024 to tackle fake lead issues.
  • After implementing Fake Lead Protection, fraudulent leads disappeared.
  • As ad platform machine learning improved, Marketing Qualified Leads (MQLs) increased, leading to more effective business negotiations.
  • CPC, which had surged due to search partner ads, decreased.
How did you detect fraudulent leads? What criteria did you use?

We identified fraudulent leads based on two key factors:

  1. A sudden spike in leads from keywords that historically generated few leads.
  2. A rapid increase in leads from overseas audiences outside our target market.

Before introducing Fake Lead Protection, we attempted to filter fraudulent leads through form settings on our landing pages, but this wasn’t sufficient. That led us to adopt Spider’s tool.

The Danger of Relying Solely on Machine Learning

Your results show that Fake Lead Protection significantly reduced fraudulent leads, lowered CPC, and increased MQLs and valid leads. This highlights the importance of quality data for ad platform machine learning.

Exactly. In recent times, machine learning results can fluctuate drastically over short periods (weeks or even a month), making it crucial to take proactive measures.

Final Message from Guidable

Lastly, is there anything you’d like to share with our readers?

In addition to eliminating invalid clicks, it’s essential to focus on acquiring leads that actually convert and improve ad precision. For that, feeding the right data into ad platforms is critical. From this perspective, Fake Lead Protection is a must-have tool.

Lastly, our company operates multiple businesses catering to foreign residents in Japan. If you have any related needs, we encourage you to check us out and feel free to reach out.

https://guidable.co.jp/

Guidable is committed to supporting foreign residents in Japan, ensuring they face no inconvenience due to their nationality, and helping them in their work and daily lives.

We’d love to collaborate when hiring foreign talent! Thank you for the interview!