Success Stories

This page is an evidence library. Each case study is built around documented changes, before/after comparisons, and verifiable data sources. No generic claims. No theory. If a metric can’t be supported, it doesn’t appear here.

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Verification Standard Metrics shown are intended to be backed by reporting exports, analytics screenshots, or platform logs. Where data is confidential, we provide anonymised ranges and the proof method.
  • Before/After Views
  • Source Logged
  • Client Approved
A technical visualization of a website's loading sequence, highlighting optimized LCP (Largest Contentful Paint) and low INP (Interaction to Next Paint) for a Leicester business site.
Fast Load Experience

Performance-first builds designed to reduce lag and improve real user experience.

A technical dashboard showing specific optimization targets for INP (Interaction to Next Paint) under 200ms and LCP (Largest Contentful Paint) under 2.5s for a Leicester business website.
Core Web Vitals Targets

Targets for INP and LCP so your site feels responsive and stable.

A visual breakdown of a high-conversion page layout for a Leicester business, featuring clear CTAs, minimal form fields, and a friction-free user journey.
Conversion Clarity

Clear page layout and friction removal so users can take action faster.

A usability testing matrix for a Leicester website design, showing pre-release friction checks and post-launch INP (Interaction to Next Paint) verification.
UX Validation

Usability checks that validate the experience before and after release.

Browse Verified Case Studies

Filter by service type. Each card highlights the verification method and the before/after data view included in the full write-up.

CS-01 — AI SEO Visibility Lift (Stride)

AI SEO

Objective: increase inclusion for high-intent questions and improve citation consistency across AI answer experiences. Work focused on entity clarity, citation-ready page sections, internal linking discipline, and publish governance.

Verified Client Data Proof Method: Query-Set Log + Search Console Export + Change Log

Before → After Metric

AI inclusion / citation coverage (tracked question set)

Query Log

Before → After View

Target-page visibility trend (impressions/clicks on priority URLs)

GSC Export

Change Log

Entity cleanup + extractable answers + trust blocks + governance

Versioned

Evidence is held in an internal verification pack. Public extracts are redacted to remove identifiers and confidential values.

CS-02 — Local SEO Lead Lift (BhavPro)

Local SEO

Objective: improve local visibility for service-intent searches and increase enquiry actions. Work focused on business profile structure, NAP consistency, service page clarity, and ethical review capture workflow.

Verified Client Data Proof Method: GBP Insights Export + Search Console Export

Before → After Metric

Profile actions (calls / website clicks / directions)

GBP Export

Before → After View

Local-intent visibility trend on priority pages

GSC Export

Change Log

Listings alignment + category/service tuning + on-site trust structure

Versioned

Where exact numbers cannot be published, we document ranges and keep the proof method explicit.

CS-03 — PPC Efficiency & Waste Reduction (Itila)

PPC

Objective: reduce wasted spend and increase qualified lead actions. Work focused on search-term control, exclusion rules, intent segmentation, and conversion action validation.

Verified Client Data Proof Method: Google Ads Report Export + Search Terms Log

Before → After Metric

Cost/qualified action trend + conversion rate trend

Ads Export

Before → After View

Search term quality shift (blocked intent clusters vs converting terms)

Terms Log

Change Log

Negative rules + geo/time controls + tracking corrections

Versioned

Screenshots and exports are redacted to remove account identifiers and sensitive competitive information.

CS-04 — Web Performance Rebuild (DiuMitra)

Web Design

Objective: rebuild key templates for measurable UX stability on mobile and desktop. Work focused on reducing interaction delay (INP), improving render stability (LCP/CLS), and tightening component behaviour across real user journeys.

Related service: Website Design  •  Free AI SEO Audit

Verified Client Data Proof Method: PageSpeed/Lighthouse Exports + Release Log

Before → After Metric

INP / LCP / CLS trend on the same templates (tracked)

PSI Export

Before → After View

Comparable report runs across the same URLs and device profile

Lighthouse

Change Log

Script governance + image pipeline + layout simplification + cleanup

Versioned

We publish methodology + verification source types on-page. Full evidence packs are available on request, subject to client approval.

CS-01 — AI SEO Visibility Lift (Stride)

AI SEO

Objective: increase inclusion for high-intent questions and improve citation consistency across AI answer experiences. Work focused on entity clarity, citation-ready page sections, internal linking discipline, and publish governance.

Verified Client Data Proof Method: Query-Set Log + Search Console Export + Change Log

Before → After Metric

AI inclusion / citation coverage (tracked question set)

Query Log

Before → After View

Target-page visibility trend (impressions/clicks on priority URLs)

GSC Export

Change Log

Entity cleanup + extractable answers + trust blocks + governance

Versioned

Evidence is held in an internal verification pack. Public extracts are redacted to remove identifiers and confidential values.

