Real Estate

How TECROWD Improved Investor Conversion by 1.8× Through Ad Quality Control

By eliminating fraudulent ad traffic, Spider AF helped TECROWD boost investor registration conversion rates by 1.8×, ensuring ads reached users with genuine investment intent.

Industry
Real Estate
Company Url
Region
Spider AF Product
1.8× investor conversion
1.8× investor conversion
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 TECROWD Improved Investor Conversion by 1.8× Through Ad Quality Control

By eliminating fraudulent ad traffic, Spider AF helped TECROWD boost investor registration conversion rates by 1.8×, ensuring ads reached users with genuine investment intent.

Company Overview

TECROWD is a real estate crowdfunding platform operated by TECRA Inc., allowing individuals to invest in real estate from ¥100,000 (approximately $650) per unit. By managing everything from property selection to contract execution in-house, the company makes real estate investing accessible even to first-time investors.

Trust and brand credibility are fundamental to the business. “As an investment service, trust with users is the most important thing,” says Ms. Sugino. “We work constantly to eliminate concerns such as, ‘Is TECROWD really safe?’ so users can engage with confidence

The Problem

In early 2025, the team began experiencing a rapid increase in suspicious inquiries. Around the same time, they were running a high-volume, cross-channel digital advertising campaign designed to expand reach and acquisition.

While delivery volume increased, several critical challenges emerged:

  • Ads appeared on placements that could not be fully monitored or controlled
  • Suspicious traffic and inquiries increased, creating operational strain
  • Fraudulent clicks and conversions risked distorting ad platform learning
  • Advertising performance did not consistently translate into meaningful business results

To mitigate risk, the marketing team manually excluded problematic placements. However, this approach was reactive, labor-intensive, and ultimately unsustainable. Over-excluding placements also carried the risk of reducing impressions and negatively impacting performance.

For a brand operating in the financial and investment space, potential damage to trust and brand image was a serious concern.

“Advertising only has value when it reaches the people who truly need it,” explains Ms. Sugino. “That’s precisely why we could not allow improper ad delivery to damage our brand.”

A scalable way to protect ad quality without sacrificing growth was clearly needed.

The Solution

After evaluating expected impact and cost, the company decided to implement Spider AF, an ad fraud prevention and ad quality control solution.

The decision was driven by several key factors, according to Ms. Sugino:

  • Clear cost effectiveness, with projected fraud reduction exceeding tool costs
  • Automated control of fraudulent clicks, conversions, and placements
  • Improved visibility into where ads were being served
  • Reduced reliance on manual, reactive operations

Before full deployment, the team conducted a trial. The results immediately revealed the true extent of wasted ad spend and fraudulent activity.

During the trial, Ms. Sugino and her team confirmed:

  • A higher-than-expected volume of fraudulent clicks
  • A meaningful percentage of total conversions classified as fraudulent
  • Ads appearing on sites that posed both brand and operational risk

By removing fraudulent data from the equation, the solution enabled optimization and decision-making based on accurate performance signals.

The Results

Following implementation, the company saw measurable improvements across both marketing efficiency and business outcomes.

Most notably, Ms. Sugino reports:

  • The conversion rate from member registration to investor registration improved by approximately 1.8×
  • Suspicious traffic and inquiries were dramatically reduced
  • Ad quality improved as delivery was limited to appropriate, brand-safe placements
  • Marketing decisions became more reliable due to the removal of fraudulent clicks and conversions

“Once fraudulent traffic was removed, our ads began reaching users with genuine investment intent,” says Ms. Sugino. “That directly contributed to the improvement in investor conversion.”

These outcomes aligned closely with the team’s core marketing philosophy: advertising only creates value when it reaches the right people.

Why Spider AF

The solution proved particularly effective for cross-channel campaigns, where manual placement control is inherently difficult.

“Our campaigns span multiple channels, and manually controlling placements has clear limits,” notes Ms. Sugino. “Having that process automated made a significant difference.”

In industries such as finance, where customer trust is a critical asset, ad quality assurance is viewed as non-negotiable.

Looking Ahead

Future marketing efforts will focus on delivering high-quality, relevant advertising to users with strong intent, while continuing to protect brand credibility.

“Our goal is to deliver advertising efficiently and carefully to people who truly need TECROWD,” says Ms. Sugino. “At the same time, we want to remain a brand that people can invest in with confidence.”

Summary

By implementing Spider AF, the company moved beyond reactive fraud countermeasures and established a scalable framework for ad quality control. The result was not only reduced waste and risk, but a direct improvement in investor conversion.

This case demonstrates how protecting ad quality can directly support business growth, especially in trust-driven industries where brand reputation and customer confidence are essential.