A Web Shop Holiday Readiness Checklist Before Peak

A web shop that has run cleanly since spring is not the same thing as a web shop ready for holiday traffic. Most studios that built external purchase flows this year did so under the contempt ruling in Epic v Apple, at a pace dictated by legal deadlines rather than normal product cadence, and plenty of them have never stress-tested that flow against anything resembling a holiday spike. A web shop holiday readiness checklist closes that gap before the traffic arrives, not after.

Why a web shop that works in October can fail in December

The failure mode is rarely dramatic. It's a checkout flow that adds two extra seconds of latency under concurrent load, a payment processor that queues transactions during a regional surge, or a pricing page nobody ever tested against the currency and tax logic a holiday promotion introduces. None of these crashes the shop on its own. Put them together under several times the normal volume and they compound into a checkout abandonment rate that looks like a demand problem when the cause is infrastructure, and the team finds out days after the traffic that would have converted has already moved on.

The readiness checklist

Run this against the web shop no later than two weeks before your expected peak, and again 48 hours before it:

• Load-test the checkout flow at a multiple of normal peak concurrent sessions, not normal average traffic, since holiday spikes arrive in short sharp bursts rather than as an even lift across the day.
• Verify that attribution links carrying UA campaign parameters survive the full checkout journey, including any redirect through a payment processor. A broken parameter chain during peak costs far more than the same break in a quiet week.
• Check pricing, currency conversion and any holiday discount logic end to end in every market the shop serves, not only the home market the team tests against by default.
• Give customer support a documented escalation path for payment failures specific to the web shop, separate from the standard in-app purchase support flow; a support agent unfamiliar with the web shop's failure modes will make a bad experience worse.
• Test on the devices and connection speeds your holiday traffic will actually use, including older Android handsets and slower mobile connections in markets where that mix skews differently from your usual test devices.
• Confirm a rollback plan exists for a severe failure during peak, including who has authority to redirect users back to standard in-app purchase and how fast that call can happen without waiting for a scheduled incident review.

What breaks first under holiday load

Two things fail first. One is the payment processor's own capacity limit, which a studio rarely controls directly and needs to confirm with the vendor rather than assume. The other is the attribution handoff between the ad click, the web landing page and the purchase event, which sits entirely inside the studio's control and is the more common point of failure in practice.

A web shop that loses attribution data during a spike does not just cost the day's reporting; it corrupts the cohort data UA teams will use to evaluate that period's spend for weeks afterward. That is the more expensive problem, worse than the lost sale itself, because a UA team scaling budget off corrupted cohort data can misjudge a channel's real performance for the following month as well.

If two weeks is not available

Not every studio reading this in mid-November has two clear weeks before its own expected peak. A compressed timeline still needs a version of this checklist rather than none of it. With only a few days left, do the load test and the attribution verification first, because those two failure modes are the ones most likely to cost real revenue and corrupt reporting data respectively. Pricing and currency checks matter too, though a mispriced item in one secondary market is a recoverable error; a checkout that buckles under concurrent load, or an attribution chain that breaks silently during the exact days a UA campaign is pushing hardest, is gone for good once the traffic has already passed through the shop.

Coordinating with UA before the surge

The checklist only works if UA and the web shop's product owner are reading the same calendar. A UA team planning a Black Friday push, of the kind covered in this desk's piece on Black Friday mobile game CPMs and what to budget for now, needs to know the shop has held up against the volume that campaign will drive; the product team running the shop needs to know when that volume arrives, so testing happens against a realistic number rather than a guess. One shared readiness meeting in the two weeks before peak usually does it, with both sides signing off on the same checklist rather than each assuming the other has covered it.

Treating readiness as a standing capability

The teams that handle this well don't treat the holiday check as a one-off fire drill. They build the load test and the attribution verification into a repeatable runbook, with the rollback plan sitting alongside them, and re-run the whole thing before every high-traffic event across the year rather than only ahead of the holidays. That costs more upfront than a single rushed check in November. It also means the spike nobody saw coming, whether it arrives from a marketing campaign or a press moment or a platform-driven traffic surge, meets a process the team has already run instead of one assembled under pressure for the first time.

Related archive reading

These articles provide related context and remain subject to their stated review status.

• The Ledger #22: EU Terms and Web Shop Holiday Readiness
• A playable QA holiday code freeze checklist to run early