Can advertisers target users who have made purchases in specific price ranges?

As of my last update, Twitter's advertising platform doesn't offer explicit targeting options based on the price ranges of past purchases. However, advertisers can still target users based on various other parameters that might indirectly correlate with purchase behavior in specific price ranges. Here are some approaches advertisers can use:

1. **Interest Targeting**: Advertisers can target users based on their interests, which might be indicative of their willingness to spend in certain price ranges. For example, targeting users interested in luxury fashion or high-end electronics could imply a higher propensity to make purchases in higher price ranges.

2. **Demographic Targeting**: Demographic factors such as income level, occupation, and education level can provide insights into users' purchasing power and preferences for products within certain price ranges.

3. **Behavioral Targeting**: While Twitter doesn't offer explicit targeting based on past purchase price ranges, advertisers can still leverage behavioral targeting options. For instance, targeting users who have engaged with high-end brands or premium product categories might suggest an affinity for products in specific price brackets.

4. **Custom Audiences**: Advertisers can create custom audience segments based on customer data from their own CRM systems. If the CRM data includes purchase history with price information, advertisers can use this data to create custom audiences for targeting on Twitter.

5. **Lookalike Audiences**: Advertisers can create lookalike audiences based on their existing customer segments. If advertisers have customer segments that represent specific price ranges, they can create lookalike audiences to target users who share similar characteristics and behaviors.

While advertisers can't directly target users based on specific purchase price ranges on Twitter, they can use a combination of available targeting options to reach users who are likely to be interested in products within certain price brackets. Additionally, advertisers can leverage data analysis and segmentation techniques to identify patterns in customer behavior related to purchase price ranges and adjust their targeting strategies accordingly.