We Add +$1 Revenue Per Visitor.
Same traffic. More money kept.

Customers were buying, then complaining for weeks.

Customers kept complaining that turnaround time was around 4 weeks. We wanted to upsell expedited shipping — under 2 weeks for $100. We first tried offering it inside the cart. It didn't work.

So we tested a popup instead. When a user clicks checkout, we show them how they can get their items faster before they leave for the checkout page.

The right moment to solve shipping anxiety is at the point of no return.

If we show the expedited shipping option in a popup when the user clicks checkout — not while they are still browsing — we frame it as a decision about their order timeline, not an upsell.

From cart clutter to checkout clarity.

We removed the cart upsell entirely. Instead, when the user clicked the checkout button, a popup appeared before they left for the checkout page.

• Standard turnaround: ~4 weeks
• Expedited option: less than 2 weeks for $100
• No pressure. One click to add, one click to skip.

The framing was not "buy more." It was "choose your timeline." The user was already committed to buying.

We made sure we were not scaring buyers away at the finish line.

The popup could have backfired. Highlighting 4-week turnaround right before checkout might make users abandon. We watched purchase conversion rate closely. It held, then improved.

More people finished checkout. More people spent more.

The expedited shipping take rate was low. Most users stuck with standard shipping. But the popup removed the post-purchase surprise. Users who saw the timeline upfront bought with confidence instead of hesitation.

Customer support shipping tickets dropped 80%.

The revenue metrics were solid, but the business impact went deeper. Before the popup, support was fielding constant complaints about turnaround time. After the popup, those tickets fell by 80%.

The popup was not just a revenue tool. It was a support deflection tool. Customers who cared about speed saw the option. Customers who did not care saw the timeline and accepted it. Nobody was surprised after clicking buy.

The compound effect of a single checkout popup.

The test ran for 4 weeks. At ~226 visitors per day hitting checkout, rolling this out to 100% of traffic compounds fast.

A single popup at checkout. No discounting. No new traffic spend. Just better timing and transparency.

Test the same timing principle on other anxiety points.

After proving that checkout-stage transparency beats cart-stage upselling, we will test popups addressing other post-purchase friction points at the same moment. Warranty clarity, return policy visibility, production timeline details.

The cart was collapsing after customization.

We noticed a large drop between Add to Cart and completed purchase.

ATC rate was healthy.
But many users were exiting the website from cart.

We triggered an exit-intent survey only for users who:

• Had at least one item in the cart
• Were exiting the website

The dominant response:
"Unexpected costs."

As customers added engraving and customization, the total price wasn't clear.
They realized the full amount too late.

Before redesigning the cart, we tested a post-ATC popup explaining engraving cost.

It slightly lost.

Session recordings showed users closing the popup instantly.
Momentum dropped.
AOV tanked.

The issue was not price.
It was uncertainty and sequencing.

The issue wasn't price. It was uncertainty.

If customers could see how their total builds step-by-step,
instead of discovering it at the end,
purchase completion would increase.

We expected:

• ATC to remain stable
• Purchase CVR to increase
• RPV to lift

By removing uncertainty earlier.

From interruption to structure.

We replaced the popup with a multi-step cart:

• Step 1 — Product confirmation
• Step 2 — Customization
• Step 3 — Final total preview

Each step displayed updated totals in real time.

No late surprises.

Intent was the guardrail.

More people finished the purchase.

Then we tested how far we could push AOV.

After increasing purchase completion and lifting RPV by +$0.59,
we moved to the next lever: price expansion.

We tested offering engraving on both sides
instead of only front or back.

Goal:

• Maintain purchase CVR
• Increase average order value

Visitors loved the product but hesitated at the moment of truth.

Ewing Athletics carries authentic 90s basketball heritage. A premium brand with deep roots in sneaker culture. But on the PDP, visitors were hitting a wall. They saw the product, read the story, but when it came time to add to cart, they paused.

The problem was not interest. It was comparison uncertainty. Visitors had no anchor for how Ewing stacked up against Nike, New Balance, or budget alternatives. Without that mental model, they could not justify the price to themselves, so they left.

Confidence comes from honest comparison, not hard selling.

If we add an honest "Ewing vs Other Premium Brands vs Commodity Brands" comparison table on the PDP, visitors will better understand where Ewing wins and where it intentionally differs. That clarity should increase buying confidence and improve both Add To Cart rate and purchase conversion rate.

From guesswork to clarity.

We added a comparison table directly on the PDP. Three tiers. Ewing, Other Premium Brands, Commodity Brands. Compared on heritage, materials, price, exclusivity, and use case.

The table was honest. It showed where Ewing intentionally differed — price, authentic heritage, exclusivity. And where premium competitors legitimately competed — materials. Visitors can smell fake comparisons instantly. Honesty built trust.

We made sure we were not trading quality for volume.

RPV increased +8.98% with 90% confidence. AOV held nearly flat at ~$156, confirming the lift came from more conversions, not discounting.

More people added to cart. More people finished the purchase.

The comparison table created downstream confidence that carried visitors all the way through checkout. Both metrics moved with strong statistical confidence.

The compound effect of a single PDP change.

The test ran for 21 days. At ~1,260 visitors per day to the PDP, rolling this out to 100% of traffic compounds fast.

A single honest comparison table. No discounting. No new traffic spend. Just better clarity on the PDP.

Move the comparison table higher in the funnel.

After proving honest comparison lifts RPV and CVR on the PDP, we will test placing the same table on landing pages and the homepage. The goal is to pre-qualify traffic and build buying confidence before visitors even reach the product page.

Subscribers were slipping away before they understood the value.

Medify Air sells air purifiers with a consumable filter business model. The real profit and customer lifetime value comes from Subscribe and Save. But the option on the PDP was buried, minimal, and easy to miss.

Users were buying single units, then either not reordering filters or buying them from Amazon later. The Subscribe and Save take rate was lower than it should have been for a product with recurring consumables.

The issue was not price. It was clarity. Customers did not understand what subscribing actually meant for them.

The issue was not the offer. It was the explanation.

If we add a detailed Subscribe and Save section below the fold on the PDP, explaining the benefits in plain language, visitors will understand the value of subscribing versus buying once — and conversion will increase.

From a checkbox to a story.

We replaced the minimal Subscribe and Save checkbox with a dedicated section lower on the PDP.

• How often filters need replacing
• How much subscribers save per filter
• How the subscription can be paused or canceled anytime
• The environmental benefit of fewer one-off shipments

No pressure tactics. No countdown timers. Just a clear explanation of what subscribing actually looks like.

We made sure we were not confusing buyers with more content.

Adding a new section to the PDP always carries risk. More scrolling, more reading, more friction. We watched ATC rate closely to confirm the section helped rather than distracted.

More people understood the subscription. More people bought. More people subscribed.

The detailed section simply answered the questions buyers had before they felt confident clicking add to cart. The result was more conversions at the same order value.

The compound effect of a single PDP section.

The test ran for 53 days. At ~1,109 visitors per day to the PDP, rolling this out to 100% of traffic compounds fast.

A single section below the fold. No discounting. No new traffic spend. Just better explanation of a choice the customer was already considering.

Test the same transparency principle on the subscription management page.

After proving that detailed explanation increases conversion on the PDP, we will test expanding the same clarity into the post-purchase subscription portal. The goal is to reduce cancellation rates by showing subscribers the cumulative value they have already received.

The homepage was doing too much and guiding too little.

Iron Neck sells a niche fitness device with strong credibility in physical therapy and athletic training circles. The homepage had multiple products, scattered trust signals, and no clear path into the shopping flow. Visitors landed, scrolled through a wall of content, and either bounced or got lost.

