Hey everyone,
Lately I’ve been playing around with a little workflow for screening WhatsApp numbers. The idea’s pretty simple: figure out which numbers are actually active and get a sense of engagement, without bothering anyone. It’s super handy if you need to quickly group contacts or analyze interaction rates.
I realized that just four fields can filter out around 60% of low-value numbers: number | last_seen | replied | bounce.
I wrote a few simple scripts for pre-filtering, but some steps felt kinda repetitive, so I started using a small tool (TNTwuYou) to handle list validation and reply tracking.
Some things I’ve tried:
- Sorting numbers by last active date, so you hit the active folks first.
- Grouping contacts based on reply status.
- Using simple scripts with data to get a clear picture of which regions or types of people are more likely to engage.
Has anyone done reply probability scoring?
- Do you base it on a time window or historical reply rate?
- Anyone tried using graph or clustering methods for grouping contacts?
submitted by /u/Suspicious_Prior4515
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