Is your site getting traffic but not customers? If so, you’re not alone—and this website redesign case study shows what to fix first. A mid-market e-commerce brand came to us with flat sales and rising ad spend. On mobile, customers bounced; on desktop, they stalled at checkout. Sound familiar?
Two data points framed the opportunity. First, mobile now accounts for ~60% of global web usage, so poor mobile UX punishes revenue. Second, Google’s Core Web Vitals correlate with lower abandonment, making performance a direct lever on conversions.
In this website redesign case study, you’ll see: the baseline numbers, the diagnostics we ran, the UX redesign and speed fixes we shipped, how we A/B tested the rollout, and the measurable outcomes—a 60% lift in website conversion rate within 90 days. You’ll also get a practical checklist to replicate the approach, along with pro tips from 15+ years of delivering website redesign services that actually move the needle.
What problem were we solving—and what was the baseline?
Before recommending any UX redesign, we quantified the leak:
- Traffic: 210k sessions/month (58% mobile).
- Conversion rate: 1.5% overall; 0.9% mobile, 2.4% desktop.
- Checkout abandonment: ~72% (in line with global benchmarks).
- Page speed: Median LCP 5.4s on mobile; INP “needs improvement.”
The data matched broader industry patterns: global cart abandonment hovers near 70%, and slower sites convert worse—every second counts.
Constraints: Limited dev bandwidth, legacy WooCommerce theme, third-party scripts for chat and analytics, and a marketing calendar that couldn’t pause promos.
Success criteria: Raise overall website conversion rate by 30%+ without hurting SEO. The team wanted hard proof, not “prettier pixels”—hence this website redesign case study focused on CRO mechanics, not just a visual facelift.
How did we diagnose the conversion leaks?
We combined quant + qual:
- Analytics & funnels (GA4): Found a step-drop between product page → cart on mobile.
- Heatmaps & session replays: Showed “false bottoms” (scroll traps) and weak CTA visibility at 700–900px.
- 5-minute user tests (remote): Users couldn’t find sizing info; trust badges were below the fold.
- Performance audits (Lighthouse & Cr UX): LCP > 5s, layout shifts from late-loading fonts, heavy hero images.
- Checkout teardown: Address validation friction, unclear shipping estimates, coupon field anxiety—issues well-documented in e-commerce research with abandonment in the ~70% range.
Insight: The site didn’t have a single “conversion killer.” It had a cluster: slow first render, weak visual hierarchy, leaky cart micro-copy, and an overlong checkout. This website redesign case study would live or die on aligning UX with speed.
What redesign strategy did we choose (and why)?
We set a three-pillar plan for this website redesign case study:
1) Speed first (Core Web Vitals)
- Compressed hero media, deferred non-critical JS, in lined critical CSS, preloaded web fonts, and lazy-loaded below-the-fold images.
- Target thresholds: LCP ≤ 2.5s, CLS ≤ 0.1, INP ≤ 200ms. Meeting CWV correlates with ~24% lower abandonment—a direct CRO boost.
2) UX hierarchy for decision-making
- Sticky add-to-cart on mobile, larger price + free-shipping cue near CTA, first-screen social proof, and scannable benefits bullets.
- FAQ accordions next to the CTA (not buried).
3) Checkout simplification (CRO)
- Page less checkout with progress indicators, auto-address, upfront shipping costs, and delayed coupon entry (to reduce pogo-sticking).
- This aligns with best-practice patterns that reduce drop-off in checkout flows.
Guardrails: Preserve SEO signals (URL parity, redirects, structured data). This website redesign case study avoided the common pitfall of “pretty redesign, broken rankings.”
What exactly changed in the new experience?
Product page: clarity at a glance
- Clean product hero with zoom, color swatches above the fold, and a sticky CTA.
- Trust badges + delivery estimates beside price—not footer.
- Collapsed long descriptions into tiered accordions: “Fit & Sizing,” “Care,” “Shipping & Returns.”
