When the post-ATT (app tracking transparency) reality hit in 2021, platforms like Meta and TikTok lost much of their ability to track users by default. Suddenly, the granular targeting and direct signals we relied on vanished, leaving us in a position where we needed to start working with aggregated data and a feeling that we were flying blind.
But we’re not just facing marketing challenges related to privacy updates, the fragmentation of data is also a result of the breadth of platforms, formats and devices that now occupy our attention.
None of us have linear journeys as consumers. Just think to yourself about how often something appears on your social feed that you’re semi-interested in, but rather than click the creative or ad, you head to Google, ChatGPT or straight to the app store to install or research. This is the exact type of scenario where attribution signals get lost. The gap between the ad impression and the install.

If you only take one thing away from this article, let it be this—Apple Ads is not just another expensive paid acquisition channel that you need to compare to other paid media channels. Instead, if you view it as a conversion mechanism within the App Store, you’ll be able to capture the high-intent demand your other channels are generating right at the moment the user is in “install” mode.
Note: People still often say “Apple Search Ads" or “ASA”, but Apple has recently rebranded the platform to just “Apple Ads.” To reflect this, we will use “Apple Ads” throughout the article.
Key takeaways
- Apple Ads is your safety net, not just a channel. It captures the high-intent demand generated by your other paid channels (Meta, TikTok) that would otherwise be lost or poached by competitors.
- Granularity gives you control. Unlike the “black box” algorithms of other paid platforms, Apple Ads still rewards manual structure. Using Single Keyword Ad Groups (SKAGs) allows you to isolate performance and scale only what is successful.
- Creative is your biggest lever. Custom Product Pages (CPPs) allow you to match your App Store landing page to specific search queries, significantly improving relevance and conversion rates compared to generic pages.
- You can’t manage what you can’t measure. Apple Ads does not integrate directly with most attribution tools. To see the full picture, you need a Mobile Measurement Partner (MMP) to unify your data and reveal the true ROI of your campaigns.
- Know your limits before you bid. Auction prices in Apple Ads are often driven by the revenue potential of your specific category (e.g., Finance apps cost more to promote). You need to know your user's Lifetime Value (LTV) to ensure you aren't overpaying in a high-stakes auction.
3 expensive misconceptions about Apple Ads
Even experienced marketers hesitate to test Apple Ads because of a few persistent myths. Let’s clear the air on the three biggest ones we hear:
Myth 1: “It improves my organic ranking.”
The reality: Apple Ads is not a “pay-to-win” SEO tool. Spending money here does not directly influence your organic ranking in the App Store. However, there is a secondary benefit. By capturing high-intent users, you increase your overall install totals and engagement rates, which can indirectly support your organic visibility over time.
Myth 2: “It’s only for branded keywords.”
The reality: While protecting your brand name is critical, stopping there leaves money in the App Store oblivion. Using generic keywords to describe what your app does rather than who you are can be a strong avenue for user acquisition.
Myth 3: “It’s only for big budgets.”
The reality: Budget isn't the determining factor for success in the App Store. Unlike Meta, where algorithmic learning can require massive data volume (and budget) to stabilize, Apple Ads rewards clear account structure. If your auction mechanics and structure are solid, smaller outfits can achieve results just as consistent as enterprise brands.
Stop trusting the “black box”: why granularity wins
If you are used to using Meta or Google Ads, you are increasingly being reminded to trust the algorithms and keep your ad structures broad in nature. That’s not how it works in Apple Ads. This platform is for those that seek the nostalgia of precise ad controls.

The SKAG structure (single keyword ad groups).
To get the best results, your ad must match exactly what the user is searching for. The most effective way to do this is through Single Keyword Ad Groups (SKAGs).
Instead of adding multiple keywords into one group, you create a separate ad group for each specific keyword. Yes, this is tedious, but it gives you total control over bids and creatives for that specific term.
Why this matters: In Apple Ads, “Exact Match” isn't always exact. If you bid on “tiktok video editor,” Apple might still show your ad for “tiktok video cut”. By isolating keywords into SKAGs, you can use negative keywords to negate your ad from appearing for these pesky close-but-not-quite-the-same-intent variants.
The relevance lever: custom product pages (CPPs).
Apple allows you to create up to 70 unique versions of your App Store product page (CPPs). This is your secret weapon for ad relevance.
Let’s say you’re working for a multi-purpose fitness app. If a user searches in the App Store for a specific feature or function, let’s say “calorie tracker”, you can serve them a CPP that details the specific calorie tracking feature within your app.
This creates a high-relevance experience from the user’s search query through to the ad creative. The higher the relevance, the more likely you’ll achieve a higher conversion rate, which lowers your cost per install and allows you to bid more aggressively.
The boring (but critical) fundamentals
Okay, we’ve covered some strategic fundamentals, but let’s get some very helpful tactical items.

