Case Study
A multi-city healthcare group needed predictable Telegram acquisition without paying for broad, low-fit traffic. Telepars helped build local channel packs, validate quality before buying, and optimize spend based on retention signals instead of raw join spikes.
-31%
cost per acquired subscriber in 6 weeks
+17%
30-day retention vs baseline
3 cities
rolled out through local channel packs
2 waves
required to stabilize acquisition mix
The team had scattered buying lists from different city managers and no unified quality criteria. Large channels delivered volume, but retention dropped fast after each campaign burst.
They started with Category Search for each city, then ran Channel Analysis to remove inactive channels. Every placement received a dedicated Unique Link so source quality could be compared fairly.
In city A, 126 candidate channels were narrowed to 34 validated placements. After first-wave attribution, 11 sources were paused due to high churn, and budget moved to sources with steadier retention.
By the end of week 6, CPA fell by 31% and 30-day retention improved by 17%. Weekly review cycles made budget decisions faster because each source had clear quality evidence.
The team replaced ad-hoc buying with a repeatable loop: discover, validate, launch with unique links, and rebalance weekly. Local managers now work from one shortlist standard.
Pre-buy quality filtering prevented weak placements from entering campaigns, and retention-aware attribution protected spend from short-term vanity spikes.