For a given test market find the best control markets using time series matching and analyze the impact of an intervention. The intervention could be a marketing event or some other local business tactic that is being tested. The workflow implemented in the Market Matching package utilizes dynamic time warping (the 'dtw' package) to do the matching and the 'CausalImpact' package to analyze the causal impact. In fact, this package can be considered a "workflow wrapper" for those two packages. In addition, if you don't have a chosen set of test markets to match, the Market Matching package can provide suggested test/control market pairs and pseudo prospective power analysis (measuring causal impact at fake interventions).

Facilitates tidy calculation of popular quantitative marketing 
    metrics. It also includes functions for doing analysis that will help
    marketers and data analysts better understand the drivers and/or trends
    of these metrics. These metrics include Customer Experience Index 
    <https://go.forrester.com/analytics/cx-index/> and Net Promoter Score 
    <https://www.netpromoter.com/know/>.

Provides estimation methods for markets in equilibrium and
    disequilibrium. Supports the estimation of an equilibrium and
    four disequilibrium models with both correlated and independent shocks.
    Also provides post-estimation analysis tools, such as aggregation,
    marginal effect, and shortage calculations. See Karapanagiotis (2024)
    <doi:10.18637/jss.v108.i02> for an overview of the functionality 
    and examples. The estimation methods are based on full information
    maximum likelihood techniques given in
    Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented
    using the analytic derivative expressions calculated in
    Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard
    errors can be estimated by adjusting for heteroscedasticity or clustering.
    The equilibrium estimation constitutes a case of a system of linear,
    simultaneous equations. Instead, the disequilibrium models replace the
    market-clearing condition with a non-linear,
    short-side rule and allow for different specifications of price dynamics.