¶ FAQs related to Optimize Setup
This guide provides the recommended methods to follow when setting up Optimize.
¶ Objectives
¶ What if I use a third-party data source?
Currently, we support direct integration with four third-party software programs: Zoho, Singular, Google Analytics, and AppsFlyer. Based on the data source selection, you can choose your desired result and revenue metric.
The selection of metrics should be based on your key objective, which is the metric that will determine performance. Please fill out this form carefully as it helps our AI understand your ultimate goals.
¶ Can I use multiple result metrics?
Currently, we support 1 result metric in the case of 3rd party sources, while in the case of Ad networks, you can choose their respective result metric individually as well, but we need to ensure that the CPR identification is the same across them like it can be website purchases or overall purchases but cannot be clicks and conversions.
¶ How frequently can I switch between 3rd party and an ad network to select the result metric?
If required, you can switch between them, but we recommend at least 15-20 days of gap between switching to help AI learn effectively and ultimately recommend better actions.
¶ If I have different objectives on ad networks, can I use different result metrics for each?
The cost per result is set at the AI group level, and hence, results have to be the same across all platforms. For example, it cannot be clicks and conversions. But, it can be website purchases or overall purchases if CPR is similar across both. A best practice is to keep it the same.
¶ How can I set my desired attribution window?
If you choose ad platforms as your desired data source, you can select from the list of available attribution windows. If you use third-party data sources, AI will automatically consider the attribution window that is being set on that data source.
¶ Optimization Goals
¶ How to know what should be my Target Cost per result?
AI would work best when the targets are practical i.e. close to what the current reality is, we recommended gradually scaling your targets instead of putting up a huge gap in expectation vs reality. The ideal target CPR should be 15-20% lower (in case of scaling up), than the actual CPR. You can look at the last 7-28 days of historical data to observe the average CPR trend and make a calculated decision.
¶ What should be the ideal Target Scale / Results?
Similar to how you decide what your Target CPR should be, you can arrive at Target results. Always revisit your targets once in a while to ensure they are getting adjusted as per the performance updates in your AI group. The ideal target Target Results should be 15-20% higher (in case of scaling up), than the actual result count.
¶ What time frame do I need to consider for Target CPR or Target Results?
We look for the daily Target results while Target CPR is always the average value of the ideal CPR that you would want to achieve on the daily time frame.
While considering what should be your targets, always look at the historical data to understand the targets on a day-to-day basis.
¶ What is the concept of the optimization approach?
AI needs to understand the user priorities in terms of whether it needs to focus more on Scaling the performance or Optimising the Cost. There are currently 2 available approaches:
AI-Driven - If you're uncertain about the most effective strategy for your specific use case, entrusting it to our AI is the way to go. Our AI meticulously analyzes a multitude of variables including historical performance, target objectives, and the potential impact of recommended actions to determine the optimal course for your AI Group. Given that each ad group may necessitate a unique approach for scaling, the AI-driven method stands out as the best practice for achieving optimal results.
Manually - You can decide how much weightage you want to give to the available 2 approaches using the slider. Depending on what your objective is, try to give more weight to the one that aligns better. Available approaches:
Cost First - AI will give more importance to cost optimisation rather than scaling the performance.
Scale First - AI will focus more on performance scaling rather than on optimizing the cost.
¶ How to decide what optimization approach is best for me?
Depending on the brand strategy and account health, you should choose the method that fulfills their requirements in the best possible manner
You can also try out a balanced approach under a Manual or AI-driven approach just in case it’s too early for you to decide what matters more to you.
Our AI meticulously analyzes a multitude of variables including historical performance, target objectives, and the potential impact of recommended actions to determine the optimal course for your AI Group. Given that each ad group may necessitate a unique approach for scaling, the AI-driven method stands out as the best practice for achieving optimal results.
¶ Spend Goals
¶ Can I set up my own Budget Plan?
Yes, you can either choose to have your own Daily Budget plan or let Pixis AI take care of it. Let Pixis incorporate the ad network’s budget plan.
¶ Is Pixis AI capable of handling the budget on its own?
Yes, our AI can decide the optimal daily and overall budgets for you. To achieve the same we incorporate the budget setting from your ad platforms and will use a deviation percentage parameter over it.
¶ What does the Period field refer to while setting up the Budget?
It helps you to decide whether you want to set the budget on a daily level or only for a specific time frame.
¶ Can I set up different budgets for different time frames?
Yes, you can set up multiple budget plans for different time frames.
¶ What is the daily fixed budget?
If in case you wish to define a certain daily budget to ensure tightly monitored spending, our AI can work as per such an arrangement as well.
¶ I am not able to select the date range for a new Budget Plan
You cannot add overlapping Budget planners, in this case, it looks like we have a lifetime Budget planner scheduled that's why it's not letting you select any start date.
¶ Action Levers
¶ What is optimization scope?
Basis the inputs that our AI is receiving, it calculated a score that helps you in understanding the Optimisation scope for your AI Group. The more it is, the more optimization you should witness - suggesting that the existing performance is critical.
¶ How to choose the ideal frequency for Bid/Budget Actions?
We recommend you look for the suggested frequencies over your ad platforms and also to understand how frequently you would want to play with your Bid/Budget values. Always start experimenting with the platform-suggested frequency and then try seeing the impact of other frequencies as well, to know which one works best for you.
¶ What is the lookback period in Creative Rotation?
It is the period that our AI looks into, evaluates the performance, and checks multiple factors such as seasonality, metric level performance, etc to come up with decision making wrt what creatives should run at what time of the day/week to optimize the performance.
¶ What to put in Max test ads, and Max optimised ads under Creative Rotation?
The total number of test ads (new ads) that you want to be active at any given point. New Ads are the ads that have less than 6 days of data in the last 30 days.
The total number of mature ads (ads with enough data i.e. major ads) that you want to be active at any given point. Major ads:- ads having sufficient data and spending more than 5%. Minor ads:- ads having sufficient data but having spends lower than 5%.
Ideally, you should consider the amount of existing ads present in your AI Group and take a fraction of it as per the risk strategy for the performance optimization to start with.
Our AI will gradually move towards the ultimate number of ads you want to be active, as it helps the AI monitor the performance in an optimal manner which ultimately results in better outcomes when compared with the instant scaling approach.
¶ How to decide the Min. Max. % for Bid / Budget actions?
AI needs to know the ideal Min. Max. range of % change that would be acceptable for the users. For ex. If the current Bid/Budget is X$ per day and the user wants to scale up the results by increasing the Budget, AI uses this information to understand the intent magnitude of the user like being aggressive, Gradual increase, etc. The higher the minimum/maximum value you set here, the more aggressive actions appear to be.
Always start with small values like 1-2% minimum and 4-5% maximum and once actions seem to be optimising the performance consistently, then go with an aggressive mindset if required.