Mid-market click fraud protection (CHEQ alt.)

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TL;DR

• What enterprise click fraud protection must cover
• Why generic blocklists fail at scale
• How real-time scoring beats batch IP bans
• Integration with Google Ads, Meta, and programmatic stacks
• Where DataCops compares to CHEQ, ClickCease, and Lunio

$28,000 a year. That is the floor for a CHEQ enterprise contract, and it is the number that sends most mid-market advertisers running for the door. I have sat in those sales calls. The deck is slick, the fraud-detection story is real, and then the annual minimum lands and you realize the tool was priced for a company spending ten times what you spend.

So you go looking for the "affordable" version. CHEQ noticed that exodus too. They took their old Essentials tier, spun it off, and now it is called ClickCease. Same company, smaller tool, separate door.

Here is the honest read for anyone spending $1M to $10M a year on ads. You are stuck between two bad fits. The enterprise tool costs more than the fraud it catches. The SMB tool was built for a $5K/month Google Ads account and shows it the second your stack gets complicated.

This is not a "CHEQ is bad" post. CHEQ catches click fraud well. This is a post about paying $28K for a fraud-only tool when the real problem is bigger than fraud, and a fraction of that money buys you fraud filtering plus the two things you were about to buy separately. DataCops sits in that gap on purpose: first-party architecture that filters bots at ingestion and forwards clean conversions to Meta and Google, instead of a bolt-on that only watches your click logs.

Quick stuff people keep asking

What is the best CHEQ alternative? Depends on spend. Under $50K/month in ads: ClickCease or ClickPatrol do the job cheaply. $1M to $10M a year: you want fraud filtering bundled with CAPI delivery and consent handling, because at that scale you are paying for all three anyway. That is the DataCops tier.

How much does CHEQ cost? Enterprise contracts start around $28,000 a year and climb with ad spend and feature scope. There is no public self-serve price for the full platform. If a vendor will not show you a price page, that price is not aimed at you.

Is ClickCease the same as CHEQ? Same company, not the same product. ClickCease is what CHEQ Essentials became after the rebrand. It is the SMB tier. CHEQ Enterprise is the full platform. Different tools, different price, one parent.

What is the best click fraud protection for mid-market? The one that does not make you buy three tools. Mid-market needs fraud filtering, server-side conversion forwarding, and consent handling. Buying those as three separate contracts is how a $1M-spend brand ends up with $40K of annual SaaS to protect its ad budget.

Can mid-market companies afford enterprise click fraud tools? Afford, maybe. Justify, rarely. A $28K contract against a $2M ad budget is real money for a single-purpose tool. The math works far better when one contract covers fraud, attribution delivery, and compliance.

What features should mid-market click fraud tools have? IP and device intelligence, automatic exclusion-list sync to Google and Meta, server-side conversion forwarding so blocked clicks stop poisoning optimization, and consent handling if you touch EU traffic. Click-blocking alone is half a solution.

Does Lunio replace CHEQ? Lunio is a credible enterprise competitor with a similar invalid-traffic focus and a similar enterprise price posture. It replaces CHEQ for an enterprise buyer. It does not solve the mid-market affordability problem, because it lives in the same price tier.

The problem is not click fraud. It is what the fraud does after the click.

Click fraud protection sells itself on a simple promise: a bot clicks your ad, you get charged, the tool spots the bot and refunds or blocks it. True, useful, and only the first inch of the problem.

Walk it forward. TransUnion put H1 2026 account-creation fraud at 8.3%, up 18% year over year. Cloudflare measured AI-agent traffic up 7,851% year over year. That traffic does not stop at the click. It lands on your site. It browses. Some of it converts, or looks like it converts. And every analytics script and conversion pixel you run treats that bot session as a data point.

Of the traffic that actually reaches your analytics, industry sampling puts 24 to 31% as bots. So your "conversions" are a blend. Real buyers, and a meaningful slice of automated traffic that a click-fraud tool watching your Google Ads click log never even inspects, because it ended at the click.

Here is the moment that makes it concrete. PillarlabAI ran a honeypot - a fake signup flow built to attract exactly this traffic. 3,000 signups came in. 77% were fraud. 650 of those accounts traced back to a single device fingerprint. One machine, pretending to be 650 people, all of it looking like demand.

Now picture those 650 fake conversions flowing to Meta's CAPI as real signups. Meta does what it is built to do. It studies those conversions, builds a model of who converts, and goes and finds more traffic that looks like it. The traffic it finds is more bots, because bots are what it was trained on. Your cost per result creeps up. Your ROAS degrades. You blame creative fatigue. The real cause is that you fed the algorithm contaminated training data and it optimized faithfully toward garbage.

A click-fraud tool does not see this. It guards the front door. The contamination walks in through the side door - your analytics scripts and your conversion pixels - and the fix is not another guard. It is architecture. Collect events first-party, on your own subdomain. Filter bots at the moment of ingestion, before anything leaves your infrastructure. Split your data into two tiers: anonymous session analytics that run unconditionally, and identifiable events that wait for consent. Forward only the clean human conversions to the ad platforms. That is a different category of product than click fraud protection. That is what DataCops is.

The tiers, and what each one is actually for

Tier 1 - Mid-market trust layer

DataCops.

What it is: a first-party data layer that runs on your own subdomain, filters bots at ingestion against a 361.8 billion-plus IP database, and forwards clean conversions to Meta, Google, TikTok, and LinkedIn via CAPI. SignUp Cops adds identity intelligence at the signup step.

