Feature Requests

I rarely use the daily budget rule but now I find myself in a situation where I need to do so. I'm currently tasked with tightly controlling the budgets. Upon deep diving in rule, I've noticed that the existing options like baseline budget, min and max budget isn't suitable for me. Let me explain: I have thousands of campaigns each having a different baseline, min and max. I'd need to create a bunch of rules and apply them properly otherwise campaign budgets will be compromised. I can't afford to under budget or over budget campaigns randomly, especially since I'm operating in the supplement niche, which has the potential to spend 10 times more in a day compared to the daily average. Therefore I request that you add the same percentage based limit of daily average ad spend as we have in bidding rules. This way I could ensure that all underperforming campaigns stay under budget while allowing good campaigns to spend more and we could also prevent insane budgeting. Additionally I request customizable look back periods (each rule level) to review average of desired date range and days to observe too to avoid aggressive actions on daily basis.

Could you please add a criteria metric called "Avg Time in Budget" for Budget Rule automation? My goal is to increase the budget only when it frequently runs out, indicating high demand. Additional request: If possible, please also apply this feature to Sponsored Brands and Sponsored Display, as currently only Sponsored Products appear in the budget tab.

Feature similar to Perpetua (Stream) where we can increase/decrease bids by percentage at certain hours instead of turning off campaigns at early hours

If the product is almost out of stock, there's a rule that slows down PPC. If the product is OOS, pause the product variation. If the product is alone, change the campaign name. If the product is not alone, just pause the variation. If the product is bleeding based on rules (0 order, clicks > X) or (Orders <= 2, ACOS > 50%) the pause it.

Feature Request: A Placement Normalizer for bid adjustments beyond Target ACOS Here's the explanation: When applying general bid increaser rules, I often run into overbidding issues especially when campaigns have a high placement (bid multiplier). This leads to higher CPCs and skyrocketing ACOS especially in highly competitive niches like beauty, supplements, pet and other For example: Let’s say I want to increase a bid by $0.10 and set $0.10 bid increment in bid increaser rule. If the campaign has a 500% placement, the final bid increment will technically shoots up to $0.60 — way too high! On the flip side, if I go with $0.02 to be cautious, it barely makes change in my final bid if campaign has no placement. The Solution: A Placement Normalizer would allow us to increase bids by a set amount ($0.10 or any) while normalizing the final bid with campaign’s placement. This way the final bid remains balanced and effective, no matter what placement is applied. Bonus Use Case: Nowadays there's trendy thing about placement, sellers are wishing to eliminate product page placement completely by increasing other placement's % which has taken placement to highest level and this feature will help them too. I believe this feature will be a game changer for those who focus much on placements or who use high placement modifier in their accounts. Plus it’s an optional feature if you wanna use it, you can; otherwise don't utilize. I’d really appreciate your quick consideration of this feature request.

On the Adsinsights > Performance > Keywords > Bulk Edit page, it should be possible to set the current bid based also on the actual CPC and the Break Even Bid.

I've noticed that SI executes one rule on each campaign at a time. This approach is not effective since each campaign has three individual placements and at some moments, each placement might need adjustment. For example, we might need to increase TOS (Top of Search) while decreasing ROS (Rest of Search) simultaneously. Currently, SI executes one rule based on priority which is preventing me from achieving the ideal output for placement rules. I request the SI team to consider each placement individually and allow each placement to be adjusted separately when rules are executed. Example As you can see in the attached picture, if I apply these rules, SI will first execute the product page decrease rule four times to make it 0% then would SI be able to increase the percentage of the rest of the search. I hope this example clarifies the importance of this feature and that you will expedite its implementation.

For our workflow, having SQR metrics selectable in the bidding algorithm would greatly enhance our optimization capabilities.

It is growing marketplace with high potential.