CS-02 — Local SEO Lead Lift (BhavPro)

Local SEO

Objective: improve local visibility for service-intent searches and increase enquiry actions. Work focused on business profile structure, NAP consistency, service page clarity, and ethical review capture workflow.

Verified Client Data Proof Method: GBP Insights Export + Search Console Export

Before → After Metric

Profile actions (calls / website clicks / directions)

GBP Export

Before → After View

Local-intent visibility trend on priority pages

GSC Export

Change Log

Listings alignment + category/service tuning + on-site trust structure

Versioned

Where exact numbers cannot be published, we document ranges and keep the proof method explicit.

CS-03 — PPC Efficiency & Waste Reduction (Itila)

PPC

Objective: reduce wasted spend and increase qualified lead actions. Work focused on search-term control, exclusion rules, intent segmentation, and conversion action validation.

Verified Client Data Proof Method: Google Ads Report Export + Search Terms Log

Before → After Metric

Cost/qualified action trend + conversion rate trend

Ads Export

Before → After View

Search term quality shift (blocked intent clusters vs converting terms)

Terms Log

Change Log

Negative rules + geo/time controls + tracking corrections

Versioned

Screenshots and exports are redacted to remove account identifiers and sensitive competitive information.

CS-04 — Web Performance Rebuild (DiuMitra)

Web Design

Objective: rebuild key templates for measurable UX stability on mobile and desktop. Work focused on reducing interaction delay (INP), improving render stability (LCP/CLS), and tightening component behaviour across real user journeys.

Related service: Website Design  •  Free AI SEO Audit

Verified Client Data Proof Method: PageSpeed/Lighthouse Exports + Release Log

Before → After Metric

INP / LCP / CLS trend on the same templates (tracked)

PSI Export

Before → After View

Comparable report runs across the same URLs and device profile

Lighthouse

Change Log

Script governance + image pipeline + layout simplification + cleanup

Versioned

We publish methodology + verification source types on-page. Full evidence packs are available on request, subject to client approval.

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What “Verified” Means On This Page

Each case study follows the same structure so readers can quickly understand the change made, the result measured, and how it was verified.

Case Study Structure
  • Context: industry, service type, and the key constraint
  • Baseline: what was measured before changes were applied
  • Changes: the exact implementation steps (logged)
  • Outcome: before/after view using the same measurement method
  • Verification: where the evidence came from (export/screenshot/log)

If you want your results published, we’ll align what’s permissible to share and redact sensitive information while keeping verification clear.

A technical infographic showing the 5-stage verification process for SEO case studies: Context, Baseline, Changes, Outcome, and Verification.

Explore The Services Behind The Results

These case studies connect directly to the service pages and audit entry point.

AI SEO Services

Build visibility in modern AI answer surfaces with structured, citation-ready content and trust signals.

AI SEO Services

Local SEO Services

Improve local visibility and lead actions with profile optimisation, listings consistency, and trust improvements.

Local SEO

AI PPC Management

Performance-led paid search with query control, negative keyword automation, and reporting focused on ROI.

PPC

Web Design

Performance-first web builds with Core Web Vitals targets and measurable speed improvements.

Free Audit

Case Studies FAQs

Answers to common Case Studies questions.

A case study is marked verified only when we can evidence:
what was changed (implementation log), and
what improved (before/after comparison),
using the same data source and a comparable time window. If it can’t be supported, it doesn’t get published.

Most commonly: Google Search Console, GA4, Google Ads reports, Google Business Profile Insights, call tracking logs (where enabled), and platform exports/screenshots. We also keep a dated change log so it’s clear what was done and when.

No. Outcomes depend on competition, site history, technical constraints, budget, and execution speed. Case studies show what happened in a specific context and what actions drove it—so you can understand the method, not chase promises.

Yes. We can anonymise the business name and redact sensitive details while still keeping verification meaningful. Where needed, we publish ranges rather than exact figures and always state the proof method.

We use comparable periods (e.g., 28 days vs the previous 28 days, or month vs month), and we note any major external factors such as seasonality, tracking changes, promotions, or site migrations that could influence results.

Because single-keyword screenshots are easy to cherry-pick and rarely represent business impact. We prioritise evidence that reflects real performance: visibility trends, qualified actions, lead quality signals, and measurable improvements tied to documented changes.

We’ll say so. In those cases, the first step is usually fixing measurement (GA4/GTM/conversion actions). Some case studies may show “measurement stabilised” as an outcome before growth is reported.

Each case study is tagged by service type. Some outcomes come from combined work (e.g., site performance + on-page structure + tracking). Where multiple levers were involved, we break down the contribution clearly.

Yes. If you want a public case study, we’ll agree upfront what can be shared, what must be redacted, and what “verified” evidence will be used. Nothing is published without client approval.

Each case study includes a “Last updated” date and the verification source type (e.g., Search Console export, GBP Insights). When strategies or platforms change materially, we update the case study or retire it.

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