afina DMP — a platform that helps telecom operators earn new revenue by analyzing subscriber triggers, segmenting audiences and delivering CPA-based offers.
Across 20+ operators in 35+ countries, partners see up to +5% ARPU.
The pipe was never dumb. It just wasn't asked the right questions.
https://t.co/mb1XY3lElr
Operators call themselves a "dumb pipe". Usually as a joke.
The numbers aren't funny: global telecom revenue grows 2.8% a year to $1.32T by 2029, while mobile ARPU slips from $6.32 to $6.20 (PwC).
2. Build the architecture. CDR, OSS/BSS, DPI and location in one pipeline, ML inside the operator's perimeter, pseudonymous tokens, no PII out.
3. Operationalize revenue. Targeted offers via SMS, RCS or in-app, paid on CPA or rev share.
What's next: local data sources, CPA campaigns for banks, fintech and e-commerce, and partners across the region.
Building with the #AstanaHub community. https://t.co/Myvrk5tQCK
afina has joined @AstanaHub, Kazakhstan's international tech park.
Our next chapter: bringing outcome-based, privacy-first data monetization to Kazakhstan and Central Asia.
Why here: 92.4% digital literacy in 2025, and 4x more organizations running big data analytics than five years ago.
A market that already expects instant, personal offers, and doesn't need to hand over raw data to get there.
That's the difference between signal monetization and data sales. It's also why the model passes regulatory review. ISO/IEC 27001 and GDPR-compliant.
How it works: https://t.co/qWdq109eIm
How afina works instead:
• raw data stays inside the operator network
• matching happens there
• subscribers = pseudonymous tokens, never names or numbers
• PII moves only with explicit consent
• advertisers get targeting, not people
For operators: sell decisions, keep raw data inside the perimeter, own the measurement and the client.
That's how afina DMP gets ~+5% ARPU from signals operators already have.
Full breakdown: https://t.co/Th2DaGqNYR
52% of Americans start a local search on Google. Almost none finish there.
75% use several channels in one search: 30% move to social, 23% to AI tools, 19% to review sites. ~90% check at least two platforms.
(BrightLocal via eMarketer)
An operator sees the signal before the first query is typed: one identity, inside its own network, before the journey splits.
You don't need to rebuild a fragmented path if you see the intent before it fragments.