plot_frequency_recency_matrix

pymc_marketing.clv.plotting.plot_frequency_recency_matrix(model, future_t=1, max_frequency=None, max_recency=None, title=None, xlabel="Customer's Historical Frequency", ylabel="Customer's Recency", ax=None, **kwargs)

Plot expected purchases in future_t time periods as a heatmap based on customer population frequency and recency.

Parameters:

model: CLV model

A fitted CLV model.

future_t: float, optional

Future time periods over which to run predictions.

max_frequency: int, optional

The maximum frequency to plot. Defaults to max observed frequency.

max_recency: int, optional

The maximum recency to plot. This also determines the age of the customer. Defaults to max observed recency.

title: str, optional

Figure title

xlabel: str, optional

Figure xlabel

ylabel: str, optional

Figure ylabel

ax: plt.Axes, optional

A matplotlib axes instance. Creates new axes instance by default.

kwargs

Passed into the matplotlib.imshow command.

Returns:

axes: matplotlib.AxesSubplot