Navesh Dakdar — Digital Marketing & GrowthLet’s talk
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WORK & CASE STUDIES

Solving business challenges
through smarter marketing.

Explore the diagnosis, decisions, and measurement behind paid media, conversion, AI search, and automation.

EXPLORE THE COLLECTION

Find a case study.

4 case studies
4 monthsUS market

Improving qualified leads for a B2B logistics company

More qualified opportunities. The same ad spend.

+83%

Sales-qualified leads

24 → 44 per month

−45%

Cost per qualified lead

$250 → $136, rounded

$6,000

Monthly ad spend

Unchanged

The business challenge

A regional logistics business offers commercial freight, warehouse distribution, and scheduled B2B transportation. Its $6,000 monthly Google Ads budget produces enquiries, but many come from job seekers, individual moving requests, or customers outside the service area.

The challenge is to generate enquiries the sales team can realistically convert into commercial contracts.

Enquiry volume versus qualified opportunitiesMonthly leads · comparable periods
BeforeAfter
Enquiry volume versus qualified opportunities: Total leads, Before 80, After 71; Sales-qualified leads, Before 24, After 440255075100Total leads8071Sales-qualified leads2444
Total leadsBefore: 80 → After: 71
Sales-qualified leadsBefore: 24 → After: 44
THE IMPORTANT SIGNAL

Total enquiries decline by approximately 11%, while sales-qualified leads increase by 83%. The commercial outcome improves even though the top-line lead count falls.

Diagnosis & strategy 4 steps

Initial diagnosis

  • Broad keywords attract consumer and job-related searches.
  • All forms and calls count as conversions, irrespective of commercial intent.
  • Landing pages do not address freight and distribution requirements.

Strategy & execution

  1. Rebuild around commercial intent

    Segment campaigns into commercial freight, dedicated delivery, and warehousing/distribution. Add negative keywords for jobs, careers, personal moving, and unsupported freight, and refine geography.

  2. Qualify at conversion

    Capture company name, shipment type, commercial volume, pickup/delivery locations, and service requirements while keeping the form concise.

  3. Connect CRM outcomes

    Define unqualified leads, MQLs, and SQLs. Use GCLID-based attribution and offline conversion imports for qualified outcomes, with appropriate consent and data hygiene.

  4. Reallocate using sales signals

    Reduce spend on low-quality queries and prioritise services and locations producing sales conversations. Use qualified outcomes to inform bidding when sufficient volume is available.

Performance comparison Full data

Comparable 30-day periods

Baseline versus a stabilised 30-day period after optimisation. values.

Comparable 30-day periods
MetricBeforeAfter
Monthly ad spend$6,000$6,000
Clicks1,000923
Average CPC$6.00$6.50
Total leads8071
Raw conversion rate8.0%7.7%
Sales-qualified leads2444
Lead-to-SQL rate30.0%62.0%
Cost per SQL$250$136
Business impact & interpretation Context

Business impact

The campaign generated 44 sales-qualified leads per month, up from 24—20 additional qualified opportunities, an 83% increase, without increasing the $6,000 monthly ad budget. Cost per qualified lead fell from $250 to approximately $136, a 45% reduction. The share of enquiries qualifying for sales rose from 30% to 62%, giving the sales team a more commercially relevant pipeline even as total enquiries fell from 80 to 71.

Measurement context

Lead-quality measurement depends on consistent CRM definitions, attribution quality, and sales follow-through.

PORTFOLIO TAKEAWAY

Align the campaign’s definition of success with commercially qualified opportunities and the sales team’s needs.

8 weeksNorth American market

Landing page conversion rate optimisation

Turn more of the same traffic into quote enquiries.

+52%

Relative conversion lift

50 → 76 quote enquiries

6.33%

Redesigned conversion rate

Original: 4.17%

$98.68

Cost per lead

Original: $150

The business challenge

A residential painting company runs Google Search campaigns in a competitive North American market. Relevant visitors arrive on the landing page, but too few request a quote.

The initial diagnosis points to the page experience rather than primarily to traffic quality. A controlled A/B test compares the original page with a redesigned version.

Landing page conversion rateEqual-sized groups · 1,200 visitors per variant
Original ARedesigned B
Landing page conversion rate: Conversion rate, Original A 4.17%, Redesigned B 6.33%0%2%4%6%8%Conversion rate4.17%6.33%
Conversion rateOriginal A: 4.17% → Redesigned B: 6.33%
THE IMPORTANT SIGNAL

The supplied test counts show a 52% relative conversion improvement, with 26 additional enquiries per 1,200 comparable visits.