We started by interviewing customers. The finding was clear: they lacked trust. The brand had real credibility, but the homepage wasn't communicating it early enough.

We had already proven in a previous test that shortening the homepage and moving trust signals to the top worked. That version featured only one product. But Iron Neck has a real product lineup. The question was whether we could keep the clarity of a simplified page while showing the full range.

Trust first, products second, but both visible early.

If we combine multiple Iron Neck products with trust elements placed higher on the page, visitors will see both credibility and variety upfront. This balance should improve PLP visits and overall conversion rate.

From cluttered billboard to curated storefront.

• Trust signals at the top — logos, testimonials, and expert mentions before any product scrolling
• Multiple products featured but organized with clear category labels
• Shorter overall page length — less scrolling to reach products and footer

The goal was not to show everything. It was to show the right things in the right order.

We made sure more PLP visits did not mean lower quality traffic.

A homepage that pushes more users to the PLP can backfire if those users are just browsing, not buying. We watched conversion rate and AOV to confirm the new traffic was qualified.

More people browsed. More people bought. More people spent.

The redesigned homepage did not just push more traffic to the PLP. It pushed better traffic. Users who saw trust signals early entered the product flow with confidence already established. That confidence carried through to higher conversion and higher spend per order.

The compound effect of a single homepage redesign.

The test ran for 6 weeks. At ~572 visitors per day to the homepage, rolling this out to 100% of traffic compounds fast.

A single homepage. No new ad spend. No discounting. Just better hierarchy of trust and products.

Test the same trust-first principle on collection pages.

After proving that early trust signals plus clear product organization lifts homepage performance, we will test placing expert endorsements and reviews at the top of collection pages. The goal is to maintain credibility momentum as users move from homepage to product browsing.

The door was locked and customers were walking away.

Few Moda operated as a subscription-only fashion shop. Members paid a monthly fee to access discounted prices. Non-members could browse, but at checkout they hit a wall. Subscribe or leave. No middle ground.

Users were adding items to cart at a healthy rate. But when they reached checkout and discovered a membership was required, the majority abandoned. Cart to begin checkout was collapsing. The intent was there. The access was not.

The issue was not product appeal. It was a forced subscription wall at the exact moment of commitment.

A locked door at checkout keeps out buyers, not just browsers.

If we allow users to purchase without a subscription at a higher price point, non-members will convert at full price instead of abandoning at checkout. Some will stay as one-time buyers. Others will experience the product quality and later subscribe.

From members-only to try-before-you-subscribe.

• Members continue to pay the subscription price
• Non-members can buy any item at 6x the member price
• Price difference shown transparently at checkout
• No subscription required, no account needed

The framing was not "pay more." It was "pay full price to try us out." The 6x multiplier was positioned as the true retail value, with member pricing shown as the benefit of subscribing.

We made sure we were not cannibalizing subscription revenue.

The biggest risk was members canceling their subscriptions to buy piecemeal at full price. We watched subscription churn rate and member AOV. Neither dropped. Members kept subscribing. Non-members finally had a way in.

The funnel opened. Revenue followed.

The non-member option did not just capture existing demand. It created new demand. Users who previously bounced at the subscription gate now had a reason to stay.

Non-subscribers became the best source of new members.

Of the users who bought at full price without a subscription, 66% returned within 90 days and purchased a yearly subscription. They tried the product, experienced the quality, and realized the math. Membership was cheaper.

The non-member purchase option was not a dead-end channel. It was a trial channel. Profit per visitor also climbed — full-price sales carry higher margins.

The compound effect of removing a single barrier.

The data below reflects the first 30 days at scale.

A single checkout option. No new traffic spend. No product changes. Just removing the subscription requirement and pricing accordingly.

Test a guided membership prompt for non-subscribers post-purchase.

After proving that non-member purchases convert to subscriptions at 66%, we will test a targeted membership offer immediately after checkout. The goal is to capture the subscription conversion while the product experience is fresh.