One row per customer is a different problem from one row per customer per month. Shape decides which methods can apply to your file at all.
That is the actual report this analysis produces, not a mock-up. Every analysis on this page delivers the same shape of output on your own data.
Every analysis classified under this data shape.
Which rows do not fit the usual pattern, including in combination, and what makes each stand out.
Did a launch, price change or policy move the series?
When did my metric shift?
Is this process stable over time, and can it hold its specification?
How good are my forecasts actually? Rolling-origin backtest with MAPE, MASE, and bias diagnostics against naive baselines.
Which marketing channels actually drive sales?
How much does demand drop when you raise the price?
Is there a seasonal pattern, and how big is it?
How risky is this series? Rolling volatility, drawdowns, and simple historical VaR.
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