Recommendation methodology
How OpenCompare recommends broadband
OpenCompare uses transparent rules and available broadband data to create shortlists. The goal is to help users ask the right local availability questions before choosing a provider.
Plan data first
Speed, price, data, benefits, and provider context.
Locality-aware
City and locality context guide the next step.
No fake certainty
Apartment-level coverage is confirmed before booking.
What we use
- Available broadband plan data such as provider, city, speed, price, data limit, benefits, and OTT bundles.
- User context such as locality, apartment or society, usage intent, budget, and current ISP issue when provided.
- Curated city and locality structures that help users move from broad browsing to local confirmation.
How recommendations are ranked
- Gaming pages prioritize higher listed speed, unlimited data, and gaming-suitable plan signals.
- Streaming pages prioritize OTT bundles, speed, data, and family viewing fit.
- Budget pages prioritize lower monthly cost while still checking speed and data usefulness.
- Provider pages focus on plans from that provider and then ask users to confirm locality availability.
What we do not claim
- We do not claim exact apartment-level availability unless it has been confirmed.
- We do not invent outage, latency, support, or installation performance data.
- We do not use fake AI confidence scores or black-box ranking language.
Why WhatsApp continuation exists
- Broadband quality can vary by society, building, local fiber availability, and technician access.
- WhatsApp helps users confirm practical details before switching or booking installation.
- The handoff carries recommendation context so users do not restart a generic support chat.
Use this before choosing
Start with a recommendation page, then confirm provider coverage for your exact locality or society before installation.