Key takeaways
- January is the best time to audit what your data said and what it missed.
- Compare platforms against your order system before trusting any single report.
- Separate one-time promotion effects from repeatable demand.
- Write down what you would change in tracking before next peak, while memory is fresh.
The season is over, the dashboards are full, and everyone has a story about what worked. Before those stories harden into next year's plan, spend a week testing them against the data. These seven questions are the ones we find most useful, and none requires new tools.
1. Do the numbers reconcile?
Compare revenue and order counts across your analytics tool, ad platforms and order system. Some gap is normal because of consent, ad blockers and attribution windows. What you want to know is the size of the gap and whether it changed during peak. A gap that widened suggests a tagging or consent problem worth fixing before next season.
2. What was incremental and what was pulled forward?
Discounts often move purchases earlier instead of creating new ones. Look at the weeks after the promotion. If sales dipped below the usual baseline, part of the peak was borrowed from the future. This changes how you judge the promotion and how deep to discount next time.
3. Which channels helped and which just got the credit?
Last-click reporting favors channels close to the purchase, such as branded search and email. Compare it with first-touch or assisted views to see which channels introduced new customers. You do not need a perfect model, only enough to notice when a channel looks weak in one view and strong in another.
4. Where did people leave?
Review the funnel from product view to add to cart to checkout to purchase. Look for steps where mobile and desktop diverge, or where drop-off jumped on peak days. Slow pages, shipping cost surprises and payment errors are common causes. Pair the numbers with a few session recordings or support tickets to find the story behind them.
5. What did returning customers do?
Split new and returning buyers. Peak seasons often bring many first-time buyers who may never come back. Check how many made a second purchase, and which products or channels brought customers likely to return. Retention is where January decisions pay off the most.
6. What broke, and did we notice quickly?
List the incidents: stock sync errors, coupon abuse, payment outages, tags that stopped firing. For each one, note how long it took to detect and who found it. If customers or support found it before your monitoring did, add an alert. Simple checks, such as an alarm when orders drop below a floor for an hour, are often enough.
7. What will we change in tracking before next peak?
Capture a short list while the pain is fresh: missing events, unclear campaign naming, dashboards nobody used, metrics nobody could define. Assign owners and dates now, because these fixes are easy to promise and easy to forget.
- Freeze a definition sheet for revenue, orders and returns.
- Standardize campaign naming before spring campaigns launch.
- Schedule a tracking test two months before next peak.
- Archive this season's reports so next year's comparison is honest.
