With 106M ISR writes vs 30M ISR reads, your write-to-read ratio is unusually high (about 3.5:1). This typically indicates one or more of these issues:

1. Very short revalidation intervals – If your revalidate value is too low (e.g., 10-30 seconds), pages regenerate frequently even if content hasn't changed

2. Excessive on-demand revalidation calls – If your backend triggers revalidatePath() or revalidateTag() too aggressively on every content update

3. Bot/crawler traffic triggering regenerations – Bots hitting many unique URLs can cause cache misses that trigger new page generations

4. Large number of unique paths – With 15k+ sitemap URLs, even moderate traffic patterns can lead to significant write volume

Recommendations to Reduce ISR Writes

• Increase your revalidate interval: If your content doesn't need minute-by-minute freshness, consider increasing from something like revalidate = 60 to revalidate = 3600 (1 hour) or higher. This alone can dramatically reduce writes.

• Use on-demand revalidation strategically: Instead of relying solely on time-based revalidation, use revalidatePath() or revalidateTag() only when content actually changes. This lets you set longer time-based intervals as a fallback.

• Audit your revalidation triggers: If your backend sends webhooks on every CMS update, ensure you're only revalidating the specific paths that changed, not entire route segments.

• Consider static generation for stable content: Pages that rarely change (like archived listings) could use revalidate = false to generate once and never regenerate.

• Batch revalidations: If multiple content items update simultaneously, use tag-based revalidation to invalidate related content in one operation rather than many individual path revalidations.

Quick Wins to Investigate

1. Check your revalidate values across your property listing pages – are they all using the same low interval?

2. Review any API routes or server actions calling revalidatePath() – are they being triggered more often than needed?

3. Look at your analytics for bot traffic patterns that might be hitting many unique listing URLs

thank you @swarnava