This case is my detailed analysis of the project. Morgan-Mills (morgan-mills.ru), where I was responsible for the full range of work, from product design to site design to engineering analytics, content automation and multichannel marketing customization, and I focused on the technical component — rigorous data architecture, managed publishing processes and transparent performance metrics — and that was what drove sustainable growth. increase in the number of leads by 11 times (from baseline to stable numbers), reduction in the cost of engagement and a noticeable acceleration of content operations.

Context and objectives

When I started the project, the company lacked a modern public showcase and a holistic digital infrastructure, and the goals were ambitious and pragmatic.

  • Start a site from scratch – carefully design the structure, UI / UX and content model, so as not to fight with technical debt in six months.
  • Build transparent-analytics At the level of product events, not just a “visit counter”, and integrate traffic sources, CRM and advertising cabinets.
  • Automate content management so that publications and updates are fast, without errors and manual routines.
  • Set up multichannel marketing with a unified UTM hygiene system, end-to-end metrics and A/B testing.
  • Achieve measurable growth in applications and improve the economics of channels.

Design and Design: From Frame to Living Interface

I started with information architecture: partition map, category tree, page purpose > target action matrix. For key scenarios — catalog, product/service card, application form — designed user paths and microconversion points (viewing characteristics, downloading files, clicking on FAQs, switching to similar products).

The design was built around the ideas of speed/clarity/trust.

  • The layout with emphasis on printer And visual hierarchy: minimal distractions, maximum sense above the fold.
  • Semantic HTML structure for SEO and accessibility, correct heading markup, alternative text in media, readable forms.
  • One. component-design: cards, badges, advantage blocks, size tables, trust blocks (certificates, reviews), CTA zones.

The result is an interface that works equally well in “first touch” (cold traffic) and “deep reading” (warm traffic, returns, direct calls).

Performance and Stability Engineering

Speed is not cosmetics, it's conversion and crowing, and I've built a set of productivity practices.

  • Critical CSS Inline, the rest is loaded off; JS - defer/async, modular assembly.
  • Images Convert to WebP/AVIF, srcset generation, lazy downloads, preconnect to CDN.
  • On the server, HTTP/2Gzip/Brotli, correct cache-headers; at the application level - caching fragments and query results.
  • Forms optimized: deferred validationInstant field response, spam protection with minimal friction for the real user.

As a result, the site consistently shows good performance Core Web Vitals and withstands spikes in traffic during peak periods of campaigns.

Analytics Architecture: From Events to Product Management

I put the "skeleton" of analytics on a stack Matomo + PostHog + Airbyte + Apache SupersetWhere each instrument has its own role:

  • Matomo The reference source for business and channel web statistics: sessions, sources, landing pages, UTM history, goals, plus custom variables for capturing page type, filter status, and search parameters.
  • PostHog — event-based Product analytics: detailed user events (viewing the card, interaction with the characteristics table, clicks on micro-CTA), featureflags, simple retension fungs and funnels.
  • Airbyte Connectors for regular uploading of data from Matomo, PostHog, ad offices and CRM into a single storage. incremental Discharge and tracking of schemes.
  • Apache Superset - visual layer and self-service Reports. Teams are available with boards: Sources and Campaigns, Funnels/Events, Content and Indexing, Forms and Leads.

The key point is vocabularyI described it in tracking plan The names, parameters, data types and business sense of each event, which eliminated discrepancies and allowed metrics to be compared between sections and periods without “term error.”

Reliable data: UTM hygiene, deduplication, quality control

To make the “through” analytics really end-to-end, I have implemented strict practices:

  • UTM standards Sources and campaigns are normalized, register/typos don't break reports.
  • Deduplication of events In Pipiline, anti-spam filters and smoothing out anomalies (abnormally short sessions, unnaturally frequent submits) so that reports do not “lead to the forest.”
  • Pipeline monitoring Airbyte: Allerts for increment skips, circuit changes and long tasks. retry and check points.

As a result, the reports I was guided by reflected reality, not noise.

SEO as an Engineering Discipline

I approached organic traffic systematically:

  • Technical SEO: correct canonicals, site map, pagination logic, filter indexing, hreflang if necessary, schema.org micromarkup (Organization, Product/Offer, FAQ, BreadcrumbList), correct 3xx/4xx/5xx and fine-tuning robots.
  • Content model: templates of cards with NO duplication; unique intros and blocks of advantages, live FAQ, media materials with useful signatures.
  • Linking: map of internal links by entity, weight hubs, "related" goods/articles, navigation crumbs, snippets "similar issues".
  • Log analysisRegularly parsing server logs to see real bot behavior, find dead ends and crowing anomalies.

