We took a hypothetical US fashion DTC store with 100,000 monthly visitors and modeled two email strategies through BFCM. Everything below is a model built on public benchmarks plus our own capture data, not client results, and the assumptions are listed so you can swap in your own numbers.
Strategy one runs a well-built gamified popup from mid-July, converts 9% of the visitors who see it, gives new subscribers a 10% code, warms them with flows, and sends the list a 25% offer during BFCM week.
Strategy two runs a basic signup form over the same period, converts 3%, gives the same 10% code, and compensates at BFCM with a 50% offer.
The assumptions are the same for both. 70,000 visitors see the popup each month after subscriber hiding and frequency caps. AOV is $100. The welcome flow converts 5% of signups into a first purchase before BFCM. 15% of the list churns by late November. The BFCM campaign converts 3% of the reachable list at 25% off and 5% at 50% off, since deeper offers do pull more redemptions. The model ignores repeat purchases and retargeting audiences, both of which favor the bigger list, so the gap below is the conservative version.
Strategy one collects 6,300 emails a month, 25,200 by BFCM. The welcome flow turns 5% of them into 1,260 first orders at $90 each after the code, which is $113,400 in revenue before the sale even starts. By BFCM week 21,420 addresses are still reachable, and the 25% campaign converts 643 of them at $75 net, another $48,200. The total lands around $161,600, with $28,700 given away in discounts.
Strategy two collects 2,100 emails a month, 8,400 total. The same welcome flow produces 420 orders and $37,800. At BFCM the 50% offer converts 357 of the remaining 7,140 addresses at $50 net, which adds $17,850. The total lands around $55,700.
Same traffic, 2.9x revenue gap. Per reachable subscriber during BFCM week the deep discount actually wins, $2.50 against $2.25, because the higher redemption slightly outruns the margin loss. The entire gap comes from list size, which was decided back in July by the capture setup. The discount depth debate that dominates BFCM planning moves the result by cents per subscriber, while the capture rate moves it by a factor of three.
The model has obvious limits. The 5% welcome conversion and the 3% campaign conversion are the assumptions doing the heaviest lifting, and weaker flows narrow the gap. A 9% capture rate is not a given either, in our data it sits between the top 10% and top 3% of ecommerce campaigns, though gamified setups with a working frequency cap reach it regularly. Run the same arithmetic with your own numbers before quoting ours.
If anyone has real cohort data comparing summer-captured and November-captured subscribers through BFCM, that is the part no model replaces.