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Clicky

1.1K
90
+ 1
26
KISSmetrics

512
184
+ 1
70
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Clicky vs KISSmetrics: What are the differences?

Developers describe Clicky as "Real time web analytics". Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors. On the other hand, KISSmetrics is detailed as "Get actionable metrics for your business". Optimize Your Business and Get More Customers. Identify, understand, and improve the metrics that drive your online business.

Clicky belongs to "General Analytics" category of the tech stack, while KISSmetrics can be primarily classified under "Funnel Analysis Analytics".

Some of the features offered by Clicky are:

  • Free version available
  • Detailed information about every person who visits your web site
  • Highly customizable tracking

On the other hand, KISSmetrics provides the following key features:

  • The basic unit in KISSmetrics is a person. When you view your KISSmetrics reports they show you people, not just aggregate data.
  • Track your person-centric data
  • Our JavaScript allows you to track data right from your website so you can measure your campaigns, discover your referrers and understand marketing attribution.

"Easy setup" is the top reason why over 6 developers like Clicky, while over 24 developers mention "Extremely easy" as the leading cause for choosing KISSmetrics.

ebay, Twilio, and Accenture are some of the popular companies that use KISSmetrics, whereas Clicky is used by Accenture, AskNicely, and 37 Signals. KISSmetrics has a broader approval, being mentioned in 349 company stacks & 30 developers stacks; compared to Clicky, which is listed in 176 company stacks and 11 developer stacks.

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Pros of Clicky
Pros of KISSmetrics
  • 10
    Easy setup
  • 6
    Tons of detail
  • 5
    Cheap
  • 5
    Many features
  • 25
    Extremely easy
  • 18
    See customer actions in real time
  • 12
    Cohort Segmentation
  • 9
    Quickly build Key Performance Indicators for your site
  • 6
    API and multiple libraries in different languages

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What is Clicky?

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

What is KISSmetrics?

Optimize Your Business and Get More Customers. Identify, understand, and improve the metrics that drive your online business.

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What companies use Clicky?
What companies use KISSmetrics?
See which teams inside your own company are using Clicky or KISSmetrics.
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What tools integrate with Clicky?
What tools integrate with KISSmetrics?

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What are some alternatives to Clicky and KISSmetrics?
Google Analytics
Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
Mixpanel
Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.
Matomo
It is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing.
Piwik
Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.
Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
See all alternatives