Sunday shoppers: 77.9% CVR, $136 AOV. Tuesday: 76.2% CVR, $128 AOV. Same store inventory. Different day, different person. Sunday is browse-with-intent. Tuesday is distracted and tight. One checkout for both leaves money on the table.

"Incredible product, just stocked up." 671 reviews. 4.5 stars. Sitting right next to the item in the cart. Your customer already trusts other customers more than your copy. So we put the reviews where the decision happens.

One shirt is $19.99. The 3-pack is $49.99. One tap to swap up, no going back to the product page. Bundle offers in checkout turn "I'll grab one" into "actually, give me three." Higher AOV without spending another cent on ads.

"Only 7 left." "Ships today if you order in 1h 47m." "28 sold in 2 hrs." People don't act because something's good. They act because it's about to be gone. Real-time scarcity and shipping-cutoff badges, right in the cart. Pressure, applied politely.

The best time to sell someone is right after they've already bought. Card's out, guard's down, dopamine's up. Post-purchase offers let you drop a one-click upsell after checkout. No re-entering payment. Add a timer and watch the "maybe later" turn into "fine, yes."

Your A/B tests aren't wrong. You're just averaging Tuesday-morning re-uppers with Saturday afternoon basket-builders. For example, 1 brand tested 3 free shipping thresholds. $200 won, but on weekends only. Weekdays hated it. That's why we built Time-of-Day Segmentation.

1 billion checkouts in. Here's what it's taught us: >> Checkout is a trust moment, not a form >> Shipping is a huge lever in ecom >> Accuracy beats optimism >> AOV and CVR aren't enemies >> The best brands are always testing

18 features. One quarter. Here's what we shipped at @prettydamntweet in Q1, ranked by how badly your checkout needs it 🧵

We recently launched MAXX Chat. Ask anything about your checkout, get an answer in seconds, backed by your store's data and benchmarks from hundreds of leading brands.

Paste your URL. In seconds, see where revenue is leaking, where friction lives, and what's quietly holding performance back. Operators and product teams are already on Checkout Index, try it yourself. checkoutindex.prettydamnquic…

A shopper finds a discount code. Types it in at checkout. It fails and the shopper leaves. That's a checkout problem, and it's completely fixable. New from PDQ: Discount Code Rejection Recovery. Turn failed codes into conversion opportunities instead of abandoned carts.

$270 billion in recoverable revenue is lost at checkout every year. @MoskowitzAvi is obsessed with saving as much of that as possible. How? By simulating retail. IRL requires minimal trust — you buy what you want, you walk out the door with it. Online shopping is completely different. In fact, there’s a reason Amazon succeeded; its online experience creates the certainty of an in-person shopping experience. The buyer knows exactly … - When they’ll get it - How they’ll get it - How much it’ll cost … all before they even place their order. Avi is saving DTC brands from leaky checkouts by giving their customers an IRL experience … online. Check out the full 63-min episode where Mina Zandbar (VP of Mattel) and @MoskowitzAvi (CEO of @PrettyDamnTweet) join @codyplof (CEO, Jones Road) and @couuor (CMO, Ridge) to share their playbooks.

Your checkout sees one shopper. Ours understands: cart value, shipping zone, promo sensitivity, purchase history, device, and 1,600 other signals. Then acts on all of them automatically. That's how you win checkout.

2.3% → 3.8% checkout conversion sounds like a footnote. At $10M revenue, that's $1.5M you were leaving on the table. Every year. Checkout isn't a feature. It's a profit center.

Our 2025 was so jam-packed we only got around to telling you about it now...

Jones Road Beauty just found $780K sitting in their "optimized" checkout. Then @codyplof checked 3 competitors and found even more opportunities. Here's what changed (and why it works) 👇

MAXX AI is live. Months of engineering and data work went into PDQ’s new AI CRO agent, now in the hands of our first beta customers. Go ahead, ask them anything about your checkout, and get insights in seconds.

We're split testing the @Shopify 1 page vs 3 page checkout on an 8-figure store. PDQ can do it, they swap the checkouts every 60 minutes. Better than an A-then-B test.