Analyze your results

You have a doubt about the meaning of a data? You are not yet a professional regarding rates? You will become one soon! On this page you will find  all the words necessary to understand and analyze the results of your campaigns. Attribution window The attribution window defines the period of time during which a […]

To access the results page of a campaign, log in to your Kameleoon App. In the sidebar, click on “Activate” and go to your Experiments or Personalizations dahsboard. A search bar allows you to easily find a campaign by entering his name. Filters are also available on the right of the dashboard so you can easily […]

Several options are there to adapt the display of results to your needs. Filter your results, limit them to a particular date range, and choose the type of view of visits and conversions. Filters Use filters to limit the display of results to visitors meeting specific criteria. Among the filtering criteria available, you will find many […]

At the top of the results page, on the right of the web experiment’s main information, there is the page’s general actions menu. The options in the Actions menu allow you to act on the entire results page : Refresh data; Reset data; Stop collection of data; Custom view; Save display settings; Create alerts; Print; […]

At the top of the results page is the main results of your experiment. You will be able to see at a glance which variant of your experiment is considered a winner. The information displayed here depends on the results and progress of your experiment. You may encounter four different situations: It is too early to […]

This article is about Personalization. The main results of your experiment are displayed on the top of the results page. The main results of your experiment are displayed on the top of the results page. The main results of your experiment are displayed on the top of the results page. You will be able to […]

AI Opportunity Detection is an add-on available in two versions: – a premium version that provides enhanced capabilities, including unlimited opportunities and an access to Audiences Analysis. – a freemium version accessible to all customers. The freemium version includes a credit of 3 opportunities, allowing customers to unlock valuable insights for the experiments of their […]

The Cross-Campaign Analysis feature allows to filter and break down test results based on exposure to other experiments. You will be able to automatically detect interaction effects and safely interpret the results of overlapping campaigns.  On your results page, use the Campaign filter/breakdown. It will filter/breakdown your results according to whether your visitors have been exposed to one of […]

The comparative view allows you to compare, on a spider web graph, the goal improvement rates set on the experiment. The comparative view is only available if at least two goals are configured on your experiment. To display the comparative view, click the “Comparative view” tab at the top of the chart area. Choice of […]

The comparative view allows you to compare, on a spider web graph, the improvement rates of the goals set on the personalization. The comparative view is only available if at least two goals are configured on your personalization. To display the comparative view, click the Comparative view tab at the top of the chart area. Choice […]

The graph allows you to visualize the evolution of the different data of the results page over time. The x-axis displays the time scale, the y-axis the value of the data. To view the comparative view, click the Graphs tab at the top of the graph area. View per goal and view per variation The […]

The graph allows you to visualize data evolution over time. The X-axis displays the time scale, the y-axis the value of the data. To get a comparative view, open the Graphs tab at the top of the graph area. View per goal and view per type of audience The display of the graph differs depending […]

The tables of results allows you to consult the details of your results, per variation or per goal. Breakdown and filter tools as well as customized display are there to help you read the results of your experiment. Learn how to use them and you’ll become an expert! The result tables are located at the bottom […]

The results chart allows you to view the details of your results, by audience type or goal. Breakdown tools, filters and customized display are there to help you read the results of your personalization. Learn how to use them and you’ll become an expert! The results charts are located at the bottom of the page, […]

The side panel of the results page allows you to view the settings of the campaign for which you are viewing the results and making changes to it. You will find this panel on the right side of the page. At any time, an arrow allows you to display or hide it. The upper part of […]

Unlike with A/B testing, there is no “variations” for personalization, but “audience types”. We distinguish between: targeted visitors, who correspond to criteria defined in the targeting; exposed visitors, who correspond to the criteria defined in the targeting and to the exposure parameters; non-targeted visitors, who do not correspond to the criteria. Targeted visitors are not all […]

What does the Bayesian method promise you? The Bayesian approach is a different model of thought where instead of considering the parameters we wish to estimate as unknown constants, we model each parameters as a random variable. It takes its name from the Bayes’ rule and it allows us to compute quantities which are not […]

What is statistical significance ? Hypothesis testing One cannot speak about statistical significance without speaking of hypothesis testing. When you launch an experiment within Kameleoon’s platform you want to know if the variation you are proofing is actually improving a certain metric compared to the original version of your site. When you frame this in […]

Kameleoon Visitor Data Model The influence of your campaigns can go beyond the limited framework of a single targeted session (i.e. an individual visit initiated by a user). Thanks to our visitor data model, it is possible to follow this influence over several successive sessions. When a variation is displayed to a user, all conversions […]

What is Sample Ratio Mismatch (SRM)? Sample Ratio Mismatch means that there is a significant difference between the expected deviations of the experiment variations and the observed ones. You are faced with SRM when one variant in your test receives notably more, or less, traffic than expected. This causes traffic to your variation(s) to be […]

Controlled-experiment Using Pre-Experiment Data (CUPED) leverages data on your existing visitors to accelerate time to reliable experimentation and personalization campaign results. Key benefits CUPED allows experimenters to make data-driven decisions faster and with more confidence, provides better estimates for the effect of variations, and reduces the risk of false positive results for tests with fewer […]

Introduction As AB testing practitioners, we benefit from the extensive study of controlled experiments by renowned statisticians over the years. This provides us with numerous effective methods for decision-making. Making decisions with a controlled level of risk is the heart of AB testing but we can sometimes be overwhelmed by names such as “Frequentist” or […]