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Resolve performance fluctuations and changes in iOS campaigns

In this article, you’ll learn the common factors that cause iOS campaign fluctuations and changes, why they may lead to changes in campaign performance over time, and how you can use the tools in your Google Ads account to understand what’s driving these changes.

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Before you begin

Ensure your Google Ads iOS campaign adheres to the recommended best practices as detailed here. Following these guidelines is crucial for optimizing campaign performance, maximizing return on investment, and ensuring efficient ad delivery.


Bid targets and budget

Editing any account or campaign settings, such as bid strategy, bid and budget adjustments can affect campaign performance. Bid and budget changes can cause your app campaign’s spend to shift within networks such as Search, YouTube, and the Google Display Network to align with your campaign’s goal.

Where can I check bid targets and budget fluctuations?

You can view the bid and budget changes in the Change History within your Google Ads account. Segment your campaign by "Network" to observe shifts across various networks.

What can I do to resolve bid targets and budget fluctuations?

Allow a period of up to 2 weeks after these adjustments for the campaign performance to stabilize.

Fluctuations in SKAdNetwork

Fluctuations in SKAdnetwork can cause fluctuations in your campaign’s spend and conversions.

Where can I check SKAdNetwork fluctuations?

You can learn how to check SKAN reporting in Google Ads for any fluctuations. You can change from a table view to a timeseries line chart to visualize the fluctuations.

What can I do to resolve bid targets and budget fluctuations?

iOS conversion modeling can take up to 7-10 days to adjust to SKAdNetwork fluctuations. Take the adjustment period into consideration regarding your campaign’s spend and conversions.

Campaign in learning phase

A campaign enters a learning phase in the initial period after it’s created or significantly changed. This is when the Google Ads system is adapting to optimize performance. Examples of significant changes:

  • New strategy: When you start using a new bid strategy such as Maximize Conversions, Target CPA.
  • Setting changes: When you modify settings like bids, budgets, or targeting.
  • Spend shifts: When spend shifts significantly between different networks.
  • New campaign: When a new campaign is set up or an existing campaign is paused and resumed.

What can I expect when the campaign is in the learning phase?

Performance fluctuations (e.g. spend changes) can happen following these changes. The system is trying to find the optimal bids to achieve your goals. This is expected as part of campaign optimization. For new campaigns, we recommend running your iOS campaign for at least two conversion windows or 30 days, whichever is longer. Additionally, allow a period of up to two weeks after each significant change for conversion modeling to learn from the campaign's behavior.

Fluctuations in deterministic signals

Review your iOS app's ATT consent prompt and on-device measurement settings for significant SDK changes. Sparse data or disrupted deterministic signals can affect campaign spending and conversions. If you’re bidding on In-app action or In-app action value, we encourage you to prompt for ATT consent and/or implement on-device conversion measurement to enable optimal performance. If you don’t plan to implement the ATT consent prompt or on-device conversion measurement, we recommend utilizing target cost per install (tCPI) bidding.

How to check for fluctuations in deterministic signals?

Check if ATT consent settings within your app have changed recently. If your app uses on-device measurement, make sure there hasn’t been unexpected disruptions or changes to this technology with your recent app releases.

What to expect when fluctuations in deterministic signals happen?

If there are significant changes in the deterministic signals sent from your app, your campaign’s performance can be affected. Keep in mind that iOS conversion modeling can take between 7-10 days to adjust to fluctuations in deterministic signals.

Running more than 8 iOS campaigns per iOS app

Having more than 8 active campaigns for your iOS app can hinder measurement within SKAdNetwork. iOS modeling and campaign optimization are intended for the top eight campaigns per iOS app ID. If you exceed this limit, conversion modeling and SKAdNetwork measurement may be obscured for campaigns with smaller budgets.

How can I identify campaign related fluctuations?

Check how many active iOS campaigns you have for your app.

How can I resolve performance fluctuations if my app has more than 8 campaigns?

If your app has more than 8 campaigns, consolidate to 8 or fewer before evaluating performance for campaigns beyond the top 7 in terms of budget.

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