30-point CVR checklist: a site audit list that actually moves revenue

"Paid sessions are coming in, but purchases aren't following." "Cart abandonment after add-to-cart is too high." The discomfort most ecommerce operators feel almost always traces back to one thing: CVR (Conversion Rate) leakage. CVR is the simple ratio of purchasing sessions to total sessions, yet the levers to improve it are scattered across 30+ items, and it is hard to see where to start.

This article organizes the CVR levers operators actually use into 6 areas × 30 items, and orders them by impact range and effort. Working top to bottom is also the order that moves revenue. For thinking about CVR and AOV together, read Improving CVR and AOV simultaneously: a 4-area frame from the revenue decomposition formula. For AOV-only levers, see How to correctly calculate and raise AOV (average order value).

Key takeaways#

1. CVR levers organize into 6 areas, 30 items

   Tech / UX / Trust / Pricing & promotion / Cart & checkout / Personalization. Each area has a different impact range and effort profile

2. Fix in the order "high impact × low effort", top-left of the quadrant

   LCP improvement, cart persistence, shipping disclosure, form minimization — 8 items in the "impact medium-or-above × effort low" zone move half of the revenue

3. Chasing CVR alone has a trap that drops AOV and RPS (revenue per session)

   The classic failure: coupons get CVR up but AOV down, and revenue doesn't grow. Covered at the end

1. The big picture of CVR improvement: where does fixing move revenue#

CVR is one of the 3 elements in the revenue decomposition formula.

Revenue = Sessions × CVR × AOV (Average Order Value)

Lift CVR from 1.5% to 2.0% without changing sessions, and revenue grows by about 33%. As a way to grow revenue without raising ad spend, CVR improvement is one of the highest-ROI areas.

Decomposing CVR into a funnel#

CVR is not a single number — it is the product of per-stage pass-through rates.

• Product detail page view rate (PDP View Rate)
• Add-to-cart rate
• Checkout initiation rate
• Purchase completion rate

Identifying which stage the drop-off happens at — using GA4's funnel report (built on top of the official Default Channel Group definition[3]) or RevenueScope's realtime feed — before choosing a lever sharply narrows the hit-or-miss range.

The 30-check overview#

The 30 checks are organized as 6 areas × 5 items.

2. Tech area, 5 checks: render speed and errors eat CVR#

The Tech area is the foundation: if you don't fix this, nothing else works. When Web Vitals[1] metrics are red, every UX and promotion improvement layered on top leaks out before reaching CVR.

1. LCP (Largest Contentful Paint) within 2.5 seconds: time until the largest element (product image or hero) is rendered
2. CLS (Cumulative Layout Shift) at 0.1 or below: if buttons shift during load, mis-taps cause exit
3. 404 error monitoring: old SKUs or legacy URLs from email and ad clicks should not hit 404
4. Mobile layout breakage: weekly check that forms and purchase buttons don't break on major OS × browser combos
5. HTTPS and Mixed Content: no http:// references left in images or iframes

Of these 5, LCP improvement has the largest effect. Ecommerce operators commonly report CVR lifts of roughly 5–15% when LCP moves from 4s to 2s.

3. UX area, 5 checks: forms and navigation are the main drop-off causes#

If users have chosen a product but aren't completing the purchase, the issue lives in the UX area.

6. Purchase form has 8 or fewer fields: trim required fields to address, name, phone, card minimum
7. Guest checkout available: requiring account creation cuts CVR by 20–30%
8. CTA button color and label: "Add to cart" / "Proceed to checkout" labels and contrast clear
9. Search bar accuracy: handles typos and naming variations on product names
10. Mobile scroll volume: on the PDP, the add-to-cart button sits above the fold

Among these, opening up guest checkout is the canonical example of "small to implement, large effect on CVR". Baymard Institute's cart abandonment research also lists "forced account creation" as one of the top abandonment reasons[2].

