Replatforming a High-Traffic SaaS Marketing Site for Speed, Scale, and Conversion

## Overview A fast-growing B2B SaaS company relied on its marketing site to drive trials, demo requests, and partner lead generation. Traffic had increased 4× year over year, but the site was still powered by a legacy CMS with a monolithic theme and a complex plugin stack. Editors were hesitant to publish and engineers were spending more time managing the CMS than shipping product. Core pages were slow, analytics were inconsistent, and experiment cycles were slow enough to miss quarterly goals. Webskyne was engaged to replatform the site with a performance-first architecture, modern content workflows, and a measurable conversion lift. We delivered a new Next.js-based marketing site integrated with a headless CMS, a scalable design system, and a robust analytics pipeline. The program prioritized measurable outcomes: faster pages, faster releases, and higher trial conversions.  ## Challenge The legacy site had grown organically for years, accumulating technical debt, redundant content templates, and hard-to-maintain plugins. Several issues compounded the problem: - **Performance bottlenecks:** Largest Contentful Paint (LCP) averaged 4.8–6.2 seconds on key landing pages. Images were unoptimized, and render-blocking scripts stacked up. - **Brittle release process:** The CMS required plugin updates and manual QA. Deploys often triggered regressions and schedule slips. - **Content workflow friction:** Editors lacked structured content types; pages were built with custom shortcodes and fragile layout blocks. - **Analytics gaps:** Events were tracked inconsistently across the site. Conversion attribution and experiment analysis lacked reliable data. - **Search and SEO decline:** Duplicate metadata, inconsistent schema, and long response times were hurting visibility. These challenges were directly impacting revenue. The marketing team reported a steady drop in trial-to-demo progression and increasing drop-off during peak campaign periods. ## Goals We aligned on measurable business and technical goals: 1. **Performance:** Achieve LCP under 2.5s on key landing pages and reduce total blocking time by 50%. 2. **Conversion:** Lift trial conversion by at least 15% within 90 days post-launch. 3. **Reliability:** Cut deployment time by 60% and eliminate regression-prone CMS updates. 4. **Content agility:** Enable non-technical editors to publish new campaign pages within one day. 5. **Analytics quality:** Deliver a unified event taxonomy and reliable attribution for experiments and campaigns. ## Approach We used a three-track approach that worked in parallel: architecture, content operations, and experimentation readiness. This allowed the business to keep running campaigns while we rebuilt the foundation. **1) Architecture & Performance** We selected Next.js with a hybrid rendering model (static generation + on-demand revalidation) to balance speed and editorial flexibility. We established strict performance budgets for images, scripts, and third-party tags. **2) Content Operations** We implemented a structured content model in a headless CMS and mapped existing pages into reusable content types. A design system with composable sections made page creation easy without custom code. **3) Analytics & Experimentation** We introduced a standardized analytics event taxonomy and integrated a server-side event relay to prevent ad blockers and browser privacy changes from breaking tracking. This ensured experiments could be trusted and continuously improved. ## Implementation ### Discovery & Audit We began with a comprehensive audit: - Core Web Vitals analysis across 40+ high-traffic pages - CMS plugin and dependency analysis - Content inventory and lifecycle mapping - SEO baseline and sitemap health checks - Analytics instrumentation review This informed the scope and prioritization. We defined a two-phase release: a foundation release with top-performing pages and a migration release for the long-tail pages and blog. ### Information Architecture & Content Model We consolidated 11 legacy page templates into 5 structured content types: Landing Page, Solutions Page, Product Page, Resource Page, and Blog Post. We created a library of reusable content blocks—Hero, Value Props, Case Proof, CTA, Pricing Teaser, FAQ, and Trust Logos. Editors gained a visual layout builder with guardrails, allowing them to assemble pages confidently. For governance, we added required metadata, preview thumbnails, and validation rules for SEO and accessibility. ### Design System & Front-End The design system was built in Figma and implemented as a component library in React. We emphasized accessibility (WCAG 2.1 AA) and created flexible variants for different campaigns without breaking consistency. We leveraged Next.js features to optimize performance: - Image optimization with responsive sizes and modern formats - Font optimization with `next/font` and self-hosted fonts - Automatic code splitting and critical CSS extraction - Edge caching for static pages with on-demand revalidation - Progressive hydration for heavy components ### CMS Integration We integrated the headless CMS via GraphQL, using typed content queries and automated schema validation. Editors could preview changes instantly via secure preview links. For long-tail content, we set up a migration pipeline with scripts that extracted legacy content, normalized metadata, and imported it into the CMS. This reduced manual re-entry and ensured consistent data quality. ### Analytics & Conversion Tracking We implemented a unified event taxonomy aligned to the marketing funnel. Events were captured from both client-side and server-side where possible. Key updates included: - Standardized events for trial signups, demo clicks, and content downloads - Server-side event relay to improve attribution and reduce lost events - Integration with the experimentation platform to support A/B tests and personalization - Dashboards with baseline conversion metrics and experiment overlays ### SEO & Content Quality We improved SEO foundations by enforcing structured metadata, canonical URLs, and schema. A dedicated SEO QA checklist was embedded into the publishing workflow, covering alt text, H1 structure, and metadata validation. ### QA & Launch We used automated Lighthouse audits and real-user monitoring (RUM) to test performance against budgets. The release was staged and rolled out in two waves to minimize risk. ## Results Within eight weeks of launch, the new platform delivered significant improvements: - **LCP improved from 4.8–6.2s to 1.7–2.2s** across key pages - **Total blocking time reduced by 63%** - **Trial conversion increased by 28%**, exceeding the 15% goal - **Build time reduced from 18 minutes to 7 minutes** on average - **Publishing workflow cut from days to hours**, with 70% fewer support requests - **Organic traffic increased by 19%** as SEO health improved In addition, the marketing team was able to run A/B tests weekly rather than monthly, and the product team gained confidence that their main marketing funnel was stable and measurable. ## Metrics Snapshot - **LCP (median, top 10 pages):** 5.4s → 1.9s - **CLS (median):** 0.24 → 0.04 - **TBT (median):** 620ms → 230ms - **Trial conversion rate:** 3.2% → 4.1% - **Average time to publish a new campaign page:** 3–5 days → <1 day - **Build time:** 18 min → 7 min - **Content errors reported by QA:** down 58% ## Lessons Learned 1. **Performance budgets must be enforced in code, not in guidelines.** We integrated automated checks into CI so regressions were caught early. 2. **Content modeling saves more time than any visual editor.** A well-structured content schema reduced rework and improved consistency across teams. 3. **Analytics reliability is a revenue lever.** When the data is trusted, experiments happen faster and results are acted on with confidence. 4. **Staged launches reduce risk without delaying value.** Early wins on key pages created momentum and buy-in for the full migration. 5. **Editor empowerment multiplies output.** The marketing team became self-sufficient, enabling new campaigns without engineering bottlenecks. ## Conclusion This replatform wasn’t just a technical upgrade—it was a measurable growth initiative. By aligning the architecture, content workflow, and analytics strategy, the company achieved a faster site, faster releases, and a stronger conversion pipeline. The new foundation now supports ongoing experimentation and a broader content strategy, positioning the business for sustained growth. If you’re facing similar challenges—slow performance, fragile CMS workflows, or unclear analytics—this case study shows that replatforming can be a strategic lever for growth, not just a rebuild.