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Home / Cases / FurniFlex

From the Humanswith.ai archive

FurniFlex

Case data Promotion features From hypothesis to LP creation ROI and key indicators Results from using advertising on Meta Reduction in CPL after changes were made (chart from Alytics by week) Website http://furniflex.ae/ Niche Data-driven marketing, B2C Location Dubai Target region UAE Budget 39,500 AED for 3 months Pr

Preserved from an earlier website era Case study December 11, 2024
  • Case data
  • Promotion features
  • From hypothesis to LP creation
  • ROI and key indicators

Results from using advertising on Meta

image (32)

Reduction in CPL after changes were made (chart from Alytics by week)

Brand

Website

http://furniflex.ae/

Scalable

Niche

Data-driven marketing, B2C

Cost

Location

Dubai

Cost

Target region

UAE

Focus

Budget

39,500 AED for 3 months

Faster

Project start

June 2024

Competitive

Result

successful combination found for scaling

Competitive

Result

CPL reduced by half (from 145 to 27 AED)

Competitive

Result

CPL reduced by half (from 145 to 27 AED)

Competitive

Result

ROI 1.87-2.49% at 10% conversion rate

Challenges faced by the team

1

Optimize lead cost

2

Improve lead quality

3

Test and implement effective hypotheses within 3 months

4

Set up full-cycle analytics

5

Automate processes

Challenges faced by the team

image container (10)

Lack of existing demand

New product without established market fit in the region.

image container (12)

High lead cost at launch

Initial CPL of 145 AED required urgent optimization.

image container (11)

Limited time to profitability

Need to make the channel profitable within 3 months.

image container (9)

Traffic source tracking complexity

Absence of configured analytics for proper attribution.

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    Frame 1321314052

    The scope of work was divided into 3 stages

    • Stage 1. Systematic hypothesis testing
      Each hypothesis was tested using a clear algorithm:
      1. Hypothesis
        • For example: «Launching a landing page will generate 32 leads at a CPL of 100 AED».
      2. Metrics
        • CPL, conversion rates, statistical significance (e.g., 570 clicks for analysis).
      3. Mockup
        • Visualisation of the idea before launch (Figma → Tilda).
      4. Audiences
        • Broad and targeted segments (e.g., parents, renters).
      5. Budget and timeline
        • No more than 6 hours to prepare a hypothesis.
      6. Result → conclusion → new hypothesis
      • Testing 3 types of landing pagesQuizzes (Marquiz)
        • Result
          • 67 leads at 66 AED each (within cost KPI).
          • Issue: Low lead quality, 0 sales.
        • Conclusion:
          • Quizzes are not suitable as a main landing page, but were kept as pop-ups on the website.
        • Action: Traffic was redirected to the main site
        Website
        • Result:
          • 20 leads at 145 AED each.
          • Plus: Improved lead quality.
          • Minus: High CPL.
        • Conclusion:
          • The website can be scaled, but requires optimization.
        • Action: Created a separate landing page
        Landing Page (LP)
        • Result:
          • 61 leads at 27 AED each (with a budget of 14,600 AED).
          • ROI: At 10% conversion rate, profitability is 1.87–2.49%.
        • Conclusion:
          • Facebook* delivers cheap and high-quality leads. Found a channel for scaling.
           
      Screenshot of metrics from the hypothesis test on improving advertising campaigns in ads leading to the landing page
    • Stage 2. Development and launch of the LP
      • Development of the landing page structure and creation of a mockup in Figma
      • Transfer of the mockup while preserving all layers and styles of the client's website using a plugin
      • Coding the landing page while maintaining the design of the main website, adapted for mobile version
      • Creation of a vertical video for the first screen of the landing page
      • Assembly of necessary blocks and transferring them to the Tilda platform
      • Adaptation of blocks for various screen resolutions
      • Publication of the landing page on a subdomain
    • Stage 3. Setting up advertising
      1. Integration with CRM via WhatsApp
        • Setup of UTM-tag and ClientID tracking
      2. Configuration of target events in Meta Ads
        • Tracking valuable actions: form submission, video view, session duration
      3. Automated lead qualification
        • Setup of filters in CRM based on behaviour and responses
    Write to us on WhatsApp

    Project results: how we achieved an effective lead channel

    The team developed and implemented a rapid landing page launch algorithm, which reduced the cost of applications by half while maintaining high lead quality. Key results:

    CPL reduced by half

    Optimization from 145 AED to 27 AED per lead

    >70% qualified leads

    Lead quality growth after filter implementation

    ROI 1.87-2.49%

    Profitability at 10% conversion rate

    image (34)

    Page status

    Mode Covered in the new library
    Inventory clicks 1
    Migration score 52
    Updated Jul 22, 2025

    We keep pages like this as part of the Humanswith.ai history layer and to preserve link continuity. The current positioning, products, and primary buyer-facing routes already live in the new platform.

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