You can’t optimize what you can’t see
Apple Ads doesn't automatically merge with the SKAdNetwork (SKAN) data you might use for Meta and TikTok. This means if you look at Apple Ads in isolation, you are missing the entire picture of your user journey.
To fix this, you need a Mobile Measurement Partner (MMP). Apple Ads doesn't offer direct integrations with MMPs by default, you need a tool (like, ahem, Asapty) to bridge that gap. MMPs allow you to unify your data, allowing you to see how your upper-funnel social spend actually connects to the final lower-funnel App Store conversion.
Your competitors set your bid ceiling
The competitor effectively sets the price of a click with the highest Lifetime Value (LTV). If the top app in your category makes $100 per user, they can comfortably bid $10 per tap. If your app only makes $20 per user, you are essentially priced out of that auction.
You can't see your competitors' budgets, but you can get a guide on what they’re willing to bid. Apple’s “Suggested Bid” range acts as a window into their economics. Review the suggested bid for your keywords and multiply that number by 3 (assuming a “typical” 3x ROAS target).
The result is the minimum LTV you need to compete sustainably. If your actual LTV is lower than that number, do not try to outbid the market. You must fix your retention and monetization first.
Conclusion: close the loop
Apple Ads doesn’t compete against your other advertising platforms, it’s a conversion mechanism that can close the loop on customers that are ready to act. It amplifies the results of your social ad campaigns by completing the user journey.
Our case study of optimizing Apple Ads strategy for Woofz app at Asapty shows that around 28% of users who see a paid ad later search for that app directly in the App Store. Every dollar you spend on Meta, TikTok, Google, Snapchat or other channels builds awareness that often leads users to search for your app in the App Store.
When you treat Apple Ads in the App Store as a safety net using granular SKAG structures to control costs and Custom Product Pages to drive relevance, you stop leaking users to competitors and start capturing the full value of the app demand you’ve created.
FAQs
When the post-ATT (app tracking transparency) reality hit in 2021, platforms like Meta and TikTok lost much of their ability to track users by default. Suddenly, the granular targeting and direct signals we relied on vanished, leaving us in a position where we needed to start working with aggregated data and a feeling that we were flying blind.
But we’re not just facing marketing challenges related to privacy updates, the fragmentation of data is also a result of the breadth of platforms, formats and devices that now occupy our attention.
None of us have linear journeys as consumers. Just think to yourself about how often something appears on your social feed that you’re semi-interested in, but rather than click the creative or ad, you head to Google, ChatGPT or straight to the app store to install or research. This is the exact type of scenario where attribution signals get lost. The gap between the ad impression and the install.

If you only take one thing away from this article, let it be this—Apple Ads is not just another expensive paid acquisition channel that you need to compare to other paid media channels. Instead, if you view it as a conversion mechanism within the App Store, you’ll be able to capture the high-intent demand your other channels are generating right at the moment the user is in “install” mode.
Note: People still often say “Apple Search Ads" or “ASA”, but Apple has recently rebranded the platform to just “Apple Ads.” To reflect this, we will use “Apple Ads” throughout the article.
Key takeaways
- Apple Ads is your safety net, not just a channel. It captures the high-intent demand generated by your other paid channels (Meta, TikTok) that would otherwise be lost or poached by competitors.
- Granularity gives you control. Unlike the “black box” algorithms of other paid platforms, Apple Ads still rewards manual structure. Using Single Keyword Ad Groups (SKAGs) allows you to isolate performance and scale only what is successful.
- Creative is your biggest lever. Custom Product Pages (CPPs) allow you to match your App Store landing page to specific search queries, significantly improving relevance and conversion rates compared to generic pages.
- You can’t manage what you can’t measure. Apple Ads does not integrate directly with most attribution tools. To see the full picture, you need a Mobile Measurement Partner (MMP) to unify your data and reveal the true ROI of your campaigns.
- Know your limits before you bid. Auction prices in Apple Ads are often driven by the revenue potential of your specific category (e.g., Finance apps cost more to promote). You need to know your user's Lifetime Value (LTV) to ensure you aren't overpaying in a high-stakes auction.
3 expensive misconceptions about Apple Ads
Even experienced marketers hesitate to test Apple Ads because of a few persistent myths. Let’s clear the air on the three biggest ones we hear:
Myth 1: “It improves my organic ranking.”
The reality: Apple Ads is not a “pay-to-win” SEO tool. Spending money here does not directly influence your organic ranking in the App Store. However, there is a secondary benefit. By capturing high-intent users, you increase your overall install totals and engagement rates, which can indirectly support your organic visibility over time.
Myth 2: “It’s only for branded keywords.”
The reality: While protecting your brand name is critical, stopping there leaves money in the App Store oblivion. Using generic keywords to describe what your app does rather than who you are can be a strong avenue for user acquisition.
Myth 3: “It’s only for big budgets.”
The reality: Budget isn't the determining factor for success in the App Store. Unlike Meta, where algorithmic learning can require massive data volume (and budget) to stabilize, Apple Ads rewards clear account structure. If your auction mechanics and structure are solid, smaller outfits can achieve results just as consistent as enterprise brands.
Stop trusting the “black box”: why granularity wins
If you are used to using Meta or Google Ads, you are increasingly being reminded to trust the algorithms and keep your ad structures broad in nature. That’s not how it works in Apple Ads. This platform is for those that seek the nostalgia of precise ad controls.

