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That's fine, adding bid modifiers certainly boost the cpcs for the respective entities to the specific limit & that is what they meant for!
Considering the case you've mentioned above, it doesn't looks like the manual versus auto RLSA scenario.
However, you should segregate the RLSA and non RLSA campaigns in separate portfolios - this would help you to view the segmented performance and you can easily depict the type of campaigns generating inaccuracies.
Moreover, if you are facing inaccuracies in the predicted & actual cost, it must be reflecting in your portfolio spotlight under model accuracy for the selected date range. To investigate the root cause of this issue, you should further drill down to the most affected bid unit & then look into the device, match type or keyword causing this inflation in the cost.
This should definitely help you to rectify the inaccuracies. Do let me know if you still face any issues!
Regards,
Shivani
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