Diagnosis & strategy 5 steps

Initial diagnosis

  • Generic headline with weak alignment to the advertisement.
  • An eight-field enquiry form asks for unnecessary information.
  • Reviews and project photos appear far below the first CTA.
  • Heavy hero imagery slows mobile pages; trust signals are limited.

Strategy & execution

  1. Improve message match

    Use a specific service-and-location headline supported by a clear estimate-request CTA.

  2. Simplify the form

    Reduce eight fields to four essential fields, with further project details gathered after the initial enquiry.

  3. Strengthen relevant proof

    Surface genuine review excerpts, before-and-after photos, applicable service guarantees, and clear service-area details.

  4. Improve mobile usability

    Compress images, reduce unnecessary scripts, improve tap targets, and simplify the mobile layout.

  5. Test with a defined metric

    Randomly assign eligible visitors to the original and redesigned pages. Count unique, valid quote enquiries as the primary conversion.

Performance comparison Full data

Controlled A/B test comparison

Equal-sized test groups. Cost per lead assumes $7,500 spend for each group.

Controlled A/B test comparison
MetricOriginal ARedesigned B
Visitors1,2001,200
Quote enquiries5076
Conversion rate4.17%6.33%
Implied enquiries per 1,200 visits5076
Cost per lead at $7,500 spend$150$98.68
Business impact & interpretation Context

Business impact

The redesigned landing page generated 76 quote enquiries from 1,200 visitors, compared with 50 enquiries from the same number of visitors on the original page. That delivered 26 additional quote opportunities and a 52% relative improvement in conversion rate. At $7,500 spend per group, cost per lead fell from $150 to $98.68—$51.32 less per enquiry, or a 34% reduction—improving acquisition efficiency without additional traffic.

PORTFOLIO TAKEAWAY

Combine behavioural insights with structured experimentation to improve conversion efficiency.

SEO & AI SEARCH

Back to case index ↑
5 monthsNorth American market

Improving AI search visibility for a local service business

Expand search visibility beyond conventional rankings.

2.6×

AI brand mention rate

12.5% → 32.5%

+24%

Organic search clicks

2,400 → 2,976/month

+161%

AI-referred sessions

31 → 81/month

The business challenge

A multi-location home improvement business has established organic traffic and commercial keyword rankings, but rarely appears when prospective customers ask AI assistants for service recommendations.

The objective is to improve visibility in AI-generated recommendations while maintaining conventional SEO performance.

AI brand mention rateFixed set of 40 prompts · baseline and final measurement
BaselineMonth 5
AI brand mention rate: Brand mention rate, Baseline 12.5%, Month 5 32.5%0%10%20%30%40%Brand mention rate12.5%32.5%
Brand mention rateBaseline: 12.5% → Month 5: 32.5%
THE IMPORTANT SIGNAL

A 32.5% mention rate means the business appears in 13 of the 40 monitored prompts. It does not mean the brand appears in 32.5% of all AI searches.

Diagnosis & strategy 6 steps

Initial diagnosis

  • Service information is scattered across poorly connected pages.
  • Important customer questions lack direct answers.
  • Business listings and service descriptions are inconsistent.
  • Independent evidence of completed work is limited.
  • Structured data does not consistently describe services, locations, and business information.

Strategy & execution

  1. Set a repeatable baseline

    Monitor a fixed set of 40 non-branded prompts covering recommendations, comparisons, pricing questions, and service-area queries.

  2. Create answer-focused content

    Explain services, pricing considerations, project timelines, exclusions, and decision criteria directly on service pages.

  3. Strengthen entity consistency

    Standardise business profiles, citations, descriptions, contact details, and location information.

  4. Build proof and credibility

    Add detailed project case studies, authentic testimonials, project imagery, service-specific FAQs, and relevant third-party mentions.

  5. Improve discoverability

    Refine internal links, hierarchy, crawlability, and appropriate LocalBusiness and Service structured data. Treat markup as a clarity aid, not a citation guarantee.

  6. Monitor under controlled conditions

    Repeat the same prompt set using controlled location, account, and testing conditions. Track both brand mentions and website citations.

Performance comparison Full data

Fixed-prompt visibility measurement

baseline and final values; 40 fixed prompts per measurement period.

