Resources · Seasonal & event tracking

Seasonal & event tracking playbooks

Written before each window, with findings added after. No forecasts presented as measurements.

Seasonal and event tracking playbooks set out the collection design each major retail window requires — cadence, fields, timing and the errors that recur — published before the event, with findings added once data exists.

Most event retail analysis is published after the fact and is useless for preparing. These are written beforehand, because the decisions that determine whether your event data is usable are all made before the window opens.

Playbooks

Current playbooks

Each covers what changes in that window, the collection design it requires, and the measurement mistakes that recur.

Late November 2026

Black Friday 2026 price tracking playbook

Written before the event, not after. What to set up now, and what nobody can tell you yet.

October to November 2026

India festive season 2026 tracking playbook

A window that runs for weeks, not days, and where pincode-level collection stops being optional.

Approximately 18 February to 19 March 2027

Ramadan 2027 GCC grocery tracking playbook

A window where the shopping day inverts, which breaks collection schedules designed for daytime retail.

Why these are playbooks and not reports

An event report published after the window is interesting and arrives too late to act on. Every decision that determines whether your event data is usable — when to start, what cadence, which fields, how to compute a baseline — is made before the window opens.

So these are written beforehand, and findings are added to each page after the window closes, dated, with the cadence and population stated. Nothing on these pages presents an unmeasured figure as a finding.

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