PDQ's Product Updates

The best time to sell someone something is right after they've bought. Now you can, with a one-tap offer that shows up before the thank-you page.

Think about where the shopper is in that moment. Their card is already out. They already decided to trust you. The hard part is done. Those few seconds after "buy" are the cheapest revenue in your whole funnel, and almost nobody uses them, because the old way of grabbing them (a second checkout, another card entry, one more form) kills the moment it's trying to use.

So we skipped all of that.

How it works:

• A shopper finishes checkout and sees one relevant offer before they hit the thank-you page
• One tap adds it to the order they just placed. No forms, no re-entering a card, no second checkout
• Not interested? One tap to decline and they're on the confirmation page

What you can configure:

• Offer rules: Pick which product shows up, matched to what they just bought
• Discount: Add a percentage or fixed discount so the one-time offer actually feels like one
• Urgency: Drop in an expiry timer so it's clear the deal is for this order only
• Segmentation: Show offers to everyone or to specific segments, like first-time vs. returning, AOV bands, device, or location
• A/B testing: Try the offer on a segment before you turn it on for everyone

It's incremental revenue from the customers most likely to say yes, because they already did.

Real urgency, shown right on the product line item. Stock counts, purchase signals, and shipping cutoffs, sitting exactly where the shopper is already looking.

There's a moment in every checkout that costs you more than you'd think, and it isn't the abandon. It's the pause. The hand stops moving. The price gets read a second time. The other tab starts looking interesting. They haven't changed their mind, they've just stopped reaching for the wallet.

Most brands try to fix that with noise. Sitewide countdowns, fake stock alerts, banners that reset on every visit. Shoppers clock it for what it is and stop noticing by about the third visit. The urgency that actually works is the kind they can check for themselves: how much is left, who just bought it, whether it'll get there in time.

That's what these tags do.

How it works:

• Add Urgency Tags to the order summary in your PDQ checkout
• Each tag lives on the product line item, showing stock level, recent demand, or a shipping cutoff
• Everything updates in real time, so what the shopper sees is actually true

What you can configure:

• Stock counts: Show what's left ("Only 7 left") or lean into scarcity ("Limited edition, 50 items only")
• Purchase signals: Surface real demand ("28 sold in 2 hrs")
• Shipping cutoffs: Run a live "Ships today if you order in 1h 47m" countdown to the cutoff
• Appearance: Change the copy, icons, and styling so it looks like your brand, not ours
• Targeting: Show tags to everyone or specific segments, and A/B test before you roll out

A shopper who's made it this far isn't really shopping anymore. They're deciding whether to finish.

Fully customizable, updates in real time, live now in PDQ.

You can now run A/B tests in your Extensions and Shipping Methods, targeted by the hour or day a shopper checks out.

A clean win at the aggregate level can hide completely different shopper behavior underneath. A Saturday basket-builder and a Tuesday reorder are not the same buyer. Average them, and the sharpest signal in your test goes flat.

How it works:

• Set up an A/B test in Extensions or Shipping Methods like you normally would
• Add a time-of-day or day-of-week condition (weekends only, weekdays 11am–2pm, late-night browsers, etc.)
• PDQ runs the variant only when the condition matches, and reports results by segment
• See the lift for each window, not just the average

What you can configure:

• Hour-of-day windows: lunchtime, evenings, late nights, or any custom range
• Day-of-week conditions: weekends, weekdays, specific days
• Combine with existing segments: stack with first-time vs. returning, AOV bands, or geo
• Compare across time slices: see exactly where the lift came from

Try it (when the time is right!)

Let shoppers upgrade to a bundle or swap to a better variant, right at checkout — without leaving the page.

If you sell bundles, kits, or tiered products, you've probably watched shoppers buy the single when the pack exists. Product Upgrade puts the option in front of them at the moment they're most committed.

How it works:

• A shopper reaches checkout with a product that has an upgrade path configured
• A dropdown appears in the order summary showing the bundle, premium variant, or add-on they can switch to
• One click. Cart updates instantly. No redirect, no re-entering info.

What you can configure:

• Trigger rules: Map any product to its upgrade — match by product, variant, tag, or collection
• Segmentation: Show upgrades to all shoppers or specific segments (first-time vs. returning, device type, custom)
• Appearance: Customize the dropdown label and styling to match your brand
• A/B testing: Test the extension on a segment before rolling out to everyone

Use cases brands are running now:

• Single cookie → cookie bundle
• Standard size → premium size
• Base product → product + stand or case
• One serum → full skincare set

Only shoppers with a matching trigger product see the upgrade prompt. Everyone else gets a clean checkout - no generic pop-ups, no irrelevant offers.