Navigation & search: reduce hunt time
- Predictive search with thumbnails, surfaced “bestsellers” and “restocked” collections.
- Reduced top-nav items from 11 to 6, added persistent search on mobile.
Performance: render early, hydrate late
- WebP/AVIF, responsive srcset, Cloudflare CDN, script splitting.
- Server-side render the first screen, load enrichments after user intent.
- This matters because conversion rates typically fall as load times rise; e.g., Portent’s data shows conversion performance degrades sharply as pages slow.
Checkout: fewer fields, more confidence
- Guest checkout by default, one shipping method preselected, inline validation, and post-purchase upsells (not pre-purchase friction).
- These patterns address the universal ~70% cart abandonment head-on.
How did we run the rollout and A/B tests?
We never “flip the switch” blindly. In this website redesign case study, we:
- Staged rollouts:10% → 30% → 50% traffic over two weeks.
- Holdout control: Old site kept ~30% of traffic to isolate lift.
- Primary KPI: Completed orders / sessions (website conversion rate).
- Secondary metrics: AOV, funnel step completion, bounce rate, INP/LCP.
- A/B variations:
- CTA copy (“Add to Bag” vs “Get Yours Today”)
- Above-the-fold review count vs star rating only
- “Free shipping over PKR X” headline vs “Fast, free returns”
Tooling: GA4 + server-side experiments (so ad blockers don’t nuke data), and integrated post-purchase surveys asking “What almost stopped you from buying?”
Quality gates: Only ship variants that win on conversion and don’t tank CWV—because Google ties user experience to abandonment risk.
What results did we see after launch?
Within 90 days, the redesign drove:
- +60% overall website conversion rate(1.5% → 2.4%).
- +87% mobile conversion rate(0.9% → 1.68%).
- –28% bounce rateon PDPs.
- LCP:5.4s → 2.1s on mobile; INP:“needs improvement” → “good.”
- Checkout abandonment:down ~9 points (closer to best-practice cohorts).
The shape of improvement mirrored industry evidence: faster loads correlate with better conversion, and meeting CWV thresholds reduces abandonment. This website redesign case studyunderscores that conversion rate optimizationis inseparable from performance.
How much did it cost—and what was the ROI?
Budget (one-time):≈ PKR 3.8M (design, dev, QA, CRO, SEO migration, media).
Ongoing (annual):≈ PKR 600k (maintenance, testing roadmap, analytics).
Payback:Month 7—when incremental gross margin from the 60% conversion lift exceeded total investment.
Why it worked:We didn’t “add features.” We removed friction. The website redesign servicespackage bundled UX strategy, conversion rate optimization, and performance engineering under a single hypothesis-driven plan—then validated it with controlled experiments.
Can you replicate this? (Step-by-step checklist)
| Step | What to Do | Tools | Owner |
| 1 | Benchmark speed & funnels (LCP/INP, cart, checkout) | GA4, CrUX, Lighthouse | Analyst |
| 2 | Identify top 3 friction points | Heatmaps, user tests | UX/CRO |
| 3 | Ship “speed first” fixes | Image/CDN, code split | Dev |
| 4 | Redesign PDP above the fold | Sticky CTA, trust, benefits | UX |
| 5 | Simplify checkout | Guest default, inline validation | Dev |
| 6 | A/B test messaging & layout | Server-side experiments | CRO |
| 7 | Protect SEO in migration | Redirects, schema, parity | SEO |
| 8 | Iterate monthly on winners | Roadmap + QA gates | PM |
Pro Tip: Meet CWV “good” thresholds first; pages that hit those marks see measurably lower abandonment. Pair that with checkout best practices to chip away at the ~70% cart abandonment headwind.
Mini case studies (3 quick hitters)
1) B2B SaaS (Lead-gen):
Redesigned hero to emphasize value prop + social proof; swapped a long “Request Demo” form for a two-step flow. Result: demo conversion +46% and faster time-to-lead. Correlated with a move from “needs improvement” to “good” on INP.
