awe.sm Stats Overview

When performance data (i.e. clicks, conversion counts, and conversion values) is combined with the intent data captured when a share action is created, awe.sm provides a deep understanding of the factors that contribute to the most optimal sharing behaviors.

Please review the key concepts before continuing.

Finding Meaningful Data

The awe.sm stats API provides powerful filtering and grouping functionalities of input parameters. By providing information about the sharer, how the link was created, and where the link was shared, successful attributes can be identified through performance stats.

Performance stats can be retrieved on an individual awe.sm link or in aggregate. All values are available as totals within a time period, as well as broken down into hourly, daily, or weekly intervals for graphs.

Stat Individual Link Aggregate
Clicks Supported Supported
Page Views Supported Supported
5 Conversion Counts Supported Supported
5 Conversion Values Supported Supported
Shares Supported
Clicks per Share Supported

Filters

Filters allow retrieval of stats for a subset of awe.sm links based on input parameter values. List of filter parameters

For example, if you wanted stats for URLs shared to Twitter, specify service=twitter . The data could output:

Stat Value
Clicks 57
Shares 27
Clicks per Share 2.111
Goal 1 Count 2
Goal 1 Value 5000
Goal 2 Count 0
Goal 2 Value 0
Goal 3 Count 5
Goal 3 Value 2500
Goal 4 Count 12
Goal 4 Value 600
Goal 5 Count 0
Goal 5 Value 0
Goal Total Count 19
Goal Total Value 8100

Grouping

Grouping allows retrieval of stats with common values within a input parameter. Grouping can be performed on any filterable parameter, though you cannot group and filter on the same parameter simultaneously.

For example, if you wanted stats across all social networks, specify group_by=service . The data could output:

Service Clicks Shares Clicks per Share
Twitter 57 10 5.7
Facebook 30 15 2
Tumblr 120 6 20

Pivots

Pivots allow sub-grouping of link input parameters. Pivots can be performed on any filterable parameter, as long as the parameter is not already filtered or grouped.

For example, if you wanted to know how well various social networks performed within multiple campaigns, specify group_by=campaign&pivot=service .

Service Clicks Shares Clicks per Share
Campaign: SummerBreak
Twitter 57 10 5.7
Facebook 30 15 2
Tumblr 120 6 20
Campaign: SummerClearance
Twitter 12 6 2
Facebook 30 10 3
Tumblr 40 4 10
Campaign: BackToSchool
Twitter 99 11 99
Facebook 77 3 25.667
Tumblr 29 7 4.143
Campaign: Halloween
Twitter 124 18 6.889
Facebook 10 2 5
Tumblr 56 9 6.222

Note: Interval totals are unavailable when using pivot grouping.

Sorting & Pagination

Groups and pivot results can be paginated and sorted by any performance column, ascending or descending.

Last updated 2011-10-26