By removing technical barriers and a thoughtful content model, we have accelerated indexing, improved visibility and reduced junk traffic.

Automation of content management

To keep the content alive and updated, I built a pipeline:

  • Essence templates CMS with mandatory fields and validation (meta, alt, structured data) to make the publications “correct by default”.
  • Quality checklists for editors right in the interface: meta tag length, key density, FAQ/media/internal links, uniqueness of intro.
  • Import/update through superscripts: prices, availability, properties - without manual routine work.
  • Previews and statuses publications, so that the content passes a clear path "draft → editing → fact check → publication".

This approach has dramatically reduced the time from idea to page, and therefore faster to close search demand and hypotheses.

Multichannel Marketing: A Single System and A/B Culture

I've configured the contour of the channels:

  • Search campaigns based on the real semantic core and negatives; landing ones are always relevant to the ad, personalized on request.
  • Media and social - with frequency restrictions, UGC mechanics and segmentation by depth of interaction with the site.
  • E-mail and retargeting – scenario chains with triggers for events (viewing a category, adding to a favorite, abandoned form, revisiting).

Campaigns are accompanied A/B testing (via PostHog Ficheflags and Experiments): Headings, shape length, CTA options, trust block location, card structure, and I fix the winners in the design system as the "new normal" and move on.

End-to-end metrics and management boards

In Superset, I’ve put together panels that really help manage:

  • AcquisitionSources/campaigns, session cost and lead, weekly dynamics, brand and non-brand demand contribution.
  • Behavior: depth, behavioral events, outflow points in funnels, click map on key blocks.
  • Content: indexing, positions by cluster, CTR of snippets, the share of traffic drivers pages.
  • Leads: conversion of forms, validity of applications, SLA processing, results of pronunciations (if there is a CRM feed).

And the reports are not for beauty. I was planning sprints based on their signals: what cluster of search clusters, landers, experiments, we take, what barriers we remove first.

Safety and compliance

With user data in mind, I have ensured safety hygiene:

  • Encryption on transport (HTTPS) and storage of sensitive data, strict rights in the admin, audit of plugins and updates.
  • Safe forms (CAPTCHA, behavioral filters, honeypot), injection protection and XSS checklist.
  • Access logs and administrator actions, notices of suspicious activity.

Team processes and operational practices

To make sure that the system doesn’t depend on “heroism,” I set up the processes:

  • Release calendar With cenjlog and recoil points.
  • Documentation Analytics (tracking plan), content (guide tone and structures), SEO (checklists and procedures), marketing (UTM-rules).
  • Regular review Superset boards: weekly sprints and monthly retros, which really gave an increase.

Results: lead growth, traffic quality and predictability

Most important of all, steady growth of applicationsThrough an integrated approach, we have reached an increase in leads in 11 times In parallel, the supporting metrics: depth of interaction, percentage of target events per session, percentage of valid applications have improved. The important thing is that this is not a one-off luck, but the result of an engineering approach: each block of the system knows its inputs/outputs and measures in numbers.

That worked especially.

  1. Data architecture from day oneDon't collect "what you have to do" -- collect "what you need to do for decisions." Tracking plan and a single dictionary save months.
  2. Automation of contentContent is not a “write somewhere” but a managed pipeline with validation and templates.
  3. Technical SEO A fast, clean, predictable site itself improves both crowing and conversion.
  4. Unified UTM DisciplineWithout it, end-to-end analytics becomes fortune telling. With it, it's a management tool.
  5. Culture of ExperimentationSmall A/B steps, but on a consistent basis, melt the "feelings" into incremental increments.

A little bit about numbers and operating economics

For completeness of the picture – a few illustrative observations on the results of implementation (with emphasis on business sense):

  • The cost of a lead has sunk by properly allocating budgets and eliminating "noisy" bundles. bounce Low-targeted events were cut without affecting the total volume of applications.
  • Organic traffic contributed the most to stable leads after eliminating technical bugs and launching the content matrix, which reduced the dependence on paid channels for a long time.
  • Deep behavioral events (such as technical specification disclosure or description download) showed strong correlations with conversions—these points I put into key areas of the screen.

Conclusion

This project is an example of how the “website” ceases to be just a page on the Internet and becomes a “website”. production-system: with a content pipeline, a measurable funnel, transparent analytics, and predictable improvements, and I consciously kept my focus on engineering -- and that was the main growth arm. Morgan-Mills It has not just a beautiful showcase, but a mature digital platform on which you can confidently scale your business.