wall.click
All solutions

Features

Ad Performance & Analytics

Separate real conversions from fake traffic.

The CTR, conversion rate, CPL and ROAS you read out of Google Ads, Microsoft Ads and Meta are almost certainly contaminated by bot and invalid traffic. The campaign you think is your top performer may actually be your biggest bot magnet.

wall.click labels every click as valid or invalid and presents two side-by-side views: the raw numbers Google shows you, and the real performance after invalid traffic is filtered. The gap between the two fundamentally changes the decisions you make.

What you gain

What you get with this solution

Invalid traffic share

See invalid-click percentages per campaign, keyword and ad group.

Cleaned conversion metrics

CTR, CR, CPL and ROAS computed with and without bot traffic, side by side.

Risk-score timeline

Real-time visibility into which day, hour or campaign is spiking.

Campaign comparison

See clearly which campaigns truly perform and which look inflated by fake traffic.

Historical trend analysis

Track invalid-traffic trends on hourly, daily, weekly and monthly windows.

Export & share

CSV, Excel and PDF export. Periodic email summaries and webhook delivery to your BI stack.

Problem

Google Ads may be showing you a misleading picture

If Google Ads flags clicks as invalid it doesn't bill them — but Google's invalidation criteria are conservative. Industry research suggests Google only catches 30-40% of the real invalid traffic. You pay for the rest and your metrics are calculated on dirty data.

CTR illusion

If a bot network mass-clicks specific keywords, the CTR for that keyword looks fantastic. You shift budget to your "best keyword"; you're actually feeding the bot network more.

Distorted conversion rate

Invalid clicks never convert; CR therefore looks lower than it really is. The campaign you killed for "not working" may have great CR once invalid traffic is removed.

Smart Bidding error

Google's automated bidding strategies (Maximize Conversions, Target ROAS) are trained on bad data. The algorithm focuses on finding more profiles similar to the bots that click — chasing volume instead of quality.

Solution

Which metrics does wall.click show?

Every metric is shown side-by-side on a single dashboard: what Google Ads reports vs. the cleaned reality from wall.click. The gap is the real basis for your decisions.

  • Total clicks vs. invalid click ratio (per campaign / keyword / ad group)
  • Savings from blocked clicks (calculated in your currency)
  • Click frequency distribution per IP
  • Device, browser, OS and geo breakdowns
  • Hourly / daily / monthly trend charts
  • Per-IP risk score and detail page (why was it blocked?)
  • Per-campaign invalid click rate comparison
  • Impact of invalid traffic on ROAS and CPL (currency-denominated savings)

Data

The real impact of invalid traffic on your metrics

Average customer data on wall.click illustrates how much invalid traffic cleanup shifts the metrics:

+18%

Real CTR (after invalid clicks are removed)

Average correction in high-volume campaigns

-24%

Real CPL (cost per lead)

Lead-based campaigns after invalid click cleanup

+41%

Real ROAS

When budget flows only to clicks that truly convert

Seeing both sides of the same campaign changes the decisions you make. The campaign you thought was the best may be the dirtiest; the one you wanted to kill may turn out best after cleanup.

Workflow

How to use it as a decision-support tool

  1. 1

    Which campaigns are clean, which are dirty?

    Sort campaigns by invalid click rate. Anything 30%+ either has wrong targeting or is under a bot attack.
  2. 2

    Base budget shifts on real data

    Increase budget on campaigns that look weak but are clean; pull budget from campaigns that look strong but are dirty.
  3. 3

    Keyword quality audit

    Generic keywords tend to attract more bots. Look at the clean CR of long-tail keywords and reprioritize the list.
  4. 4

    Protect Smart Bidding's training data

    When bot clicks are blocked, Google's algorithms get a cleaner conversion signal; Smart Bidding focuses on real customer profiles.
  5. 5

    Real reports for your leadership

    Answer "why is the CTR so high/low?" with a concrete invalid-traffic report.

Integrations

Compatibility with your BI and reporting stack

Looker Studio

Native connector pushes wall.click metrics into your Looker Studio dashboards.

Power BI and Tableau

Periodic data pulls via REST API; OData or CSV export supported.

Google Analytics 4

Risk score sent as a custom dimension; segment invalid traffic inside your GA reports.

Webhook and Slack

Automatic Slack/email/webhook notifications when abnormal click volume is detected.

FAQ

Frequently asked questions

Doesn't Google Ads already catch fake clicks?
It tries — and doesn't bill for the ones it does catch. The problem is the criteria are conservative; industry estimates put Google's actual catch rate at only 30–40% of true invalid traffic.
Can I analyze historical data too?
All clicks are analyzed and reported from the moment you install wall.click. For backfill, we can import the last 30 days of click logs from Google Ads.
Can I pull data into my own BI stack?
Yes. Pull raw click-level data over REST API, take periodic CSV/JSON exports, or stream in real time via webhook.
Does it clash with Smart Bidding?
No — it makes Smart Bidding more effective. When bot clicks are blocked, Google's algorithm trains on real user signals only and optimizes better.
Can I monitor multiple Google Ads accounts from one dashboard?
Yes. Unlimited accounts on the Business plan; on the Agency plan, white-label multi-client management.

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