Fighting Click Fraud in Ticketing: $14.8K Saved in an Opaque Ad Landscape

By blocking fraudulent clicks — 80% traced to data centers — P1 Travel recovered $14.8K in wasted ad spend and saw consistent ROAS improvement across global campaigns.

https://p1travel.com/
Industry
Company Url
https://p1travel.com/
Region
Spider AF Product
$14.8K ad spend saved
$14.8K ad spend saved
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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Fighting Click Fraud in Ticketing: $14.8K Saved in an Opaque Ad Landscape

By blocking fraudulent clicks — 80% traced to data centers — P1 Travel recovered $14.8K in wasted ad spend and saw consistent ROAS improvement across global campaigns.

Introduction

P1 Travel (https://p1travel.com) is a global ticketing company that sells access to some of the world’s biggest events—from Premier League matches and Formula 1 races to concerts at Wembley Stadium. With a heavy emphasis on performance marketing, the team behind P1 Travel operates in one of the most competitive and fast-paced advertising environments: global sports and entertainment.

At the heart of it all is a small but mighty marketing team — including Marco, who recently stepped down as Digital Marketing Lead in June, and Tjardo, now taking the reins over Communications following Marco’s handover.

The pair runs global ad campaigns, where the risk of ad fraud and wasted spend increases exponentially. They noticed a discrepancy between clicks reported by ad platforms and those visible in Google Analytics, leading them to suspect invalid traffic.

Initial Engagement with Spider AF

“We were increasingly struggling with our budget. CPCs are really going up on Google and pretty much on all channels. Especially with Performance Max and Demand Gen campaigns, the gap between the clicks reported by the platforms and what you actually see in GA is also really big.”

“We advertise worldwide, and you can’t just exclude certain things or certain countries, so you run more risk of fraudulent clicks and a lot of waste on your ad spend. That’s where Spider can help.”

- Did you have any particular issues you hoped Spider AF would help you solve? What were your expectations?

 “So we felt like there was something going on with traffic that wasn't real. We were looking for a tool that could give some insight into that.”

- What do you consider to be your main KPIs when determining the performance of an ad campaign?

While their primary goal is to sell out events, they also focus on hitting their ROAS targets and staying within budget.

“The most important one is always the ROAS of our campaigns. We also always look at sub-metrics like conversion rate and average order value.”

Experience with Spider AF

- Upon starting the trial with Spider AF, what was your initial impression? Were there any insights that stood out to you in particular?

“Communication went well—short lines, easy contact. And the tool itself I found just very... I don’t want to say basic, but very clear. So if you don’t want to dive in deep, you can still quickly see high-level figures. And if you do want to go deeper, that’s also possible.”

- Since starting with Spider AF, you were able to avoid $14.8k in wasted ad spend; has this had any impact on your business/marketing campaigns?

“While it's difficult to identify it due to so many variables, especially in our market, we have seen a consistent improvement in ROAS since integrating Spider AF.”

▼ Graph of Monthly Cost Saved from Fraudulent Clicks Jan - May 2025

Ad budget cost savings per month from blocked fraudulent clicks after Spider AF integration

- Did you notice any quantifiable improvements?

“To double-check, we looked at what IP addresses are being excluded, and you really do see that it’s fraudulent traffic. So we are spending the budget more efficiently.”

- How do you feel about these changes?

“Our business is very demand-based, so whether ROAS is affected is hard to say, but we do see that it’s stopping fraudulent traffic, so it must be having an effect.”

- According to your dashboard, 80% of fraudulent clicks have come from data centers. What was your takeaway from this learning?

“Yeah, we kind of expected that, actually—especially in our business with tickets. There’s a lot of competition that either wants to sabotage your campaigns, drain your budget, or just scrape prices or comb through your website. So it was actually a fairly expected outcome.”

Additional Benefits

- Were there any unexpected benefits or changes as a result of using Spider AF?

“Our data team has now also included the data Spider AF provides—about whether traffic is a bot or fraudulent—into our Power BI dashboards. So now we can also see spikes in that kind of traffic. That was a nice bonus.”

Future Plans

- What pain points or key improvements do you anticipate now that Spider AF is implemented?

“I think the next step might be to further fine-tune, and maybe look into whether G-masking can be broken down further. I don’t know if it’s possible to have different categories within G-masking, because now it’s all lumped together, but maybe there’s still some room for optimization there.”

Feedback and Suggestions

- Which part of Spider AF or our support services do you find most valuable and beneficial?

“What I found most valuable was being able to clearly see which clicks were blocked and why — not just a total count, but the actual reasoning. For example, seeing that a visitor claimed to be from the UK but was actually coming from Singapore. That kind of detail — IP, location, and trigger reason — was really insightful.”

“As Tjardo mentioned, maybe G-masking could be split out more clearly. But what really stood out for me was getting a transparent view of how each platform performs when it comes to bot traffic. It was honestly surprising to see that almost no bot traffic comes from Facebook. It’s really just Google — which also happens to be our biggest channel.”

- Are there any features or functionalities that you would like to see added to Spider AF in the future?

“I had the impression that the date range only goes back two months, I believe. I’d definitely find it interesting if we could go back 6 months or a year from our end.”

Additional Challenges

- Aside from fraudulent clicks, are there any other challenges or issues in your digital campaigns that you would like assistance with?

“Yes, definitely.... It’s more about the constant evolution of Google’s black box. You get less and less insight into things like keywords and search terms that trigger your ads.”

“I’m not sure if that’s something Spider AF can help us with directly, since it’s part of a bigger issue — how everything in Google and other PPC platforms has become a black box. But by blocking fraudulent clicks, Spider AF does make things a little less opaque. So that’s definitely an area where we value any help we can get.”

- Thank you for taking the time to speak with us today. We look forward to continuing to support your endeavors!

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