Seatext library / BotRefund evidence

How to Get a Refund for Ad Fraud in Real Estate: A Step-by-Step Process

Real estate advertisers can recover wasted ad spend by documenting bot traffic with client-side evidence, filing disputes through Google's Click Quality team or Meta's invalid traffic process, and using a specialized service like BotRefund...

Built for advertisers who need clear, refund-ready traffic evidence.

Start with the outcome: document, dispute, recover

If you run Google Ads or Meta campaigns for property listings, agent lead generation, or brokerage branding, you are paying for clicks that never turn into showings. BotRefund's case studies show a luxury real estate agency recovered $84,000 in refunded ad spend after proving 33% of their paid traffic was automated. The process works the same for any vertical: capture behavioral proof that a visit was non-human, tie each session to a click ID, and submit that evidence to the platform's refund team.

Step 1: Preserve attribution before you change anything

Do not pause campaigns, swap landing pages, or adjust targeting until you have exported the raw click identifiers (gclid, fbclid, msclkid) and the corresponding on-site session data. BotRefund's investigation workflow stresses that attribution must stay intact so the refund request can point to the exact paid click that produced the bot session. If you alter the campaign first, you lose the chain of evidence the ad platform requires.

Step 2: Install client-side detection that records behavior, not just IP

Platform filters rely on IP reputation and simple heuristics. Modern bot networks use residential proxies that look like real users. BotRefund adds a lightweight script that runs 106 independent checks — including scrollbar width leaks, clean-context iframe traps, pointer tremor analysis, and superhuman input speed — to build a behavioral fingerprint for every visit. Each signal is stored as evidence, not a verdict, and cross-checked against browser, network, and device context before the AI model assigns a 99% confidence score.

Step 3: Run a free bot audit to quantify the waste

Before filing a dispute, know the scale. BotRefund's free audit connects to your Google Ads and Meta accounts, maps the last 90 days of spend, and returns a report showing which campaigns, placements, and keywords delivered the highest bot percentages. The luxury real estate case study showed the agency's top-performing placement by volume was also the highest fraud source — a pattern that only appears when you join ad-platform data with on-site behavior.

Step 4: Export refund-ready reports tied to click IDs

The evidence package must be readable by a Google Click Quality specialist or Meta support agent. BotRefund exports a PDF/CSV that lists every disputed session with: click ID, timestamp, campaign, ad set, creative, placement, device, browser, the 106 signal results, and a session replay link. This format matches what the platforms ask for in their invalid-click dispute forms. You can also send the report directly to your Google or Meta account representative for faster escalation.

Step 5: File the dispute through the correct channel

  • Google Ads: Use the "Invalid clicks" contact form in the Help Center or reply to your account manager with the exported report. Reference the Click Quality team's case number if you have one.
  • Meta Ads: Open a Business Support case, select "Billing and payments" → "Invalid traffic," and attach the same evidence. Meta often asks for a breakdown by placement and creative, which the export provides.

Both platforms review manually. The stronger the behavioral cluster (e.g., zero scroll, <1ms click speed, grid-aligned mouse paths, identical form timestamps), the higher the approval rate. BotRefund's homepage states 83% of customers successfully get a refund.

Step 6: Protect future spend while the dispute is pending

Do not wait for the credit to appear. Keep the detection script active. It continues to flag bot sessions in real time, and you can feed new evidence into an ongoing dispute or open a second one. The script also shields your conversion pixels — preventing bot conversions from poisoning Smart Bidding or Advantage+ optimization — so your algorithms retrain on human data only.

Why real estate campaigns attract sophisticated bot traffic

High-ticket lead values (commissions, property management contracts, mortgage referrals) make real estate a magnet for affiliate fraud, competitor click farms, and publisher arbitrage. Bots scrape listing details, fill lead forms with disconnected numbers, and trigger conversion pixels to inflate publisher payouts. The FTC has even sent consumer refunds for fake rental ads, showing the ecosystem spans both advertiser and consumer harm. For advertisers, the cost is double: wasted media spend and corrupted bidding models that then bid higher on fraudulent placements.

Key facts from BotRefund's real estate case study

MetricResult
VerticalLuxury Real Estate (agency)
Refunded ad spend$84,000
Lift in valid traffic+33%
Detection method106 behavioral signals + AI scoring
Lookback windowGoogle/Meta spend back to 2017
Setup time~1 minute, no credit card

Limitations and when this process does not apply

  • Organic traffic: Refunds only cover paid clicks (Google Ads, Meta Ads). SEO or direct visits are not eligible.
  • Low spend accounts: Platforms may auto-reject disputes under a minimum threshold (often a few hundred dollars). BotRefund's pricing tiers start at under $10,000/mo ad spend.
  • Stale data: Evidence degrades if you wait months. The 2017 lookback is possible only because the script was already installed; you cannot retroactively capture behavior for past periods without prior tracking.
  • Platform policy changes: Google and Meta update invalid-traffic definitions. A refund approved last quarter does not guarantee the same criteria next quarter.

Terminology quick reference

  • Click ID (gclid/fbclid): Unique parameter appended to your landing URL that ties a session to a specific paid click.
  • Invalid traffic (IVT): Clicks or impressions generated by bots, scripts, or deceptive practices — not genuine user interest.
  • Click Quality team: Google's internal group that reviews manual invalid-click disputes.
  • Behavioral fingerprint: The combined output of 106 client-side checks (timing, motion, rendering, network) used to classify a visit as human or bot.
  • Conversion poisoning: When bot conversions feed bidding algorithms, causing them to optimize toward fraudulent placements.

FAQ

How long does a Google Ads refund take?

Typically 2–6 weeks after you submit a complete evidence package. Complex cases or high amounts can take longer. Meta's timeline is similar.

Can I get refunds for spend older than 90 days?

Yes, if you have the click IDs and behavioral logs. BotRefund's system can recover Google and Meta spend dating back to 2017, but only for periods where the detection script was already active on your site.

What if my agency manages the ad account?

The agency can run the audit and file the dispute on your behalf. Ensure the contract specifies who owns the refund credit — some agencies pass it through, others retain it as fee offset.

Does BotRefund replace my WAF or Cloudflare?

No. BotRefund operates at the marketing layer, not the network edge. It keeps your existing CDN/WAF in place and adds the behavioral evidence layer that infrastructure tools do not capture.

What does the free bot audit actually show?

It connects to your ad accounts, analyzes the last 90 days, and returns a campaign-level breakdown of bot percentage, estimated wasted spend, and the top fraudulent placements. No code install is required for the audit itself.

Is there a minimum ad spend to use BotRefund?

Pricing tiers start at under $10,000/mo. Accounts below that can still run the free audit, but the managed dispute service is built for advertisers with enough volume to justify the recovery effort.

How do I know the bot detection isn't blocking real users?

The 99% accuracy claim comes from corroboration across 106 signals, not a single rule. Privacy tools, corporate networks, and unusual devices can trigger individual anomalies; the AI model weighs the full pattern before classifying a visit. You can review flagged sessions in the dashboard before any blocking action.

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