How do you handle location extensions in regions with sparse or unreliable data coverage?

Handling location extensions in regions with sparse or unreliable data coverage can be challenging, but there are some best practices you can follow to ensure that your location extensions are effective in these regions. Here are some ways to handle location extensions in regions with sparse or unreliable data coverage:

1. **Use broad location targeting**: Use broad location targeting to ensure that your ads are shown to users in the general area where your business is located. This can help ensure that your ads are shown to users even if the data coverage in the area is sparse or unreliable.

2. **Use ad scheduling**: Use ad scheduling to show your ads during the times when data coverage is most reliable. For example, if data coverage is more reliable during certain times of the day or week, you can schedule your ads to show only during those times.

3. **Use ad customizers**: Use ad customizers to create dynamic ad copy that changes based on specific factors, such as the user's location or the time of day. This can help ensure that your ad copy is relevant and accurate, even in regions with sparse or unreliable data coverage.

4. **Use call tracking**: Use call tracking to track the effectiveness of your location extensions in regions with sparse or unreliable data coverage. Call tracking can help you measure the number of calls and leads generated by your location extensions, even if the data coverage in the area is unreliable.

5. **Monitor performance and adjust**: Finally, make sure to monitor the performance of your ad campaigns in regions with sparse or unreliable data coverage and adjust as needed. Use Bing Ads' reporting and analytics tools to track your ad performance and make adjustments to your targeting, ad copy, and bidding strategies.

By following these best practices, you can handle location extensions in regions with sparse or unreliable data coverage and ensure that your ads are effective in these regions.