Settings Based on Content

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Create custom Settings for the types of content you post on Instagram.

Many Instagram accounts post photos and videos in a variety of niches. For example, let’s say you’re an individual. Sometimes you post photos of food, whereas other times you post photos of your crafts, or photography. One strategy that is useful for getting more targeted Likes and Comments is to change your Settings immediately after posting a photo.

Post a photo/video to Instagram

Post a photo or video to Instagram and ask yourself, “What types of people would be interested in this media?”

Let’s say you post a photo of food:

It makes sense to target people who like food, right?

Change your IGplan settings

Immediately login to IGplan after posting your food-related photo, and change your settings to target users who like food.

Add food-related hashtags with hashtags selected under Targeting.

Enter top food-related usernames with Followers> Usernames selected under Targeting.

You can even add custom comments such as:

  • Mmm so hungry!
  • Love it. Such a foodie!
  • Nom nom nom 😀
When you post a new photo, change your Settings again

Perhaps the next photo you post to Instagram isn’t food-related at all. Maybe it’s a photo of your latest crafting adventure.

Just follow this same strategy to target crafters instead of foodies!

Use the Settings Manager to Save/Load Settings

If you have 5 main categories of the types of images you post on Instagram, and you expect to post within these categories often, then it may make sense for you to save your settings as presets.


  • Preset: Food
  • Preset: Crafts
  • Preset: Photography
  • Preset: Family
  • Preset: Travel

Now, every time you post a new photo, you can easily switch your IGplan settings to that preset and click the Start button to target users who would be more apt to like this type of content.


This strategy works best when you change your settings each time you post a new photo or video to Instagram. If you forget, you may end up targeting the wrong types of users.