@@ -14,10 +14,13 @@ New Features:
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*unconditionally *, without first determining whether the user is
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targeted by a known experiment that uses the event. This may
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increase outbound network traffic.
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- - In Optimizely results, conversion events sent by 3.0 SDKs are
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- automatically attributed to variations that the user has
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- previously seen, as long as our backend has actually received the
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- impression events for those variations.
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+ - In Optimizely results, conversion events sent by 3.0 SDKs don't
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+ explicitly name the experiments and variations that are currently
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+ targeted to the user. Instead, conversions are automatically
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+ attributed to variations that the user has previously seen, as long
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+ as those variations were served via 3.0 SDKs or by other clients
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+ capable of automatic attribution, and as long as our backend
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+ actually received the impression events for those variations.
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- Altogether, this allows you to track conversion events and
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attribute them to variations even when you don’t know all of a
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user’s attribute values, and even if the user’s attribute values
@@ -70,6 +73,10 @@ New Features:
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Breaking Changes:
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~~~~~~~~~~~~~~~~~
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+ - Conversion events sent by 3.0 SDKs don't explicitly name the experiments
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+ and variations that are currently targeted to the user, so these events
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+ are unattributed in raw events data export. You must use the new *results *
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+ export to determine the variations to which events have been attributed.
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- Previously, notification listeners were only given string-valued user
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attributes because only strings could be passed into various method
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calls. That is no longer the case. You may pass non-string attribute
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