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Scikit-learn VS ClickGUARD

Compare Scikit-learn VS ClickGUARD and see what are their differences

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

ClickGUARD logo ClickGUARD

At ClickGUARD, we help Google Ads professionals protect and optimize their campaigns. Our mission is to completely eliminate wasteful ad traffic, beyond click fraud.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • ClickGUARD Landing page
    Landing page //
    2023-05-22

ClickGUARD is the most advanced click fraud protection software designed to stop money-wasting clicks, boost campaign conversions and maximize PPC profits. More than 95% of Google Ads / AdWords clicks never convert, so you deserve better. Don't let Ad / click fraud eat up your PPC campaign budget. With more than 50+ highly integrated and customizable features ClickGUARD builds a firewall around your ads to detect, stops and prevent all illegitimate, invalid money-wasting click fraud.

ClickGUARD

$ Details
paid Free Trial $59.0 / Monthly (ActiveGUARD — designed for small businesses)
Platforms
Wordpress Slack Web
Release Date
2016 October

Scikit-learn features and specs

No features have been listed yet.

ClickGUARD features and specs

  • Proxy VPN detection: Identify, flag, and create block rules based on proxy VPN network detection.
  • GEO location protection: Detect and block clicks from networks outside your targeted continent or specific countries.
  • Time-on-site conditions: Post-click analysis based on the amount of time visitors spend on site after clicking on ads.
  • Click frequency protection: Identify, flag, block and label fraud based on unique click and account entity clicks.
  • Target frequency protection: Campaign, Adgroup, keyword, domain, and landing page based target rules.
  • Conversion based protection: Create rules based on converting or non-converting clicks. Easily eliminate repeated visits that never convert.
  • Invalid click protection: Advanced invalid clicks protection that exceeds default one Google Ads is offering.
  • Click intensity protection: Create rules based on the intensity of clicks on campaigns, adgroups or keywords.
  • Campaign level protection: Create and apply rules to specific campaigns within your account.
  • Keyword level protection: Create and apply rules to specific Keyword clicks within your account.
  • Threat level classification: Set rules to identify, flag and block disruptive click patterns.
  • Bot detection: Detect, identify, and block crawler bot traffic based on signature.
  • AdGroup level protection: Create and apply rules to specific AdGroups within your account.
  • Device level protection: Create and apply rules to specific device type clicks within your account.
  • IP range level protection: Create and apply rules to specific IP addresses and IP ranges within your account.
  • Forensic reports: Google Ads click reporting from more than 40 data-points and associated relational details.
  • Keyword click reports: Keyword object analysis reports with relational flags based on unique account rules.
  • Device tracking reports: Individual device ID tracking and post-click behavior analysis reports.
  • Scheduled summary reports: This is an easy way to get the latest stats from your ClickGUARD account.
  • IP address and IP range reports: IP source reporting data with location, threat & quality stats, including IP ranges with associated IP/ISP history.
  • Placement source reports: Google Ads display network analysis with ad placement quality assessment.
  • On-demand CSV export: At any point you are able to grab an on-demand export of data in the CSV format.
  • Click quality reports: Detailed insight into flagged clicks for manual reviews (and refunds) from Google.
  • Set search campaign click cap: Limit the number of Search clicks every user can perform before being blocked.
  • Organic traffic monitoring: See how are organic visitors behaving on your website.
  • Ad placements whitelist: Whitelist placement domains that should never be blocked by ClickGUARD rules.
  • Custom duration exclusions: Set a default or a custom duration for all blocking and excluding actions.
  • Set display campaign click cap: Limit the number of Display clicks every user can perform before being blocked.
  • Pausing campaigns: In extreme conditions of intensive fraud activity system can automatically pause campaigns.
  • IP address whitelist: Assign a list of IP addresses that should never be blocked by ClickGUARD's rules.
  • Manage audiences of converters: Prevent converters from clicking on your ads for a custom time duration or for a specific set of campaigns.
  • Website platform integrations: Easy installation and integration with most dozens of Web / CMS platform.
  • Email and Slack notifications: Receive the most important notifications directly to your email or Slack in real-time.
  • WordPress plugin: Native WordPress integration for fast and easy direct tracking code deployment.
  • Custom flagging: Flags clicks that trigger custom rules as a result of blocking actions.
  • Aliases tags: Assign aliases to common IPs, placements, devices, and other entities.

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

ClickGUARD videos

Click Fraud Protection for Google Ads by ClickGUARD

More videos:

  • Review - The SINGLE Most Valuable Tool for Anyone Looking to Stop Click Fraud
  • Review - ClickGUARD review: We found that we were actually saving money

Category Popularity

0-100% (relative to Scikit-learn and ClickGUARD)
Data Science And Machine Learning
Fraud Detection And Prevention
Data Science Tools
100 100%
0% 0
Fraud Prevention
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit-learn and ClickGUARD

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

ClickGUARD Reviews

We have no reviews of ClickGUARD yet.
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Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 8 days ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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ClickGUARD mentions (0)

We have not tracked any mentions of ClickGUARD yet. Tracking of ClickGUARD recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit-learn and ClickGUARD, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

ClickCease - ClickCease is a click fraud detection and protection solution.

OpenCV - OpenCV is the world's biggest computer vision library

TrafficGuard - Triple layered ad fraud protection for brands, agencies and ad networks.

NumPy - NumPy is the fundamental package for scientific computing with Python

Clixtell - Clixtell is a world leader in providing cutting edge solutions for call tracking & analytics, detecting & preventing Google Ads & Bing Ads click fraud activity and website video recording.