Keyword Suggester: step 3 - keyword segmentation

At the 3rd stage of working with Keyword Suggester, you can organize the keywords you added to the "Selected" list during the 2nd stage into distinct groups. This organization prepares you for the segmenting your keywords for different kinds of Apple Search Ads campaigns in the next step. Each keyword group corresponds to a specific campaign type. You can segment keywords by their type and by the Keyword Popularity metric. Pick a drop-down list to proceed to segmenting the list of keywords.

Organizing the keywords by their meaning is the most important segmentation type. By precisely targeting clusters of specific keywords, you can greatly enhance your traffic volumes and lower your costs.

In a drop-down, you will see the table of keywords with essential information for decision-making, including:

Note: Asapty algorithms forecast ad impressions, not app installs. The final number of installs depends on your app's conversion rate, which varies and can't be predicted. However, after launching your Apple Search Ads campaigns with Asapty, you can improve the conversion rate of your ads with Asapty optimization instruments and thus drive more installs.

Organize keywords in standard groups like brand, generic, competitors, or create your custom lists. One option is to group keywords by your app functionality when each group of keywords will correspond to one specific app feature. For instance, an AI chatbot app multiple keywords can be onboarded including ‘chatbot,’ ‘GPT,’ ‘ask bot,’ ‘AI,’ ‘homework solver,’ ‘image generator,’ and ‘video generator’, forming bigger clusters with a bunch of relative keywords. Each cluster of keywords will perform differently in terms of effectiveness, conversions, and other metrics. By segmenting these keywords into dedicated sub-groups based on their meanings, you can gain full control over your ad traffic and ad spend.

Navigate easily around the keywords with Filters. Sort keywords by the assigned groups, keyword name, Search Ads Popularity, or estimated impressions. Apply a “Without group” filter to find unsegmented keywords.

Additionally, you can segment your keyword by keyword popularity score (SAP). Choose a group of keywords segmented by keyword type, for example the brand keywords, and break down into segments by Search Popularity.

This approach is only reasonable if you have many keywords with a SAP score above 50, as these high-traffic keywords can dominate a campaign, leaving low-frequency keywords with little exposure.

With segmentation by popularity, you can control which segments are divided by SAP and which are not. For example, splitting 5 keywords in a “brand” group into different campaigns doesn't make sense, but dividing 150 keywords in a “chatbot” group into 3 campaigns is logical.

When you select different numbers of segments by SAP, Asapty will show the forecasted number of impressions for each group. Adjusting the number of groups by SAP will automatically change the SAP range to balance the estimated impressions. You may find yourself in a situation when 2 keywords in the 55+ SAP segment have times higher estimated impressions than 100 keywords in the 5-20 SAP segment. Asapty algorithms will help you readjust the groups to get an even number of ad impressions across them.

Segmentation results in the creation of individual campaigns. For example, you have three groups categorized by keyword type, with each group further divided into two segments based on SAP score. This results in a total of six Apple Search Ads campaigns to be created in the next step.