4. Trust, Pricing, Cart areas — 15 checks supporting "the moment of purchase"#

What pushes purchase-ready users back at the last moment is gaps in the Trust, Pricing, and Cart areas.

Trust area, 5 checks#

11. Shipping cost and delivery time disclosed up front: designs where shipping cost first appears in the cart are the top cause of cart abandonment
12. Path to return / refund policy: readable in 1 click from the PDP
13. Review count and star rating: number of reviews and average rating shown at the top of the PDP
14. SSL mark and payment logos: card, PayPay, Amazon Pay, and similar logos make payment options visible
15. Contact path: chat or phone number present in both the footer and the PDP

Pricing & promotion area, 5 checks#

16. Comparison price displayed: regular price vs sale price, or vs market price, in one line
17. Free shipping threshold clearly shown: "Add ¥X more for free shipping" hint at the cart
18. Coupon application clarity: the coupon code field should not appear only at the last step of checkout
19. Out-of-stock alternative recommendation: same-category substitutes
20. Restraint on flash-sale messaging: excessive urgency actually lowers CVR

Cart & checkout area, 5 checks#

21. Cart persistence: holds 7+ days without login
22. Multiple payment options: at least 3 of credit card, convenience store, PayPay, Amazon Pay, BNPL
23. Postal code autofill for address entry
24. Numeric keyboard on card number entry (mobile)
25. Error messages: not "card number is wrong" but "please check the digit count of the number" — specific

Of these 15 items, the 3 highest-ROI levers are cart persistence, shipping disclosure, and the free-shipping threshold.

5. Personalization area, 5 checks: build the "one more nudge" as a system#

The final nudge on CVR is built by showing per-user differentiated information.

26. PDP recommendations based on browsing history
27. Cart abandonment recovery email: one message within 24 hours
28. Exit-intent popup: free-shipping nudge triggered when the mouse moves toward the browser top
29. Returning-visitor member perks
30. Chat launch right before exit

Once these 30 items are all audited, the ceiling of CVR comes into view.

6. The trap of chasing CVR alone, and looking through the revenue lens#

Fix all 30 checks and CVR will definitely rise, but if you chase CVR alone, revenue growth often comes in smaller than expected. The reason: some of the strongest CVR levers carry a side effect of dropping AOV (average order value).

For example, "20% off coupon for everyone" lifts CVR instantly, but AOV and gross margin drop at the same time. Read through Revenue = Sessions × CVR × AOV, and revenue grows only marginally while gross profit declines. The frame for improving both at once is covered in Improving CVR and AOV simultaneously: a 4-area frame from the revenue decomposition formula.

The product I'm building, RevenueScope, is designed to show CVR, AOV, and RPS (Revenue Per Session) on a single screen, complementary to GA4. GA4 is a traffic-first measurement tool, and getting CVR out of it usually means jumping across multiple reports. RevenueScope, by contrast, is built to start from revenue and resolve back to per-channel CVR, AOV, and RPS on one screen. After fixing items from the 30-point checklist, you can see which channel actually moved revenue end-to-end, which sharpens the decision on what to fix next.

"Fix all 30 CVR checks and call it done" isn't enough for self-managed ecommerce — verifying the result through revenue is what closes the operational loop.

Related articles in /news/en:

• How to correctly calculate and raise AOV (average order value) (AOV pillar: 10 levers)
• Improving CVR and AOV simultaneously: a 4-area frame from the revenue decomposition formula (CVR/AOV joint frame)
• The correct design for a revenue dashboard (visualizing the revenue decomposition formula)
• What goes into utm_source for Meta Ads (prerequisite for per-channel CVR)
• Japanese version of this article

References#

1. Google Web.dev « Core Web Vitals » May 2026
2. Baymard Institute « 46 Cart Abandonment Rate Statistics 2024 » 2024
3. Google Analytics Help « [GA4] Default channel group » May 2026