BFCM compresses a quarter's worth of shopper questions into a few days. Most brands plan carefully for send volume. Far fewer plan for reply volume, and that is where the money leaks, because the shoppers who reply are the ones closest to buying.
Here is a simple model of what that leak costs. The figures below are illustrative assumptions, not benchmarks. Swap in your own numbers and the structure still holds.
Say a store sends 10,000 cart recovery texts over the BFCM weekend. About 4% of shoppers reply, which is 400 replies. Of those, roughly 40% are real purchase questions about shipping dates, fit, returns, or stock, which leaves 160 shoppers who want an answer before they buy. Average order value is $90.
When a shopper gets a quick, correct answer while the purchase is still on their mind, a meaningful share go on to buy. Assume 30% do.
160 shoppers x 30% x $90 = $4,320
The response window on a cart text is short, shorter than a typical support SLA. By the time a late reply arrives, the shopper has bought elsewhere, moved on, or forgotten the cart. Assume only 10% still buy.
160 shoppers x 10% x $90 = $1,440
The difference is $2,880 in a single weekend, from a modest send list and a modest reply rate. Scale the send volume and the gap scales with it. The model also leaves out the shoppers who never get a reply at all, which makes the real number higher.
Support queues fill up exactly when reply volume peaks. Teams are stretched, staff are off for the holiday, and replies slip to the next business day. The shoppers asking questions are the ones nearest to a purchase, and they end up waiting behind everything else in the queue.
The cost also compounds with the send side. Brands push harder into BFCM, which increases the number of replies, which increases the number that go stale. More volume without more reply capacity widens the gap instead of closing it.
Start by estimating your own reply volume, either from last season or from your current weekly rate scaled for BFCM. Decide who answers, how fast, and what happens overnight and on holidays. Set a target response time and measure against it during the weekend, not after.
If the math shows a gap your current team can't cover, that is the case for a managed approach. A change freeze helps too, since the week of BFCM is the wrong time to adjust flows you haven't tested under load.
CART is built for reply volume. AI monitors every conversation in real time and answers shopper questions within minutes, around the clock, including overnight and on holidays. A human reviews the conversations, tunes the responses, and passes along what shoppers keep asking so the brand can fix the underlying page or policy.
The result is that the reply side of BFCM scales with the send side, instead of becoming the bottleneck that quietly absorbs the revenue the sends created.
Run your next 250 abandoned carts through CART, $0 charged, and see what it recovers before you commit to anything.
Book a Revenue Proof Call →