Imperial college released a detailed study linking mobility data to decline in Rt
https://www.imperial.ac.uk/media/imperial-college/medicine/mrc-gida/2020-06-08-COVID19-Report-26.pdf
Mobility data represent an important proxy measure of social distancing. Here, we develop a framework to infer the relationship between mobility andthe key measure of population-level disease transmission, the reproduction number (R). The framework is applied to 53 countries with sustained SARS-CoV-2 transmission based on two distinct country-specific automated measures of human mobility,Apple and Google mobility data.
For both datasets, the relationship between mobility and transmission was consistent within and across countries and explained more than 85% of the variance in the observed variationin transmissibility. We quantified country-specific mobility thresholds defined as the reduction in mobility necessary to expect a decline in new infections (R<1).
Unfortunately it's so detailed and extensive (53 countries analyzed) that it's also over a month behind already, it goes up to May 10th.
The country specific pages are from page 31 to 83.
Google updated its data to June 5th
https://www.google.com/covid19/mobility/
I added it together for Ontario from March 6th and overlayed the reported cases in Ontario (corrected for date of symptoms onset)
(The cases at the end are not complete yet since new reported cases are added to earlier dates by symptoms onset)
The cases should be another 5 days to the left to line them up by time of infection.
Of course mobility is only one half of the measures, face masks and social distancing do a lot of the work as well.