Can advertisers target users based on their average order value with Twitter Ads?

As of my last update, Twitter Ads does not offer a specific targeting option to target users based on their average order value. However, advertisers can indirectly target users who may have a higher average order value by using various targeting options and strategies:

1. **Custom Audience Segmentation**: Advertisers can segment their custom audiences based on user behaviors that may correlate with a higher average order value. For example, they can create custom audiences of users who have made multiple purchases or have spent a certain amount of money on their website.

2. **Lookalike Audiences**: Advertisers can create lookalike audiences based on their existing customer data, including users with a higher average order value. Twitter will then identify users who share similarities with these high-value customers and target them with ads.

3. **Interest and Behavior Targeting**: While not directly related to average order value, advertisers can target users based on interests and behaviors that may indicate a higher propensity to spend more. For example, targeting users interested in luxury goods or high-end products may lead to reaching users with a higher average order value.

4. **Dynamic Product Ads**: Advertisers can use dynamic product ads to retarget users with products they have shown interest in or previously purchased. By showcasing products that typically have a higher price point, advertisers may attract users with a higher propensity to make larger purchases.

5. **Retargeting Strategies**: Advertisers can implement retargeting strategies focused on users who have previously made purchases or shown interest in higher-value products. By retargeting these users with relevant ads and offers, advertisers can encourage them to make additional purchases or increase their average order value.

While Twitter Ads may not have a direct targeting option for average order value, advertisers can leverage various targeting options and strategies to indirectly reach users who may have a higher propensity to spend more, thereby potentially increasing their average order value.