Show real product reviews at checkout, matched to whatever's in the shopper's cart.

What's new:

• Dynamic Reviews extension: upload a CSV of your product reviews, and PDQ displays them at checkout, matched to each product in the cart.
• 3 layout options: Rating Badge (compact inline stars + review count), Review Carousel (scrollable cards with review text), or Review List (stacked with pagination).
• Fully designable: customize star colors, fonts, and spacing to match your brand.
• Fallback reviews: toggle on a generic review for products that don't have reviews in the CSV yet.
• Control how many show: limit the number of reviews displayed per page (carousel and list layouts).

Coming soon: Direct integrations with Okendo, Judge.me, Yotpo, and more- so you won't need CSV uploads at all. Plus star-rating filtering and reviews on upsells and gift-with-purchase.

How to set it up: Checkout Content → Add Extension → Dynamic Reviews → Upload your CSV (download our template first). Or review the help center article.

Rescue failed coupon attempts and keep shoppers in checkout!

You know the moment: a shopper types in a coupon code, it gets rejected, and they bounce. That failed discount attempt just cost you an order.

The new Discount Code Rejection extension catches that rejection in real time and automatically offers an alternative discount, right there in checkout, before the shopper leaves.

How It Works

When a shopper enters an invalid coupon code at checkout, Shopify rejects it. PDQ's Web Pixel picks up on that rejection instantly and displays a replacement offer — either as a banner with the discount details, or as a clickable widget where the shopper can apply the new code in one click.

You set the rules: match specific codes (exact match, prefix, or regex), choose the replacement discount type (percentage or fixed amount), set expiry and combination rules, and decide whether the new discount auto-applies or requires a click.

What You Can Do With It

Rescue abandoned checkouts — failed coupon codes are one of the top reasons shoppers leave checkout. Now you can catch them before they go.

• Run flexible replacement rules: match by exact code, prefix, or regex pattern. Offer a generated one-time-use coupon or point to an existing store discount.
• Personalize the message: use dynamic fields like {replacement_discount} and {customer_name} to make the offer feel personal.
• Choose how it looks: pick between a banner (informational) or clickable widget (with an "Apply Discount" button). Customize colors, button style, and CTA text.

The extension is live now. Check out the setup guide to get started, or reach out to support@prettydamnquick.com if you have questions.

MAXX Chat is here. Ask anything about checkout and get instant, data-backed answers: no dashboards, no waiting.
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Built specifically for checkout, not generic AI. MAXX understands free shipping, coupons, segments, and delivery.
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Ask things like:

• "What's driving the conversion drop in California?"
• "Should I raise my free shipping threshold to $85?"
• "Which shipping methods are most profitable?"

MAXX doesn't just show data: it gives you 2-3 specific strategies to test next, pulled from real results across thousands of brands.

And it's already available to all PDQ users.

Your checkout analyst, in your inbox every morning.

MAXX Digest delivers the insights that matter, fully automagically.

Conversion trends, anomaly alerts, experiment results, and recommended next actions, straight to your inbox.

Just open MAXX Chat, ask anything, and click Schedule Insight to have it delivered to your inbox every day or week.

You can stop guessing what to optimize next. The Strategy Library puts 200+ winning strategies from across PDQ's customer base at your fingertips, powered by MAXX and personalized to your store.

Each strategy comes with expected impact, setup effort, and a ready-made testing plan. Think: showing "Arrives by Friday" on product pages for an 8-15% add-to-cart lift, or embedding upsells inside shipping selection at checkout.

MAXX learns what works for stores like yours and surfaces the highest-probability winners based on your traffic, catalog, and margins.

Find it in your dashboard in the Optimize section of the side-bar.

We rebuilt PDQ's home page. Say hello to the Impact Dashboard.

Log in and instantly see what's moving the needle conversion lifts, revenue impact, active experiments, and where to focus next. No digging.

Imagine opening PDQ and seeing your Free Shipping Progress Bar drove $12,400 this week, California is converting 15% above baseline, and MAXX already has your next experiment queued up.

It's live now. Go take a look, and let us know what you think!