# How to Find Keywords for Apple Search Ads Source: https://www.youtube.com/watch?v=OScek7XXpAg Recap page: https://rapidrecap.app/video/OScek7XXpAg Generated: 2025-11-25T17:48:19.341+00:00 --- ## Quick Overview The video outlines three primary, easy methods for finding effective keywords for Apple Search Ads campaigns: analyzing existing campaign performance data, leveraging Google Search suggestions for general and niche terms, and using keyword research tools like UberSuggest or the one demonstrated, AppAdMetrics, to generate related and high-volume ideas. **Key Points:** - Method one involves analyzing existing Apple Search Ads data within a tool (like AppAdMetrics) to identify keywords already generating revenue or impressions, which can then be scaled. - Method two uses Google Search autocomplete and the 'People also search for' section for a broad seed keyword (like 'diet' or 'weight loss') to capture common user queries. - Method three utilizes dedicated keyword discovery tools, such as UberSuggest or the demonstrated AppAdMetrics Keyword Ideas tool, to find related keywords based on volume and difficulty. - The presenter demonstrates using 'diet' in Google Search to find related terms like 'diet plan for weight loss' and 'beginner diet plan,' which are then added to a spreadsheet or keyword list. - The video shows using AppAdMetrics' Keyword Ideas tool to find keywords related to 'weight loss' and filtering by volume and intent to compile a comprehensive list. - The AppAdMetrics platform also offers AI optimization features to automatically scale bids based on performance against targets like ROAS thresholds. - The presenter offers a free 21-day trial for AppAdMetrics with no credit card required. ![Screenshot at 0:05: A table displaying metrics for 'BROAD' match type keywords in an Apple Search Ads campaign, showing columns like Bid, Spend, Total Revenue, Impressions, Taps, Installs, CTR, CPA, and ROAS, illustrating the data used in the first keyword finding method.](https://ss.rapidrecap.app/screens/OScek7XXpAg/00-00-05.png) **Context:** This tutorial focuses on optimizing Apple Search Ads performance by systematically discovering relevant and high-potential keywords. The presenter introduces three methods that range from analyzing existing campaign data to leveraging external search engine insights and specialized keyword research software, emphasizing the goal of finding keywords with actual search volume that align with the app's monetization strategy. ## Detailed Analysis The video details three straightforward methods for finding keywords for Apple Search Ads campaigns. The first method involves analyzing existing campaign data within an advertising analytics platform, exemplified by AppAdMetrics (0:05). By examining metrics such as Spend, Total Revenue, Impressions, and ROAS for active broad match keywords, advertisers can identify which terms are already performing and should be scaled. The second method utilizes Google Search itself to derive keyword ideas. By typing a general term like 'diet' (1:24) or 'weight loss' (2:56) into the search bar, users observe autocomplete suggestions (e.g., 'diet plan for weight loss,' 'weight loss treatment') and the 'People also search for' section (2:30) to capture common search intent. The third method involves using dedicated keyword research tools, like UberSuggest or the demonstrated AppAdMetrics Keyword Ideas tool (3:24). This tool allows users to input a seed keyword (like 'weight loss') and instantly receive related keywords, complete with metrics like volume, CPC, and SEO difficulty (3:33). The presenter emphasizes that while the first two methods are manual or semi-manual, the third speeds up the process significantly by providing data-backed suggestions, including related categories and intent-based keywords. Finally, the presenter transitions to showing the AppAdMetrics dashboard (4:02), highlighting its AI optimization features that allow setting targets like ROAS threshold and campaign bid multipliers to automatically scale or scale down keywords based on performance. ### Method 1 - Analyzing Existing Ads Data: Using platform data (like AppAdMetrics table at 0:05) to identify keywords currently driving revenue and impressions for scaling. ### Method 2 - Leveraging Google Search: Using Google autocomplete and 'People also search for' sections (2:03) for seed terms like 'diet' or 'weight loss' to capture common user intent and related long-tail keywords. ### Method 3 - Using Keyword Tools: Employing tools like UberSuggest or AppAdMetrics' Keyword Ideas feature (3:24) to generate a large list of relevant keywords with associated metrics like volume and difficulty. ### Keyword Refinement in Tool - Demonstrating inputting 'weight loss' into the AppAdMetrics tool (3:32) to get related ideas, showing metrics for volume, CPC, and SEO difficulty in the resulting table. ### AI Optimization in AppAdMetrics - Overview of the Analytics Dashboard (4:02) showing Campaign Optimization settings where users can set ROAS targets and Bid Multipliers for automated scaling (4:27). ![Screenshot at 0:05: A table displaying metrics for 'BROAD' match type keywords in an Apple Search Ads campaign, showing columns like Bid, Spend, Total Revenue, Impressions, Taps, Installs, CTR, CPA, and ROAS.](https://ss.rapidrecap.app/screens/OScek7XXpAg/00-00-05.png) ![Screenshot at 0:12: The AppAdMetrics landing page emphasizing 'See Which Keywords Make You Money. Then Auto Scale Them With AI,' showing key metrics like Total Spend \($937.75\) and Total Revenue \($503.79\).](https://ss.rapidrecap.app/screens/OScek7XXpAg/00-00-12.png) ![Screenshot at 0:31: The Apple Search Ads dashboard interface showing 'Manage Your Campaigns' with a list of campaigns, illustrating the environment where keywords are applied.](https://ss.rapidrecap.app/screens/OScek7XXpAg/00-00-31.png) ![Screenshot at 1:04: The AppAdMetrics 'Add Keywords' interface showing a list of recommended keywords for a diet/calorie tracking app, sorted by popularity.](https://ss.rapidrecap.app/screens/OScek7XXpAg/00-01-04.png) ![Screenshot at 2:03: A Google search results page showing autocomplete suggestions for the term 'diet,' providing common related searches like 'diet plan for weight loss' and 'diet meaning.'](https://ss.rapidrecap.app/screens/OScek7XXpAg/00-02-03.png)