Fixed-prompt visibility measurement
MetricBaselineMonth 5
Prompts monitored4040
Prompts generating brand mentions513
AI brand mention rate12.5%32.5%
Prompts with domain citations39
Organic search clicks/month2,4002,976
AI-referred sessions/month3181
Business impact & interpretation Context

Business impact

The work demonstrates a possible relationship between stronger content, clearer brand information, and improved AI discoverability. Organic clicks are a useful supporting signal.

Measurement context

AI responses fluctuate. Identifiable AI referrals do not capture all AI-influenced visits. The organic uplift cannot be attributed entirely to GEO without accounting for other SEO changes, seasonality, and search demand.

PORTFOLIO TAKEAWAY

Extend search strategy beyond rankings through measurable AI visibility reporting, useful answers, and stronger online brand signals.

12 weeksService business

Automating a service business sales workflow with n8n

Connect the journey from enquiry to completed sale.

2.5 min

Median initial response

Previously 45 minutes

+36%

Appointment bookings

28 → 38 per month

−20h

Manual administration

32 → 12 hours/month

The business challenge

A home services company receives leads from Google Ads, Meta Ads, website forms, and telephone calls. Follow-up is manual, records are scattered, and lead assignments are inconsistent.

The objective is a connected, largely automated process from lead capture to sales reporting. Human salespeople remain responsible for consultations and closing.

Monthly sales funnel improvementSame incoming lead volume · comparison
BeforeAfter
Monthly sales funnel improvement: Incoming leads, Before 120, After 120; Appointments, Before 28, After 38; Completed sales, Before 8, After 1103570105140Incoming leads120120Appointments2838Completed sales811
Incoming leadsBefore: 120 → After: 120
AppointmentsBefore: 28 → After: 38
Completed salesBefore: 8 → After: 11

The connected workflow

n8n orchestrates the process; human salespeople handle consultations and closing.

  1. Lead acquisitionGoogle Ads · Meta · Website · Call tracking
  2. n8n orchestrationNormalise · Deduplicate · Validate · Attribute
  3. Qualification & routingService · Location · Urgency · Owner
  4. Customer communicationAcknowledgements · Booking links · Reminders
  5. CRM & sales teamTasks · Statuses · Escalations
  6. Revenue reportingAppointments · Quotes · Sales · Channel ROI
THE IMPORTANT SIGNAL

With lead volume unchanged, appointments rise from 28 to 38 and completed sales from 8 to 11. Median response time falls from 45 minutes to 2.5 minutes.

Diagnosis & strategy 5 steps

Initial diagnosis

  • Leads enter disconnected systems and require manual handling.
  • Ownership and follow-up are inconsistent.
  • Marketing channels are difficult to connect to completed sales.

Strategy & execution

  1. Phase 1 · Data integration

    Connect sources via webhooks, supported APIs, and scheduled synchronisation where needed. Standardise contact details, source, campaign, requested service, and timestamps.

  2. Phase 2 · Qualification and assignment

    Use rule-based scoring, location checks, duplicate detection, and automatic assignment. Notify sales immediately about high-priority enquiries.

  3. Phase 3 · Customer follow-ups

    Send acknowledgements and appointment reminders through approved channels. Stop sequences on reply, opt-out, or the relevant CRM status.

  4. Phase 4 · Revenue tracking

    Connect sales outcomes to original enquiries, reporting source, appointments, quote value, completed sales, and revenue attribution.

  5. Phase 5 · Monitoring and reliability

    Add error alerts, retry logic, duplicate protection, failed-workflow logs, and manual review queues to limit lead loss during API failures.

Performance comparison Full data

Comparable monthly funnel results

30-day periods with 120 unique leads in each period.

Comparable monthly funnel results
MetricBeforeAfter
Unique incoming leads120120
Median initial response time45 min2.5 min
Appointments booked2838
Lead-to-appointment rate23.3%31.7%
Completed sales811
Lead-to-sale rate6.7%9.2%
Manual administration/month32 hours12 hours
Business impact & interpretation Context

Business impact

Assuming a constant $2,500 average completed job value, modelled monthly closed sales value rises from $20,000 to $27,500: an increase of $7,500, or 37.5%.

Measurement context

Closed sales value is modelled using the stated average job value. Attribution should account for staffing, demand, and other process changes. Administration savings are estimates.

PORTFOLIO TAKEAWAY

Reduce response delays, make follow-up more consistent, and connect marketing acquisition to sales outcomes.

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