The SKAG structure (single keyword ad groups).
To get the best results, your ad must match exactly what the user is searching for. The most effective way to do this is through Single Keyword Ad Groups (SKAGs).
Instead of adding multiple keywords into one group, you create a separate ad group for each specific keyword. Yes, this is tedious, but it gives you total control over bids and creatives for that specific term.
Why this matters: In Apple Ads, “Exact Match” isn't always exact. If you bid on “tiktok video editor,” Apple might still show your ad for “tiktok video cut”. By isolating keywords into SKAGs, you can use negative keywords to negate your ad from appearing for these pesky close-but-not-quite-the-same-intent variants.
The relevance lever: custom product pages (CPPs).
Apple allows you to create up to 70 unique versions of your App Store product page (CPPs). This is your secret weapon for ad relevance.
Let’s say you’re working for a multi-purpose fitness app. If a user searches in the App Store for a specific feature or function, let’s say “calorie tracker”, you can serve them a CPP that details the specific calorie tracking feature within your app.
This creates a high-relevance experience from the user’s search query through to the ad creative. The higher the relevance, the more likely you’ll achieve a higher conversion rate, which lowers your cost per install and allows you to bid more aggressively.
The boring (but critical) fundamentals
Okay, we’ve covered some strategic fundamentals, but let’s get some very helpful tactical items.

You can’t optimize what you can’t see
Apple Ads doesn't automatically merge with the SKAdNetwork (SKAN) data you might use for Meta and TikTok. This means if you look at Apple Ads in isolation, you are missing the entire picture of your user journey.
To fix this, you need a Mobile Measurement Partner (MMP). Apple Ads doesn't offer direct integrations with MMPs by default, you need a tool (like, ahem, Asapty) to bridge that gap. MMPs allow you to unify your data, allowing you to see how your upper-funnel social spend actually connects to the final lower-funnel App Store conversion.
Your competitors set your bid ceiling
The competitor effectively sets the price of a click with the highest Lifetime Value (LTV). If the top app in your category makes $100 per user, they can comfortably bid $10 per tap. If your app only makes $20 per user, you are essentially priced out of that auction.
You can't see your competitors' budgets, but you can get a guide on what they’re willing to bid. Apple’s “Suggested Bid” range acts as a window into their economics. Review the suggested bid for your keywords and multiply that number by 3 (assuming a “typical” 3x ROAS target).
The result is the minimum LTV you need to compete sustainably. If your actual LTV is lower than that number, do not try to outbid the market. You must fix your retention and monetization first.
Conclusion: close the loop
Apple Ads doesn’t compete against your other advertising platforms, it’s a conversion mechanism that can close the loop on customers that are ready to act. It amplifies the results of your social ad campaigns by completing the user journey.
Our case study of optimizing Apple Ads strategy for Woofz app at Asapty shows that around 28% of users who see a paid ad later search for that app directly in the App Store. Every dollar you spend on Meta, TikTok, Google, Snapchat or other channels builds awareness that often leads users to search for your app in the App Store.
When you treat Apple Ads in the App Store as a safety net using granular SKAG structures to control costs and Custom Product Pages to drive relevance, you stop leaking users to competitors and start capturing the full value of the app demand you’ve created.
FAQs
Basic is the autopilot version, automating targeting and bidding with a $10,000 monthly cap. This is great for smaller businesses. Advanced is for growth marketers, offering full control over keywords, audiences, and bids. This control is essential for executing granular strategies like SKAGs.
It supports SKAN, but primarily uses Apple’s AdServices framework. Unlike SKAN, AdServices offers real-time tracking for installs and in-app events, eliminating the reporting delays common with social platforms.
If you run multi-channel ad campaigns, yes. Apple Ads doesn't natively integrate with other networks' attribution data. An MMP bridges this gap, showing how upper-funnel awareness campaigns drive lower-funnel App Store engagements.
Not directly. However, by capturing high-intent users and increasing install volume, you can indirectly support your organic visibility.






