Techniques for identifying issues related to digital interactions on websites

1. A method for assessing a website for technical errors in one or more webpages of the website, the method comprising:

obtaining, by a detection system, session information for each of a plurality of previous sessions on the website, the session information for a particular previous session including session attributes of the particular previous session and one or more events that occurred during the particular previous session, each previous session being associated with one or more stages of the website entered into during that previous session;

identifying, by the detection system, a suspect attribute, the suspect attribute being a session attribute associated with one or more events indicating a technical error on the website;

identifying, by the detection system, a plurality of suspect sessions from the plurality of previous sessions based on determining that the previous session includes the one or more events associated with the suspect attribute;

determining, by the detection system, a set of one or more stages, each stage in the set of one or more stages being associated with at least one of the plurality of suspect sessions;

computing, by the detection system based on the plurality of suspect sessions, a suspect conversion rate for each stage in the set of one or more stages;

identifying, by the detection system, a plurality of non-suspect sessions not including the one or more events associated with the suspect attribute;

computing, by the detection system based on the plurality of non-suspect sessions, an expected conversion rate for each stage in the set of one or more stages;

computing, by the detection system, an under-conversion rate for each stage in the set of one or more stages based upon the suspect conversion rate for the stage and the expected conversion rate for the stage; and

determining, by the detection system, a correlation between the suspect attribute and suspect sessions being abandoned based on the under-conversion rate for each stage in the set of one or more stages; and

presenting, by the detection system, the suspect attribute and the correlation to a user so that the user may determine a likelihood of the technical error indicated by the suspect attribute causing the suspect sessions to be abandoned.

2. The method of claim 1 , further comprising:

determining, by the detection system, a drop-off value for each stage in the set of one or more stages, wherein the drop-off value is a number of the plurality of suspect sessions that terminated in the stage;

computing, by the detection system, a missed-conversion value for each stage in the set of one or more stages, wherein the missed-conversion value is computed based upon an average conversion value, the under-conversion rate, and the drop-off value; and

presenting, by the detection system, the missed-conversion value to the user so that the user may identify whether a webpage corresponding to the stage includes the technical error, wherein information corresponding to the under-conversion rate includes the missed-conversion value.

3. The method of claim 2 , further comprising:

identifying, by the detection system, an underperforming stage based upon the missed-conversion value exceeding a threshold, wherein an identification of the underperforming stage and information related the underperforming stage is presented with the missed-conversion value.

4. The method of claim 2 , wherein the average conversion value is calculated based upon an average value for suspect sessions that ended at the stage.

5. The method of claim 2 , wherein the average conversion value is calculated based upon an average value for suspect sessions that converted.

6. The method of claim 1 , wherein the plurality of suspect sessions include a first suspect session and a second suspect session, wherein the first suspect session includes stages that are not included in the second suspect session.

7. The method of claim 1 , wherein the suspect conversion rate for each stage of the set of one or more stages is computed by dividing a number of sessions that progress past each stage by a total number of sessions including the stage.

8. The method of claim 1 , wherein the expected conversion rate for each stage of the set of one or more stages is computed based upon a total number of the plurality of non-suspect sessions and a number of the plurality of non-suspect sessions that included each stage.

9. The method of claim 1 , wherein the expected conversion rate for each stage of the set of one or more stages includes a percentage of users that progress past each stage when the technical error was not encountered on the website.

10. The method of claim 1 , further comprising:

presenting, by the detection system, a replay of a suspect session with a timeline having indicators of events associated with the suspect attribute that are correlated with the suspect sessions being abandoned.

11. A system comprising:

one or more processors; and

a non-transitory computer-readable medium including instructions that, when executed by the one or more processors, cause the one or more processors to:

obtain session information for each of a plurality of previous sessions on a website, the session information for a particular previous session including session attributes of the particular previous session and one or more events that occurred during the particular previous session, each previous session being associated with one or more stages of the website entered into during that previous session;

identify a set of suspect attributes, a suspect attribute being a session attribute associated with one or more events indicating a technical error on the website;

identify a plurality of suspect sessions from the plurality of previous sessions based on determining that the previous session includes the one or more events associated with the suspect attribute;

determine a set of one or more stages being associated with at least one of the plurality of suspect sessions;

compute, based on the plurality of suspect sessions, a suspect conversion rate for each stage in the set of one or more stages;

identify a plurality of non-suspect sessions not including the one or more events associated with the suspect attribute;

compute, based on the plurality of non-suspect sessions, an expected conversion rate for each stage in the set of one or more stages;

compute an under-conversion rate for each stage in the set of one or more stages based upon the suspect conversion rate for the stage and the expected conversion rate for the stage; and

determine a correlation between the suspect attribute and the suspect sessions being abandoned based on the under-conversion rates for each stage in the set of one or more stages; and

present the suspect attribute and the correlation to a user so that the user may determine a likelihood of the technical error indicated by the suspect attribute causing the suspect sessions to be abandoned.

12. The system of claim 11 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:

determine a drop-off value for each stage in the set of one or more stages, wherein the drop-off value is a number of the plurality of suspect sessions that terminated in the stage;

compute a missed-conversion value for each stage in the set of one or more stages, wherein the missed-conversion value is computed based upon an average conversion value, the under-conversion rate, and the drop-off value; and

present the missed-conversion value to the user so that the user may identify whether a webpage corresponding to the stage includes the technical error.

13. The system of claim 12 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:

identify an underperforming stage based upon the missed-conversion value exceeding a threshold, wherein an identification of the underperforming stage and information related the underperforming stage is presented with the missed-conversion value.

14. The system of claim 12 , wherein the average conversion value is calculated based upon an average value for suspect sessions that ended at the stage.

15. The system of claim 12 , wherein the average conversion value is calculated based upon an average value for suspect sessions that converted.

16. The system of claim 11 , wherein the plurality of suspect sessions include a first suspect session and a second suspect session, wherein the first suspect session includes stages that are not included in the second suspect session.

17. The system of claim 11 , wherein the suspect conversion rate for each stage of the set of one or more stages is computed by dividing a number of sessions that progress past each stage by a total number of sessions including each stage.

18. The system of claim 11 , wherein the expected conversion rate for each stage of the set of one or more stages is computed based upon a total number of the plurality of non-suspect sessions and a number of the plurality of non-suspect sessions that included each stage.

19. The system of claim 11 , wherein the expected conversion rate for each stage of the set of one or more stages includes a percentage of users that progress past each stage when the technical error was not encountered on the website.

20. The system of claim 11 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to:

present a replay of a suspect session with a timeline having indicators of events associated with the suspect attribute that are correlated with the suspect sessions being abandoned.