BFCM Recovery Benchmarks: What Last Year's Data Shows

Recovery is the part of Black Friday and Cyber Monday most stores measure last and understand least. You can see the orders that went through, but the shoppers who stalled at checkout rarely get a scorecard. This post is that scorecard: the benchmarks worth tracking across the Thanksgiving to Cyber Monday run, the outside numbers that set the context, and how to read your own results so next year starts from evidence instead of a hunch.

Start with scale, because BFCM recovery is a volume story before it is a rate story. The National Retail Federation counted a record 202.9 million shoppers over the 2025 Thanksgiving weekend, with 85.7 million buying online on Black Friday, 80.3 million in stores that day, and 75.9 million online on Cyber Monday². More shoppers starting more checkouts means more unfinished ones, even when your completion rate holds steady.

Why BFCM recovery needs its own benchmarks

Unfinished checkouts are normal every week of the year. Baymard Institute averages 50 separate studies and puts the documented share of online carts left without an order at 70.22%¹. On a quiet Tuesday that rate is background noise. Over a sale weekend the same rate sits on top of several times the traffic, so the raw count of carts you could win back is far larger than usual, and the stakes per hour are higher.

The reasons shoppers stall also sharpen during the sale. When Baymard asks people why they left, 40% point to extra costs such as shipping, tax and fees, and 20% say delivery was too slow¹. In late November both worries get louder: a shipping fee stings next to a sale price, and every gift has a deadline. A benchmark that ignores this context will tell you the wrong story.

The four benchmarks worth tracking

Four measures tell you how recovery is really going. Track each one by day across the run, not just as a single weekend average, because the shape changes from Thanksgiving to Cyber Monday.

• Reply rate. The share of shoppers who answer when a real person reaches out. This is the clearest sign your outreach reads as human and lands at a sensible time.
• Recovery rate. The share of those conversations that end in a completed order. This is the number that pays for the program.
• Time to reply and time to order. How quickly shoppers write back and then buy. Sale weekends compress decisions, so watch whether replies arrive in minutes or in hours.
• Value of recovered orders. The average value of the orders you win back, so you can weigh recovery against the discounts you ran.

For the first two, here is what good and excellent look like when a trained person, not a canned message, is doing the reaching out:

When a real person reaches out, a reply rate of 10-15% is good and 15-25% is excellent. Those ranges hold across the week, but expect the top of the band on the busiest days, when shoppers are actively deciding and have a phone in hand.

Recovery rate, the share of conversations that end in an order, runs 8-12% for a good program and 12-20% for an excellent one. If your recovery rate holds through Cyber Monday while volume climbs, that is the strongest sign the week went well.

The other two benchmarks are easy to skip and worth keeping. Time to reply and time to order tell you whether your coverage matches shopper behavior: if replies pile up unanswered for hours on Black Friday, a strong reply rate still leaks sales. Recovered order value tells you whether the shoppers you win back are buying full baskets or stripped-down ones, which is how you judge a discount after the fact. Together the four numbers turn a vague sense that the weekend went fine into something you can defend and repeat next year.

Reading the week, Thanksgiving to Cyber Monday

The run is not one event but four distinct days, each with its own mix of shoppers and questions. Use the day-by-day volume as the backdrop for your own recovery numbers rather than judging the whole weekend at once.

Resist the urge to average the four days together. Thanksgiving skews toward browsing, Black Friday toward urgent high-intent carts, the middle weekend toward slower and more considered buys, and Cyber Monday toward last-chance shoppers chasing the final deal. A reply rate that looks soft on Thanksgiving may be exactly where it should be, while the same number on Cyber Monday would be a warning sign that your coverage thinned out at the wrong moment.

One thing is constant across all four days: shoppers are on their phones. Adobe reports that 57.5% of US online sales on Cyber Monday 2025 came from a mobile device, up from 41.4% in 2020, and 61.6% on Thanksgiving Day³. A recovery message that is hard to read or reply to on a phone will underperform no matter how good the timing.

How to turn benchmarks into a better week

1. Hold out a control group. Keep a random slice of unfinished checkouts, say one in ten, out of all outreach. Only the gap between the messaged group and the holdout counts as recovered revenue.
2. Record the four numbers by day. Reply rate, recovery rate, speed and recovered order value, logged for Thanksgiving, Black Friday, the weekend and Cyber Monday separately.
3. Compare against the bands, not last year's story. Line your reply and recovery rates up against the good and excellent ranges above before you decide whether the week worked.
4. Read the questions, not only the totals. Tag each conversation by topic, so next year your product pages answer the arrival-date and code questions before the shopper has to ask.

Judge the program on return, not on how many messages went out. For conversational recovery handled by a real person, a return of 10-20X on the cost of those conversations is typical, which is why recovery earns a line in the plan rather than a footnote.

Where a real person fits

The benchmark that moves all the others is the reply. A shopper who writes back to ask whether an item will arrive before the holiday is close to buying, and an answer from someone who can check the order, the stock and the cutoff closes the gap. A generic reminder that misses the question does not.

VYG Conversations puts a real, professionally trained person inside a brand's checkout texts for exactly that moment. The person learns the brand's products, policies and voice before sending a word, reads each shopper's reply and answers it, and every exchange is written back to the customer record so the benchmarks above are easy to pull. There are no setup fees and no engineering, and it connects to Shopify and other store platforms; see pricing for the details.

To watch a real person win back a sale-week shopper, see it in action.