MOST IMPACTFUL EXPERIMENTS

1 . A method comprising:

receiving a user specification of a metric associated with operation of an online social networking service;

identifying a set of one or more A/B experiments of online content, each A/B experiment being targeted at a segment of members of the online social networking service;

ranking, using one or more hardware processors, each of the A/B experiments, based on an inferred impact on the value of the metric in response to application of a treatment variant of each A/B experiment to the online social networking service; and

displaying, via a user interface displayed on a client device, a list of one or more of the ranked A/B experiments.

2 . The method of claim 1 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on a site-wide impact value associated with each of the A/B experiments, each site-wide impact value indicating a predicted change in the value of the metric responsive to application of the treatment variant of the A/B experiment to 100 % of a targeted segment of members of the A/B experiment, in comparison to application of a control variant of the A/B experiment to 100 % of the targeted segment of members of the A/B experiment.

3 . The method of claim 1 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on a ramp percentage value associated with each of the A/B experiments, each ramp percentage value indicating a percentage of the targeted segment of members of the corresponding A/B experiment to which the treatment variant of the corresponding A/B experiment has been applied.

4 . The method of claim 1 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on an experiment duration value associated with each of the A/B experiments, each experiment duration value indicating a duration of the corresponding A/B experiment.

5 . The method of claim 1 , further comprising:

displaying, via the user interface, a message user interface element associated with each of the A/B experiments in the list;

receiving a user selection of a specific message user interface element associated with a specific one of the A/B experiments in the list; and

automatically generating a draft electronic message addressed to a user registered as the owner of the specific one of the A/B experiments in the list.

6 . The method of claim 1 , wherein the metric is a number of page views associated with a webpage.

7 . The method of claim 1 , wherein the metric is a number of unique visitors associated with a webpage.

8 . The method of claim 1 , wherein the metric is a click-through rate associated with an online content item.

9 . A system comprising:

a processor; and

a memory device holding an instruction set executable on the processor to cause the system to perform operations comprising:

receiving a user specification of a metric associated with operation of an online social networking service;

identifying a set of one or more A/B experiments of online content, each A/B experiment being targeted at a segment of members of the online social networking service;

ranking each of the A/B experiments, based on an inferred impact on the value of the metric in response to application of a treatment variant of each A/B experiment to the online social networking service; and

displaying, via a user interface displayed on a client device, a list of one or more of the ranked A/B experiments.

10 . The system of claim 9 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on a site-wide impact value associated with each of the A/B experiments, each site-wide impact value indicating a predicted change in the value of the metric responsive to application of the treatment variant of the A/B experiment to 100 % of a targeted segment of members of the A/B experiment, in comparison to application of a control variant of the A/B experiment to 100 % of the targeted segment of members of the A/B experiment.

11 . The system of claim 9 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on a ramp percentage value associated with each of the A/B experiments, each ramp percentage value indicating a percentage of the targeted segment of members of the corresponding A/B experiment to which the treatment variant of the corresponding A/B experiment has been applied.

12 . The system of claim 9 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on an experiment duration value associated with each of the A/B experiments, each experiment duration value indicating a duration of the corresponding A/B experiment.

13 . The system of claim 9 , wherein the operations further comprise:

displaying, via the user interface, a message user interface element associated with each of the A/B experiments in the list;

receiving a user selection of a specific message user interface element associated with a specific one of the A/B experiments in the list; and

automatically generating a draft electronic message addressed to a user registered as the owner of the specific one of the A/B experiments in the list.

14 . The system of claim 9 , wherein the metric is a number of page views associated with a webpage.

15 . A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

receiving a user specification of a metric associated with operation of an online social networking service;

identifying a set of one or more A/B experiments of online content, each A/B experiment being targeted at a segment of members of the online social networking service;

ranking each of the A/B experiments, based on an inferred impact on the value of the metric in response to application of a treatment variant of each A/B experiment to the online social networking service; and

displaying, via a user interface displayed on a client device, a list of one or more of the ranked A/B experiments.

16 . The storage medium of claim 15 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on a site-wide impact value associated with each of the A/B experiments, each site-wide impact value indicating a predicted change in the value of the metric responsive to application of the treatment variant of the A/B experiment to 100 % of a targeted segment of members of the A/B experiment, in comparison to application of a control variant of the A/B experiment to 100 % of the targeted segment of members of the A/B experiment.

17 . The storage medium of claim 15 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on a ramp percentage value associated with each of the A/B experiments, each ramp percentage value indicating a percentage of the targeted segment of members of the corresponding A/B experiment to which the treatment variant of the corresponding A/B experiment has been applied.

18 . The storage medium of claim 15 , wherein the ranking further comprises:

ranking the A/B experiments based at least in part on an experiment duration value associated with each of the A/B experiments, each experiment duration value indicating a duration of the corresponding A/B experiment.

19 . The storage medium of claim 1 , wherein the operations further comprise:

displaying, via the user interface, a message user interface element associated with each of the A/B experiments in the list;

receiving a user selection of a specific message user interface element associated with a specific one of the A/B experiments in the list; and

automatically generating a draft electronic message addressed to a user registered as the owner of the specific one of the A/B experiments in the list.

20 . The storage medium of claim 15 , wherein the metric is a number of page views associated with a webpage.