Abstract: A computer implemented method creating a benchmark for consumer satisfaction of website or web application performance includes aggregating real user measurement (RUM) data captured from devices of users during sessions on a website or web application, the RUM data including a landing page load time of each user and whether a bounce occurred. The probability that each tenant will bounce is then modeled. Next, an ordered discrete set of lethal dose (LD) values is calculated and the tenants are then filtered for erroneousness. An ordered set of mean LD values is calculated, and that set is reduced to exactly 10m ordered mean LD values. The 10m ordered mean LD values are mapped to a corresponding number of ordered CPI scores ranging from 0 to 100, wherein the mapping results in the benchmark.

Abstract: A computer implemented method creating a benchmark for consumer satisfaction of website or web application performance includes aggregating real user measurement (RUM) data captured from devices of users during sessions on a website or web application, the RUM data including a landing page load time of each user and whether a bounce occurred. The probability that each tenant will bounce is then modeled. Next, an ordered discrete set of lethal dose (LD) values is calculated and the tenants are then filtered for erroneousness. An ordered set of mean LD values is calculated, and that set is reduced to exactly 10m ordered mean LD values. The 10m ordered mean LD values are mapped to a corresponding number of ordered CPI scores ranging from 0 to 100, wherein the mapping results in the benchmark.

Abstract: A computer-implemented method creating a benchmark for consumer satisfaction of website or web application performance includes aggregating real user measurement (RUM) data captured from devices of users during sessions on a website or web application, the RUM data including a landing page load time of each user and whether a bounce occurred. The probability that each tenant will bounce is then modeled. Next, an ordered discrete set of lethal dose (LD) values is calculated and the tenants are then filtered for erroneousness. An ordered set of mean LD values is calculated, and that set is reduced to exactly 10m ordered mean LD values. The 10mn ordered mean LD values are mapped to a corresponding number of ordered CPI scores ranging from 0 to 100, wherein the mapping results in the benchmark.

Abstract: A method for real-time capture and analysis of website performance metrics includes receiving, in each of a plurality of result servers, data values transmitted from a plurality of client devices, each data value representing a measurement of a performance metric associated with an experience of a user on a web page or using a web application, the measurement being made and the data value produced being transmitted in real-time while the user is on the web page or using the web application. For each data value received, a count in one of a set of N data buckets defined in a memory is incremented. All of the counts in each of the corresponding data buckets is aggregated to produce a histogram of the performance metric is rendered on an analytic dashboard.

Abstract: A method for real-time capture and analysis of website performance metrics includes receiving, in each of a plurality of result servers, data values transmitted from a plurality of client devices, each data value representing a measurement of a performance metric associated with an experience of a user on a web page or using a web application, the measurement being made and the data value produced being transmitted in real-time while the user is on the web page or using the web application. For each data value received, a count in one of a set of N data buckets defined in a memory is incremented. All of the counts in each of the corresponding data buckets is aggregated to produce a histogram of the performance metric is rendered on an analytic dashboard.