Marketing That Solves Real Business Problems

Below are illustrative growth scenarios: how we would approach common problems in each industry. They are not client results. Verified case studies will be published with client permission.

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Illustrative scenarios

How We Approach Problems Across Industries

Hypothetical examples based on common situations. No client names, results or statistics are implied.

Illustrative scenario

Manufacturing

Situation
A mid-sized manufacturer sells through dealers and exhibitions. Website enquiries are rare and mostly unqualified.
Problem
Product pages are brochure PDFs, so buyers searching by specification or application never find the company. Quotation requests arrive by phone, email and WhatsApp with no tracking.
Our approach
  • Rebuild key product pages around specifications, applications and FAQs
  • Capture quotation requests through one structured form with quantity and location
  • Run Google Ads on high-intent supplier searches with call and form tracking
  • Automate WhatsApp and email follow-up for open quotations
What we would measure
  • Qualified quotation requests
  • Enquiry-to-quotation rate
  • Response time
  • Organic visibility for product terms
Industry guide

Illustrative scenario

B2B Services

Situation
A B2B company with a long sales cycle depends on referrals and has no steady pipeline.
Problem
Decision-makers do not know the company, content does not address buyer concerns, and leads sit in spreadsheets.
Our approach
  • Define the ideal customer profile and one clear message per segment
  • Publish founder and company content on LinkedIn, supported by targeted ads
  • Create comparison and problem-led pages for evaluating buyers
  • Score and route leads to sales through a CRM workflow
What we would measure
  • Qualified opportunities from marketing
  • Cost per qualified lead
  • Lead follow-up time
  • Pipeline by source
Industry guide

Illustrative scenario

E-commerce

Situation
An online brand sells on a marketplace and its own store. Ad costs are rising while repeat purchases stay low.
Problem
Product pages are thin, abandoned carts are not followed up and budget is not allocated by product performance.
Our approach
  • Optimise listings and store product pages with unique content and structured data
  • Set up catalogue ads and remarketing
  • Build cart-recovery and repeat-purchase journeys on email and WhatsApp (with consent)
  • Report performance by product and campaign
What we would measure
  • Conversion rate by product
  • Cost per acquisition
  • Repeat purchase rate
  • Revenue from owned channels
Industry guide

Illustrative scenario

Real Estate

Situation
A developer runs lead campaigns for a new project. Enquiries are plentiful but few turn into site visits.
Problem
Leads are called back hours or days later, and the sales team cannot tell which are serious.
Our approach
  • Build a fast project landing page with clear visit-booking
  • Respond to every enquiry instantly with an AI assistant that asks budget, timeline and location
  • Prioritise call lists using the answers
  • Send consented reminders to reduce visit no-shows
What we would measure
  • Time to first response
  • Enquiry-to-site-visit rate
  • Cost per site visit
  • No-show rate
Industry guide

Illustrative scenario

Healthcare

Situation
A multi-specialty clinic wants more appointment enquiries from its own locality.
Problem
The Google Business Profile is incomplete, doctor pages lack detail and calls go unanswered at busy times.
Our approach
  • Complete and verify the Google Business Profile with accurate services and hours
  • Write patient-education pages reviewed by the clinical team
  • Add click-to-call and WhatsApp booking with tracking
  • Introduce a genuine review-request process, within platform and advertising rules
What we would measure
  • Appointment requests
  • Calls and direction requests from Maps
  • Local search visibility
  • Review volume and rating trend
Industry guide

Illustrative scenario

Education

Situation
An institution has a short admissions season and a small counselling team.
Problem
Counsellors answer the same questions repeatedly, and prospects who enquire early are forgotten until too late.
Our approach
  • Create a landing page for each programme with eligibility, fees where publishable and FAQs
  • Run seasonal Meta and Google campaigns by programme
  • Deploy an admissions assistant for common questions and counsellor call booking
  • Automate deadline and open-day reminders
What we would measure
  • Qualified admission enquiries
  • Counsellor calls booked
  • Enquiry-to-application rate
  • Cost per application
Industry guide

Illustrative scenario

Food & Grain / Flour Mills

Situation
A mill supplies distributors and institutional buyers, and wants to reach new regions.
Problem
Buyers outside the existing network cannot find the company online, and product information is scattered.
Our approach
  • Build product and quality pages covering grades, packaging and sourcing facts the company can verify
  • Optimise the Google Business Profile and trade-relevant search terms
  • Create a distributor enquiry journey with territory questions
  • Follow up on bulk and distributor enquiries through WhatsApp workflows
What we would measure
  • Distributor and bulk enquiries
  • Enquiries by region
  • Follow-up time
  • Organic visibility for product terms
Industry guide

Illustrative scenario

Professional Services

Situation
A consulting or advisory firm relies on personal networks for clients.
Problem
Expertise is invisible online and the website does not explain services in terms buyers search for.
Our approach
  • Create one clear page per service with direct answers, FAQs and credentials
  • Build founder authority through consistent LinkedIn content
  • Publish a few in-depth guides that answer real client questions
  • Add structured data and author information to support search and AI answer engines
What we would measure
  • Consultation requests
  • Branded and service search visibility
  • LinkedIn profile and content engagement
  • Mentions in AI answers (tested periodically)
Industry guide

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