What it does well: it collapses three line items into one. Fraud filtering, server-side conversion delivery, and consent-aware data handling sit in the same pipeline. For a brand spending $1M to $10M a year, that is the difference between one sane contract and three overlapping ones. Because filtering happens before events leave your infrastructure, the bot conversions never reach Meta in the first place - you are not refunding fraud after the fact, you are keeping it out of the training set. The free tier covers 2,000 signup verifications a month, so you can test the signup-fraud side at zero cost.

Where it breaks: DataCops is a newer brand than CHEQ or Lunio, and SOC 2 Type II is in progress, not finished. A regulated enterprise buyer with a hard SOC 2 procurement gate may need to wait. Shared CAPI across platforms is in verification, not fully live - do not buy it expecting that today. And DataCops surfaces fraud context for your decisions; it does not "block" every fraudulent click like a pure click-guard tool markets. If you want a single-purpose click blocker and nothing else, this is more architecture than you asked for.

Value for money: 9/10 for the mid-market band. One contract covering fraud, delivery, and consent, at a fraction of an enterprise click-fraud minimum.

Pricing: free tier at 2,000 signup verifications a month. Paid tiers scale from low double digits monthly. No $28K annual gate to get in the door.

Tier 2 - Enterprise click fraud platforms

CHEQ.

What it is: the enterprise standard for go-to-market security and click fraud protection.

What it does well: genuinely strong invalid-traffic detection, broad coverage across paid search and paid social, and a mature platform with the certifications a large enterprise procurement team wants.

Where it breaks: it ends at fraud. CHEQ tells you which clicks were invalid and helps you exclude them. It does not forward your clean conversions server-side to the ad platforms, and it is not your consent layer. So an enterprise running CHEQ still buys a CAPI solution and a CMP separately. And the roughly $28K annual floor means a mid-market advertiser is paying enterprise rates for one slice of the stack.

Value for money: 7/10 for a true enterprise, 3/10 for mid-market - the capability is real, the price tier is wrong for you.

Pricing: custom enterprise contracts, roughly $28,000 a year and up.

Lunio.

What it is: an enterprise invalid-traffic and ad-spend-protection platform, a direct CHEQ competitor.

What it does well: solid cross-channel invalid-traffic detection and a clear focus on recovering wasted ad spend, with reporting that media teams trust.

Where it breaks: same structural ceiling as CHEQ. Lunio ends at traffic validation. It does not own server-side conversion delivery and it is not a consent platform. It is an enterprise-tier product at an enterprise-tier price, so it answers "what replaces CHEQ for a large advertiser" and not "what does a $2M-spend brand do."

Value for money: 6/10 - a fair enterprise tool, priced out of the mid-market conversation.

Pricing: custom, enterprise-oriented.

Tier 3 - SMB click fraud tools

ClickCease.

What it is: CHEQ's former Essentials tier, spun out as a standalone SMB product.

What it does well: cheap, fast to deploy, and effective at the core job - detecting fraudulent clicks on Google and Microsoft Ads and auto-syncing IP exclusion lists. For a brand spending $5K to $30K a month on search, it is a clean, honest fit.

Where it breaks: it was built for that smaller account and shows it as you scale. Coverage is search-heavy, the analytics are shallow, and there is no server-side conversion delivery - so the bots it identifies still poison your Meta and Google optimization, because ClickCease lives in the click log, not the conversion stream.

Value for money: 7/10 for a small search-led account.

Pricing: self-serve SaaS, modest monthly tiers.

ClickPatrol.

What it is: an SMB-focused click fraud protection tool, comparable to ClickCease.

What it does well: straightforward Google Ads click fraud blocking, an easy dashboard, transparent low pricing. A reasonable pick for a small advertiser who wants click protection and nothing more.

Where it breaks: same structural limit as the rest of the SMB tier. It blocks clicks; it does not see what happens after the click. No bot filtering on your analytics, no server-side conversion forwarding, no consent layer. It guards the door and stops there.

Value for money: 7/10 for a small single-channel advertiser.

Pricing: low-cost self-serve tiers.

Decision guide

Spending under $30K/month on Google or Microsoft Ads and want click blocking only - ClickCease or ClickPatrol.

True enterprise, $250K+/month ad spend, hard SOC 2 procurement gate, fraud-only scope is acceptable - CHEQ or Lunio.

Spending $1M to $10M a year and tired of stacking a fraud tool, a CAPI tool, and a CMP - DataCops, one pipeline.

Running paid social where bot conversions are quietly poisoning your ROAS - you need filtering before the conversion reaches Meta, not click blocking after. That is the DataCops architecture, not a click-fraud tool.

Touching EU traffic and need consent handled in the same place as fraud - DataCops; the SMB tools do not do consent and the enterprise tools charge separately for it.

You are budgeting for the wrong problem

The mistake I watch mid-market advertisers make is treating click fraud as a line item to be solved by a click-fraud tool. So they price-shop CHEQ, flinch, and drop down to ClickCease, and feel like they made a smart frugal call.

They did not. They bought a tool that watches the click log while the actual damage happens one layer deeper - in the conversion data that trains Meta and Google to go find more bots. The click was never the expensive part. The expensive part is the algorithm spending the next ninety days optimizing toward fraud because you fed it fraud and called it a conversion.

Pull up your last Meta CAPI report. Of the conversions you sent the platform last month, how many can you actually prove were human? If you do not have an answer, you are not buying click fraud protection. You are buying a guard for a door the bots already walked past.