Welcome to Autometrics Insights
Autometrics team of data scientists and analysts, develop tools and derive insights on the impact of demand and how to react to changes in demand.
The Insights Lab team, led by Professor Rex Du, is responsible for the publication of market insights, and the development of tools and applications to support the analysis of Autometrics Shopper data.
The Insights Lab is currently heavily focused on analyzing the industry impact from COVID-19. Insights Lab clients can further benefit from deeper data modeling to help project the impact on future sales by region and segment using Decomposition Modeling and Demand Conversion Pipeline Projection.
Since March, the Insights Lab have been publishing a series of daily bulletins to help auto manufacturers and others in the automotive industry follow how demand for new vehicles has been responding to the COVID-19 crisis in the US.
We are pleased to confirm our latest edition of The Autometrics Report is available to download below.
This Edition contains a selection of insights about the dynamics of the new light vehicle market in Q1 2020, combining trends in Shopper Share with trends in Shopper Conversion, which allowed us to form a unique point of view about the battle for market share. It consists of the following sections:
COVID-19 Impact looks at the impact of the pandemic at the national, state and DMA level
Industry Highlights looks at both Vehicle Categories and Segments
Category Highlights using Autometrics Growth Quadrants we look for potential improvers
Segment Highlights looks in detail at the trends within 6 segments
To receive by email the Autometrics Report and the daily Bulletin “COVID-19: The Pandemic’s Impact on New Vehicle Demand – Daily Bulletin” please subscribe using the form at the bottom of this page.
In our first edition this year of The Autometrics Report, Professor Rex Du introduced the Autometrics Growth Quadrant chart, which illustrates how one can obtain deeper insights into the gains and losses in market shares by decomposing them into shifts in Shopper Share versus shifts in Shopper Conversion. The matrix results in a segmentation of performance into four quadrants: