humanswith.ai- Optimize lead cost
- Improve lead quality
- Test and implement effective hypotheses within 3 months
- Set up full-cycle analytics
- Automate processes
Cases · Archive · E-commerce · 2024
FurniFlex
Agency-era case study (2024).
This case was first published on the previous humanswith.ai site between 2019 and 2025 — before the platform pivot. Performance, SEO, CRM, content, or growth work from that era. Modern AI-search cases (with per-engine Hermes data) live at /cases.
Project passport
Results from using advertising on Meta
Reduction in CPL after changes were made (chart from Alytics by week)
Key outcomes
- successful combination found for scaling
- CPL reduced by half (from 145 to 27 AED)
- ROI 1.87-2.49% at 10% conversion rate
Section 01
Challenges faced by the team
Section 02
Challenges faced by the team
Lack of existing demand
New product without established market fit in the region.
High lead cost at launch
Initial CPL of 145 AED required urgent optimization.
Limited time to profitability
Need to make the channel profitable within 3 months.
Traffic source tracking complexity
Absence of configured analytics for proper attribution.
Section 03
Take the first step towards business growth - leave a request!
Book a Free AI Marketing Strategy Call
Filling out the form takes less than 1 minute and helps us prepare a tailored proposal specifically for your business.
1 Information
2 Contact
Website
Annual revenue of your business
1-year average revenue per customer (ARPU/ARPC)
Location
Next
Get Free Strategy in 24h1
The form takes less than 1 minutes to complete and helps us prepare a personalized offer for you and discuss it
1 Information
2 Contact
Your name
Your WhatsApp Number
Your email
How soon would you like to start working with us?
—Please choose an option—We have an urgent taskWithin 1-3 monthsWe are just gathering proposals, no urgencyOther
I agree with the privacy policy.
Back
Section 04
The scope of work was divided into 3 stages
Stage 1. Systematic hypothesis testing
Each hypothesis was tested using a clear algorithm:
Hypothesis
For example: «Launching a landing page will generate 32 leads at a CPL of 100 AED».
- Metrics
CPL, conversion rates, statistical significance (e.g., 570 clicks for analysis).
- Mockup
Visualisation of the idea before launch (Figma → Tilda).
- Audiences
Broad and targeted segments (e.g., parents, renters).
- Budget and timeline
No more than 6 hours to prepare a hypothesis.
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.
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
Integration with CRM via WhatsApp
Setup of UTM-tag and ClientID tracking
- Configuration of target events in Meta Ads
Tracking valuable actions: form submission, video view, session duration
- Automated lead qualification
Setup of filters in CRM based on behaviour and responses
Section 05
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.
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
End of archived case
Want a modern case? Hermes data, not Google Analytics.
The modern cases at /cases use a different proof model: per-engine AI mention rate, citation tracking across the answer engines, and delta reports after every scan. Different category, different proof, different era.