Audience conditions
For an audience in Monterrey, timing barely matters.
Monterrey
modelled as Monterrey, Nuevo León, Mexico
MEX-19-958 · America/Mexico_City
Small swings between hours here
The hour of the week genuinely doesn’t move the odds here (swing 2.6%). General reliability: better than 87% of districts worldwide.
reliability percentile
87th
among comparable areas worldwide
weekly swing
2.6 pts
below the 5-pt “matters” bar
The week, hour by hour (local time)
Typical day (chance of a bumpy hour for here, all days averaged)
Same national curve as every neighbouring area — local data sets the level and the amplitude, not the shape.
Your audience is rarely in one place
The planner weighs a whole audience mix, market by market. Check another market:
How the models are built
KASPR Predict is built on years of KASPR’s own active measurement — the same probes, run consistently, worldwide. For every district we hold a long, regular history of connectivity, latency and jitter by hour of the week.
A machine-learned model separates each district’s stable daily and weekly shape from its overall level and its volatility, then projects the hours ahead: where the connection is likely to hold, and where a rough hour is likely. Because the measurement is our own and consistent over years, the level and the shape stay comparable across districts and over time.