PrettyDamnQuick (PDQ)

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.prettydamnquick.com

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.

@navdeepsoni @MoskowitzAvi everybody using PDQ!

@MoskowitzAvi is it open to all on checkout page or conditional?

Shopper types "SAVE20." Doesn't work. Tries again. Caps lock. No caps. Opens Google. Finds a dead Reddit thread. Closes the tab. Gone. 46% of shoppers bail when a code fails. We just shipped the fix.

$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.

@MoskowitzAvi @M__Operators @couuor @codyplof Check out the full episode ... YouTube: 9ops.co/i2ogu4 Spotify: 9ops.co/zskem6 Apple: 9ops.co/ibh3zm youtube.com/watch?v=rDnNsk…

Our CEO @MoskowitzAvi was recently on with Mina Zandbar from Mattel on @M__Operators with @couuor @codyplof

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) 👇

@yojimmykim 👏👏👏👏

I analyzed 1,200 abandoned carts last month. The top reason people didn’t finish their order? They couldn’t picture actually getting the package. Sounds weird, but watch how this plays out: Someone adds protein powder to their cart. Then they leave. Later, they see a retargeting ad saying “Still thinking about it?” That doesn’t help. They already know what the product is. Here’s what does help: Email subject: “Your package would arrive Thursday” Body: “Your order of [Product] ships today and arrives Thursday by 8 p.m. Here’s what happens next: Today: We pack your order in Austin Tuesday: FedEx picks it up and you get your tracking number Thursday: It’s delivered to your area Friday morning: You try it for the first time Want this timeline? Finish your order in the next 4 hours.” A supplement brand tested this against their usual cart reminder emails. The usual version said: “Don’t forget your cart! Here’s 10% off.” The new version showed the delivery timeline. Here’s what happened: • 3.2x higher open rate • 2.7x higher conversion rate • No discount needed Why did it work? Because people can picture the product. They just can’t picture it arriving, the box on their doorstep, opening it up, trying it out. Your job is to make that moment feel real. So instead of focusing on the product in your cart emails, focus on the delivery. Help people see the package showing up at their door, sitting on their counter, being used the next day.

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.

w/ some 🐐s - @VideoWiseHQ, @foreplay_co, @socialsnowball, @KnoCommerce, Quickfire, Tie, @SimpleBundles, @triplewhale, & @dotdigital, Alia, @OctaneAI

🚨 Oh Sh*t…It’s (almost) BFCM! 🚨 Good thing the Emergency BFCM Playbook is here. Packed with fast, step-by-step tactics you can implement in DAYS, not weeks, to drive revenue during (and after) BFCM.

Profitability > revenue this BFCM. Join @ wayflyerapp, @thirdandgrove & @PrettyDamnTweet to learn capital tactics, no/low-cost CRO wins, and shipping strategies that lift contribution margin. Save your seat: bwgconnect.com/bwg-event/prof…