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Pelican - Revision history
2024-03-28T19:14:50Z
Revision history for this page on the wiki
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https://wiki.prebid.org/index.php?title=Pelican&diff=262&oldid=prev
AdminUser at 23:36, 23 January 2021
2021-01-23T23:36:52Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 23:36, 23 January 2021</td>
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AdminUser
https://wiki.prebid.org/index.php?title=Pelican&diff=261&oldid=prev
AdminUser at 23:36, 23 January 2021
2021-01-23T23:36:27Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 23:36, 23 January 2021</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Impact ==</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Impact ==</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>By improving marketers' ability to attribute credit to more publishers, they will allocate more spend with those publishers. </div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>By improving marketers' ability to attribute credit to more publishers, they will allocate more spend with those publishers. </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Pelican lists impacts to marketers if attribution is impaired:</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Impairing accuracy in attribution will likely lead to lower spend in digital channels overall. </ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Impairing accuracy in attribution will disproportionally impact smaller publishers who do not have the ability to leverage large amounts of first party data about their users.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Impairing accuracy in attribution will shift spend to digital channels that are not impacted by interference with cross-publisher identifiers (such as Search)</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">* Impairing accuracy in attribution will cause marketers to allocate their spend less efficiently, which will increase waste and hence likely result in higher customer acquisition costs, and may in turn be passed on to consumers in the form of higher prices.</ins></div></td></tr>
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AdminUser
https://wiki.prebid.org/index.php?title=Pelican&diff=260&oldid=prev
AdminUser: Created page with "Neustar's Private Learning and Inteference for Causal Attribution (Pelican) provides key market requirements for causal attribution of sequences of exposure across decentraliz..."
2021-01-23T23:31:30Z
<p>Created page with "Neustar's Private Learning and Inteference for Causal Attribution (Pelican) provides key market requirements for causal attribution of sequences of exposure across decentraliz..."</p>
<p><b>New page</b></p><div>Neustar's Private Learning and Inteference for Causal Attribution (Pelican) provides key market requirements for causal attribution of sequences of exposure across decentralized publishers.<ref>https://github.com/neustar/pelican</ref> <br />
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The focus of Pelican is to ensure marketers can continue to provide multi-touch credit for publishers, given other proposals would only support last-click attribution. See [[Private Click Attribution]].<br />
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Causal measurement makes it possible to say how effective advertising is at changing user behavior.<ref>Singh, K., Vaver, J., Little, R., Fan, R. 2018. "Attribution Model Evaluation." https://research.google/pubs/pub46901/.</ref> Operationalizing causal measurement in practice requires not only measuring marketing's impact on a consumer's decision to purchase, but also quantifying the consumer's inherent propensity to convert. <ref>Kelly, J., Vaver, J., Koehler, J. 2018. "A Causal Framework for Digital Attribution." https://research.google/pubs/pub46905/.</ref> <br />
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== Impact ==<br />
By improving marketers' ability to attribute credit to more publishers, they will allocate more spend with those publishers. <br />
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== References ==<br />
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[[Category:Glossary|Turtledove]]<br />
[[Category:Privacy Sandbox|Turtledove]]</div>
AdminUser