From Word of Mouth to a Clear Online Presence
Dhobi in Chandigarh was already serving local customers, but its services, pricing and coverage areas were not presented together on a dedicated business website.
We created a fast, straightforward website that helps customers understand the services, see where the business operates and arrange a laundry pickup without unnecessary steps.

A Clearer Online Presence for a Local Laundry Business
Dhobi in Chandigarh relied mainly on word of mouth and scattered business information. We created one clear website for its services, locations and customer enquiries.

Built for Customers. Structured for Search. Kept Fast.
A code-led WordPress website created for a local laundry business, bringing services, pricing, service areas and direct enquiries into one clear customer journey.
Performance across devices
Dhobi in Chandigarh
A responsive local-service website designed around customer clarity, direct enquiries, local visibility and controlled performance.
Desktop and mobile experience
Tested on desktop and mobile
A code-led WordPress build with controlled functionality
The website uses WordPress, Astra and Elementor as the foundation, with custom HTML and CSS used to create the main customer-facing sections instead of relying on a pre-built website template.
- WhatsApp enquiry buttons
- Click-to-call actions
- Google Maps integration
- Customer review slider
- Service-area pages
- Contact form
- Pricing section
- Local SEO setup
Built to Stay Clear, Useful and Fast
A code-led local service website bringing services, pricing, service areas and customer enquiries into one clear experience.
Dhobi in Chandigarh
A responsive local-service website designed around customer clarity, direct enquiries, local visibility and controlled performance.
Mobile and desktop experience
Swipe left or right, use the arrows, or select a category.
Tested on mobile and desktop
A controlled, code-led WordPress setup
WordPress, Astra and Elementor form the foundation, while custom HTML and CSS were used for the main customer-facing sections instead of relying on a pre-built website template.
- WhatsApp enquiry buttons
- Click-to-call actions
- Google Maps integration
- Customer review slider
- Service-area pages
- Contact form
- Pricing section
- Local SEO setup
Concept Projects Built Around Real Business Problems
These examples demonstrate how AdScaleo would structure websites, campaigns and customer journeys across different industries. Each one focuses on practical priorities, clear measurement and conversion-focused execution.
Based on common problems businesses face when attracting and converting customers.
Each example shows the structure, priorities and actions we would recommend.
No fictional client relationships or unsupported performance claims.
The projects below are illustrative demonstrations, not published client results. They are included to show AdScaleo’s proposed strategy and implementation approach.
Concept Projects Built Around Real Business Problems
Practical examples showing how we would structure websites, campaigns and customer journeys across different industries.
These are illustrative demonstrations, not published client results.

Local Salon Booking Boost
Local SEO strategy to increase bookings and improve visibility.
Local Salon Booking Boost
Example Case Study • Illustrative example based on realistic benchmarks for UK local services.
The Challenge
The salon relied on foot traffic with limited online visibility. Bookings were inconsistent and unpredictable.
Our Solution
We optimised their Google Business Profile, built local landing pages, and improved local SEO with conversion-focused content.

Fashion Brand Revenue Growth
Google Shopping optimisation to improve ROAS and scale revenue.
Fashion Brand Revenue Growth
Example Case Study • Illustrative example based on typical ecommerce optimisation benchmarks.
The Challenge
The retailer had low conversion rates and inefficient spend on Google Shopping, resulting in weak ROAS and inconsistent revenue.
Our Solution
We restructured Shopping campaigns, optimised the product feed, added negative keywords, and adjusted bids using search term + product performance insights.

Spa Chain Lead Gen Uplift
Geo-targeted Meta campaigns to increase qualified leads and bookings.
Spa Chain Lead Gen Uplift
Example Case Study • Illustrative example showing a realistic Meta lead-gen optimisation path.
The Challenge
The spa chain received low-quality leads from generic campaigns and missed local high-intent audiences.
Our Solution
We refined targeting by location + intent signals, introduced geo-specific creative, and improved the landing experience with high-converting lead forms.

Makeup Brand Awareness Surge
Story + Reels creative testing to scale reach and follower growth.
Makeup Brand Awareness Surge
Example Case Study • Awareness campaigns measured with reach, frequency control, and follower lift.
The Challenge
A new beauty brand had limited visibility and needed to build awareness quickly with a controlled budget.
Our Solution
We launched Story + Reels placements, tested creatives weekly, and controlled frequency while scaling the best-performing assets.

Local Coffee Shop SEO Boost
On-page + GBP optimisation to grow local visibility and footfall.
Local Coffee Shop SEO Boost
Example Case Study • Local SEO improvements measured using Search Console trends + GBP optimisation.
The Challenge
The coffee shop wasn’t showing up for local searches and relied mostly on foot traffic.
Our Solution
We fixed key on-page issues, improved Google Business Profile signals, and published locally-focused content targeting “near me” search intent.

Email Campaign ROI
Lifecycle automation to improve retention revenue and conversions.
Email Campaign ROI
Example Case Study • Retention growth driven by automated flows and better segmentation.
The Challenge
The email list was underperforming with low opens and minimal conversions from campaigns.
Our Solution
We built lifecycle flows (abandoned cart + browse recovery), added product-personalised blocks, and segmented audiences to improve relevance.