1800DTC BFCM Playbook
[ Chapter 09 · Part 2 ] Customer Support & CX

Bearaby

Bearaby

An operator spotlight from a Customer Service Lead who ran a fully in-house CX team through the peak, in a premium, considered-purchase category where a bad interaction costs more than a sale.

[ Brand contributor ]
Natasha Lambert Bearaby Natasha Lambert Customer Service Lead
“The cost of a bad interaction isn't just a lost sale. It's a customer who carefully chose us after consideration and left without the experience they expected.”

This brand is independent of the chapter’s sponsor and of every other brand in the playbook.

Overperformed Pre-prompted chat campaigns Higher engagement with response times held stable even at peak. Chat converts at ~13.8% vs 3–4% for email. High leverage for a small one-time investment.
Underperformed AI tooling tests Tried several tools ahead of BFCM, rolled out none. Onboarding ran long and hallucinations showed up on product questions. It wasn't a risk worth taking to hit an automation target.
[ The volume reality ]

The Peak Wasn't Cyber Monday.

Sat, Nov 29~5×a normal Saturday · 2.6× average daily volume of tickets
Tue, Dec 2~6×a normal Tuesday · the true peak, after the weekend
CX team100% in-houseno outsourcing or BPO, through the surge
[ The ticket mix shift ]

“Can I Still Change It?” Not “Where Is It?”

The surprise wasn't more WISMO. Classic “where's my order” tickets actually came in below the normal monthly average. What grew was discounts & sales questions, product queries, and order modifications nearly doubled. The conversation changed more than the volume did.

Ticket type Normal BFCM 2025 Shift
{{ r.k }} {{ r.norm }} {{ r.bfcm }} {{ r.shift }}
[ What BFCM CX costs ]

The Real Cost Math.

For a brand like Bearaby, the focus became more on the internal levers they could pull rather than looking outwards. Finding solutions when they already seemed to have the right process.

Total CX spend2.5–3× Morethan a comparable non-peak period
Cost per ticket~Flatfixed tooling absorbed across far more tickets
Where it goesLaborseasonal + overtime, not tools or automation
[ Automate vs. human ]

Intent and Stakes Decide the Split.

A blanket “automate 70%” target optimizes for speed and cost, not for what the moment calls for. For a considered purchase tied to sleep, anxiety, or a gift, the cost of a confidently wrong answer is asymmetric.

Self-serve Order status, tracking and FAQs (routine, post-purchase, low-stakes). One caveat: if an order stalls (no update in 1–2 business days) the automated flow breaks down and a human has to investigate and reassure.
Stays human Pre-purchase, time-sensitive, and complex order questions, plus returns and exchanges. Bearaby holds a sub-30-second human response target on pre-purchase chat, because that's where personalized guidance actually converts.
[ Response time & conversion ]

Cross a Minute, and Conversion Halves.

Pre-purchase chat held at 20–35 seconds through BFCM 2025. Past the one-minute mark, a customer's likelihood to convert roughly halves. With no mandatory email capture on chat, a customer who leaves before a reply is often gone for good.

Chat vs. email~11% vs 3–4%conversion by channel
Chat conversion, BFCM12% → 13.8%2024 (times slipped) → 2025 (held tight)
CSAT, Nov 202596.2%strongest month of the year

The honest downside wasn't where the playbook expects it: CSAT held strong through the weekend.

[ The 2026 plan ]

Three Changes for Next Year.

01 · ChatExpand the pre-prompted chat campaign approach. The highest-leverage, lowest-cost move of 2025.
02 · AutomationGive AI tooling a longer evaluation runway instead of standing it up right before peak.
03 · JanuaryBuild support capacity into January, where the real CSAT strain landed this year, not the BFCM weekend.