2) Multi-brand Retailer (E-com):
Rationalized navigation, added predictive search, and compressed hero video to first-frame image. Result: PDP engagement up 22%; cart initiations up 18%; conversion followed as LCP dropped by half—consistent with research linking speed to conversion.
3) Local Services (SMB):
Added click-to-call sticky footer on mobile, simplified booking form to name/phone/time, and surfaced reviews above the fold. Result:call leads +39% with no ad budget increase. Demonstrates that UX redesign+ micro-CRO can be as powerful as media spend.
Expert Insights
- Speed compounds:You don’t “optimize once.” Budget 10–15% of your roadmap for ongoing performance work.
- Design = decisions:Move the info customers need nextinto their first screen.
- Test what matters:Test headlines, CTAs, and form length before you chase tiny color tweaks.
- Mind the mobile majority:With mobile usage around 60%globally, design on a real phone—not just a Figma frame.
What about content, SEO, and trust signals?
- Content:Convert spec sheets into benefits bullets and highlight objections (“Will it fit?” “How long is shipping?”).
- SEO:Maintain URL parity, set 301s for any changes, keep internal link equity, and re-submit sitemaps post-launch.
- Trust:Show review volume, not only star ratings; add clear shipping/returns near the CTA; place payment and security badges where decisions happen.
Authority resources to consult:
- Google Web Vitalsguidance and thresholds (for LCP, INP, CLS).
- Baymard’s checkout benchmarks (for abandonment and best practices).
- Portent’s speed vs conversion analysis (for the CRO linkage).
Conclusion
This website redesign case studyproves a simple truth: if your pages render faster, remove friction, and make decisions easy, your website conversion rateclimbs. The 60% lift wasn’t magic; it was the compound effect of speed, hierarchy, and checkout clarity—validated through disciplined testing.
If your metrics look similar—slow LCP, weak mobile performance, high checkout drop-off—your opportunity is likely the same. Start with a performance sprint, reframe your above-the-fold to answer the top three buyer questions, and shorten the path to purchase. Then test, learn, and iterate.
If you want help applying this playbook, our website redesign servicesbundle UX, conversion rate optimization, and SEO migration into a single, outcome-driven engagement. We’ll benchmark, design, ship, and prove the lift—just like we did here.
Next step:Run the checklist on your top revenue page today. Then prioritize the three biggest friction fixes for the next sprint.
FAQ
1) How long does a conversion-focused redesign take?
Typical projects run 8–12 weeks: 2 for discovery, 4–6 for design/dev, and 2 for testing and stabilization. Complex catalogs or custom apps can take longer.
2) Will I lose SEO after a redesign?
Not if you plan the migration. Keep URLs where possible, set 301 redirects, preserve metadata and schema, and monitor Search Console post-launch. Many sites gain visibility after cleanup.
3) What’s the fastest way to see a lift?
Tackle speed (LCP/INP) and first-screen clarity on your best-selling product page. Faster loads and clearer CTAs produce outsized gains, supported by industry research. (Portent, Chromium Blog)
4) Which experiments should I run first?
Test CTA wording/placement, pricing cues (e.g., free shipping threshold), review prominence, and shortening forms. These often yield large, validated improvements.
5) How do I measure success beyond conversion rate?
Track step-level funnel completion, AOV, return rate, and cohort-based LTV. Pair quant with post-purchase surveys to catch qualitative wins (clarity, trust, ease).
6) What budget should I expect?
Budgets vary. For SMB e-commerce, expect a scoped engagement for website redesign servicesthat covers UX, dev, CRO, and SEO migration. Plan OpEx for testing/maintenance (10–15% annual).
7) Can I apply this if I’m B2B/lead-gen?
Absolutely. Swap “checkout” for “demo request” or “contact sales.” Focus on speed, clarity, proof, and form friction. The same conversion rate optimizationprinciples apply.
