  The COVID-19 pandemic is changing the world in unprecedented and
unpredictable ways. Human mobility is at the epicenter of that change, as the
greatest facilitator for the spread of the virus. To study the change in
mobility, to evaluate the efficiency of mobility restriction policies, and to
facilitate a better response to possible future crisis, we need to properly
understand all mobility data sources at our disposal. Our work is dedicated to
the study of private mobility sources, gathered and released by large
technological companies. This data is of special interest because, unlike most
public sources, it is focused on people, not transportation means. i.e., its
unit of measurement is the closest thing to a person in a western society: a
phone. Furthermore, the sample of society they cover is large and
representative. On the other hand, this sort of data is not directly accessible
for anonymity reasons. Thus, properly interpreting its patterns demands
caution. Aware of that, we set forth to explore the behavior and
inter-relations of private sources of mobility data in the context of Spain.
This country represents a good experimental setting because of its large and
fast pandemic peak, and for its implementation of a sustained, generalized
lockdown. We find private mobility sources to be both correlated and
complementary. Using them, we evaluate the efficiency of implemented policies,
and provide a insights into what new normal means in Spain.
